Podcasts about sandboxes

In this episode of The Stream Life Podcast, Joel Vincent joins the show to talk about Cribl's latest innovation: a Lakehouse that's purpose built for telemetry data.  Resources Read the blog If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

KFI White House correspondent Jon Decker speaks on the latest out of the Oval Office. Google joins the list of companies distancing themselves from DEI. California EV sales flat in 2024. Can Newsom's mandate be met? Researchers tested sandboxes and street dust for lead after Eaton Fire… Here's what they found.

Have you ever left a sales meeting feeling uncertain whether your potential client will buy? If you've experienced clients nodding along but still feeling overwhelmed, you're not alone. In this solo episode, I share two powerful actions you can take to simplify the buying process for your clients. First, we'll explore the importance of using a visual industry map that highlights their journey and pain points. Then, I'll discuss how building an industry-specific sandbox allows clients to interact with your solution tangibly. These strategies have proven effective for tech consultants and partners across various industries, and I'm excited to help you implement them in your own sales process.Resources and LinksPrevious episode: 589 - AI 1st business with John MunsellCheck out more episodes of The Paul Higgins ShowSubscribe to our YouTube channel: @PaulHigginsMentoringThe Tech Consultant's RoadmapJoin our newsletterJoin the Tech CollectiveSuggested resourcesFind out more about Paul and how he can help you

There are railroads and there are sandboxes and never the twain shall meet, right?  Not so fast, my friend.  Today Jeremy discusses the two game types and multiple ways to blend them together.   #pf2e #Pathfinder #gmtips #dmtips #dnd #rpg #railroad #sandbox Resources: Game Masters of Exandria Roundtable:  https://www.youtube.com/watch?v=LmZSWKPXhZ4 Sandbox vs Railroad:  Which is Better?  https://www.thearcanelibrary.com/blogs/news/sandbox-vs-railroad-which-is-better?srsltid=AfmBOopkIlstCFvZ_Z2HSQu1-oxxkmLXKKzgH5jLgjzjQuX0m5_INiLA

Imagine you're in a facebook group chat with a bunch of people and someone asks what constitutes a sandbox in a TTRPG. How much does improv vs. preparation factor into it? Can the players go off and do absolutely anything they want? What happens when you run a complete dungeon crawl? Let's talk about it! ---------------------------------------------------------------- Want to watch these episodes live? Check us out at https://www.youtube.com/@somederpsplaygames or twitch.tv/somederpsplaygames Check out the podcast on Soundcloud: https://soundcloud.com/somederpstalkaboutgames Want to tell us something? Email us at podcast@somederpsplaygames.com Like our Facebook page too! www.facebook.com/SomeDerpsPlayGames/ We have a Patreon! https://www.patreon.com/somederpsplaygames Rate us on iTunes! https://itunes.apple.com/us/podcast/some-derps-talk-about-games/id1048899720 Follow us on Twitter! SDPG: twitter.com/somederps Buddy: twitter.com/thatbuddysola Mango: twitter.com/theonetruemango Intro and Outro courtesy of twitter.com/VinceRolin

In this episode of The Stream Life Podcast, Kam Amir and Aldo Dossola join the show to discuss Microsoft Ignite, Cribl's solutions for Microsoft Azure customers, and much more. Resources Microsoft Azure + Cribl: Better together If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Nick Heudecker joins the show to discuss Cribl's recent Series E round, how customers find value in our products, why they need a Data Engine for IT and Security, and how our products integrate seamlessly—without ever locking data in. Resources Cribl Closes $319M Series E Round at a $3.5B Valuation to Revolutionize Enterprise Data Management How to Avoid Vendor Lock-In Cribl Lake  If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

I remember opening up “Keep on the Borderlands” the first module I ever ran. It came in the D&D Basic Set and I thought it was very cool. The players started out in a keep, a perfect base of operations. It had a tavern, a blacksmith, a provisioner, and a chapel. Everything a growing adventuring party needs. From there the players would travel to the Caves of Chaos and explore underground lairs of beasts an monsters. You know, the dungeons of dungeons and dragons.To be fair I don't really remember much about those first games I ran. I remember the feeling of running them and how much fun I had, but I don't remember the details.As a game master I quickly moved away from the Modules and started doing my own thing. I would read modules, but then always felt like I had a better idea. So, I tended to do my own thing.Fast forward several years and I was playing more GURPS. Steve Jackson's Generic Universal Roleplaying System. That system was well known for its source books that help you world build, but had few written modules. That was perfect for me.After decades of making up my own adventures I decided that I wanted to run some of those talked about modules and, being a huge fan of Traveller decided our groups next game would be Pirates of Drinax (listen to our series The Anatomy of a Campaign for details on that one).I hated it.Ok, I didn't hate the idea or setting, but as a game master I hated being tied to the books, trying to make incidents and events happen that I was unfamiliar with, no matter how much reading I did. And of course, with every player question I found myself diving into the books and spending far to much time trying to find the answers.I should have learned my lesson.But I didn't. After Pirates I decided to take on an even bigger challenge with Masks of Nyarlathotep.And 30 episodes in, I am having a miserable time (please don't tell my players that)Personally, I like to make it up as I go.But that's just my opinion. Some people love pre-written modules. Other's prefer sandbox worlds and settings and still others enjoy the Western Marches style…oh, is that a new one for you. Don't worry we will cover that.In this episode Mike, Christina and I are going to talk about the type of campaigns. What's good, What's bad, and why?

Hosts: Gene MitchellAir date: August 17, 2024 Topic: VPNs & Sandboxes Special Guest(s):

Episode 84: In this episode of Critical Thinking - Bug Bounty Podcast, Justin is joined by Roni Carta (@0xLupin) to discuss their MVH win at the recent Google LHE, and share some technical observations they had with the target and the event.Follow us on twitter at: @ctbbpodcastWe're new to this podcasting thing, so feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!------ Links ------Find the Hackernotes: https://blog.criticalthinkingpodcast.io/Follow your hosts Rhynorater & Teknogeek on twitter:------ Ways to Support CTBBPodcast ------Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.Today's Guest: https://x.com/0xLupinToday's Sponsor - ThreatLockerTimestamps:(00:00:00) Introduction(00:02:12) MHV Debrief(00:09:05) Sandboxes and Comfort Zones(00:13:24) SDKs and Legal Compliance(00:19:29) Age of Target and Platform-Exclusive Hunters

In this episode of The Stream Life Podcast, Nick Heudecker joins the show to talk about Cribl's new research report, Navigating the Data Current 2024: Exploring Cribl.Cloud Analytics and Customer Insights. Resources Download the report Read Nick's blog If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Bradley chats with Cribl's Dariann Kobe about the second birthday of Cribl University and the new Cribl Certified Admin course.   Resources Learn more Cribl University If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Bradley chats with Cribl's Mike Dupuis about everything announced at CriblCon 2024! Resources Cribl Copilot: Your Trusted AI Wingman for Deploying, Configuring & Troubleshooting Cribl Accelerates Data Management Productivity with AI-Powered Copilot CriblCon 2024 Recap Blog Session Recap Watch the sessions on YouTube If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Bradley Chambers chat with Nikhil Mungel about Cribl Copilot. Cribl Copilot turbocharges efficiency and bridges the skills gap, ushering in the next generation of AI-augmented workforce empowerment for IT and Security.   Resources Cribl Copilot: Your Trusted AI Wingman for Deploying, Configuring & Troubleshooting Cribl Accelerates Data Management Productivity with AI-Powered Copilot   If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

Our second wave of speakers for AI Engineer World's Fair were announced! The conference sold out of Platinum/Gold/Silver sponsors and Early Bird tickets! See our Microsoft episode for more info and buy now with code LATENTSPACE.This episode is straightforwardly a part 2 to our ICLR 2024 Part 1 episode, so without further ado, we'll just get right on with it!Timestamps[00:03:43] Section A: Code Edits and Sandboxes, OpenDevin, and Academia vs Industry — ft. Graham Neubig and Aman Sanger* [00:07:44] WebArena* [00:18:45] Sotopia* [00:24:00] Performance Improving Code Edits* [00:29:39] OpenDevin* [00:47:40] Industry and Academia[01:05:29] Section B: Benchmarks* [01:05:52] SWEBench* [01:17:05] SWEBench/SWEAgent Interview* [01:27:40] Dataset Contamination Detection* [01:39:20] GAIA Benchmark* [01:49:18] Moritz Hart - Science of Benchmarks[02:36:32] Section C: Reasoning and Post-Training* [02:37:41] Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection* [02:51:00] Let's Verify Step By Step* [02:57:04] Noam Brown* [03:07:43] Lilian Weng - Towards Safe AGI* [03:36:56] A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis* [03:48:43] MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework[04:00:51] Bonus: Notable Related Papers on LLM CapabilitiesSection A: Code Edits and Sandboxes, OpenDevin, and Academia vs Industry — ft. Graham Neubig and Aman Sanger* Guests* Graham Neubig* Aman Sanger - Previous guest and NeurIPS friend of the pod!* WebArena * * Sotopia (spotlight paper, website)* * Learning Performance-Improving Code Edits* OpenDevin* Junyang Opendevin* Morph Labs, Jesse Han* SWE-Bench* SWE-Agent* Aman tweet on swebench* LiteLLM* Livecodebench* the role of code in reasoning* Language Models of Code are Few-Shot Commonsense Learners* Industry vs academia* the matryoshka embeddings incident* other directions* UnlimiformerSection A timestamps* [00:00:00] Introduction to Guests and the Impromptu Nature of the Podcast* [00:00:45] Graham's Experience in Japan and Transition into Teaching NLP* [00:01:25] Discussion on What Constitutes a Good Experience for Students in NLP Courses* [00:02:22] The Relevance and Teaching of Older NLP Techniques Like Ngram Language Models* [00:03:38] Speculative Decoding and the Comeback of Ngram Models* [00:04:16] Introduction to WebArena and Zotopia Projects* [00:05:19] Deep Dive into the WebArena Project and Benchmarking* [00:08:17] Performance Improvements in WebArena Using GPT-4* [00:09:39] Human Performance on WebArena Tasks and Challenges in Evaluation* [00:11:04] Follow-up Work from WebArena and Focus on Web Browsing as a Benchmark* [00:12:11] Direct Interaction vs. Using APIs in Web-Based Tasks* [00:13:29] Challenges in Base Models for WebArena and the Potential of Visual Models* [00:15:33] Introduction to Zootopia and Exploring Social Interactions with Language Models* [00:16:29] Different Types of Social Situations Modeled in Zootopia* [00:17:34] Evaluation of Language Models in Social Simulations* [00:20:41] Introduction to Performance-Improving Code Edits Project* [00:26:28] Discussion on DevIn and the Future of Coding Agents* [00:32:01] Planning in Coding Agents and the Development of OpenDevon* [00:38:34] The Changing Role of Academia in the Context of Large Language Models* [00:44:44] The Changing Nature of Industry and Academia Collaboration* [00:54:07] Update on NLP Course Syllabus and Teaching about Large Language Models* [01:00:40] Call to Action: Contributions to OpenDevon and Open Source AI Projects* [01:01:56] Hiring at Cursor for Roles in Code Generation and Assistive Coding* [01:02:12] Promotion of the AI Engineer ConferenceSection B: Benchmarks * Carlos Jimenez & John Yang (Princeton) et al: SWE-bench: Can Language Models Resolve Real-world Github Issues? (ICLR Oral, Paper, website)* “We introduce SWE-bench, an evaluation framework consisting of 2,294 software engineering problems drawn from real GitHub issues and corresponding pull requests across 12 popular Python repositories. Given a codebase along with a description of an issue to be resolved, a language model is tasked with editing the codebase to address the issue. Resolving issues in SWE-bench frequently requires understanding and coordinating changes across multiple functions, classes, and even files simultaneously, calling for models to interact with execution environments, process extremely long contexts and perform complex reasoning that goes far beyond traditional code generation tasks. Our evaluations show that both state-of-the-art proprietary models and our fine-tuned model SWE-Llama can resolve only the simplest issues. The best-performing model, Claude 2, is able to solve a mere 1.96% of the issues. Advances on SWE-bench represent steps towards LMs that are more practical, intelligent, and autonomous.”* Yonatan Oren et al (Stanford): Proving Test Set Contamination in Black-Box Language Models (ICLR Oral, paper, aman tweet on swebench contamination)* “We show that it is possible to provide provable guarantees of test set contamination in language models without access to pretraining data or model weights. Our approach leverages the fact that when there is no data contamination, all orderings of an exchangeable benchmark should be equally likely. In contrast, the tendency for language models to memorize example order means that a contaminated language model will find certain canonical orderings to be much more likely than others. Our test flags potential contamination whenever the likelihood of a canonically ordered benchmark dataset is significantly higher than the likelihood after shuffling the examples. * We demonstrate that our procedure is sensitive enough to reliably prove test set contamination in challenging situations, including models as small as 1.4 billion parameters, on small test sets of only 1000 examples, and datasets that appear only a few times in the pretraining corpus.”* Outstanding Paper mention: “A simple yet elegant method to test whether a supervised-learning dataset has been included in LLM training.”* Thomas Scialom (Meta AI-FAIR w/ Yann LeCun): GAIA: A Benchmark for General AI Assistants (paper)* “We introduce GAIA, a benchmark for General AI Assistants that, if solved, would represent a milestone in AI research. GAIA proposes real-world questions that require a set of fundamental abilities such as reasoning, multi-modality handling, web browsing, and generally tool-use proficiency. * GAIA questions are conceptually simple for humans yet challenging for most advanced AIs: we show that human respondents obtain 92% vs. 15% for GPT-4 equipped with plugins. * GAIA's philosophy departs from the current trend in AI benchmarks suggesting to target tasks that are ever more difficult for humans. We posit that the advent of Artificial General Intelligence (AGI) hinges on a system's capability to exhibit similar robustness as the average human does on such questions. Using GAIA's methodology, we devise 466 questions and their answer.* * Mortiz Hardt (Max Planck Institute): The emerging science of benchmarks (ICLR stream)* “Benchmarks are the keystone that hold the machine learning community together. Growing as a research paradigm since the 1980s, there's much we've done with them, but little we know about them. In this talk, I will trace the rudiments of an emerging science of benchmarks through selected empirical and theoretical observations. Specifically, we'll discuss the role of annotator errors, external validity of model rankings, and the promise of multi-task benchmarks. The results in each case challenge conventional wisdom and underscore the benefits of developing a science of benchmarks.”Section C: Reasoning and Post-Training* Akari Asai (UW) et al: Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection (ICLR oral, website)* (Bad RAG implementations) indiscriminately retrieving and incorporating a fixed number of retrieved passages, regardless of whether retrieval is necessary, or passages are relevant, diminishes LM versatility or can lead to unhelpful response generation. * We introduce a new framework called Self-Reflective Retrieval-Augmented Generation (Self-RAG) that enhances an LM's quality and factuality through retrieval and self-reflection. * Our framework trains a single arbitrary LM that adaptively retrieves passages on-demand, and generates and reflects on retrieved passages and its generations using special tokens, called reflection tokens. Generating reflection tokens makes the LM controllable during the inference phase, enabling it to tailor its behavior to diverse task requirements. * Self-RAG (7B and 13B parameters) outperforms ChatGPT and retrieval-augmented Llama2-chat on Open-domain QA, reasoning, and fact verification tasks, and it shows significant gains in improving factuality and citation accuracy for long-form generations relative to these models. * Hunter Lightman (OpenAI): Let's Verify Step By Step (paper)* “Even state-of-the-art models still regularly produce logical mistakes. To train more reliable models, we can turn either to outcome supervision, which provides feedback for a final result, or process supervision, which provides feedback for each intermediate reasoning step. * We conduct our own investigation, finding that process supervision significantly outperforms outcome supervision for training models to solve problems from the challenging MATH dataset. Our process-supervised model solves 78% of problems from a representative subset of the MATH test set. Additionally, we show that active learning significantly improves the efficacy of process supervision. * To support related research, we also release PRM800K, the complete dataset of 800,000 step-level human feedback labels used to train our best reward model.* * Noam Brown - workshop on Generative Models for Decision Making* Solving Quantitative Reasoning Problems with Language Models (Minerva paper)* Describes some charts taken directly from the Let's Verify Step By Step paper listed/screenshotted above.* Lilian Weng (OpenAI) - Towards Safe AGI (ICLR talk)* OpenAI Model Spec* OpenAI Instruction Hierarchy: The Instruction Hierarchy: Training LLMs to Prioritize Privileged InstructionsSection D: Agent Systems* Izzeddin Gur (Google DeepMind): A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis (ICLR oral, paper)* [Agent] performance on real-world websites has still suffered from (1) open domainness, (2) limited context length, and (3) lack of inductive bias on HTML.* We introduce WebAgent, an LLM-driven agent that learns from self-experience to complete tasks on real websites following natural language instructions.* WebAgent plans ahead by decomposing instructions into canonical sub-instructions, summarizes long HTML documents into task-relevant snippets, and acts on websites via Python programs generated from those.* We design WebAgent with Flan-U-PaLM, for grounded code generation, and HTML-T5, new pre-trained LLMs for long HTML documents using local and global attention mechanisms and a mixture of long-span denoising objectives, for planning and summarization.* We empirically demonstrate that our modular recipe improves the success on real websites by over 50%, and that HTML-T5 is the best model to solve various HTML understanding tasks; achieving 18.7% higher success rate than the prior method on MiniWoB web automation benchmark, and SoTA performance on Mind2Web, an offline task planning evaluation.* Sirui Hong (DeepWisdom): MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework (ICLR Oral, Paper)* We introduce MetaGPT, an innovative meta-programming framework incorporating efficient human workflows into LLM-based multi-agent collaborations. MetaGPT encodes Standardized Operating Procedures (SOPs) into prompt sequences for more streamlined workflows, thus allowing agents with human-like domain expertise to verify intermediate results and reduce errors. MetaGPT utilizes an assembly line paradigm to assign diverse roles to various agents, efficiently breaking down complex tasks into subtasks involving many agents working together. Bonus: Notable Related Papers on LLM CapabilitiesThis includes a bunch of papers we wanted to feature above but could not.* Lukas Berglund (Vanderbilt) et al: The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A” (ICLR poster, paper, Github)* We expose a surprising failure of generalization in auto-regressive large language models (LLMs). If a model is trained on a sentence of the form ''A is B'', it will not automatically generalize to the reverse direction ''B is A''. This is the Reversal Curse. * The Reversal Curse is robust across model sizes and model families and is not alleviated by data augmentation. We also evaluate ChatGPT (GPT-3.5 and GPT-4) on questions about real-world celebrities, such as ''Who is Tom Cruise's mother? [A: Mary Lee Pfeiffer]'' and the reverse ''Who is Mary Lee Pfeiffer's son?''. GPT-4 correctly answers questions like the former 79% of the time, compared to 33% for the latter.* * Omar Khattab (Stanford): DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines (ICLR Spotlight Poster, GitHub)* presented by Krista Opsahl-Ong* “Existing LM pipelines are typically implemented using hard-coded “prompt templates”, i.e. lengthy strings discovered via trial and error. Toward a more systematic approach for developing and optimizing LM pipelines, we introduce DSPy, a programming model that abstracts LM pipelines as text transformation graphs, or imperative computational graphs where LMs are invoked through declarative modules. * DSPy modules are parameterized, meaning they can learn how to apply compositions of prompting, finetuning, augmentation, and reasoning techniques. * We design a compiler that will optimize any DSPy pipeline to maximize a given metric, by creating and collecting demonstrations. * We conduct two case studies, showing that succinct DSPy programs can express and optimize pipelines that reason about math word problems, tackle multi-hop retrieval, answer complex questions, and control agent loops. * Within minutes of compiling, DSPy can automatically produce pipelines that outperform out-of-the-box few-shot prompting as well as expert-created demonstrations for GPT-3.5 and Llama2-13b-chat. On top of that, DSPy programs compiled for relatively small LMs like 770M parameter T5 and Llama2-13b-chat are competitive with many approaches that rely on large and proprietary LMs like GPT-3.5 and on expert-written prompt chains. * * MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning* Scaling Laws for Associative Memories * DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models* Efficient Streaming Language Models with Attention Sinks Get full access to Latent Space at www.latent.space/subscribe

In this episode of The Stream Life Podcast, I chat with Nick Romito about the journey to building support for 50k Cribl Edge nodes in customer deployments. Resources The Journey to 100x-ing Control Plane Scale for Cribl Edge If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Nick Heudecker joins the show to talk about his recent LinkedIn article about OCSF (Open Cybersecurity Schema Framework). Resources What is OCSF? Nick's recent LinkedIn article  If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Vlad Melnik joins the show to discuss all the news about Cribl's new Technical Alliance Partner program and why customer choice for data will be the decade's theme in IT and Security.   Resources Vlad's Blog Cribl's Press Release If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, I chat with a host of goats: Mary Mikkleson, Jackie McGuire, and Holly Anderson, about all the excitement around RSA Conference! Resources Book a demo with Cribl at RSA Conference  Empower Her - Women's Happy Hour at RSA Cribl + Exabeam + Corelight Happy Hour at RSA If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Bradley Chambers and Nick Heudecker discuss the state of today's data lakes, what customers need, and Cribl's newest product: Cribl Lake!   Resources Learn more about Cribl Lake Introducing Cribl Lake blog The Data Lake Dilemma: Why Businesses Need a New Approach If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app.   Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Felicia Dorng and Rick Salsa join the show to discuss Cribl's newest product: Cribl Lake!   Resources Learn more about Cribl Lake Introducing Cribl Lake blog The Data Lake Dilemma: Why Businesses Need a New Approach If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app.   Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Cribl's first nonfounder employee, Nick Romito, joins the show to talk about engineers at Cribl, how the team has scaled over the years, and much more. It's a fun show, as always! Resources Careers at Cribl Engineer Careers at Cribl If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app.   Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Zac Kilpatrick and Bradley Chambers chat about Cribl's Partner Awards! During our annual company kick off, we were thrilled to announce the Cribl Partner of the Year Award Winners, who are recognized for contributions, loyalty, and mutual commitment to delivering high value to customers within our partner ecosystem. Resources Read the blog to hear all the winners If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app.   Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

In this episode of The Stream Life Podcast, Mike Dupuis and I chat about CriblCon 2024, what's on the agenda, and why all IT and security engineers should attend. Resources Register for CriblCon 2024! If you want to automatically get every episode of the Stream Life podcast, you can subscribe on your favorite podcast app. Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl's suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs. We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.

Learn more about Tamara Strijack's offerings here.SIgn up for weekly playshops here: https://storypaths.substack.com/p/acc68ea7-3583-4165-b74a-096dff09b74bThis is the latest conversation in our Play Matters series.I've spoken with a board game designer about the theory of game design, and by extension, play-space design.I've spoken with a man who goes into prisons, who brings creative exercises into those difficult, stifled places, helping people unlock their hearts.I've spoken with a woman who brings play into ceremony and alternative education.I've spoken with an indigenous woman who brings play into her work of decolonization, cultural renewal, and intercultural bridge building.And now, I'm happy to bring you a conversation with my good friend Tamara Strijack, who works in education and child and adolescent support.She is a counselor and educator working on Vancouver Island, near where I'm living now, and she specializes in childhood and adolescent development. In the last 25 years, she's worked as a mentor, counselor, youth leader, program director, and group facilitator. And she's now mainly a parent consultant. She also offers workshops and teaches university courses for teachers and counselors in training.She's a mother of two and the daughter of Gordon Neufeld, and she works in the Neufeld Institute.In this conversation, we get into why play is so vital for human well-being. How it is such a mistake to consider it something that children do just to pass their time. It's an integral part of what we need to be healthy and grow at every stage in our lives, not just childhood. And it can be a space to practice what we might then do within the greater field of our life.Play is vital for these reasons and more.We also speak about how to craft zones of play for children and adults, although for adults, we might not call them play zones, we might call them something more official sounding. These can be physical spaces, but perhaps more importantly, they are emotional spaces.As you listen to this, I invite you to consider where in your life you have place spaces and where you might want to create or enhance play spaces. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit storypaths.substack.com/subscribe

On this week's episode Paul discusses an innovative approach to regulation that comes to us from Utah that has been embraced by red and blue states alike. The idea is the creation of "regulatory sandboxes" which  allows live, time-bound testing of innovations under a regulator's oversight. Paul discusses the issue with Rees Empey, Director of State Govt. Affairs at the Utah-based Libertas Institute and Brian Knight is the Director of the Program on Financial Regulation at the Mercatus Center based in the DC area.  The "Sandbox" issue has bipartisan support in the New Mexico Legislature having been introduced by Democrats in the 2023 session.  

This episode continues our survey of the topic of 'immersion" with the help of a meaty call-in from Safer plus a further look at the notion of examining the focus of attention through a split lens of immersion and engagement. Previous episodes on this topic can be found at links below. In addition, written posts supporting these episodes can be found at the Casting Shadows Blog: https://castingshadowsblog.com/2023/11/12/on-immersion-and-engagement-in-rpg-play/ On Immersion and Engagement episode: https://spotifyanchor-web.app.link/e/WLHX56euFEb Call-in episode on Immersion: https://spotifyanchor-web.app.link/e/ZvjRf5euFEb Layers of Play episode: https://spotifyanchor-web.app.link/e/S1jutcfuFEb This episode features a call in from Safer of Safer Fantasy Crafting. In that response, he mentions a session of immersive play which was recorded and is available to listen to. That episode and more of Safer's content can be found here: https://podcasters.spotify.com/pod/show/sfc-saferfantasycrafting/episodes/Minis--Make-Believe---A-5e-Lets-pretend-live-play-err6d6/a-a4rln9n This episode continues ongoing discussions on theory and technique for roleplaying games. It has a series of calls from Jason of the Nerds RPG Variety Cast to connect us despite the month-long gap introduced by RPGaDAY and other commitments (such as tight editing and writing deadlines for RPG stuff) all the way back through the last few episodes of this season: Sandboxes, Layers of Play (Featuring Che Webster), and a practical example of applying these ideas to our play. This episode extends the conversation more fully into immersion as a topic for discussion and exploration. CONTACT ME: [1] Send a voice message to CastingShadowsPodcast (speakpipe.com) [2] Find me on Discord, Twitter, Facebook, and YouTube @Runeslinger [3] Ubiquity Roleplaying System Discord https://discord.gg/SDxH9xQDfD --- Send in a voice message: https://podcasters.spotify.com/pod/show/runeslinger/message

In software, a sandbox is an isolated environment that limits the resources that a particular application can access. Sandboxes are used to protect the security and privacy of the user. All Web apps and much consumer software running on modern operating systems like iOS, Android, macOS, and Windows runs in a sandbox. We also use our general definition of sandbox to discuss their use in software development. A sandboxed, development version of a software product doesn't affect the end users of the production version. Likewise, a sandboxed API doesn't allow a developer to accidentally complete a real-world transaction. Note that we combine the sometimes more specific use of the term sandbox in computer security and sandbox environment in software development to form our own more general definition in this episode. Show Notes Episode 30: Cybersecurity with Duane Dunston Follow us on X @KopecExplains. Theme “Place on Fire” Copyright 2019 Creo, CC BY 4.0 Find out more at http://kopec.liveRead transcript

This week we talk about: iOS 17, iPadOS 17, and macOS Sonoma PALOOZA Canvas Now Supports Sandboxes Zoho Analytics September'23 Updates Our Implementation, Read, Code Share, and Tip of the Week Read the show notes: https://zenatta.com/episode-269/  

This episode continues ongoing discussions on theory and technique for roleplaying games. It has a series of calls from Jason of the Nerds RPG Variety Cast to connect us despite the month-long gap introduced by RPGaDAY and other commitments (such as tight editing and writing deadlines for RPG stuff) all the way back through the last few episodes of this season: Sandboxes, Layers of Play (Featuring Che Webster), and a practical example of applying these ideas to our play. This episode extends the conversation more fully into immersion as a topic for discussion and exploration. CONTACT ME: [1] Send a voice message to CastingShadowsPodcast (speakpipe.com) [2] Find me on Discord, Twitter, Facebook, and YouTube @Runeslinger [3] Ubiquity Roleplaying System Discord https://discord.gg/SDxH9xQDfD Thank you to Jason for the calls! Visit Umbramancer's YouTube channel for more application of his D&D example of resolving conflicting approaches to the game. https://youtube.com/@umbramancer5466?si=KxpXYgOL4_M15Wrf --- Send in a voice message: https://podcasters.spotify.com/pod/show/runeslinger/message

The term “sandbox” is often used to describe a world filled with opportunities and bereft of direction. Many storytellers want to offer this to their players but fall into the traps the style presents. This week Sara & Rob examine the obstacles and opportunities presented by Sandbox worlds. Listen to us live, every Wednesday night at 7pm EST, at http://www.mixlr.com/storyteller-conclave. Listen to us on your favorite device! Or Amazon Audible Find us on Twitter (@st_conclave) – Instagram (st_conclave) Support the show by joining our Patreon : https://www.patreon.com/StorytellerConclave Please join us on Discord, to submit questions for the show, chat with Rob, Sara, and other Storytellers, and read over the detailed show-notes for more information and links to stuff we may not have been able to detail during the show! Discord : https://t.co/7H8p1lGYqG Or find our older episodes at Https://Storytellerconclave.com  

Joe embarks on a journey to design a space-based sandbox campaign. He shares his creative process, brainstorming ideas, and navigating through the complexities of a universe filled with parallel earths and interdimensional exploration. He debates between the allure of sleeper ships and the enigma of societal collapse with a dash ghost worlds. This episode delves into the magic of campaign development, blending realism and fun in an imaginative space opera setting. So suit up for cosmic adventure in "Sandboxes in Spaaaace!" Please send feedback using any of these methods: Join the P.L.A.Y. web forum: http://www.dekahedron.com/boards https://sayhi.chat/dekahedron or http://podcasters.spotify.com/pod/show/jpgill/message or email feedback@dekahedron.com or call/text 562-RPG-CAST (562-774-2278). Joe also has an RPG blog: https://vagabondgm.blogspot.com/ Cover art logo by DesignKat: https://thedesignkat.com/ Music by Kevin MacLeod: https://incompetech.com/

Blame it on the rain. Yeah. Yeah. You can interact on these and other gaming topics by sending a voice message via SpeakPipe or sending me a recording via e-mail or Discord. Contact me on Discord You can find me on Discord at Runeslinger#7592 until that platform changes how names work. Contact me by e-mail at runescastshadows at gmail dot com CONTACT ME VIA SPEAKPIPE: https://www.speakpipe.com/CastingShadowsPodcast Guests Appearing in this episode were Jason Connerly of the Nerds RPG Variety Cast, and Joe Richter of Hindsightless. Reference was made to the roleplay rescue podcast and the random screed podcast. For more on my corollary to Chekhov"s Gun otherwise known as Grimaud's Crowbar please follow this link to the Casting Shadows blog: https://castingshadowsblog.com/2018/02/11/grimauds-crowbar/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/runeslinger/message

In this episode Joe answers these calls: 00:00 Opening Theme 00:18 Jason says sandboxes are traditional and he misses Elite 08:54 Evil Jeff loved the Sandboxes episode 10:49 Jason likes the idea of a web forum 12:30 Evil Jeff prefers a BBS 19:56 Jason says I should try Starships & Spacemen Retro Games hardware Commdore/Amiga emulators: https://retrogames.biz/products/ VICE: The Versatile Commodore Emulator: https://vice-emu.sourceforge.io/ UAE: Amiga Emulator: https://amiga.technology/uae/ OOLITE: Elite clone: https://oolite.space/ P.L.A.Y. Web Forum: http://www.dekahedron.com/boards Jason is the host of The Nerds RPG Variety Cast: https://nerdsrpgvarietycast.carrd.co/ Evil Jeff is the host of the Minions & Musings podcast: https://podcasters.spotify.com/pod/show/eviljeff/ Please send you feedback using any of these methods: sayhi.chat/dekahedron or podcasters.spotify.com/pod/show/jpgill/message or email feedback@dekahedron.com or call/text 562-RPG-CAST (562-774-2278). Joe also has an RPG blog. Cover art logo by DesignKat. Music by Kevin MacLeod.

Ed leads the show with an RPG Focused Main Topic and the cast go through their usual tangents and side topics. Here is a link to Matt Colville's YouTube video talking on the subject that Kris referenced, its a fun watch. https://youtu.be/EkXMxiAGUWg The Check out the website: https://dicehate.com Make sure you head over to the DiceHate Discord to join our growing community: https://discord.gg/SYZqBwG You can support the channel on Patreon: https://www.patreon.com/DiceHate Check us out on Social Media: Facebook:https://www.facebook.com/DiceHate/ You can follow Kris on Instagram @DiceHateKris

Como construir uma inteligência artificial mais segura e responsável no setor público? A solução parece mesmo vir da colaboração multissetorial. Desde de julho de 2022, por meio da parceria entre o Consulado da Alemanha no Rio de Janeiro, a Defensoria Pública Rio de Janeiro (DPRJ), as diversas organizações da sociedade civil e o ITS foi possível constituir um ambiente seguro para a criação de uma inteligência artificial (IA) mais inclusiva. Utilizando dados da justiça, desenvolvemos um projeto piloto para incrementar o trabalho da Defensoria para acesso à saúde que se baseou numa metodologia de Sandbox Operacional de IA. Para tanto, a visão se iniciou com a formação de um comitê multissetorial que contemplou diferentes pontos de vista para construir uma ferramenta de inteligência artificial que contemplasse diretrizes e princípios éticos. O resultado foi um toolkit que visa servir como diretriz para o desenvolvimento de outras ferramentas de inteligência artificial e possa ser utilizado não só por outras instituições, como também por todo o ecossistema de justiça. Na Varanda ITS #129, apresentamos as reflexões e as lições aprendidas que podem nortear a construção de uma IA ética e responsável para o ecossistema de justiça brasileiro. Para a abertura do evento recebemos Virginia Gavilanes, assessora de imprensa do Consulado Geral da Alemanha no Rio de Janeiro, e para o debate Paloma Lamego, defensora pública no estado do Rio de Janeiro, e Cláudia Osório, professora, pesquisadora titular no Departamento de Política de Medicamentos e Assistência Farmacêutica-NAF, da Escola Nacional de Saúde Pública Sérgio Arouca, com a mediação de Tainá Aguiar Junquilho e Pedro Braga, pesquisadores da área de GovTech do ITS.

Clapper App, Lemon 8, Tik Tok Ban Fiasco, Congress, Business, Legal Sandboxes, Unauthorized Practice of Law (UPL), Access to Justice, Civil Rights, Congress.... https://links.divorcingadults.com/ ⚠️ DISCLAIMER: Information included in ALL social media posts, podcasts posts and descriptions are for informational, entertainment and/or educational purposes only. This does NOT establish a clinical or professional relationship of any kind with anyone. Please consult with a primary care provider and/or licensed behavioral health clinician in your area for personalized assistance with your unique situation. This podcast is NOT intended as professional or legal advice. Be sure to seek the services of a professional if you are in need of them. If you leave a message for the podcast, this too may become public for EVERYONE to hear your comment(s) and/or question(s). Thank you.

Outlook can leak NTLM hashes, potential RCE in a chipset for Wi-Fi calling in phones (and autos!?), the design of OpenSSH's sandboxes, more on the direction of OWASP, celebrating 25 years of Curl.   Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw233

Outlook can leak NTLM hashes, potential RCE in a chipset for Wi-Fi calling in phones (and autos!?), the design of OpenSSH's sandboxes, more on the direction of OWASP, celebrating 25 years of Curl.   Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw233

Edmonton's administration drops a bombshell: apparently the city's relationship with the province is strained. Plus we dig into sandboxes, the screen industry, and buses down the middle of Whyte Ave.Here are the relevant links for this episode:Bare-chested swimmingNo top, no problem: All patrons allowed to be bare-chested at City of Edmonton poolsSohi and SmithEdmonton mayor to have first meeting with Danielle Smith, five months after premier sworn inJordan PetersonControversial author Jordan B. Peterson is coming to Rogers PlaceRisk management Report suggests state of intergovernmental relations poses risk to City of Edmonton Lauren Boothby's thread Energy audits Edmonton homeowners invited to apply for net-zero retrofit program Towards Net Zero Renovations | Change for Climate Sandbox program City seeks input on sandbox program for ice control 2017: Edmonton community sandboxes fast-tracked to next week Old Strathcona Public Realm Strategy Old Strathcona Public Realm Strategy (OSPRS) City of Edmonton plans to widen sidewalks, add dedicated bus lane along Whyte Avenue OSPRS StoryMap Screen industries ESIO seeks impact instead of returns from rejigged investment fund Arts Roundup: Feb. 16, 2023 Speaking Municipally is a proud member of the Alberta Podcast Network: locally grown, community supported.This week we talked about The Well Endowed Podcast from the Edmonton Community Foundation, which explores the impact of passionate people who are working to make Edmonton a strong, vibrant city to live in. We also highlighted Park Power, your friendly, local utilities provider in Alberta. Offering Internet, Electricity, and Natural Gas with low rates, awesome service, and profit-sharing with local charities.Speaking Municipally is produced by Taproot Edmonton, a source of curiosity-driven original stories, curated newsletters on various topics, and locally focused podcasts, all in the service of informing Edmontonians about what is going on in their community. Sign up to get The Pulse, our weekday news briefing. It's free! ★ Support this podcast ★

This month, our heroes talk about Star Ocean: The Last Hope, Tuesday Morning, sandbox games (in general), Fox's Peter Pan and the Pirates, and The Terror of Hemasaurus.   50% of those games are good, you gotta think.   Find us on all of your favorite podcast services, and join our social media channels through the links at GeekCavePodcast.com!   Brought to you by Shirtasaurus and GameFly.

Today on the Salesforce Admins Podcast, we talk to Rohit Mehta, Senior Product Manager for Sandboxes and Scratch Orgs at Salesforce. Join us as we chat about how to think about sandboxes and scratch orgs and some tips for how to use them better. You should subscribe for the full episode, but here are a […] The post Sandboxes and Scratch Orgs with Rohit Mehta appeared first on Salesforce Admins.

In episode 134 of The Cavalry, Johnny needs backup on slime, paint and sandboxes being the worst toys for kids. Andrew needs backup on everyone being a geography expert when you tell them your layover. Enjoy! 

Tabletopped is going off the rails this week to talk about Sandboxes and open worlds. How do you run a game as a sandbox? What are ways to make the world feel lived in? Why does Nick like to slurp his lore? Listen and find out in today's episode! Say hi to us at tabletoppedpod.com or @tabletopped on twitter! Also, check us out on Patreon! Sponsor: Daily Dose of Yarn! You gotta check out these hats on etsy and instagram! Theme music: Unexplored Moon by Miguel Johnson FIND US ONLINE - Patreon: https://www.patreon.com/tabletopped - Twitter: https://twitter.com/Tabletopped - Website: https://tabletoppedpod.com/ - Discord: https://discord.com/invite/9wnu5rgr7n

In today's episode of How We Got There (which was recorded earlier this year), I talk with Ari Treuhaft, who is the COO of Litify.. Apologies for the audio quality but the conversation was too good not to share! He spent time at a law firm building an operating system for law firms on Salesforce and from there, Litify was born. They offer vertical SaaS for legal organizations, who think of themselves as unique and specialized organizations who need to build custom solutions. Litify has raised a series A pre-pandemic and now has over 200 employees and over 300 customers. Litify is both an ISV and an OEM partner for Salesforce. Ari shares why being both makes sense for their business to align with buyers preferences in order to reduce go-to-market friction. They've found success in co-selling with Salesforce with OEM customers where the Salesforce sales teams was subsequently able to sell additional products, like Sandboxes and Marketing Cloud. And when a customer already has a footprint with Salesforce, they go the ISVforce route. He talks about how he thinks about vertical SaaS and what they've learned from the likes of nCino and Veeva. One of the key learnings was around how to approach services internally and through SIs. Ari shares how they chose partners to work with in the SI realm and how you have to cut through a lot of noise in order to find the great ones. Align around values and mutual skin in the game….get into the single digits with target partners if you're just getting started to go deep vs. going wide with efforts around enablement and training for your partners. As an ISV/OEM, you need to invest in these relationships. Ari takes pride in providing a solution on the Salesforce platform in an underserved industry. On the flip side, he acknowledges that building out an internal Services team resulted in successful sales but a backlog of customers who weren't getting live. They actually called up customers and shared candidly that they had to wait for kickoff for X months while they invested in their SI partner program training. From a lead source perspective, for OEM leads they come from internal BD efforts and their SI partners. On the ISVforce side of the world, it is mainly the Salesforce AE/SE/RVP referrals. Ari shares some details about their SI partner referral program and how they share revenue with them in addition to having them perform the services. Across the board, focus on things that are working and do more of them. As you work to figure out what gtm channels are right for you, make sure you only run as many experiments as you can successfully measure. Once you start to see success in any of the experiments in the numbers, do more of it and maybe even drop the other active experiments. Here's a closer look at the episode: 0:16 How Ari found his way into the ecosystem? 3:36 Litify is both an ISVForce and an OEM? Why did they decide to go both paths? 6:20 As an OEM what have you learned from some of the other large OEMs out there? 8:02 What have been some of your learnings to share around that SI program? 10:24 You just need to find a handful that are really high quality! 13:55 What are good go to market examples? 12:21 What's been the biggest mistake along the way? 15:24 What's been your top producing leads source for Litify? 16:16 Incentives program for referring business. 17:42 Experience with Tiger Capital 20:34 Program's that provide Insight on tracking success?

In this episode of The Stream Life Podcast, Bradley talks with Aren Gates about the Cribl Sandboxes, Cribl CCOE, and the Fundamentals Lite courses. Links Cribl Sandbox Cribl Stream Fundamentals Lite: Overview Cribl Stream Fundamentals Lite: S3 Archive Cribl Stream Fundamentals Lite: The Dispensary Cribl Stream Fundamentals Lite: Custom Packs Cribl Stream Fundamentals Lite: Switching Vendors Cribl Stream Fundamentals Lite: Replay Cribl University Cribl Community If you want to get every episode of the Stream Life podcast automatically, you can subscribe on Apple Podcasts, Spotify, Pocket Casts, Overcast, RSS, or wherever you get your podcasts.

A couple of years ago, Utah launched a "regulatory sandbox" to reduce unnecessary regulations. James Czerniawski from Americans for Prosperity talks with Boyd about how the program has helped veterans and others in need. See omnystudio.com/listener for privacy information.

How do you solve the biggest, hardest problems in the world? Usually, we just don't. They persist. Today, though, we live in an age that's putting powerful new technologies into our hands, opening up ways to make seemingly impossible solutions suddenly, theoretically, possible – if we can put them to use. These are the challenges that get taken up by the Bill and Melinda Gates Foundation. In financial services, the foundation's goal is to achieve full financial inclusion by bringing all the excluded people in the world's emerging markets into the formal financial system… thereby unlocking massive gains in human wellbeing, everywhere. My guest today is a leader in that work. He is Kosta Peric, the foundation's Deputy Director of Financial Services for the Poor, and in this episode, he talks to us about the art of how to do this uniquely difficult type of problem solving.

About ClintClint is the CEO and a co-founder at Cribl, a company focused on making observability viable for any organization, giving customers visibility and control over their data while maximizing value from existing tools.Prior to co-founding Cribl, Clint spent two decades leading product management and IT operations at technology and software companies, including Splunk and Cricket Communications. As a former practitioner, he has deep expertise in network issues, database administration, and security operations.Links: Cribl: https://cribl.io/ Cribl.io: https://cribl.io Docs.cribl.io: https://docs.cribl.io Sandbox.cribl.io: https://sandbox.cribl.io TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Today's episode is brought to you in part by our friends at MinIO the high-performance Kubernetes native object store that's built for the multi-cloud, creating a consistent data storage layer for your public cloud instances, your private cloud instances, and even your edge instances, depending upon what the heck you're defining those as, which depends probably on where you work. It's getting that unified is one of the greatest challenges facing developers and architects today. It requires S3 compatibility, enterprise-grade security and resiliency, the speed to run any workload, and the footprint to run anywhere, and that's exactly what MinIO offers. With superb read speeds in excess of 360 gigs and 100 megabyte binary that doesn't eat all the data you've gotten on the system, it's exactly what you've been looking for. Check it out today at min.io/download, and see for yourself. That's min.io/download, and be sure to tell them that I sent you.Corey: This episode is sponsored in part by our friends at Sysdig. Sysdig is the solution for securing DevOps. They have a blog post that went up recently about how an insecure AWS Lambda function could be used as a pivot point to get access into your environment. They've also gone deep in-depth with a bunch of other approaches to how DevOps and security are inextricably linked. To learn more, visit sysdig.com and tell them I sent you. That's S-Y-S-D-I-G dot com. My thanks to them for their continued support of this ridiculous nonsense.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. I have a repeat guest joining me on this promoted episode. Clint Sharp is the CEO and co-founder of Cribl. Clint, thanks for joining me.Clint: Hey, Corey, nice to be back.Corey: I was super excited when you gave me the premise for this recording because you said you had some news to talk about, and I was really excited that oh, great, they're finally going to buy a vowel so that people look at their name and understand how to pronounce it. And no, that's nowhere near forward-looking enough. It's instead it's some, I guess, I don't know, some product announcement or something. But you know, hope springs eternal. What have you got for us today?Clint: Well, one of the reasons I love talking to your audiences because product announcements actually matter to this audience. It's super interesting, as you get into starting a company, you're such, like, a product person, you're like, “Oh, I have this new set of things that's really going to make your life better.” And then you go out to, like, the general media, and you're like, “Hey, I have this product.” And they're like, “I don't care. What product? Do you have a funding announcement? Do you have something big in the market that—you know, do you have a new executive? Do you”—it's like, “No, but, like, these features, like these things, that we—the way we make our lives better for our customers. Isn't that interesting?” “No.”Corey: Real depressing once you—“Do you have a security breach to announce?” It's, “No. God no. Why would I wind up being that excited about it?” “Well, I don't know. I'd be that excited about it.” And yeah, the stuff that mainstream media wants to write about in the context of tech companies is exactly the sort of thing that tech companies absolutely do not want to be written about for. But fortunately, that is neither here nor there.Clint: Yeah, they want the thing that gets the clicks.Corey: Exactly. You built a product that absolutely resonates in its target market and outside of that market. It's one of those, what is that thing, again? If you could give us a light refresher on what Cribl is and does, you'll probably do a better job of it than I will. We hope.Clint: We'd love to. Yeah, so we are an observability company, fundamentally. I think one of the interesting things to talk about when it comes to observability is that observability and security are merging. And so I like to say observability and include security people. If you're a security person, and you don't feel included by the word observability, sorry.We also include you; you're under our tent here. So, we sell to technology professionals, we help make their lives better. And we do that today through a flagship product called LogStream—which is part of this announcement, we're actually renaming to Stream. In some ways, we're dropping logs—and we are a pipeline company. So, we help you take all of your existing agents, all of your existing data that's moving, and we help you process that data in the stream to control costs and to send it multiple places.And it sounds kind of silly, but one of the biggest problems that we end up solving for a lot of our enterprises is, “Hey, I've got, like, this old Syslog feed coming off of my firewalls”—like, you remember those things, right? Palo Alto firewalls, ASA firewalls—“I actually get that thing to multiple places because, hey, I want to get that data into another security solution. I want to get that data into a data lake. How do I do that?” Well, in today's world, that actually turns out is sort of a neglected set of features, like, the vendors who provide you logging solutions, being able to reshape that data, filter that data, control costs, wasn't necessarily at the top of their priority list.It wasn't nefarious. It wasn't like people are like, “Oh, I'm going to make sure that they can't process this data before it comes into my solution.” It's more just, like, “I'll get around to it eventually.” And the eventually never actually comes. And so our streaming product helps people do that today.And the big announcement that we're making this week is that we're extending that same processing technology down to the endpoint with a new product we're calling Cribl Edge. And so we're taking our existing best-in-class management technology, and we're turning it into an agent. And that seems kind of interesting because… I think everybody sort of assumed that the agent is dead. Okay, well, we've been building agents for a decade or two decades. Isn't everything exactly the same as it was before?But we really saw kind of a dearth of innovation in that area in terms of being able to manage your agents, being able to understand what data is available to be collected, being able to auto-discover the data that needs to be able to be collected, turning those agents into interactive troubleshooting experiences so that we can, kind of, replicate the ability to zoom into a remote endpoint and replicate that Linux command line experience that we're not supposed to be getting anymore because we're not supposed to SSH into boxes anymore. Well, how do I replicate that? How do I see how much disk is on this given endpoint if I can't SSH into that box? And so Cribl Edge is a rethink about making this rich, interactive experience on top of all of these agents that become this really massive distributed system that we can process data all the way out at where the data is being emitted.And so that means that now we don't nec—if you want to process that data in the stream, okay, great, but if you want to process that data at its origination point, we can actually provide you cheaper cost because now you're using a lot of that capacity that's sitting out there on your endpoints that isn't really being used today anyway—the average utilization of a Kubernetes cluster is like 30%—Corey: It's that high. I'm sort of surprised.Clint: Right? I know. So, Datadog puts out the survey every year, which I think is really interesting, and that's a number that always surprised me is just that people are already paying for this capacity, right? It's sitting there, it's on their AWS bill already, and with that average utilization, a lot of the stuff that we're doing in other clusters, or while we're moving that data can actually just be done right there where the data is being emitted. And also, if we're doing things like filtering, we can lower egress charges, there's lots of really, really good goodness that we can do by pushing that processing further closer to its origination point.Corey: You know, the timing of this episode is somewhat apt because as of the time that we're recording this, I spent most of yesterday troubleshooting and fixing my home wireless network, which is a whole Ubiquity-managed thing. And the controller was one of their all-in-one box things that kept more or less power cycling for no apparent reason. How do I figure out why it's doing that? Well, I'm used to, these days, doing everything in a cloud environment where you can instrument things pretty easily, where things start and where things stop is well understood. Finally, I just gave up and used a controller that's sitting on an EC2 instance somewhere, and now great, now I can get useful telemetry out of it because now it's stuff I know how to deal with.It also, turns out that surprise, my EC2 instance is not magically restarting itself due to heat issues. What a concept. So, I have a newfound appreciation for the fact that oh, yeah, not everything lives in a cloud provider's regions. Who knew? This is a revelation that I think is going to be somewhat surprising for folks who've been building startups and believe that anything that's older than 18 months doesn't exist.But there's a lot of data centers out there, there are a lot of agents living all kinds of different places. And workloads continue to surprise me even now, just looking at my own client base. It's a very diverse world when we're talking about whether things are on-prem or whether they're in cloud environments.Clint: Well, also, there's a lot of agents on every endpoint period, just due to the fact that security guys want an agent, the observability guys want an agent, the logging people want an agent. And then suddenly, I'm, you know, I'm looking at every endpoint—cloud, on-prem, whatever—and there's 8, 10 agents sitting there. And so I think a lot of the opportunity that we saw was, we can unify the data collection for metric type of data. So, we have some really cool defaults. [unintelligible 00:07:30] this is one of the things where I think people don't focus much on, kind of, the end-user experience. Like, let's have reasonable defaults.Let's have the thing turn on, and actually, most people's needs are set without tweaking any knobs or buttons, and no diving into YAML files and looking at documentation and trying to figure out exactly the way I need to configure this thing. Let's collect metric data, let's collect log data, let's do it all from one central place with one agent that can send that data to multiple places. And I can send it to Grafana Cloud, if I want to; I can send it to Logz.io, I can send it to Splunk, I can send it to Elasticsearch, I can send it to AWS's new Elasticsearch-y the thing that we don't know what they're going to call it yet after the lawsuit. Any of those can be done right from the endpoint from, like, a rich graphical experience where I think that there's a really a desire now for people to kind of jump into these configuration files where really a lot of these users, this is a part-time job, and so hey, if I need to go set up data collection, do I want to learn about this detailed YAML file configuration that I'm only going to do once or twice, or should I be able to do it in an easy, intuitive way, where I can just sit down in front of the product, get my job done and move on without having to go learn some sort of new configuration language?Corey: Once upon a time, I saw an early circa 2012, 2013 talk from Jordan Sissel, who is the creator of Logstash, and he talked a lot about how challenging it was to wind up parsing all of the variety of log files out there. Even something is relatively straightforward—wink, wink, nudge, nudge—as timestamps was an absolute monstrosity. And a lot of people have been talking in recent years about OpenTelemetry being the lingua franca that everything speaks so that is the wave of the future, but I've got a level with you, looking around, it feels like these people are living in a very different reality than the one that I appear to have stumbled into because the conversations people are having about how great it is sound amazing, but nothing that I'm looking at—granted from a very particular point of view—seems to be embracing it or supporting it. Is that just because I'm hanging out in the wrong places, or is it still a great idea whose time has yet to come, or something else?Clint: So, I think a couple things. One is every conversation I have about OpenTelemetry is always, “Will be.” It's always in the future. And there's certainly a lot of interest. We see this from customer after customer, they're very interested in OpenTelemetry and what the OpenTelemetry strategy is, but as an example OpenTelemetry logging is not yet finalized specification; they believe that they're still six months to a year out. It seems to be perpetually six months to a year out there.They are finalized for metrics and they are finalized for tracing. Where we see OpenTelemetry tends to be with companies like Honeycomb, companies like Datadog with their tracing product, or Lightstep. So, for tracing, we see OpenTelemetry adoption. But tracing adoption is also not that high either, relative to just general metrics of logs.Corey: Yeah, the tracing implementations that I've seen, for example, Epsagon did this super well, where it would take a look at your Lambdas Function built into an application, and ah, we're going to go ahead and instrument this automatically using layers or extensions for you. And life was good because suddenly you got very detailed breakdowns of exactly how data was flowing in the course of a transaction through 15 Lambdas Function. Great. With everything else I've seen, it's, “Oh, you have to instrument all these things by hand.” Let me shortcut that for you: That means no one's going to do it. They never are.It's anytime you have to do that undifferentiated heavy lifting of making sure that you put the finicky code just so into your application's logic, it's a shorthand for it's only going to happen when you have no other choice. And I think that trying to surface that burden to the developer, instead of building it into the platform so they don't have to think about it is inherently the wrong move.Clint: I think there's a strong belief in Silicon Valley that—similar to, like, Hollywood—that the biggest export Silicon Valley is going to have is culture. And so that's going to be this culture of, like, developer supporting their stuff in production. I'm telling you, I sell to banks and governments and telcos and I don't see that culture prevailing. I see a application developed by Accenture that's operated by Tata. That's a lot of inertia to overcome and a lot of regulation to overcome as well, and so, like, we can say that, hey, separation of duties isn't really a thing and developers should be able to support all their own stuff in production.I don't see that happening. It may happen. It'll certainly happen more than zero. And tracing is predicated on the whole idea that the developer is scratching their own itch. Like that I am in production and troubleshooting this and so I need this high-fidelity trace-level information to understand what's going on with this one user's experience, but that doesn't tend to be in the enterprise, how things are actually troubleshot.And so I think that more than anything is the headwind that slowing down distributed tracing adoption. It's because you're putting the onus on solving the problem on a developer who never ends up using the distributed tracing solution to begin with because there's another operations department over there that's actually operating the thing on a day-to-day basis.Corey: Having come from one of those operations departments myself, the way that I would always fix things was—you know, in the era that I was operating it made sense—you'd SSH into a box and kick the tires, poke around, see what's going on, look at the logs locally, look at the behaviors, the way you'd expect it to these days, that is considered a screamingly bad anti-pattern and it's something that companies try their damnedest to avoid doing at all. When did that change? And what is the replacement for that? Because every time I asked people for the sorts of data that I would get from that sort of exploration when they're trying to track something down, I'm more or less met with blank stares.Clint: Yeah. Well, I think that's a huge hole and one of the things that we're actually trying to do with our new product. And I think the… how do I replicate that Linux command line experience? So, for example, something as simple, like, we'd like to think that these nodes are all ephemeral, but there's still a disk, whether it's virtual or not; that thing sometimes fills up, so how do I even do the simple thing like df -kh and see how much disk is there if I don't already have all the metrics collected that I needed, or I need to go dive deep into an application and understand what that application is doing or seeing, what files it's opening, or what log files it's writing even?Let's give some good examples. Like, how do I even know what files an application is running? Actually, all that information is all there; we can go discover that. And so some of the things that we're doing with Edge is trying to make this rich, interactive experience where you can actually teleport into the end node and see all the processes that are running and get a view that looks like top and be able to see how much disk is there and how much disk is being consumed. And really kind of replicating that whole troubleshooting experience that we used to get from the Linux command line, but now instead, it's a tightly controlled experience where you're not actually getting an arbitrary shell, where I could do anything that could give me root level access, or exploit holes in various pieces of software, but really trying to replicate getting you that high fidelity information because you don't need any of that information until you need it.And I think that's part of the problem that's hard with shipping all this data to some centralized platform and getting every metric and every log and moving all that data is the data is worthless until it isn't worthless anymore. And so why do we even move it? Why don't we provide a better experience for getting at the data at the time that we need to be able to get at the data. Or the other thing that we get to change fundamentally is if we have the edge available to us, we have way more capacity. I can store a lot of information in a few kilobytes of RAM on every node, but if I bring thousands of nodes into one central place, now I need a massive amount of RAM and a massive amount of cardinality when really what I need is the ability to actually go interrogate what's running out there.Corey: The thing that frustrates me the most is the way that I go back and find my old debug statements, which is, you know, I print out whatever it is that the current status is and so I can figure out where something's breaking.Clint: [Got here 00:15:08].Corey: Yeah. I do it within AWS Lambda functions, and that's great. And I go back and I remove them later when I notice how expensive CloudWatch logs are getting because at 50 cents per gigabyte of ingest on those things, and you have that Lambda function firing off a fair bit, that starts to add up when you've been excessively wordy with your print statements. It sounds ridiculous, but okay, then you're storing it somewhere. If I want to take that log data and have something else consume it, that's nine cents a gigabyte to get it out of AWS and then you're going to want to move it again from wherever it is over there—potentially to a third system, because why not?—and it seems like the entire purpose of this log data is to sit there and be moved around because every time it gets moved, it winds up somehow costing me yet more money. Why do we do this?Clint: I mean, it's a great question because one of the things that I think we decided 15 years ago was that the reason to move this data was because that data may go poof. So, it was on a, you know, back in my day, it was an HP DL360 1U rackmount server that I threw in there, and it had raid zero discs and so if that thing went dead, well, we didn't care, we'd replace it with another one. But if we wanted to find out why it went dead, we wanted to make sure that the data had moved before the thing went dead. But now that DL360 is a VM.Corey: Yeah, or a container that is going to be gone in 20 minutes. So yeah, you don't want to store it locally on that container. But discs are also a fair bit more durable than they once were, as well. And S3 talks about its 11 nines of durability. That's great and all but most of my application logs don't need that. So, I'm still trying to figure out where we went wrong.Clint: Well, I think it was right for the time. And I think now that we have durable storage at the edge where that blob storage has already replicated three times and we can reattach—if that box crashes, we can reattach new compute to that same block storage. Actually, AWS has some cool features now, you can actually attach multiple VMs to the same block store. So, we could actually even have logs being written by one VM, but processed by another VM. And so there are new primitives available to us in the cloud, which we should be going back and re-questioning all of the things that we did ten to 15 years ago and all the practices that we had because they may not be relevant anymore, but we just never stopped to ask why.Corey: Yeah, multi-attach was rolled out with their IO2 volumes, which are spendy but great. And they do warn you that you need a file system that actively supports that and applications that are aware of it. But cool, they have specific use cases that they're clearly imagining this for. But ten years ago, we were building things out, and, “Ooh, EBS, how do I wind up attaching that from multiple instances?” The answer was, “Ohh, don't do that.”And that shaped all of our perspectives on these things. Now suddenly, you can. Is that, “Ohh don't do that,” gut visceral reaction still valid? People don't tend to go back and re-examine the why behind certain best practices until long after those best practices are now actively harmful.Clint: And that's really what we're trying to do is to say, hey, should we move log data anymore if it's at a durable place at the edge? Should we move metric data at all? Like, hey, we have these big TSDBs that have huge cardinality challenges, but if I just had all that information sitting in RAM at the original endpoint, I can store a lot of information and barely even touch the free RAM that's already sitting out there at that endpoint. So, how to get out that data? Like, how to make that a rich user experience so that we can query it?We have to build some software to do this, but we can start to question from first principles, hey, things are different now. Maybe we can actually revisit a lot of these architectural assumptions, drive cost down, give more capability than we actually had before for fundamentally cheaper. And that's kind of what Cribl does is we're looking at software is to say, “Man, like, let's question everything and let's go back to first principles.” “Why do we want this information?” “Well, I need to troubleshoot stuff.” “Okay, well, if I need to troubleshoot stuff, well, how do I do that?” “Well, today we move it, but do we have to? Do we have to move that data?” “No, we could probably give you an experience where you can dive right into that endpoint and get really, really high fidelity data without having to pay to move that and store it forever.” Because also, like, telemetry information, it's basically worthless after 24 hours, like, if I'm moving that and paying to store it, then now I'm paying for something I'm never going to read back.Corey: This episode is sponsored in part by our friends at Vultr. Spelled V-U-L-T-R because they're all about helping save money, including on things like, you know, vowels. So, what they do is they are a cloud provider that provides surprisingly high performance cloud compute at a price that—while sure they claim its better than AWS pricing—and when they say that they mean it is less money. Sure, I don't dispute that but what I find interesting is that it's predictable. They tell you in advance on a monthly basis what it's going to going to cost. They have a bunch of advanced networking features. They have nineteen global locations and scale things elastically. Not to be confused with openly, because apparently elastic and open can mean the same thing sometimes. They have had over a million users. Deployments take less that sixty seconds across twelve pre-selected operating systems. Or, if you're one of those nutters like me, you can bring your own ISO and install basically any operating system you want. Starting with pricing as low as $2.50 a month for Vultr cloud compute they have plans for developers and businesses of all sizes, except maybe Amazon, who stubbornly insists on having something to scale all on their own. Try Vultr today for free by visiting: vultr.com/screaming, and you'll receive a $100 in credit. Thats V-U-L-T-R.com slash screaming.Corey: And worse, you wind up figuring out, okay, I'm going to store all that data going back to 2012, and it's petabytes upon petabytes. And great, how do I actually search for a thing? Well, I have to use some other expensive thing of compute that's going to start diving through all of that because the way I set up my partitioning, it isn't aligned with anything looking at, like, recency or based upon time period, so right every time I want to look at what happened 20 minutes ago, I'm looking at what happened 20 years ago. And that just gets incredibly expensive, not just to maintain but to query and the rest. Now, to be clear, yes, this is an anti-pattern. It isn't how things should be set up. But how should they be set up? And it is the collective the answer to that right now actually what's best, or is it still harkening back to old patterns that no longer apply?Clint: Well, the future is here, it's just unevenly distributed. So there's, you know, I think an important point about us or how we think about building software is with this customer is first attitude and fundamentally bringing them choice. Because the reality is that doing things the old way may be the right decision for you. You may have compliance requirements to say—there's a lot of financial services institutions, for example, like, they have to keep every byte of data written on any endpoint for seven years. And so we have to accommodate their requirements.Like, is that the right requirement? Well, I don't know. The regulator wrote it that way, so therefore, I have to do it. Whether it's the right thing or the wrong thing for the business, I have no choice. And their decisions are just as right as the person who says this data is worthless and should all just be thrown away.We really want to be able to go and say, like, hey, what decision is right? We're going to give you the option to do it this way, we're going to give you the option to do it this way. Now, the hard part—and that when it comes down to, like, marketing, it's like you want to have this really simple message, like, “This is the one true path.” And a lot of vendors are this way, “There's this new wonderful, right, true path that we are going to take you on, and follow along behind me.” But the reality is, enterprise worlds are gritty and ugly, and they're full of old technology and new technology.And they need to be able to support getting data off the mainframe the same way as they're doing a brand new containerized microservices application. In fact, that brand new containerized microservices application is probably talking to the mainframe through some API. And so all of that has to work at once.Corey: Oh, yeah. And it's all of our payment data is in our PCI environment that PCI needs to have every byte logged. Great. Why is three-quarters of your infrastructure considered the PCI environment? Maybe you can constrain that at some point and suddenly save a whole bunch of effort, time, money, and regulatory drag on this.But as you go through that journey, you need to not only have a tool that will work when you get there but a tool that will work where you are today. And a lot of companies miss that mark, too. It's, “Oh, once you modernize and become the serverless success story of the decade, then our product is going to be right for you.” “Great. We'll send you a postcard if we ever get there and then you can follow up with us.”Alternately, it's well, “Yeah, we're this is how we are today, but we have a visions of a brighter tomorrow.” You've got to be able to meet people where they are at any point of that journey. One of the things I've always respected about Cribl has been the way that you very fluidly tell both sides of that story.Clint: And it's not their fault.Corey: Yeah.Clint: Most of the people who pick a job, they pick the job because, like—look, I live in Kansas City, Missouri, and there's this data processing company that works primarily on mainframes, it's right down the road. And they gave me a job and it pays me $150,000 a year, and I got a big house and things are great. And I'm a sysadmin sitting there. I don't get to play with the new technology. Like, that customer is just as an applicable customer, we want to help them exactly the same as the new Silicon Valley hip kid who's working at you know, a venture-backed startup, they're doing everything natively in the cloud. Those are all right decisions, depending on where you happen to find yourself, and we want to support you with our products, no matter where you find yourself on the technology spectrum.Corey: Speaking of old and new, and the trends of the industry, when you first set up this recording, you mentioned, “Oh, yeah, we should make it a point to maybe talk about the acquisition,” at which point I sprayed coffee across my iMac. Thanks for that. Turns out it wasn't your acquisition we were talking about so much as it is the—at the time we record this—-the yet-to-close rumored acquisition of Splunk by Cisco.Clint: I think it's both interesting and positive for some people, and sad for others. I think Cisco is obviously a phenomenal company. They run the networking world. The fact that they've been moving into observability—they bought companies like AppDynamics, and we were talking about Epsagon before the show, they bought—ServiceNow, just bought Lightstep recently. There's a lot of acquisitions in this space.I think that when it comes to something like Splunk, Splunk is a fast-growing company by compared to Cisco. And so for them, this is something that they think that they can put into their distribution channel, and what Cisco knows how to do is to sell things like they're very good at putting things through their existing sales force and really amplifying the sales of that particular thing that they have just acquired. That being said, I think for a company that was as innovative as Splunk, I do find it a bit sad with the idea that it's going to become part of this much larger behemoth and not really probably driving the observability and security industry forward anymore because I don't think anybody really looks at Cisco as a company that's driving things—not to slam them or anything, but I don't really see them as driving the industry forward.Corey: Somewhere along the way, they got stuck and I don't know how to reconcile that because they were a phenomenally fast-paced innovative company, briefly the most valuable company in the world during the dotcom bubble. And then they just sort of stalled out somewhere and, on some level, not to talk smack about it, but it feels like the level of innovation we've seen from Splunk has curtailed over the past half-decade or so. And selling to Cisco feels almost like a tacit admission that they are effectively out of ideas. And maybe that's unfair.Clint: I mean, we can look at the track record of what's been shipped over the last five years from Splunk. And again they're a partner, their customers are great, I think they still have the best log indexing engine on the market. That was their core product and what has made them the majority of their money. But there's not been a lot new. And I think objectively we can look at that without throwing stones and say like, “Well, what net-new? You bought SignalFX. Like, good for you guys like that seems to be going well. You've launched your observability suite based off of these acquisitions.” But organic product-wise, there's not a lot coming out of the factory.Corey: I'll take it a bit further-slash-sadder, we take a look at some great companies that were acquired—OpenDNS, Duo Security, SignalFX, as you mentioned, Epsagon, ThousandEyes—and once they've gotten acquired by Cisco, they all more or less seem to be frozen in time, like they're trapped in amber, which leads us up to the natural dinosaur analogy that I'll probably make in a less formal setting. It just feels like once a company is bought by Cisco, their velocity peters out, a lot of their staff leaves, and what you see is what you get. And I don't know if that's accurate, I'm just not looking in the right places, but every time I talk to folks in the industry about this, I get a lot of knowing nods that are tied to it. So, whether or not that's true or not, that is very clearly, at least in some corners of the market, the active perception.Clint: There's a very real fact that if you look even at very large companies, innovation is driven from a core set of a handful of people. And when those people start to leave, the innovation really stops. It's those people who think about things back from first principles—like why are we doing things? What different can we do?—and they're the type of drivers that drive change.So, Frank Slootman wrote a book recently called Amp it Up that I've been reading over the last weekend, and he talks—has this article that was on LinkedIn a while back called “Drivers vs. Passengers” and he's always looking for drivers. And those drivers tend to not find themselves as happy in bigger companies and they tend to head for the exits. And so then you end up with the people who are a lot of the passenger type of people, the people who are like—they'll carry it forward, they'll continue to scale it, the business will continue to grow at whatever rate it's going to grow, but you're probably not going to see a lot of the net-new stuff. And I'll put it in comparison to a company like Datadog who I have a vast amount of respect for I think they're incredibly innovative company, and I think they continue to innovate.Still driven by the founders, the people who created the original product are still there driving the vision, driving forward innovation. And that's what tends to move the envelope is the people who have the moral authority inside of an even larger organization to say, “Get behind me. We're going in this direction. We're going to go take that hill. We're going to go make things better for our customers.” And when you start to lose those handful of really critical contributors, that's where you start to see the innovation dry up.Corey: Where do you see the acquisitions coming from? Is it just at some point people shove money at these companies that got acquired that is beyond the wildest dreams of avarice? Is it that they believe that they'll be able to execute better on their mission and they were independently? These are still smart, driven, people who have built something and I don't know that they necessarily see an acquisition as, “Well, time to give up and coast for a while and then I'll leave.” But maybe it is. I've never found myself in that situation, so I can't speak for sure.Clint: You kind of I think, have to look at the business and then whoever's running the business at that time—and I sit in the CEO chair—so you have to look at the business and say, “What do we have inside the house here?” Like, “What more can we do?” If we think that there's the next billion-dollar, multi-billion-dollar product sitting here, even just in our heads, but maybe in the factory and being worked on, then we should absolutely not sell because the value is still there and we're going to grow the company much faster as an independent entity than we would you know, inside of a larger organization. But if you're the board of directors and you're looking around and saying like, hey look, like, I don't see another billion-dollar line of bus—at this scale, right, if your Splunk scale, right? I don't see another billion-dollar line of business sitting here, we could probably go acquire it, we could try to add it in, but you know, in the case of something like a Splunk, I think part of—you know, they're looking for a new CEO right now, so now they have to go find a new leader who's going to come in, re-energize and, kind of, reboot that.But that's the options that they're considering, right? They're like, “Do I find a new CEO who's going to reinvigorate things and be able to attract the type of talent that's going to lead us to the next billion-dollar line of business that we can either build inside or we can acquire and bring in-house? Or is the right path for me just to say, ‘Okay, well, you know, somebody like Cisco's interested?'” or the other path that you may see them go down to something like Silver Lake, so Silver Lake put a billion dollars into the company last year. And so they may be looking at and say, “Okay, well, we really need to do some restructuring here and we want to do it outside the eyes of the public market. We want to be able to change pricing model, we want to be able to really do this without having to worry about the stock price's massive volatility because we're making big changes.”And so I would say there's probably two big options there considering. Like, do we sell to Cisco, do we sell to Silver Lake, or do we really take another run at this? And those are difficult decisions for the stewards of the business and I think it's a different decision if you're the steward of the business that created the business versus the steward of the business for whom this is—the I've been here for five years and I may be here for five years more. For somebody like me, a company like Cribl is literally the thing I plan to leave on this earth.Corey: Yeah. Do you have that sense of personal attachment to it? On some level, The Duckbill Group, that's exactly what I'm staring at where it's great. Someone wants to buy the Last Week in AWS media side of the house.Great. Okay. What is that really, beyond me? Because so much of it's been shaped by my personality. There's an audience, sure, but it's a skeptical audience, one that doesn't generally tend to respond well to mass market, generic advertisements, so monetizing that is not going to go super well.“All right, we're going to start doing data mining on people.” Well, that's explicitly against the terms of service people signed up for, so good luck with that. So, much starts becoming bizarre and strange when you start looking at building something with the idea of, oh, in three years, I'm going to unload this puppy and make it someone else's problem. The argument is that by building something with an eye toward selling it, you build a better-structured business, but it also means you potentially make trade-offs that are best not made. I'm not sure there's a right answer here.Clint: In my spare time, I do some investments, angel investments, and that sort of thing, and that's always a red flag for me when I meet a founder who's like, “In three to five years, I plan to sell it to these people.” If you don't have a vision for how you're fundamentally going to alter the marketplace and our perception of everything else, you're not dreaming big enough. And that to me doesn't look like a great investment. It doesn't look like the—how do you attract employees in that way? Like, “Okay, our goal is to work really hard for the next three years so that we will be attractive to this other bigger thing.” They may be thinking it on the inside as an available option, but if you think that's your default option when starting a company, I don't think you're going to end up with the outcome is truly what you're hoping for.Corey: Oh, yeah. In my case, the only acquisition story I see is some large company buying us just largely to shut me up. But—Clint: [laugh].Corey: —that turns out to be kind of expensive, so all right. I also don't think it serve any of them nearly as well as they think it would.Clint: Well, you'll just become somebody else on Twitter. [laugh].Corey: Yeah, “Time to change my name again. Here we go.” So, if people want to go and learn more about a Cribl Edge, where can they do that?Clint: Yeah, cribl.io. And then if you're more of a technical person, and you'd like to understand the specifics, docs.cribl.io. That's where I always go when I'm checking out a vendor; just skip past the main page and go straight to the docs. So, check that out.And then also, if you're wanting to play with the product, we make online available education called Sandboxes, at sandbox.cribl.io, where you can go spin up your own version of the product, walk through some interactive tutorials, and get a view on how it might work for you.Corey: Such a great pattern, at least for the way that I think about these things. You can have flashy videos, you can have great screenshots, you can have documentation that is the finest thing on this earth, but let me play with it; let me kick the tires on it, even with a sample data set. Because until I can do that, I'm not really going to understand where the product starts and where it stops. That is the right answer from where I sit. Again, I understand that everyone's different, not everyone thinks like I do—thankfully—but for me, that's the best way I've ever learned something.Clint: I love to get my hands on the product, and in fact, I'm always a little bit suspicious of any company when I go to their webpage and I can't either sign up for the product or I can't get to the documentation, and I have to talk to somebody in order to learn. That's pretty much I'm immediately going to the next person in that market to go look for somebody who will let me.Corey: [laugh]. Thank you again for taking so much time to speak with me. I appreciate it. As always, it's a pleasure.Clint: Thanks, Corey. Always enjoy talking to you.Corey: Clint Sharp, CEO and co-founder of Cribl. I'm Cloud Economist Corey Quinn, and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice along with an angry comment. And when you hit submit, be sure to follow it up with exactly how many distinct and disparate logging systems that obnoxious comment had to pass through on your end of things.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.Announcer: This has been a HumblePod production. Stay humble.

In this episode of The Stream Life, Clint Sharp - CEO and Abby Strong - SVP of Global Marketing discuss Cribl's brand new product: Cribl Edge. We're excited to get Edge and all our Stream upgrades and enhancements into customers' hands. If you're new to Cribl, or to the concept of an Observability Pipeline, try our free Sandboxes. Each includes a full version of Stream or Edge in the cloud, with preconfigured data to help you try out specific features. You can see how easy it is to take control of your logging infrastructure to improve system performance, slash costs, and route observability data into the destinations that matter most. Links More Choice, Less Compromise: We're taking you to the Edge! Customers First, Always: Thanks for making the best even better If you want to get every episode of the Stream Life podcast automatically, you can subscribe on Apple Podcasts, Spotify, Pocket Casts, Overcast, RSS, or wherever you get your podcasts.