Podcasts about foundationdb

Dans cet épisode on revient sur FoundationDB. FoundationDB est le socle de beaucoup de services (Icloud, Snowflake...) mais reste peu connue.Qui de mieux que l'équipe de spécialistes de Clever cloud qui l'a utilisé pour construire ses "Databases as a Service" pour en parler ?  C'est donc un épisode conjoint avec leur podcast "Message à Caractère informatique" que vous retrouvez ici.Show notes de l'épisode : https://bigdatahebdo.com/podcast/episode-209-foundationdb-labrique-elementaire-----------------Cette publication est sponsorisée par Datatask (https://datatask.io/) et CerenIT (https://www.cerenit.fr/) .CerenIT (https://www.cerenit.fr/) vous accompagne pour concevoir, industrialiser ou automatiser vos plateformes mais aussi pour faire parler vos données temporelles. Ecrivez nous à contact@cerenit.fr (https://cerenit.fr) et retrouvez-nous aussi au Time Series France (https://www.timeseries.fr/) .Datatask (https://datatask.io/) vous accompagne dans tous vos projets Cloud et Data, pour Imaginer, Expérimenter et Executer vos services ! Consultez le blog de Datatask (https://datatask.io/blog/) pour en savoir plus. Le générique a été composé et réalisé par Maxence Lecointe

Dans cet épisode on revient sur FoundationDB. FoundationDB est le socle de beaucoup de services (Icloud, Snowflake...) mais reste peu connue.Qui de mieux que l'équipe de spécialistes de Clever cloud qui l'a utilisé pour construire ses "Databases as a Service" pour en parler ?  C'est donc un épisode conjoint avec leur podcast "Message à Caractère informatique" que vous retrouvez ici.Show notes de l'épisode : https://bigdatahebdo.com/podcast/episode-208-aux-sources-de-foundationdb-feat-maci-----------------Cette publication est sponsorisée par Datatask (https://datatask.io/) et CerenIT (https://www.cerenit.fr/) .CerenIT (https://www.cerenit.fr/) vous accompagne pour concevoir, industrialiser ou automatiser vos plateformes mais aussi pour faire parler vos données temporelles. Ecrivez nous à contact@cerenit.fr (https://cerenit.fr) et retrouvez-nous aussi au Time Series France (https://www.timeseries.fr/) .Datatask (https://datatask.io/) vous accompagne dans tous vos projets Cloud et Data, pour Imaginer, Expérimenter et Executer vos services ! Consultez le blog de Datatask (https://datatask.io/blog/) pour en savoir plus. Le générique a été composé et réalisé par Maxence Lecointe

An airhacks.fm conversation with Jonathan Ellis (@spyced) about: discussion of JVector, a Java-based vector search engine, Apache Kudu as an alternative to Cassandra for wide-column databases, FoundationDB - is a NoSQL database, explanation of vectors and embeddings in machine learning, different embedding models and their dimensions, the Hamming distance, binary quantization and product quantization for vector compression, DiskANN algorithm for efficient vector search on disk, optimistic concurrency control in JVector, challenges in implementing academic papers, the Neon database, JVector's performance characteristics and typical database sizes, advantages of astra DB over Cassandra, separation of compute and storage in cloud databases, Vector's use of Panama and SIMD instructions, the potential for contributions to the JVector project, Upstash uses of JVector for their vector search service, the cutting-edge nature of JVector in the Java ecosystem, the logarithmic performance of JVector for index construction and search, typical search latencies in the 30-50 millisecond range, the young and rapidly evolving field of vector search, the self-contained nature of the JVector codebase Jonathan Ellis on twitter: @spyced

Welcome to another episode of Category Visionaries — the show that explores GTM stories from tech's most innovative B2B founders. In today's episode, we're speaking with Will Wilson, Co-Founder of Antithesis, an autonomous testing platform that's raised $47 Million in funding. Here are the most interesting points from our conversation: Origins and Motivation: Antithesis was born from the frustration of debugging and testing software, an experience shared by Will and his co-founder from their days at FoundationDB and Google. Early Challenges: Building Antithesis required redefining foundational aspects of computing, including developing a unique hypervisor for virtual machines. Stealth Mode Strategy: The company stayed in stealth for an extended period, allowing them to refine their product while creating an aura of exclusivity in Silicon Valley. Content-Driven Marketing: Antithesis has never paid for ads, relying instead on engaging, technical blog posts and nostalgic videos of Nintendo games to attract their developer audience. Creating a New Category: Will emphasizes that autonomous testing is a new category, with Antithesis aiming to eliminate manual software testing and improve developer productivity.  Developer Trust: Building trust with developers involves transparency about product limitations and a straightforward, no-hype approach.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io   The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co  

Dave Ackley's paper Beyond Efficiency is three pages long. With just these three pages, he mounts a compelling argument against the conventional way we engineer software. Instead of inflexibly insisting upon correctness, maybe allow a lil slop? Instead of chasing peak performance with cache and clever tricks, maybe measure many times before you cut. So in this episode, we're putting every CEO in the guillotine… (oh, that stands for "correctness and efficiency only", don't put us on a list)… and considering when, where, and how to do the robust thing. Links $ patreon.com/futureofcoding — The most recent bonus episode is a discussion with Stefan Lesser about new "laws of physics" we can invent inside the computer. Don't destroy the earth, then make sure your thing can't be destroyed, then don't destroy your data, and finally, do your damn job, AAAAAAAAAAAAAAAAAAAAAAAAAAA. A Software Epiphany, and the accompanying HN discussion — giga viral, so sick PartyKit? Nice! What started as a simple todo list turned into an ocean of tech boy milk and, ultimately, the AI apocalypse. Jepsen is a rough, rugged, deeply thoughtful and fantastically cool approach to distributed systems testing, by Kyle Kingsbury. Also, we didn't talk about it, but his reversing / hexing / typing / rewriting / unifying technical interview series is essential reading. Ivan's examples of robustness vs efficiency were RAID, the CAP theorem, Automerge, the engineering of FoundationDB, and Byzantine fault tolerance— all of which stake out interesting territory in the efficiency/robustness tradeoff spectrum, all of which are about distributed systems. Can programming be liberated from the von Neumann style?, a paper by John Backus. We Don't Really Know How to Compute!, a talk by Gerald Sussman. The Robust-First Computing Creed is rock solid. The Wikipedia article on von Neumann architecture did not come through with the goods. Ivan works with Alex Warth now, and thus may fairly speak in half-truths like "I've been working with constraints recently…" The Demon Hoard Sort Bogosort is never coming to Dreamberd The Witness was made by Jonathan Blow, who has Aphantasia, but he also made a game called Braid, and Braid is good. Datamosh is a creative misuse of the lack of robustness that comes from storing diffs instead of full state snapshots. Here's a lovely gallery of examples. Abstraction by xkcd Reverse Engineering the source code of the BioNTech/Pfizer SARS-CoV-2 Vaccine Can't let Lu get through the above without derailing onto Fiverr, PCP, Fight Club, and the Dust Brothers. Randy Newman was nearly quoted in Ackley's Indefinite Scalability for Living Computation — god help you if you read our show notes and don't listen to the episode. "It is difficult", says Upton Sinclair when asked about Jimmy Miller being Jimmy Miller, and how we all ought to approach our own sense of Jimmy Miller. Music featured in this episode: Hawker News by user: spiralganglion Corporate World by the Dust Brothers No more jokes! Find us at these normal places: Ivan: Mastodon • Website Jimmy: Mastodon • Website Lu: Mastodon • Website Dave: Mastodon • Website Send us email, share your ideas in our Slack, and support the show on Patreon. Yes, do all three please.See omnystudio.com/listener for privacy information.

In this episode, We spoke with the founders of WarpStream Labs, Richard Artoul and Ryan Worl. WarpStream is a fascinating rethink of Kafka -- how could you simplify and improve the Kafka design by slightly tweaking your constraints? The result is very compelling -- a Kafka-compatible API that bypasses local disk by writing everything directly to S3. For the tradeoff of a slightly higher end-to-end latency, you can get a Kafka cluster that's much cheaper and way easier to operate. Richie and Ryan have been working on high-scale data systems for years and were the engineers behind Husky, Datadog's custom-built database for logs and metrics. In this episode, they walk us through their experience building WarpStream. They touch on all the hard parts of building your own system (including why it's gotten easier!), as well as some of the difficult problems they had to solve for full compatibility with existing Kafka client libraries. They also touch on using FoundationDB, their thoughts on S3 Express One Zone, and whether AWS's cross-AZ network costs are a scam. Lots of interesting thoughts here from a really sharp team.

Guest: Bob Muglia, “The Datapreneurs” Co-Author and Former Snowflake CEOLongtime Microsoft executive and former Snowflake CEO Bob Muglia was done with his book about using data to drive the digital economy — and then ChatGPT came out. “The timeline for artificial intelligence moved in by 50 years in my head,” he recalls. Bob then told his co-author Steve Hamm that they needed to update “The Datapreneurs” to focus more on AI. “For the first time, we have intelligence in a computer,” he says. “English has become the primary programming interface of 2023!”In this episode, Bob and Joubin discuss weekly meetings, Amazon's values, the tech industry's Yoda, antitrust lawsuits, the media and Bill Gates, tangling with Andy Jassy, gold rush times, FoundationDB, executive coaches, firing people faster, leaders vs. managers, deepfakes, and the zeroth law of robotics.In this episode, we cover: Bob's post-Snowflake career (00:57)  How he advises startup CEOs (04:12)  Getting fired by Steve Ballmer, twice (09:36)  Why didn't he quit? (14:09) Satya Nadella (16:09) Immigrant families and early jobs (17:21) United States v. Microsoft Corp. (21:14) “It may be shit, but it's compliant shit” (25:26)  Antitrust is not about the law (29:18)  Rose-colored memories (33:01) Competing with Microsoft and Amazon (34:41) Two years at Juniper (37:45) Transitioning into Snowflake (39:38) Earning credibility (42:32) Chris Degnan, Snowflake's first sales rep (45:07) Near-death experiences (50:05) Finding traction & taking off (55:33) Surprising challenges (01:00:55) Fired, again (01:02:16) Tough feedback (01:07:01) “The Datapreneurs” and the AI acceleration (01:09:19) Optimism about the future (01:13:36) The Terminator and Isaac Asimov (01:17:48) Links: Connect with Bob Twitter LinkedIn Buy “The Datapreneurs” Connect with Joubin Twitter LinkedIn Email: grit@kleinerperkins.com  Learn more about Kleiner Perkins This episode was edited by Eric Johnson from LightningPod.fm

Welcome to Code Completion, Episode 136! We are a group of iOS developers and educators hoping to share what we love most about development, Apple technology, and completing your code! Follow us @CodeCompletion (https://mastodon.social/@CodeCompletion) on Mastodon to hear about our upcoming livestreams, videos, and other content. Today, we discuss: - Subreddits are boycotting Reddit: - Apollo shutting down (https://mastodon.social/@christianselig/110509739563895220) - Reddit management are bullies (https://mastodon.social/@colincornaby/110515599889615866) - Snazzy Labs Interview (https://www.youtube.com/watch?v=Ypwgu1BpaO0) - The AMA (https://www.reddit.com/r/reddit/comments/145bram/addressing_the_community_about_changes_to_our_api/) - Reddark (https://reddark.untone.uk/) - Pixel Pals (https://apps.apple.com/de/app/pixel-pals-widget-activity/id6443919232?l=en) - Reddit down as well (https://infosec.exchange/@0xabad1dea/110531914212305714) - Oh Crap screens (https://tapbots.social/@paul/110510673677468430) - Steve Troughton-Smith (https://mastodon.social/@stroughtonsmith/110511670373637050) - New Mac Reviews: - Six Colors on 15” MacBook Air (https://sixcolors.com/post/2023/06/15-inch-macbook-air-review-sometimes-bigger-is-better/) - Six Colors on Mac Studio (https://sixcolors.com/post/2023/06/m2-ultra-mac-studio-review-top-of-the-line/) - Missing Mac Pro Reviews? - PCIe is on a switch (https://social.treehouse.systems/@marcan/110493753318915064) - Game porting toolkit (https://developer.apple.com/wwdc23/10123) - Could Vision Pro launch on January 24th? - Steve Troughton-Smith (https://mastodon.social/@stroughtonsmith/110511527580595001) - Supports dozens of windows (https://hachyderm.io/@GalenFaidley/110500558706959947) - [iPhone could capture 3D moments soon? https://mastodon.social/@dimitribouniol/110510594056732229) - Live from WWDC: - Under the Radar (https://mastodon.social/@_Davidsmith/110515524448609088) - Talk Show (https://www.youtube.com/watch?v=DgLrBSQ6x7E) - Upgrade (https://www.youtube.com/watch?v=5rZEDJ5kuxw) - Optimistic outlooks for Stage Manager? - Federico Viticci (https://mastodon.macstories.net/@viticci/110500490248761136) - Read text on Vision Pro! - Dynamic Content Scaling (https://developer.apple.com/wwdc23/10095) - Swift Evolution Updates: - Observability (https://forums.swift.org/t/second-review-se-0395-observability/65261) - Swift Package Index supports 5.9 - Swift Package Index Blog (https://blog.swiftpackageindex.com/posts/supporting-swift-59) - Macros implemented in libraries in Xcode, but your own are simple tools that get run: - Helge Hess (https://mastodon.social/@helge/110531639785352309) - Xcode Code Completion is significantly improved: - Natalia Panferova (https://nilcoalescing.com/blog/ParameterPermutationsInXcode15Autocomplete/) - Xcode Logging is as well, though be careful with tests: - Kishikawa Katsumi (https://hachyderm.io/@kishikawakatsumi/110522749848944806) - Use OSLog (https://mastodon.social/@a_grebenyuk/110493799017706672) - Xcode Bookmarks are awesome: - Dimitri on Mastodon (https://mastodon.social/@dimitribouniol/110524536102633356) - Developer Disk Images got an upgrade: - Riley Testut (https://mastodon.social/@rileytestut/110510541994880950) - Device Debugging is much faster: - Gui Rambo (https://mastodon.social/@_inside/110499753788672594) - Documentation in 2023: - David Smith (https://mastodon.social/@_Davidsmith/110531255501403770) - Custom video decoders are back for the Mac: - MediaExtensions (https://developer.apple.com/documentation/mediaextension) - Perian (https://www.perian.org) - macOS menus are finally Cocoa-native: - Rosyna Keller (https://mastodon.social/@rosyna/110500467396450637) - Split views are also nicer (https://mastodon.social/@marioguzman/110493730121027313) - iCloud Passwords are sharable with many groups: - Ricky Mondello (https://hachyderm.io/@rmondello/110515908105274634) - Security code autofill is better too (https://hachyderm.io/@rmondello/110497384755732688) - CloudKit got some updates: - Sync now happens even if iCloud Drive is disabled (https://mjtsai.com/blog/2023/06/09/cloudkit-and-the-icloud-drive-switch/) - Tim Mahoney on CKSyncEngine (https://mastodon.cloud/@_tim______/110498583049783154) - FoundationDB (https://developer.apple.com/wwdc23/10164) - Indirect input events are now implicitly supported: - Steve Moseley (https://mastodon.social/@moseley/110511953726351726) - More (https://mastodon.social/@moseley/110511958494002364) - iOS Keyboard is now rendered out of process: - Sean Heber (https://mastodon.social/@bigzaphod/110515559633231522) - Shaders in SwiftUI: - Miguel de Icaza (https://mastodon.social/@Migueldeicaza/110494255036815900) - Adam Bell (https://mastodon.social/@b3ll/110494613121773805) - Code Completion Tip: - @_disfavoredOverload in SwiftUI (https://www.thomasdurand.fr/ios/swiftui/swiftui-retrocompatibility-with-disfavored-overload/) - #if compiler (https://mastodon.social/@dimitribouniol/110521435086085814) - Commented Out: - Dimitri hates KeyPaths Your hosts for this week: * Spencer Curtis (https://mastodon.social/@SpencerCCurtis) * Dimitri Bouniol (https://mastodon.social/@DimitriBouniol) Be sure to also sign up to our monthly newsletter (https://codecompletion.io/), where we will recap the topics we discussed, reveal the answers to #CompleteTheCode, and share even more things we learned in between episodes. You are what makes this show possible, so please be sure to share this with your friends and family who are also interested in any part of the app development process. Sponsor This week's episode of Code Completion is brought to you by Huuungry. Search for Huuungry on the iOS App Store today to give it a try: https://apps.apple.com/app/apple-store/id1448552588?pt=14724&ct=CodeCompletion1&mt=8

Summary Five years of hosting the Data Engineering Podcast has provided Tobias Macey with a wealth of insight into the work of building and operating data systems at a variety of scales and for myriad purposes. In order to condense that acquired knowledge into a format that is useful to everyone Scott Hirleman turns the tables in this episode and asks Tobias about the tactical and strategic aspects of his experiences applying those lessons to the work of building a data platform from scratch. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you're ready to build your next pipeline, or want to test out the projects you hear about on the show, you'll need somewhere to deploy it, so check out our friends at Linode. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/linode (https://www.dataengineeringpodcast.com/linode) today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services. And don't forget to thank them for their continued support of this show! Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan's active metadata capabilities. Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Go to dataengineeringpodcast.com/atlan (https://www.dataengineeringpodcast.com/atlan) today to learn more about how Atlan's active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Struggling with broken pipelines? Stale dashboards? Missing data? If this resonates with you, you're not alone. Data engineers struggling with unreliable data need look no further than Monte Carlo, the leading end-to-end Data Observability Platform! Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo monitors and alerts for data issues across your data warehouses, data lakes, dbt models, Airflow jobs, and business intelligence tools, reducing time to detection and resolution from weeks to just minutes. Monte Carlo also gives you a holistic picture of data health with automatic, end-to-end lineage from ingestion to the BI layer directly out of the box. Start trusting your data with Monte Carlo today! Visit dataengineeringpodcast.com/montecarlo (http://www.dataengineeringpodcast.com/montecarlo) to learn more. Your host is Tobias Macey and today I'm being interviewed by Scott Hirleman about my work on the podcasts and my experience building a data platform Interview Introduction How did you get involved in the area of data management? Data platform building journey Why are you building, who are the users/use cases How to focus on doing what matters over cool tools How to build a good UX Anything surprising or did you discover anything you didn't expect at the start How to build so it's modular and can be improved in the future General build vs buy and vendor selection process Obviously have a good BS detector - how can others build theirs So many tools, where do you start - capability need, vendor suite offering, etc. Anything surprising in doing much of this at once How do you think about TCO in build versus buy Any advice Guest call out Be brave, believe you are good enough to be on the show Look at past episodes and don't pitch the same as what's been on recently And vendors, be smart, work with your customers to come up with a good pitch for them as guests... Tobias' advice and learnings from building out a data platform: Advice: when considering a tool, start from what are you actually trying to do. Yes, everyone has tools they want to use because they are cool (or some resume-driven development). Once you have a potential tool, is the capabilty you want to use a unloved feature or a main part of the product. If it's a feature, will they give it the care and attention it needs? Advice: lean heavily on open source. You can fix things yourself and better direct the community's work than just filing a ticket and hoping with a vendor. Learning: there is likely going to be some painful pieces missing, especially around metadata, as you build out your platform. Advice: build in a modular way and think of what is my escape hatch? Yes, you have to lock yourself in a bit but build with the possibility of a vendor or a tool going away - whether that is your choice (e.g. too expensive) or it literally disappears (anyone remember FoundationDB?). Learning: be prepared for tools to connect with each other but the connection to not be as robust as you want. Again, be prepared to have metadata challenges especially. Advice: build your foundation to be strong. This will limit pain as things evolve and change. You can't build a large building on a bad foundation - or at least it's a BAD idea... Advice: spend the time to work with your data consumers to figure out what questions they want to answer. Then abstract that to build to general challenges instead of point solutions. Learning: it's easy to put data in S3 but it can be painfully difficult to query it. There's a missing piece as to how to store it for easy querying, not just the metadata issues. Advice: it's okay to pay a vendor to lessen pain. But becoming wholly reliant on them can put you in a bad spot. Advice: look to create paved path / easy path approaches. If someone wants to follow the preset path, it's easy for them. If they want to go their own way, more power to them, but not the data platform team's problem if it isn't working well. Learning: there will be places you didn't expect to bend - again, that metadata layer for Tobias - to get things done sooner. It's okay to not have the end platform built at launch, move forward and get something going. Advice: "one of the perennial problems in technlogy is the bias towards speed and action without necessarily understanding the destination." Really consider the path and if you are creating a scalable and maintainable solution instead of pushing for speed to deliver something. Advice: consider building a buffer layer between upstream sources so if there are changes, it doesn't automatically break things downstream. Tobias' data platform components: data lakehouse paradigm, Airbyte for data integration (chosen over Meltano), Trino/Starburst Galaxy for distributed querying, AWS S3 for the storage layer, AWS Glue for very basic metadata cataloguing, Dagster as the crucial orchestration layer, dbt Contact Info LinkedIn (https://www.linkedin.com/in/scotthirleman/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ () covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Data Mesh Community (https://datameshlearning.com/community/) Podcast (https://www.linkedin.com/company/80887002/admin/) OSI Model (https://en.wikipedia.org/wiki/OSI_model) Schemata (https://schemata.app/) Podcast Episode (https://www.dataengineeringpodcast.com/schemata-schema-compatibility-utility-episode-324/) Atlan (https://atlan.com/) Podcast Episode (https://www.dataengineeringpodcast.com/atlan-data-team-collaboration-episode-179/) OpenMetadata (https://open-metadata.org/) Podcast Episode (https://www.dataengineeringpodcast.com/openmetadata-universal-metadata-layer-episode-237/) Chris Riccomini (https://daappod.com/data-mesh-radio/devops-for-data-mesh-chris-riccomini/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

https://go.dok.community/slack https://dok.community/ From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE) FoundationDB is an open-source distributed transactional Key-Value store that is used by multiple companies like Apple, Snowflake and VMWare Tanzu (previously Wavefront). This talk will cover the design of the FoundationDB operator and lessons learned from operating FoundationDB on Kubernetes. We will discuss some of the missing pieces in Kubernetes to make it easier to operate FoundationDB on top of it and how we solved those challenges in the operator. We will focus on the pieces of the FoundationDB operator that are different to most other operators and why we decided to implement those pieces like they are. We will also discuss how to run an high available FoundationDB cluster on top of Kubernetes and what different choices a user has. We will also cover some challenges that arise when running stateful services at scale on top of Kubernetes and how they can be managed. At the end of this talk we will give an outlook for future design changes and planned features in our operator. The main take-away from this talk is to understand how to run and operate FoundationDB on Kubernetes. Johannes started his journey in the Kubernetes eco-system in early 2015, onboarding projects and applications onto Kubernetes. Since 2020 Johannes works as an SRE for FoundationDB at Apple and is co-leading the development of the open source FoundationDB operator.

В этом выпуске: как MacOS менеджит ядра M1, прошлое настоящее и будущее I/O в PostgreSQL, пытаемся разобраться в Spectre (и не сильно в этом преуспеваем), а также что нового в FoundationDB 7.0, зачем Rust’у статический анализатор, и зачем нужен GPSS. [00:02:07] Чему мы научились за неделю [00:19:04] [в закладки] How macOS manages M1 CPU cores… Читать далее →

Все сошли с ума: Саша сходит с ума, отправляется во времена Императора Николая II и щекочет себя гусиным пером; Докер сошли с ума и стреляют по ногам из TOS; HarperDB сошли с ума и получилось, что получилось; Вы непременно сойдёте с ума попытавшись разобраться в многообразии и взаимодействиях всех компонент FoundationDB. Шоуноты: [00:01:41] Чему мы… Читать далее →

Dans le radar des cool vendorsEpisode de News enregistré le 06/11/2020 par Nicolas Steinmetz et Vincent HeuschlingShownotes complètes sur : https://trkit.io/s/BDHEP112

CouchDB is a distributed document database built for scale and ease of operation. With a built-in synchronization protocol and a HTTP interface it has become popular as a backend for web and mobile applications. Created 15 years ago, it has accrued some technical debt which is being addressed with a refactored architecture based on FoundationDB. In this episode Adam Kocoloski shares the history of the project, how it works under the hood, and how the new design will improve the project for our new era of computation. This was an interesting conversation about the challenges of maintaining a large and mission critical project and the work being done to evolve it.

Foundation DBhttps://github.com/apple/foundationdb/wiki/FoundationDB-Release-7.0-Planninghttps://pierrezemb.fr/posts/notes-about-foundationdb-------------------------------------------------------------DevFest du Bout du Monde 2020The DevFest, or 'Developers Festival', is a technical conferences for software developers. It is aimed to students, profesionals or simply curious technophile.https://devfest.duboutdumonde.bzh/-------------------------------------------------------------OvhCloud / Datahttps://www.ovhcloud.com/fr/public-cloud/data-analytics/-------------------------------------------------------------Lisez le blog d'Affini-Techhttp://blog.affini-tech.com-------------------------------------------------------------http://www.bigdatahebdo.com https://twitter.com/bigdatahebdo-------------------------------------------------------------Steven : https://twitter.com/GwinizDuPierre : https://twitter.com/PierreZVincent : https://twitter.com/vhe74Nicolas : https://www.cerenit.fr/ et https://twitter.com/_CerenIT et https://twitter.com/nsteinmetz -------------------------------------------------------------Cette publication est sponsorisée par Affini-Tech et CerenitBesoin de concevoir, d'industrialiser ou d'automatiser vos plateformes ? Ecrivez nous à contact@cerenit.fr( https://www.cerenit.fr/ et https://twitter.com/_CerenIT )Affini-Tech vous accompagne dans tous vos projets Cloud et Data, pour Imaginer, Expérimenter et Executer vos services ! ( http://affini-tech.com https://twitter.com/affinitech )On recrute ! venez cruncher de la data avec nous ! écrivez nous à recrutement@affini-tech.com----------------------------------------------------------------

Foundation DBhttps://github.com/apple/foundationdb/wiki/FoundationDB-Release-7.0-Planninghttps://pierrezemb.fr/posts/notes-about-foundationdb-------------------------------------------------------------DevFest du Bout du Monde 2020The DevFest, or 'Developers Festival', is a technical conferences for software developers. It is aimed to students, profesionals or simply curious technophile.https://devfest.duboutdumonde.bzh/-------------------------------------------------------------OvhCloud / Datahttps://www.ovhcloud.com/fr/public-cloud/data-analytics/-------------------------------------------------------------Lisez le blog d'Affini-Techhttp://blog.affini-tech.com-------------------------------------------------------------http://www.bigdatahebdo.com https://twitter.com/bigdatahebdo-------------------------------------------------------------Steven : https://twitter.com/GwinizDuPierre : https://twitter.com/PierreZVincent : https://twitter.com/vhe74Nicolas : https://www.cerenit.fr/ et https://twitter.com/_CerenIT et https://twitter.com/nsteinmetz -------------------------------------------------------------Cette publication est sponsorisée par Affini-Tech et CerenitBesoin de concevoir, d'industrialiser ou d'automatiser vos plateformes ? Ecrivez nous à contact@cerenit.fr( https://www.cerenit.fr/ et https://twitter.com/_CerenIT )Affini-Tech vous accompagne dans tous vos projets Cloud et Data, pour Imaginer, Expérimenter et Executer vos services ! ( http://affini-tech.com https://twitter.com/affinitech )On recrute ! venez cruncher de la data avec nous ! écrivez nous à recrutement@affini-tech.com----------------------------------------------------------------

FoundationDB is a multi-model distributed key-value store. It is fully ACID compliant and horizontally scalable. FoundationDB is not usually used directly by an application developer–FoundationDB is a foundational building block for higher level distributed systems such as the metadata store for data warehousing tool Snowflake. Ryan Worl is a software engineer who specializes in FoundationDB. The post FoundationDB with Ryan Worl appeared first on Software Engineering Daily.

The database market continues to expand, offering systems that are suited to virtually every use case. But what happens if you need something customized to your application? FoundationDB is a distributed key-value store that provides the primitives that you need to build a custom database platform. In this episode Ryan Worl explains how it is architected, how to use it for your applications, and provides examples of system design patterns that can be built on top of it. If you need a foundation for your distributed systems, then FoundationDB is definitely worth a closer look.

ZFS on Linux is becoming the official upstream project of all major ZFS implementations, even the BSDs. But recent kernel changes prevent ZFS from even building on Linux. Neal Gompa joins us to discuss why it all matters. Plus some surprising community news, and a few great picks! Special Guests: Dalton Durst and Neal Gompa.

Bienvenue dans le cent-quatre-vingt-douzième épisode de CacaoCast! Dans cet épisode, Philippe Casgrain et Philippe Guitard discutent des sujets suivants: iOS - iOS11 et support iPhone X obligatoires Microsoft App Store - Mieux que le 30% d’Apple FoundationDB - Maintenant en logiciel ouvert! SwiftNIO - Un framework de réseautage multi-plateforme (Vidéo de SwiftTokyo) Files.app - Ouvrez directement les documents de votre application Curseurs Xcode - Une modification cachée Aperçu - Une astuce pour annoter avec les flèches BonjourBrowser - Maintenant Discovery 2.0 SlackTyping - Pour embêter vos collègues? Ecoutez cet épisode

This week we are joined by Marin Todorov to discuss his new book and apps. We follow up on Flight School's meaning, an iPad screen protector vendor leaks the 2018 model, downloading your Google profile and Marin relays European ISP experiences. The last Apple Watch boutique is closing. We also follow up on Susan Kare: the woman who gave the Mac its smile. We discuss the new trade-in program with Apple GiveBack, Daisy: Apple’s new iPhone-recycling robot, FoundationDB is Open Source and Marin's book - Realm: Building Modern Swift Apps with Realm Database. Picks: 5 Useful 3D Touch Features for iPhone, Snipetty, Bringing Objective-C to the Amiga, How to build your own Alexa skills with the new Alexa Blueprints, Xcode Treasures: Master the Tools to Design, Build, and Distribute Great Apps, Mixpanel v. 3.3.0 - opt in/out at run time Special Guest: Marin Todorov.

Wow, lots of interesting news in the world of Apple today (except for AAPL's share price tanking, but...) -- Apple's environmental report for 2017 shows significant progress, FoundationDB goes open source, there's good news for snorers, and don't tear apart an iMac Pro and expect Apple to repair it... Apple is making good progress on all environmental fronts, including a goal to plan to eventually eliminate the need for mining for materials for its products Apple's FoundationDB is now open source, so perhaps developers can add the Dropbox-like sharing functionality to it that we need Keep waking up your partner with your snoring? Sleep Cycle will now wake you up with a tap on the wrist from an Apple Watch, so you can change position and hopefully stop snoring A YouTube vlogger is griping that Apple won't repair the iMac Pro that he tore apart for an online review --- Support this podcast: https://anchor.fm/tangible-tech/support