Podcasts about Internals

In today's episode, Kip dives into pressing market updates and shares his optimistic outlook for the economy, predicting explosive growth and new highs for stocks and cryptocurrencies alike. He covers everything from the latest on Lost Soldier Oil and Gas and Nvidia's historic $4 trillion market cap, to bitcoin's record-breaking run. Kip doesn't shy away from hot topics, touching on political controversies, the latest headlines, and how they intersect with market trends. He makes a strong case for why the coming year could see the U.S. economy soar, highlighting powerful tailwinds like innovation, AI, and the ongoing “melt-up” in the bull market.

In today's episode, Kip dives right into the latest market action, breaking down the recent volatility and what it means for investors. He highlights why yesterday's market decline wasn't a surprise for the VRA team, given the major indexes hitting extreme overbought levels, and shares key reasons for ongoing bullishness including surging money supply, resilient retail investors, and a mountain of cash still sitting on the sidelines. Tune into today's podcast to learn more. 

The Team is finally back on everyone's favorite, INTERNALS at the new studio thanks to  @LatiNationMedia   ! Today's topics were revolving around family, love &  a new segment we introduce called, " Spill The Tea" which is a a live link that lives on the A Toast to Life instagram page. Family is always going to be there and wants what's best for you , but the hard decision is knowing you want to live life on your terms and not theirs and that can cause friction. The main topic y'all wanted to hear about was the Casi Algo's so as the conversation develops people feel free to comment down below what you think or catch our clips on TikTok & Instagram.Support the show

London Tech Talk 名物 Bookclub 第四弾 "Database Internals" 第六章の振り返り収録です。"B-Tree Varients" の内容について振り返りました。まず B Tree (B+ Tree) の簡単なおさらいをしました。B Tree のかかえる Write Amplification や Space Amplification という課題を解決するために B Tree の亜種が開発される必要があったという前提についてまずは理解しましょう。最初に紹介したのは Lazy B-Trees です。Buffering というテクニックを利用して書き込みによる木構造の Node Split や Node Merge の頻度を下げる工夫について紹介しました。具体的には MongoDB のストレージエンジンでもある WiredTiger や Lazy-Adaptive Tree について触れました。続いて Flash-Disk Tree (FD-Tree) について紹介しました。Buffering の議論を推し進めて、Chapter 7. でも紹介する LSM Trees をインスパイアーしたとされる FD Tree のキーワードについて紹介しました。最後に、Microsoft から 2013 年に発表された Buzzword-Tree について紹介しました。マルチコア環境でもスケールするためのデータ構造として、CPU の特別な命令セットである CAS 命令を設計のコアに据え、Mapping Table と呼ばれる中間キャッシュレイヤーを実装した Buzzword-Tree の革新的なアーキテクチャについて触れました。そのほか Bookclub で盛り上がった観点や、次回の Chapter 7 の予定について触れました。ご意見・ご感想など、お便りはこちらの⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠Google Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ で募集しています。

London Tech Talk 名物 Bookclub 第四弾 "Database Internals" 第五章の振り返り収録です。"Transaction Processing and Recovery" の内容について振り返りました。まずは Buffer Management の仕組みについて紹介しました。キャッシュが満杯になった際に、どの Page を立ち退きさせるか (=Eviction) について決断するための CLOCK, TinyLFU といった Caching Strategy について深掘りしました。続いて、Recovery について紹介しました。WAL (Write-Ahead Log) の目的と仕組み、Checkpoint について触れました。また、「リアルタイム共有ドキュメントにおける議事録係」のアナロジーを紹介しながら、Steal / Force Policies について説明を試みました。最後に Concurrency Control について触れました。特に Pessimistic Concurrency Control (PCC, 悲観的並行制御), Optimistic Concurrency Control (OCC, 楽観的並行制御) について、「図書館における人気本の貸出」という別のアナロジーを用いて、詳解しました。ご意見・ご感想など、お便りはこちらの⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠Google Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ で募集しています。

London Tech Talk 名物 Bookclub 第四弾 "Database Internals" 第四章の振り返り収録です。"Implementing B-Trees" の内容について振り返りました。PostgreSQL VACUUMPostgreSQL TOASTご意見・ご感想など、お便りはこちらの⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠Google Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ で募集しています。

Teppei さんをゲストにお呼びしました。London Tech Talk 名物 Bookclub 第四弾 "Database Internals" 第三章の振り返り収録です。"File Formats" の内容について振り返りました。Georgia Tech Fall 2024 振り返り2Q: A Low Overhead High Performance Buffer Management Replacement AlgorithmPostgreSQL's Slotted Page file formats (GitHub)#03 - Database Storage: Files & Pages (CMU Intro to Database Systems)ご意見・ご感想など、お便りはこちらの⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠Google Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ で募集しています。

Kevin Green shows how the MACD shows bearish signs heading into Wednesday morning's CPI print. That data can lead to a breakout or breakdown as the SPX trades near 6,100, a resistance level proven to be a challenge for the index. Kevin also turns to Tesla (TSLA) as it struggles to breakout of its laggard status so far in 2025.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetworkFollow us on Facebook – / schwabnetworkFollow us on LinkedIn - / schwab-networkAbout Schwab Network - https://schwabnetwork.com/about

London Tech Talk 名物 Bookclub 第四弾 "Database Internals" 第二章の振り返り収録です。"B-Tree Basics" の内容について振り返りました。 B-tree (Wikipedia) B+ tree (Wikipedia) #08 - Tree Indexes: B+Trees (CMU Intro to Database Systems B-Tree Visualizations MyRocks - A RocksDB storage engine with MySQL RocksDB - A persistent key-value store for fast storage environments ご意見・ご感想など、お便りはこちらの⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠Google Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ で募集しています。

Being the magnetic woman who gets everything she wants & turns heads when she walks into a room is 10000% an inside job. And inside this episode you're going to learn 3 hyper-specific & *unique* ways to become magnetic AF. I hope you love it

London Tech Talk 名物 Bookclub 第四弾 "Database Internals" 第一章の振り返り収録です。 Using EXPLAIN (PostgreSQL) Non-volatile Memory (Wikipedia) 131. 【Bookclub 第四弾】 "Database Internals" 参加者募集のお知らせ ご意見・ご感想など、お便りはこちらの⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠Google Form⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ で募集しています。

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/join Membership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA ------------------------------------------------------------------------------------------------------------------------------------------------------------------ About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------ In this episode of the Geek Narrator podcast, host Kaivalya Apte interviews Marc Brooker, a distinguished engineer at AWS, about Aurora D-SQL. They discuss Marc's journey at AWS, the evolution of Aurora D-SQL, and the customer-centric approach that led to its development. Marc explains the choice of PostgreSQL as the foundation for DSQL, the architecture of the database, and the importance of snapshot isolation and concurrency control. The conversation goes into the technical aspects of DSQL, including the write process and how atomicity is maintained, providing listeners with a comprehensive understanding of this innovative database solution. This conversation also goes deep into the intricacies of database design, focusing on fault tolerance, replication strategies, and the role of Firecracker VMs in enhancing scalability. Marc Brooker discusses the architecture of Aurora D-SQL, emphasizing the importance of transaction management, the challenges of active-active deployments, and the trade-offs involved in database design. The discussion also highlights various use cases for Aurora DSQL, including its suitability for micro-services and serverless architectures, while addressing scenarios where it may not be the best fit. Chapters 00:00 Introduction to Aurora DSQL and Marc Brooker's Journey 03:38 The Evolution of Aurora DSQL at AWS 09:24 Customer-Centric Development and Technological Enablers 12:50 Why PostgreSQL? The Choice Behind DSQL 16:39 High-Level Architecture of DSQL 22:07 Understanding Snapshot Isolation and Concurrency Control 28:45 The Write Process and Atomicity in DSQL 38:50 Designing Fault Tolerance in Databases 47:38 Replication and Transaction Commit Strategies 54:35 Active-Active Deployment and Fault Tolerance 01:00:14 Role of Firecracker VM in Scalability 01:09:27 Use Cases and Trade-offs of Aurora D-SQL Marc's Blog: https://brooker.co.za/blog/ Marc on Aurora DSQL : https://brooker.co.za/blog/2024/12/03/aurora-dsql.html AWS's documentation on Aurora DSQL : https://aws.amazon.com/rds/aurora/dsql/features/ ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Like building real stuff? ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Link to other playlists. LIKE, SHARE and SUBSCRIBE ------------------------------------------------------------------------------------------------------------------------------------------------------------------ If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! #sql #postgres #databasesystems #aws #awsdevelopers #spanner #google #cockroachdb #yugabytedb #cap #scalability #WAL #DistributedSystems #Cloud #aurora

The GeekNarrator memberships can be joined here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/join Membership will get you access to member only videos, exclusive notes and monthly 1:1 with me. Here you can see all the member only videos: https://www.youtube.com/playlist?list=UUMO_mGuY4g0mggeUGM6V1osdA ------------------------------------------------------------------------------------------------------------------------------------------------------------------ About this episode: ------------------------------------------------------------------------------------------------------------------------------------------------------------------ In this episode we are talking to Peter and Qian, co-founders of DBOS. The conversation covers the challenges of creating fault-tolerant applications, the architecture of DBOS, and how it addresses reliability at multiple layers. Chapters: 00:00 Introduction to the Geeknerder Podcast 00:29 Meet the Co-Founders of DBOSS 01:25 The Core Problem: Building Reliable Systems 02:05 How DBOSS Solves Reliability Issues 04:29 Understanding DBOSS Architecture 06:09 Deep Dive into DBOSS Library 08:36 Postgres and State Management 18:31 Handling Parallel Steps and Performance Concerns 26:00 Observability and Version Control 30:18 Running Multiple Code Versions 30:58 Managing Workflow Versions 32:03 Surgery on Workflow States 33:15 Library Annotations and Durable Execution 34:24 Migrating to the Cloud Version 37:23 Handling Email Workflows 42:41 Transactional Guarantees with Postgres 48:44 Technical Challenges and Multi-Tenancy 54:12 Real-World Use Cases and Benefits 59:45 Conclusion and Final Thoughts Some important links: - Main website: https://www.dbos.dev/ - DBOS docs: https://docs.dbos.dev/ - Open-source DBOS Transact libraries: - Python: https://github.com/dbos-inc/dbos-transact-py - TypeScript: https://github.com/dbos-inc/dbos-transact-ts ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Like building real stuff? ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Link to other playlists. LIKE, SHARE and SUBSCRIBE ------------------------------------------------------------------------------------------------------------------------------------------------------------------ If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning!

London Tech Talk 名物となった Bookclub 第四弾の本が決まりました。"Database Internals" を一緒に読んでいきます。 今回は三つのタイムゾーンのうち二つのタイムゾーンフレンドリーな開催時間をローテーションで回していきます。北米で参加者を積極的に募集しています。APAC および EMEA の場合、参加者多数のため、Waiting List の追加とさせてください。 参加をご希望の方は、以下のお便りフォームよりご連絡ください。初回は 1 月 13 日週を検討しています。 参加希望フォーム (Google Form) Database Internals official page

The SPX trended lower at the beginning of the trading day. Kevin Green says open interest dispersion and a breakdown of market breadth are behind the slide in stocks. Big Tech may need to pull the market along even though Nvidia (NVDA) has shown recent weakness. ======== Schwab Network ======== Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribe Download the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185 Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7 Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watch Watch on Vizio - https://www.vizio.com/en/watchfreeplus-explore Watch on DistroTV - https://www.distro.tv/live/schwab-network/ Follow us on X – https://twitter.com/schwabnetwork Follow us on Facebook – https://www.facebook.com/schwabnetwork Follow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Database Internals - NileDB: Postgres Re-engineered for Multitenant Apps with Gwen Shapira Join us in this episode as we dive deep into the intricacies of NileDB, a groundbreaking database re-engineered for multi-tenant applications. Our special guest, Gwen Shapira, co-founder of NileDB and a notable figure in the database field, shares her insights and technical know-how on solving the common challenges faced by multitenant SaaS applications. From the benefits of using Postgres as the underlying database to the unique tenant isolation features of NileDB, we cover it all. Don't miss out on learning about AI native capabilities, handling schema migrations, and ensuring zero downtime data migrations. Chapters: 00:00 Introduction 07:19 Challenges in Multi-Tenant Databases 11:09 Tenant Isolation and NILDB's Approach 34:16 Necessary Modifications for Tenant Data 37:47 Zero Downtime Data Migrations 44:32 Handling Schema Migrations 59:11 AI Use Cases and Vector Embedding Storage 59:51 Technical and Non-Technical Learnings from Building Nile 01:05:03 Future Plans and Upcoming Features NileDB: https://www.thenile.dev/ Blog: https://www.thenile.dev/blog Gwen's Linkedin: https://www.linkedin.com/in/gwenshapira Gwen's Twitter: https://twitter.com/gwenshap #postgres #sql #ai Become a member of The GeekNarrator to get access to member only videos, notes and monthly 1:1 with me. Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription. https://app.codecrafters.io/join?via=geeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning!

Welcome back to another episode! Today, I have a special guest, Chris Riccomini, joining me to delve into the exciting world of databases. In this episode, we focus on SlateDB, a new and innovative database that's making waves in the tech community. We'll cover a wide range of topics, including the architecture of SlateDB, its internals, design decisions, and some fascinating use cases. Chris, a seasoned software engineer with a background at LinkedIn and WePay, shares his journey and the motivations behind creating SlateDB.

Speaker: Pastor Armstrong Passage: Matthew 7:1-5

CIO Scott Glasser and Head of Strategy Jeff Schulze see the economy slowing but avoiding recession in the second half of 2024 into 2025. Meanwhile, the stock market remains healthy yet bears watching due to deterioration beyond the mega caps. They also explain how these conditions create compelling opportunities for active managers.

In this interview with Rosa Gutierrez of 37signals, Rosa elaborates on her work, particularly her contributions to Solid Queue and its implementation alongside Active Job. She describes the motivations behind developing Solid Queue, addressing performance issues with existing systems like Resque, and transitioning some workloads to database-backed queues. Rosa also explains the technical details of Solid Queue's architecture, including supervisor and dispatcher roles, how it handles job prioritization, concurrency, and the challenges of ensuring performance in high-load environments. Essential advice is provided on when to use or avoid Solid Queue, depending on specific needs and existing setups.Solid Queue37signals

Trading full-time since 1999. He's been a principal and head trader for RBC capital and Translucent Capital Management. Now he's a retail trader trading weekly options on a strict technical basis. Founder of Shadowtrader.net. Confessions of a Market Maker presents Peter Reznicek.------------------------------------------------------------------------------------------------------------------https://www.shadowtrader.net/Peter on Twitter: https://x.com/PeterReznicekJJ on Twitter: https://x.com/vwaptrader1Ray on Twitter: https://x.com/AllxDayxRayx------------------------------------------------------------------------------------------------------------------Microefutures.com trading room is now offering a 7 days free trial with no obligations. Offering not only ES where JJ teaches and trades, but other futures instruments, stocks, crypto, DFS and sports betting. A 7 day free trial with no obligation or commitment. Come join us at mircoefutures.com

 In today's episode, we dive into the market's cautious stance ahead of the latest look at inflation with tomorrow's CPI data. Tyler highlights the positive internal market metrics juxtaposed against mixed external signs and notes the standout performance of small caps and tech sectors. 

https://backend.win https://databases.win I'm a big believer that database systems share similar core fundamentals at their storage layer and understanding them allows one to compare different DBMS objectively. For example, How documents are stored in MongoDB is no different from how MySQL or PostgreSQL store rows.  Everything goes to pages of fixed size and those pages are flushed to disk.  Each database define page size differently based on their workload, for example MongoDB default page size is 32KB, MySQL InnoDB is 16KB and PostgreSQL is 8KB. The trick is to fetch what you need from disk efficiently with as fewer I/Os as possible, the rest is API.   In this video I discuss the evolution of MongoDB internal architecture on how documents are stored and retrieved focusing on the index storage representation. I assume the reader is well versed with fundamentals of database engineering such as indexes, B+Trees, data files, WAL etc, you may pick up my database course to learn the skills. Let us get started.

I. The Signs of a False Teacher They have a DESIRE w/out discipleship - v. 7a They have a CALLING w/out Character & Content - v. 7b They have the PRIDE of Position and Prominence They PRIORITIZE the Externals bc they lack the Internals - They want to BE SERVED rather than Be Servants They see God's Sheep as RESOURCES for riches - They love money and use people They LACK a Love for God's Law - 1:5-6-11 They LACK a Christ-Centered Testimony of Humility - 12-15 They LACK a High View of God - 16-17 They MUST BE silenced & removed The Purpose of the Law & The Parallel of Paul's Testimony! (The Law does not save us - cannot save; The Law can and does sanctify us - Obedience is what makes our saving faith grow - Matthew 7:24-27; James 1:22) II. The Law is: Notice the adoration of the Law - the action of the Law - the attitude we should have of the Law! good - 1:8 not for the just - 1:9a for the ungodly- 1:9b bad news part of the gospel - 1:11 hushes the self-righteous - Romans 3:19-20 holy - Romans 7:12 helpful - Galatians 3:24-25 delightful (full of) - Psalm 1:2 perfect - Psalm 19:7a restorative - Psalm 19:7b wonderful (full of) - Ps. 119:18 truthful (full of) - Ps. 119:29, 42 obeyed - Psalm 119:34, 44 derided - Psalm 119:51, 61 bothersome - Psalm 119:54 valuable - Psalm 119:72 merciful (full of) - Ps. 119:77 lovable - Psalm 119:97a contemplative - Psalm 119:97b straightforward - Ps. 119:113 emotional - Psalm 119:136 anchoring - Psalm 119:153 peaceful (full of) - Ps. 119:165

(2/8/24) The S&P set another, new all-time high on Wednesday, closing just short of the psychologically-important 5,000-mark (see article link below). Market internals, however, are showing a very different view than headline numbers would infer. The number of stocks above their 50-week moving average is getting lower; the number of stocks above their 200-DMA is turning lower, showing a deterioration in participation within the market even though the index is rising. Thank you, top-ten stocks dragging about 35% of passive inflows along for the ride. The problem is, the rest of the market is selling off, and that's a deviation worth paying attention to. Hosted by RIA Chief Investment Strategist, Lance Roberts, CIO  Produced by Brent Clanton, Executive Producer ------- Articles mentioned in this report: "S&P Index Set To Hit 5000 As Bull Run Continues" https://realinvestmentadvice.com/sp-index-set-to-hit-5000-as-bull-run-continues/ ------- Register for our next Candid Coffee: "Five Money Habits of Unhappy Couples," Saturday, February 24, 2024: https://streamyard.com/watch/TJz2bu2Xn9Hu --------  Get more info & commentary:  https://realinvestmentadvice.com/insights/real-investment-daily/ ------- Watch the video version of this report by subscribing to our new "Before the Bell" YouTube channel:  https://www.youtube.com/watch?v=GbDq654nLvI&list=PLwNgo56zE4RAbkqxgdj-8GOvjZTp9_Zlz&index=1 ------- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN -------- Subscribe to SimpleVisor: https://www.simplevisor.com/register-new -------- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #InvestingAdvice #SP5000 #NASDAQ #Russell2000 #SmallCap #MidCap #MarketRally #MarketDivergence #Markets #Money #Investing 

Jesús Espino is a Senior Staff Engineer at Mattermost specializing in Full Stack Development on the API side of the platform. Mattermost is an open source platform for secure collaboration across the entire software development lifecycle. Mattermost's platform powers over 800,000 workspaces worldwide with the support of over 4,000 contributors from across the developer community.  In this episode, Jesús takes us on a journey through his time in the tech industry while sharing valuable insight and entertaining stories along the way.00:00 Introduction05:29 What is Jesús Doing Today? 10:50 First Memory of a Computer17:32 Thoughts on University25:21 Joining the Workforce33:03 First Job after University47:08 Moving Companies51:30 Transitioning to Go58:40 Deciding to Focus on Go1:03:40 Solving Problems with Internals of Go1:11:50 Thoughts on Mattermost1:13:16 Contact InfoConnect with Jesús: Twitter: https://twitter.com/LinkedIn: https://www.linkedin.com/in/jesus-espinoMentioned in today's episode:Mattermost: https://mattermost.com/Gophercon EU: https://gophercon.eu/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

Deep Dive into Victoria Metrics with Alex and Roman Join the insightful discussion with Vitoriametrics creators, Alex and Roman, in the Geekneritor podcast hosted by Kaivalya Apte. This episode explores the internals of Victoria Metrics - a highly scalable monitoring solution and time series database. Discover the origins of Victoria Metrics, understand how it evolved, and learn about its unique architecture and functionality. From the concept of time series, the usage of consistent hashing in data distribution to real-world applications, it's all packed into this engaging conversation. 00:00 Introduction 01:52 The Genesis of VictoriaMetrics 02:18 The Journey from Postgres to Clickhouse 03:19 The Transition from Prometheus to Victoria Metrics 05:08 The Birth and Evolution of Victoria Metrics 13:01 The Architecture of Victoria Metrics 20:10 Data Ingestion and Integration in Victoria Metrics 29:15 Understanding the Vector Metric Architecture 30:30 Comparing Shared Storage and Object Store 31:00 Designing the VictoriaMetrics Architecture 32:01 The Role of Object Storage 36:15 The Importance of Indexing 43:19 Understanding the Ingestion Process 45:46 Exploring the Select Process 55:55 Future Plans for Victoria Metrics Important Links: 1. Architecture Overview: https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#architecture-overview 2. How ClickHouse Inspired Us to Build a High Performance Time Series Database https://altinity.com/wp-content/uploads/2021/11/How-ClickHouse-Inspired-Us-to-Build-a-High-Performance-Time-Series-Database.pdf 3. Frequently asked questions. https://docs.victoriametrics.com/FAQ.html =============================================================================== For discount on the below courses: Appsync: https://appsyncmasterclass.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Testing serverless: https://testserverlessapps.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Production-Ready Serverless: https://productionreadyserverless.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Use the button, Add Discount and enter "geeknarrator" discount code to get 20% discount. =============================================================================== Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning!

Join us on a deep dive into the intricacies of TiDB with Li Shen from PingCap. In this episode, Li Shen provides a comprehensive exploration of TiDB, its unique features, and how it tackles scalability and reliability issues commonly associated with MySQL. If you're dealing with struggles in your MySQL cluster and seeking a more dependable and scalable system, TiDB might be the solution for you. This conversation touches on various aspects of this cutting-edge database, its operational mechanism, use case scenarios, and how it's optimized for different workloads. Key topics include: the architecture of TiDB, the journey of data from API to storage node, embracing analytical use cases, the importance of database reliability, and the process of migrating to TiDB. Dive in now! 00:00 Introduction and Welcome 02:47 Defining TIDB: A Disputed SQL Database 04:55 The Role of MySQL Compatibility in TIDB 05:54 Primary Use Cases for TIDB 09:38 Understanding the Data Ingestion Process in TIDB 16:52 Understanding Indexing in TIDB 23:01 Pushing Down Table Scans and Partial Aggregation 24:39 Introduction to Columnary Extension: Flash 24:54 Understanding Data Replication and Learner Nodes 26:23 Ensuring Strong Consistency in Data 27:12 Balancing Transactional and Analytical Use Cases 27:57 Understanding Data Replication and Consistency Model 28:42 Exploring Ty Flash Storage Layer 28:54 Understanding High Concurrency Insert and Update 32:09 Exploring the Read Path and Caching Mechanism 37:50 Understanding the Importance of High Reliability 43:01 Exploring Migration from Other Databases 48:01 Comparing TiDB with Other Distributed SQL Databases 52:21 Identifying Use Cases Where TiDB Might Not Be the Best Choice Stay Curios! Keep Learning!

Deep Dive into DuckDB with CTO Mark Raasveldt Decode the insights of databases with Geek Narrator podcast. In this episode, host Kaivalya Apte converses with Mark Raasveldt, the CTO of DuckDB labs, discussing his journey from being a database enthusiast to creating DuckDB. They delve into how DuckDB, an analytical database, differs from other databases, the design decisions, its internal mechanisms, and much more. The episode also highlights the advantages of DuckDB in analytics, the motivation behind its ACID compliance, and how DuckDB handles ingestion, transaction isolation, mutations, and queries. Join in to learn how your data workloads can benefit from DuckDB. 00:00 Introduction and Guest Introduction 00:44 Guest's Journey into Databases 03:40 The Birth of DuckDB 04:30 Challenges with Existing Databases 05:15 Technical Difficulties 05:16 Why Existing Databases Fall Short for Data Scientists 09:16 The Role of SQLite and Its Limitations 13:59 Defining DuckDB 16:48 Comparing DuckDB with Other Analytical Databases 19:50 Deployment Models for DuckDB 22:47 Data ingestion into DuckDB 22:51 Data Ingestion in DuckDB 30:24 How DuckDB Handles Updates and Mutations 35:35 Understanding Column Granularity and Rewrites 35:58 Implications of Compression on Data Updates 36:38 Trade-offs in Row Group Size 37:32 Benefits of Column Storage Model 38:15 Row Groups and Parallelism 39:02 Choosing Row Group Size: An Experimental Approach 40:00 Handling Data Type Changes in Columns 41:00 Internal Data Structures in DuckDB 42:21 Reading Data: Point Lookups, Aggregations, and Joins 47:22 Optimization for Full Table Scans 53:49 Understanding ACID Compliance in DuckDB 55:49 Multi-Version Concurrency Control (MVCC) in DuckDB 59:50 Use Cases and Applications of DuckDB 01:01:42 The Story Behind DuckDB's Name 01:02:34 Future Vision for DuckDB References: DuckDB: https://duckdb.org/ Mark's blog: https://mytherin.github.io/ =============================================================================== For discount on the below courses: Appsync: https://appsyncmasterclass.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Testing serverless: https://testserverlessapps.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Production-Ready Serverless: https://productionreadyserverless.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Use the button, Add Discount and enter "geeknarrator" discount code to get 20% discount. =============================================================================== Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! Cheers, The GeekNarrator

In this episode we talk about ScyllaDB internals with Felipe Mendes. Chapters: 0:00 ScyllaDB internals with Felipe Mendes 07:51 Write Path - API to Storage 11:40 What makes it faster than Cassandra? 13:39 Optimisations: Sea Star, shard per core architecture 15:49 Optimisations: No Garbage collection and Custom Cache Implementation 18:15 Optimisations: Scheduling groups and IO priority classes 20:07 Optimisations: IO scheduler 22:55 Benefits of shard per core architecture 30:16 Write path - Hows is a coordinator chosen? 38:20 Read path 39:27 Read path optimisations - Index Caching 41:48 Shard vs Partition 43:10 Shard per core architecture tradeoff 44:03 Observability of Database References: ScyllaDB architecture: https://opensource.docs.scylladb.com/stable/architecture/ Sea star: https://seastar.io/ ScyllaDB Caching: https://www.scylladb.com/2018/07/26/how-scylla-data-cache-works/ Shard per core architecture: https://www.scylladb.com/product/technology/shard-per-core-architecture/ Database performance at Scale: https://www.scylladb.com/2023/10/02/introducing-database-performance-at-scale-a-free-open-source-book/ =============================================================================== For discount on the below courses: Appsync: https://appsyncmasterclass.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Testing serverless: https://testserverlessapps.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Production-Ready Serverless: https://productionreadyserverless.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Use the button, Add Discount and enter "geeknarrator" discount code to get 20% discount. =============================================================================== Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! Cheers, The GeekNarrator

In this episode I talk to Michael Hunger from Neo4j about Graph Database Internals (Neo4J) Chapters: 0:00 Introduction and historical context 20:51 Data Modelling 25:16 Problem with SQL for Graph Model 26:21 Cypher - Query Language 28:23 Write Path 31:36 Neo4J Storage Layer 33:51 Graph API on top of Relational Model vs Native Graph Databases 37:05 Create Node Relationships 40:42 What makes Graph Database's performance better? 46:00 Partitioning Strategy 53:20 Read path 59:27 Schema Migration 01:04:41 Graph database use cases =============================================================================== For discount on the below courses: Appsync: https://appsyncmasterclass.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Testing serverless: https://testserverlessapps.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Production-Ready Serverless: https://productionreadyserverless.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Use the button, Add Discount and enter "geeknarrator" discount code to get 20% discount. =============================================================================== Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series: https://youtu.be/yV_Zp0Mi3xs Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Stay Curios! Keep Learning! Cheers, The GeekNarrator

Hey Everyone, In this video I talk to Franck Pachot about internals of YugabyteDB. Franck has joined the show previously to talk about general database internals and its again a pleasure to host him and talk about DistributedSQL, YugabyteDB, ACID properties, PostgreSQL compatibility etc. Chapters: 00:00 Introduction 01:26 What does Cloud Native means? 02:57 What is Distributed SQL? 03:47 Is DistributedSQL also based on Sharding? 05:44 What problem does DistributedSQL solves? 07:32 Writes - Behind the scenes. 10:59 Reads: Behind the scenes. 17:01 BTrees vs LSM: How is the data written do disc? 25:02 Why RocksDB? 29:52 How is data stored? Key Value? 33:56 Transactions: Complexity, SQL vs NoSQL 42:51 MVCC in YugabyteDB: How does it work? 45:08 Default Transaction Isolation level in YugabyteDB 51:57 Fault Tolerance & High Availability in Yugabyte 56:48 Thoughts on Postgres Compatibility and Future of Distributed SQL 01:03:53 Usecases not suitable for YugabyteDB Previous videos: Database Internals: Part1: https://youtu.be/DiLA0Ri6RfY?si=ToGv9NwjdyDE4LHO Part2: https://youtu.be/IW4cpnpVg7E?si=ep2Yb-j_eaWxvRwc Geo Distributed Applications: https://youtu.be/JQfnMp0OeTA?si=Rf2Y36-gnpQl18yj Postgres Compatibility: https://youtu.be/2dtu_Ki9TQY?si=rcUk4tiBmlsFPYzY I hope you liked this episode, please hit the like button and subscribe to the channel for more. Popular playlists: Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA- Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17 Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN Franck's Twitter and Linkedin: https://twitter.com/FranckPachot and https://www.linkedin.com/in/franckpachot/ Connect and follow here: https://twitter.com/thegeeknarrator and https://www.linkedin.com/in/kaivalyaapte/ Keep learning and growing. Cheers, The GeekNarrator

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Impact stories for model internals: an exercise for interpretability researchers, published by Jenny Nitishinskaya on September 25, 2023 on The AI Alignment Forum. Inspired by Neel's longlist; thanks to @Nicholas Goldowsky-Dill and @Sam Marks for feedback and discussion, and thanks to AWAIR attendees for participating in the associated activity. As part of the Alignment Workshop for AI Researchers in July/August '23, I ran a session on theories of impact for model internals. Many of the attendees were excited about this area of work, and we wanted an exercise to help them think through what exactly they were aiming for and why. This write-up came out of planning for the session, though I didn't use all this content verbatim. My main goal was to find concrete starting points for discussion, which have the right shape to be a theory of impact are divided up in a way that feels natural cover the diverse reasons why people may be excited about model internals work (according to me). This isn't an endorsement of any of these, or of model internals research in general. The ideas on this list are due to many people, and I cite things sporadically when I think it adds useful context: feel free to suggest additional citations if you think it would help clarify what I'm referring to. Summary of the activity During the session, participants identified which impact stories seemed most exciting to them. We discussed why they felt excited, what success might look like concretely, how it might fail, what other ideas are related, etc. for a couple of those items. I think categorizing existing work based on its theory of impact could also be a good exercise in the future. I personally found the discussion useful for helping me understand what motivated some of the researchers I talked to. I was surprised by the diversity. Key stats of an impact story Applications of model internals vary a lot along multiple axes: Level of human understanding needed for the application If a lot of human understanding is needed, does that update you on the difficulty of executing in this direction? If understanding is not needed, does that open up possibilities for non-understanding-based methods you hadn't considered? For example, determining whether the model does planning would probably require understanding. On the other hand, finding adversarial examples or eliciting latent knowledge might not involve any. Level of rigor or completeness (in terms of % model explained) needed for the application If a high level of rigor or completeness is needed, does that update you on the difficulty of executing in this direction? What does the path to high rigor/completeness look like? Can you think of modifications to the impact story that might make partial progress be more useful? For example, we get value out of finding adversarial examples or dangerous capabilities, even if the way we find them is somewhat hacky. Meanwhile, if we don't find them, we'd need to be extremely thorough to be sure they don't exist, or sufficiently rigorous to get a useful bound on how likely the model is to be dangerous. Is using model internals essential for the application, or are there many possible approaches to the application, only some of which make use of model internals? Steering model behaviors can be done via model editing, or by prompting or finetuning; but, there are reasons (mentioned below) why editing could be a better approach. Many impact stories (at least as I've categorized them) have variants that live at multiple points on these spectra. When thinking about one, you should think about where it lands, and what variants you can think of that might be e.g. easier but still useful. The list Some are more fleshed out than others; some of the rest could be fleshed out with a bit more effort, while others are more ...

This is a recap of the top 10 posts on Hacker News on August 12th, 2023.Wondercraft HN Launch: https://news.ycombinator.com/item?id=37088087(00:42): The Carrot ProblemOriginal post: https://news.ycombinator.com/item?id=37100226&utm_source=wondercraft_ai(02:27): Exploring the Internals of Linux v0.01Original post: https://news.ycombinator.com/item?id=37101588&utm_source=wondercraft_ai(04:15): A conversation with a newspaper owner raided by copsOriginal post: https://news.ycombinator.com/item?id=37102271&utm_source=wondercraft_ai(06:03): tRPC – Build and consume typesafe APIs without schemas or code generationOriginal post: https://news.ycombinator.com/item?id=37098875&utm_source=wondercraft_ai(07:54): Deep Learning SystemsOriginal post: https://news.ycombinator.com/item?id=37101515&utm_source=wondercraft_ai(09:31): Auditory illusions with examples from Daft PunkOriginal post: https://news.ycombinator.com/item?id=37103802&utm_source=wondercraft_ai(10:00): My $0->$100M->$0 in 5 years storyOriginal post: https://news.ycombinator.com/item?id=37102442&utm_source=wondercraft_ai(11:45): 20 Years of VimOriginal post: https://news.ycombinator.com/item?id=37099750&utm_source=wondercraft_ai(13:51): I feel like I made a mistake investing professionally into FlutterOriginal post: https://news.ycombinator.com/item?id=37098591&utm_source=wondercraft_ai(15:21): Illegal raids contribute to death of newspaper co-ownerOriginal post: https://news.ycombinator.com/item?id=37105764&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Our fifth season dives into large language models (LLMs), from understanding the internals to the risks of using them and everything in between. While we're at it, we'll be enjoying our morning brew.In this session, we interviewed Chengyin Eng (Senior Data Scientist, Databricks), Sam Raymond (Senior Data Scientist, Databricks), and Joseph Bradley (Lead Production Specialist - ML, Databricks) on the best practices around LLM use cases, prompt engineering, and how to adapt MLOps for LLMs (i.e., LLMOps).

This Week's episode is about Windows Internals in depth, we've talked about things from an offensive and defensive perspective. Things like Hooks, Kernel callbacks, how security companies are using them and how Red Teamers are leveraging them as well. We've talked about many other concepts such as user space mode and kernel space mode, Patch Guard and many others. This episode is part of The Cyber Riddler podcast, Check out the other episodes on any of your favorite podcast apps. Just search the name "The Cyber Riddler". Not all of the episodes are in YouTube. links belowFull Interview below:https://www.youtube.com/watch?v=7pQpc1g7focPavel's YouTube Channelhttps://www.youtube.com/@zodiacon https://thecyberriddler.com/blog/windows-internalsTwitter: @almorabeaTwitter: @CyberRiddlerWebsite: https://thecyberriddler.com

Nikolay and Michael celebrate the podcast's 1 year anniversary by going through several questions and suggestions received over the year. Here are the questions and some links to things we mentioned: Question 1: Effect of wal_log_hints=on after bulk Deletes: Why next select runs slow and generated tons of WAL? https://twitter.com/dmx551/status/1598253188926570496 wal_log_hints https://www.postgresql.org/docs/current/runtime-config-wal.html#GUC-WAL-LOG-HINTS Exploring how SELECT Queries can produce disk writes https://blog.okmeter.io/postgresql-exploring-how-select-queries-can-produce-disk-writes-f36c8bee6b6fQuestion 2: How to get started reading PostgreSQL source code. Maybe a PostgreSQL style C reference guide to consult with for non C programmers https://twitter.com/andatki/status/1578088843940593678 So, you want to be a developer? https://wiki.postgresql.org/wiki/So,_you_want_to_be_a_developer%3FGitHub search https://github.com/search?q=repo%3Apostgres%2Fpostgres+wal_log_hints&type=code The Internals of PostgreSQL (by Hironobu SUZUKI) https://www.interdb.jp/pg/ PostgreSQL 14 Internals (by Egor Rogov) https://postgrespro.com/community/books/internals Question 3: Isolation Levels Primer/Strategies — their uses in different scenarios, battle tested strategies and insights, performance tradeoffs, edge cases to consider at scale (with replication and sharding, etc.) I remember reading some interesting stuff on the jepsen analysis https://jepsen.io/analyses/postgresql-12.3 about Postgres's Serializable Isolation Level behaving more like Snapshot Isolation. Has this type of behavior or another one similar to this affected you or your clients in any significant way?Transaction Isolation https://www.postgresql.org/docs/current/transaction-iso.htmlWhat developers find surprising about Postgres transactions https://blog.lawrencejones.dev/isolation-levels/  Question 4: Data encryption in PostgresCybertec Transparent Data Encryption https://www.cybertec-postgresql.com/en/products/postgresql-transparent-data-encryption/ EDB Transparent Data Encryption https://www.enterprisedb.com/docs/tde/latest/Question 5: Migration from other DBMSsPostgreSQL transition/migration guide https://github.com/postgresql-transition-guide/guide  Question 6: Latest failover best practicesPatroni https://github.com/zalando/patroni~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is brought to you by:Nikolay Samokhvalov, founder of Postgres.aiMichael Christofides, founder of pgMustardWith special thanks to:Jessie Draws for the amazing artwork 

Noah Weiss is the Chief Product Officer of Slack, overseeing the product team's strategy and development. Over his seven years at Slack, Noah has led various parts of the product organization, including the self-service SMB business and product-led growth; the Virtual HQ team that launched huddles and clips; and the search and machine learning teams. Prior to Slack, Noah served as SVP of Product and Analytics at Foursquare. He started his career at Google leading the structured data search team and working on display ads. In Today's Episode with Noah Weiss We Discuss: 1.) Entry into Product and Road to Slack CPO: How did Noah make his first foray into the world of product with Google? What are 1-2 of his single biggest takeaways from his time with Google and Foursquare? What model did Noah learn at Google that he applies to product today? 2.) Product 101: The Foundations: Is product more art or science? If Noah were to put a number on it what would it be? What are product principles? What makes good vs bad product principles? What are the biggest mistakes that founders make when instilling product principles? Does Noah believe with Gustav Soderstrom, "talk is cheap and so we should do more of it"? 3.) How to Master Product-Led-Growth: What are some of Noah's biggest lessons on how to master PLG? What are the biggest mistakes Noah sees early stage founders make today when going for the PLG approach? How does he advise them? When is the right time to move into enterprise? What needs to change? How do you change who you build product for? The buyer or the user? Why does Noah believe product speed will always be the most important thing in product? 4.) The Internals of Slack: How does Slack do post-mortems today? Who comes? Who sets the agenda? How has this changed in a world of remote? What does it take to do them well? How do Slack do product testing pre-launch of new products? Do they know when something is going to be a hit? What did they think would be a massive hit that turned into a flop? What does Noah believe is the biggest near death product experience for Slack? What happened? How did they get through it? Why do Slack buy other companies? How do they think through the decision of buy vs build? When do acquisitions work? When do they not work?

Link to slide deck: https://bit.ly/3ILNoZJ   - Today, we note the extreme divergence in equity market themes over the last week that is a hidden development underneath the strong performance of the major US indices on Friday. We look at the moderate impact thus far of the debt ceiling agreement-in-principle reached at the weekend, discuss the strong earnings season and few interesting names set to report this week. Energy and the European natural gas market are in focus in commodities while we also try to gauge where we are in terms of timing an eventual recession with US yield-curve and consumer confidence survey indicators. This and more in today's, which features Peter Garnry on equities, Ole Hansen on commodities, with John J. Hardy hosting and on FX. Read daily in-depth market updates from the Saxo Market Call and SaxoStrats Market Strategy Team here. Click here to open an account with Saxo   - Intro and outro music by AShamaluevMusic

What's with the tension? Aren't we trying to accomplish the same thing?   There's nothing more counterproductive in all of hiring than the adversarial relationship that (some) internal and external recruiters have. Internals begrudgingly use externals on hard searches when they don't really want to pay a fee. Externals angle around internals when they don't feel they're on a level playing ground.   It's silly. But what causes it? And why is it so unique to the talent acquisition space compared to other areas of professional services?   Jeff Smith and James Hornick will dig into the insanity and provide a more productive path forward in The 10 Minute Talent Rant, Episode 65 "Can internal and external recruiters be best friends?"  

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! Who remembers taxis? They were these yellow cars that appeared at random with seemingly inexplicable service charges. You may be more familiar with taxi 2.0: Uber - a platform fully powered by real-time analytics. In this episode, Tim sits down with Rong Rong (Software Engineer, StarTree) to talk about how Uber made use of Apache Pinot, when he came over to StarTree, as well as a deep dive into some Apache Pinot internals.

2023 - 03 - 25 - Men's Weekend - Lonny Jones - Internals Vs Externals by Buford Church of Christ

...in which I update you on life right now HINT IT'S A SEASON OF DEATH and on what grief looks like, and why literally ANY day of being 27 years old was harder for me than the day I put my mom in the ground. Upbeat episode? Nope. As real as it gets from beginning to end? Absolutely. Hosted on Acast. See acast.com/privacy for more information.

TCW Podcast Episode 179 - Space Invaders and Nishikado   We look at the life and career of Tomohiro Nishikado, and the life influences that led to his creation of one of the most influential games ever made. Space Invaders! Starting life at the tail end of World War II, Nishikado always had a rebellious streak wanting to get into electronics then follow his mother into education. After some difficulty with school he eventually graduated from Denki University with an electronics degree, during this time, this time he fell in love with coin-op arcade games. Eventually through the help of a friend he landed a job at Taito's subsidiary, Pacific Amusements. Despite not liking his placement at the company, Nishikado continued to work there out of loyalty for his friend. He eventually worked on Sky Fighter, Basketball, and Super Road 7.  Eventually as the industry shifted to microprocessors, and TTL  hardware he eventually made Space Invaders!   TCW 077 - Invading Taito Part 1: http://podcast.theycreateworlds.com/e/invading-taito-part-1/ TCW 078 - Invading Taito Part 2:  http://podcast.theycreateworlds.com/e/invading-taito-part-2 Sky Fighter II: https://www.youtube.com/watch?v=RxpCrYBWdtk Taito Basketball: https://www.youtube.com/watch?v=AiTrWumX00s Super Road 7: https://www.youtube.com/watch?v=vO6BZIEZ8xw Super Road 7 Internals: https://www.youtube.com/watch?v=ja8x_ZCklg0 Speed Race US and Japan Ver: https://www.youtube.com/watch?v=5jc9_xrD2_M Western Gun: https://www.youtube.com/watch?v=XbnYBB42J6c Interceptor: https://www.youtube.com/watch?v=50zEbS2cgEc Midway Sea Wolf: https://www.youtube.com/watch?v=ipssJjkN2bY Space Invaders: https://www.youtube.com/watch?v=DJMr36hLY38 Space Invaders Cocktail: https://www.youtube.com/watch?v=V3hyLWCuMew   New episodes are on the 1st and 15th of every month!   TCW Email: feedback@theycreateworlds.com  Twitter: @tcwpodcast Patreon: https://www.patreon.com/theycreateworlds Alex's Video Game History Blog: http://videogamehistorian.wordpress.com Alex's book, published Dec 2019, is available at CRC Press and at major on-line retailers: http://bit.ly/TCWBOOK1     Intro Music: Josh Woodward - Airplane Mode -  Music - "Airplane Mode" by Josh Woodward. Free download: http://joshwoodward.com/song/AirplaneMode  Outro Music: RolemMusic - Bacterial Love: http://freemusicarchive.org/music/Rolemusic/Pop_Singles_Compilation_2014/01_rolemusic_-_bacterial_love    Copyright: Attribution: http://creativecommons.org/licenses/by/4.0/

Here are links to a few things we mentioned: The Internals of PostgreSQL chapter 5 (book by Hironobu SUZUKI) PostgreSQL 14 internals chapter 7 (book by Egor Rogov)  Transaction ID Wraparound (blog post from Sentry) What We Learned from the Recent Mandrill Outage (blog post from Mailchimp) How to simulate transaction ID wraparound (blog post by Prashant Dixit)Add 64-bit XIDs into PostgreSQL 16 (commitfest entry)  Partitioning (docs)  Consider using VACUUM's INDEX_CLEANUP option (tweet by Peter Geoghan) Add wraparound failsafe to VACUUM (commit) Do you vacuum everyday? (talk by Hannu Krosing) Multixacts wraparound monitoring (mailing list thread) Subtransactions Considered Harmful (blog post by Nikolay) Buffer management in PostgreSQL (talk by Alexander Korotkov) OrioleDB pageinspectpg_hexedit  pg_visibility  Visibility Map (docs)------------------------What did you like or not like? What should we discuss next time? Let us know by tweeting us on @samokhvalov / @michristofides / @PostgresFM, or by commenting on our Google doc.If you would like to share this episode, here's a good link (and thank you!)Postgres FM is brought to you by:Nikolay Samokhvalov, founder of Postgres.aiMichael Christofides, founder of pgMustardWith special thanks to:Jessie Draws for the amazing artwork 

YCharts recently published a fantastic report that details the advisor-wholesaler relationship. This report is applicable for Heads of Distribution, National Sales Managers, Divisional Managers, Externals and Internals alike.The host highlights a few key survey results, and offers an opinion on how these data points might impact distribution professionals. Disclaimer: the opinions expressed by the host are purely his own and are not affiliated with YCharts or any other entity. Click here to download the full report Start Your FREE 7-Day YCharts Trial 

What happens when you need to store more than a few petabytes of data? Rittika Adhikari (Software Engineer, Confluent) discusses how her team implemented tiered storage, a method for improving the scalability and elasticity of data storage in Apache Kafka®. She also explores the motivating factors for building it in the first place: cost, performance, and manageability. Before Tiered Storage, there was no real way to retain Kafka data indefinitely. Because of the tight coupling between compute and storage, users were forced to use different tools to access cold and hot data. Additionally, the cost of re-replication was prohibitive because Kafka had to process large amounts of data rather than small hot sets.As a member of the Kafka Storage Foundations team, Rittika explains to Kris Jenkins how her team initially considered a Kafka data lake but settled on a more cost-effective method – tiered storage. With tiered storage, one tier handles elasticity and throughput for long-term storage, while the other tier is dedicated to high-cost, low-latency, short-term storage. Before, re-replication impacted all brokers, slowing down performance because it required more replication cycles. By decoupling compute and storage, they now only replicate the hot set rather than weeks of data. Ultimately, this tiered storage method broke down the barrier between compute and storage by separating data into multiple tiers across the cloud. This allowed for better scalability and elasticity that reduced operational toil. In preparation for a broader rollout to customers who heavily rely on compacted topics, Rittika's team will be implementing tier compaction to support tiering of compacted topics. The goal is to have the partition leader perform compaction. This will substantially reduce compaction costs (CPU/disk) because the number of replicas compacting is significantly smaller. It also protects the broker resource consumption through a new compaction algorithm and throttling. EPISODE LINKSJun Rao explains: What is Tiered Storage?Enabling Tiered StorageInfinite Storage in Confluent PlatformKafka Storage and Processing FundamentalsKIP-405: Kafka Tiered StorageOptimizing Apache Kafka's Internals with Its Co-Creator Jun RaoWatch the video version of this podcastKris Jenkins' TwitterStreaming Audio Playlist Join the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)  

Here are links to a few things we mentioned: Heap-only tuple updates (docs)README file (source code)Heap Only Tuple chapter (Internals of PostgreSQL by Hironobu SUZUKI) How partial, covering, and multicolumn indexes may slow down UPDATEs (blog post by Nikolay) Why Uber switched from Postgres to MySQL (blog post)  Fighting write amplification with HOT updates (Adyen blog post) HOT Updates vs Bottom-Up Index Deletion (video by Lukas Fittl from pganalyze) Reduced Bloat with Bottom-Up Deletion (blog post by Hamid Akthar from Percona) What is fillfactor and how does it affect performance? (blog post by Kaarel Moppel from Cybertec)------------------------What did you like or not like? What should we discuss next time? Let us know by tweeting us on @samokhvalov / @michristofides / @PostgresFM, or by commenting on our Google doc.If you would like to share this episode, here's a good link (and thank you!)Postgres FM is brought to you by:Nikolay Samokhvalov, founder of Postgres.aiMichael Christofides, founder of pgMustardWith special thanks to:Jessie Draws for the amazing artwork 

Greg and Tim tackle E3 adding more partners, Nintendo Switch's continued dominance, and more! Time Stamps - 00:00:00 - Start 00:03:00 - Housekeeping Tonight, Me, Nick, SnowBikeMike, and Andy are headed to IGN for their Stop AAPI Hate Stream! At 7 pm PT, we'll join a cavalcade of stars to play some Fall Guys and raise some money for charity! Come watch on twitch.tv/kindafunnygames tonight! Next Tuesdays at 11AM PT right here on twitch.tv/kindafunnygames we are partnering with Razer to show off the RTX 30-series powered Blade laptops with Andy and the boys playing some Warzone Thank you to our Patreon Producers:  Black Jack & Tom Bock The Roper Report   - 00:07:21 - E3 Additions 00:17:50 - Meanwhile at Summer Game Fest, Geoff Says... 00:28:10 - Switch Sales Are Insane, Matt Purslow @ IGN 00:44:50 - Nintendo's making its own Dreams, Kat Bailey at IGN 00:50:12 -  Ad 00:51:49 - New Division Games, Deets! 00:59:10 - PlayStation Store Lawsuit, Robert Burnson @ Bloomberg 00:59:50 - PS5 Redesign Reportedly in the Works, but just the Internals, Alex Newhouse @ GameSpot 01:01:00 - Should we get hyped for Game Boost? Push Square 01:03:20 - Out today 01:05:40 - You‘re Wrong Tomorrow's Hosts: Greg and Jason Schreier