Announcing vector search for Amazon ElastiCache (1 minute read) Amazon has announced the general availability of vector search for ElastiCache, enabling customers to index, search, and update billions of vector embeddings from major AI providers with microsecond latency and up to 99% recall. The feature supports use cases like semantic caching for LLMs, RAG-based systems, recommendation engines, and anomaly detection, and is available on Valkey 8.2 clusters. | | Jenkins' Flexibility is its Greatest Strength and its Achilles Heel (7 minute read) Jenkins' challenges in enterprises stem from poor governance rather than flaws in the tool itself, as unchecked plugin sprawl, inconsistent configurations, and weak access controls create fragility and maintenance burdens. With centralized governance, automation, and compliance frameworks like those provided by CloudBees, Jenkins becomes a scalable, secure, and enterprise-grade CI/CD solution that enables faster, more reliable software delivery. | A deep dive into BPF LPM trie performance and optimization (9 minute read) A deep dive into the BPF LPM trie, a data structure crucial for network packet routing, revealed performance bottlenecks when storing millions of entries, such as entry lookup times taking hundreds of milliseconds and freeing maps locking up a CPU for over 10 seconds. Benchmarks highlighted that freeing a BPF LPM trie with 10K entries can cause soft lockup messages in production, with throughput decreasing to around 1.5 million ops/sec at 1 million entries due to L1 dcache and dTLB miss rates. | | Coral NPU (GitHub Repo) Google Research designed the Coral NPU, an open-source hardware accelerator for machine learning inferencing in low-power wearable devices, and made it freely available. Based on the 32-bit RISC-V ISA, the Coral NPU contains matrix, vector (SIMD), and scalar processor components. | WinBoat (GitHub Repo) WinBoat, an Electron app currently in beta, enables users to run Windows applications on Linux using a containerized approach with a Windows VM inside a Docker container. FreeRDP is used with Windows' RemoteApp protocol for compositing applications as native OS-level windows. | | Leveling up your deployment pipelines (7 minute read) Organizations typically evolve their internal developer platforms through three stages: deployment, secure, and DevOps pipelines, each adding automation, security, and productivity features. This progression forms a practical maturity model where teams first automate delivery, then integrate security, and finally enhance developer experience through documentation, infrastructure automation, and one-click setup. | GitHub Copilot CLI: How to get started (6 minute read) GitHub Copilot CLI brings AI assistance directly to the terminal, allowing developers to clone repositories, debug, manage dependencies, and even open pull requests without leaving the command line. It integrates seamlessly with GitHub accounts, supports secure command approvals, and can be extended with MCP servers to fit custom workflows. | The LinkedIn Generative AI Application Tech Stack: Extending to Build AI Agents (10 minute read) LinkedIn's generative AI application tech stack was updated to improve AI agents by enabling them to think, plan, and act with users, with the Hiring Assistant being globally available in English by the end of September. Key to this development were defining agents through gRPC service schema definitions and leveraging LinkedIn's messaging system for multi-agent orchestration. Agent interactions were also engineered to be seamless, and a hybrid observability strategy was adopted for agent development. | | | Love TLDR? Tell your friends and get rewards! | | Share your referral link below with friends to get free TLDR swag! | | | | Track your referrals here. | | Want to advertise in TLDR? 📰 If your company is interested in reaching an audience of devops professionals and decision makers, you may want to advertise with us. Want to work at TLDR? 💼 Apply here or send a friend's resume to jobs@tldr.tech and get $1k if we hire them! If you have any comments or feedback, just respond to this email! Thanks for reading, Kunal Desai & Martin Hauskrecht | | | |
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