The BBC on Mastodon: experimenting with distributed and decentralised social media
The BBC on Mastodon: experimenting with distributed and decentralised social media Posted by Tristan Ferne on 31 Jul 2023, last updated 31 Jul 2023 As the social media landscape ebbs and flows, the team at BBC Research & Development are researching social technologies and exploring possibilities for the BBC. One part of our work is to establish a BBC presence in the distributed collection of socia
分散トレーシングとOpenTelemetryのススメ / Getting started distributed tracing and OpenTelemetry
OCHaCafe Season7 の LT 資料です。 https://ochacafe.connpass.com/event/282817/
Firefoxにプライバシーを保護しつつブラウザ使用状況を集めるシステム「Oblivious HTTP(OHTTP)」と「Distributed Aggregation Protocol(DAP)」が導入される予定
Mozillaがプライバシーを保護しつつブラウザ使用状況を収集するためにプライバシー保護技術「Oblivious HTTP(OHTTP)」と「Distributed Aggregation Protocol(DAP)」をFirefoxに導入することを発表しました。同時に、OHTTPとDAPを実装するためにテクノロジー企業「Fastly」やInternet Security Research Group(ISRG)傘下の「Divvi Up」と協力することも発表されています。 Built for Privacy: Partnering to Deploy Oblivious HTTP and Prio in Firefox https://blog.mozilla.org/en/products/firefox/partnership-ohttp-prio/ Firefox and Fastl
GitHub - Eventual-Inc/Daft: Distributed DataFrame for Python designed for the cloud, powered by Rust
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新しく公開された Distributed Load Testing on AWS (DLT) ワークショップを試した - kakakakakku blog
負荷テストを実行したいけど，ラップトップや Amazon EC2 インスタンス1台から実行すると負荷テストを実行する側がボトルネックになってしまって，期待した負荷テストにならないという悩みはよくあると思う🔥 そこで負荷テスト専用の SaaS などを活用して負荷テストを実現する案もあるけど，AWS では「AWS ソリューションライブラリ（サービスではない）」として負荷テストを実行・管理する「Distributed Load Testing on AWS (DLT)」が提供されている❗️ aws.amazon.com 僕自身は2年ほど前に Distributed Load Testing on AWS (DLT) を検証したことがあるけど，最近 Distributed Load Testing on AWS (DLT) を体験するワークショップ（日本語🇯🇵）が公開されたらしく，復習も兼ね
オラクル、シャーディングを利用したグローバルな分散DBの新サービス「Oracle Globally Distributed Autonomous Database」正式サービス開始
オラクル、シャーディングを利用したグローバルな分散DBの新サービス「Oracle Globally Distributed Autonomous Database」正式サービス開始 オラクルはデータベースを複数のシャードに分割し、それぞれをグローバルに分散させつつ全体を1つの論理的なデータベースとして扱えるOracle Cloudの新サービス「Oracle Globally Distributed Autonomous Database」を正式サービスとして提供開始しました。 Find out how you can more easily address data sovereignty requirements and achieve the highest possible scale and availability with @Oracle Globally Distribute
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GitHub - microsoft/retina: eBPF distributed networking observability tool for Kubernetes
Retina is a cloud-agnostic, open-source Kubernetes network observability platform that provides a centralized hub for monitoring application health, network health, and security. It provides actionable insights to cluster network administrators, cluster security administrators, and DevOps engineers navigating DevOps, SecOps, and compliance use cases. Retina collects customizable telemetry, which c
Retrieval Augmented Generation at scale — Building a distributed system for synchronizing and…
Disclaimer: We will go into some technical and architectural details of how we do this at Neum AI — A data platform for embeddings management, optimization, and synchronization at large scale, essentially helping with large-scale RAG. As we’ve shared in other blogs in the past, getting a Retrieval Augmented Generation (RAG) application started is pretty straightforward. The problem comes when tryi
FoundationDB: A Distributed Key-Value Store – Communications of the ACM
CACM Web Account Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Sign In Sign Up FoundationDB is an open-source transactional key-value store created more than 10 years ago. It is one of the first systems to combine the flexibility and scalability of NoSQL architect
Update on apps distributed in the European Union - Support - Apple Developer
Introduction Apple is sharing changes to iOS, Safari, and the App Store, impacting developers’ apps in the European Union (EU) to comply with the Digital Markets Act (DMA). These changes create new options for developers, including how they can distribute apps on iOS, process payments, use web browser engines in iOS apps, request interoperability with iPhone and iOS hardware and software features,
2024/02/07A Distributed Systems Reading ListThis document contains various resources and quick definition of a lot of background information behind distributed systems. It is not complete, even though it is kinda sorta detailed. I had written it some time in 2019 when coworkers at the time had asked for a list of references, and I put together what I thought was a decent overview of the basics of
Implementing the Raft distributed consensus protocol in Go | notes.eatonphil.com
As part of bringing myself up-to-speed after joining TigerBeetle, I wanted some background on how distributed consensus and replicated state machines protocols work. TigerBeetle uses Viewstamped Replication. But I wanted to understand all popular protocols and I decided to start with Raft. We'll implement two key components of Raft in this post (leader election and log replication). Around 1k line
GitHub - ArroyoSystems/arroyo: Distributed stream processing engine in Rust
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[re:Inforce] 組織によるセキュリティレベルの向上事例 | APS201 How AWS and MongoDB raise the security bar with distributed ownership セッションレポート #AWSreInforce | DevelopersIO
[re:Inforce] 組織によるセキュリティレベルの向上事例 | APS201 How AWS and MongoDB raise the security bar with distributed ownership セッションレポート #AWSreInforce AWS re:Inforce 2023のセッション、How AWS and MongoDB raise the security bar with distributed ownershipのレポートです。 こんにちは、菊池です。 AWS re:Inforce 2023参加中です。この記事は、セッション APS201 How AWS and MongoDB raise the security bar with distributed ownershipのレポートです。 セッション概要（公式より引用） In this se
![[re:Inforce] 組織によるセキュリティレベルの向上事例 | APS201 How AWS and MongoDB raise the security bar with distributed ownership セッションレポート #AWSreInforce | DevelopersIO](https://cdn-ak-scissors.b.st-hatena.com/image/square/c599b8acb6609a50aa4e503b6805c190c33b588e/height=288;version=1;width=512/https%3A%2F%2Fdevio2023-media.developers.io%2Fwp-content%2Fuploads%2F2023%2F06%2Freinforce-APS201-001.jpg)
GitHub - hatchet-dev/hatchet: A distributed, fault-tolerant task queue
Hatchet replaces difficult to manage legacy queues or pub/sub systems so you can design durable workloads that recover from failure and solve for problems like concurrency, fairness, and rate limiting. Instead of managing your own task queue or pub/sub system, you can use Hatchet to distribute your functions between a set of workers with minimal configuration or infrastructure: What Makes Hatchet
Temporal Python 1.0.0 – A Durable, Distributed Asyncio Event Loop
We are excited about the GA release of the Temporal Python SDK. Python is now a fully-supported workflow language in Temporal, and our use of native asyncio constructs makes it a perfect fit for Python developers looking to write durable workflows. Here are some links to read more about Temporal Python: Repository Application Development Guide Code Samples API Documentation Like essentially all of
LiteFS Cloud: Distributed SQLite with Managed Backups Author Name Darla Magdalene Shockley Author Name Ben Johnson @benbjohnson @benbjohnson Image by Annie Ruygt With Fly.io, you can get your app running globally in a matter of minutes, and with LiteFS, you can run SQLite alongside your app! Now we’re introducing LiteFS Cloud: managed backups and point-in-time restores for LiteFS—whether your app
GitHub - TimeSurgeLabs/athenadb: 🦉⚡️Serverless, distributed vector database as an API
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Load test your applications in a CI/CD pipeline using CDK pipelines and AWS Distributed Load Testing Solution | Amazon Web Services
AWS DevOps Blog Load test your applications in a CI/CD pipeline using CDK pipelines and AWS Distributed Load Testing Solution Load testing is a foundational pillar of building resilient applications. Today, load testing practices across many organizations are often based on desktop tools, where someone must manually run the performance tests and validate the results before a software release can b
AWS Step Functions の Distributed Map と再実行機能を使用した効率的な ETL パイプラインの構築 | Amazon Web Services
Amazon Web Services ブログ AWS Step Functions の Distributed Map と再実行機能を使用した効率的な ETL パイプラインの構築 AWS Step Functions は、完全マネージドのビジュアルワークフローサービスで、AWS Glue、Amazon EMR、Amazon Redshift などのさまざまな抽出・変換・読み込み (Extract, Transform, Load; ETL) テクノロジーを含む複雑なデータ処理パイプラインを構築できます。個々のデータパイプラインタスクを繋ぎ、ペイロード、リトライ、エラー処理を最小限のコードで構成することで、ワークフローを視覚的に構築できます。 Step Functions は、データパイプライン内のタスクが一時的なエラーで失敗した場合、自動リトライとエラー処理をサポートしていますが、アクセ
SQLite is fast, really fast. On a single ~40€ / m commodity server, it can sustain ~168,000 reads and ~8000 writes per second, concurrently. Because it's an embedded library designed for client-side applications such as embedded systems and phone & desktop applications, SQLite databases have to be co-located on your
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GitHub - runabol/tork: A distributed workflow engine
A Distributed Systems Reading List
LiteFS Cloud: Distributed SQLite with Managed Backups
Distributed SQLite: Paradigm shift or hype?