2026-03-30 00:00
High memory usage in PlanetScale Postgres can actually indicate a healthy system. 📊 While a dashboard may show 80% memory usage, this doesn't mean there’s a problem. Unlike CPU, high memory usage helps keep data close to the CPU for faster access. 🖥️ Postgres uses two caching layers: its own shared_buffers and the OS page cache, both designed to minimize disk reads. Effective caching leads to better performance. For further insights, check out the documentation on normal operating ranges for...
Simeon Griggs
2026-03-27 12:00
Understanding pgvector benchmarks is crucial for successful implementation. 🛠️ While pgvector allows for storing vector embeddings in Postgres, challenges arise when scaling beyond demo scenarios. A recent article highlights the importance of realistic benchmarking, especially when moving from 10,000 vectors to millions. Operational issues can surface at scale, impacting performance. Planning and understanding these factors can lead to better outcomes. 📈 #pgvector #Postgres #DataEngineering...
Naina Ananthaswamy
2026-03-27 10:27
Introducing Zero-Downtime Patching in Lakebase! 🚀 This article discusses the importance of keeping customer databases available. It highlights the new prewarming feature that ensures compute restarts are seamless and unnoticeable to users. Stay tuned for more updates on enhancing database reliability! 🔧💡 #DatabaseManagement #ZeroDowntime #Lakebase #TechUpdate #Innovation
2026-03-27 00:00
🚀 **Liberate your OpenClaw!** 🦀 Anthropic is now limiting access to Claude models for Pro/Max subscribers. However, you can keep your agents functional using open models available on Hugging Face. You have two options: 1️⃣ Use an open model via Hugging Face Inference Providers for quick access. 2️⃣ Run a local model on your hardware for enhanced privacy and control. For assistance, just direct your code to help move your agents to Hugging Face models. #OpenClaw #HuggingFace #AI...
2026-03-26 16:38
🚀 Discover how Palantir is transforming real-time map collaboration with its Gaia Follow Along mode! This innovative feature allows users to track actions on collaborative maps, enhancing decision-making in mission-critical environments. It addresses bandwidth challenges while enabling seamless teamwork, even in remote locations. Engineered with user feedback, Follow Along has evolved to support numerous users efficiently. If you're interested in tackling complex problems, explore our open...
Palantir
2026-03-26 16:38
🚀 Frontend engineering at Palantir goes beyond traditional web apps. In a recent blog, engineer Nikita discusses the complexities of rendering accurate circles on maps, crucial for military operations in polar regions. The task revealed challenges in map projections and geometry that are vital for decision-making. Map visuals must be precise; inaccuracies can lead to critical errors. This exploration showcases the importance of geospatial tools in defense contexts. 🌍🔧 #FrontendEngineering...
Palantir
2026-03-26 16:38
Palantir manages around 6,000 repositories, allowing teams to operate independently but facing coordination challenges for cross-repo changes. To tackle this, they've developed a suite of GitHub applications, including Policy-Bot and Bulldozer, which automate processes like pull request approvals and merges. These tools streamline workflows, reduce manual tasks, and enhance developer efficiency. Explore their open-source applications to improve your own workflows! 🚀🔧 #GitHub #DeveloperTools...
Palantir
2026-03-26 13:00
🚀 A recent investigation revealed that our Atlantis instance was taking 30 minutes to restart due to Kubernetes volume permission bottlenecks. By adjusting the fsGroupChangePolicy, we cut restart times down to just 30 seconds! This change saves over 600 hours annually, allowing our team to focus on important tasks instead of waiting. #Kubernetes #DevOps #Terraform #Efficiency #CloudComputing
Braxton Schafer
2026-03-26 03:15
🔍 Red Hat's Project Hummingbird introduces reproducible builds for enhanced software supply chain security. These builds allow users to verify that OCI images match their published versions, preventing undetectable tampering. Hummingbird images, designed for environments with minimal CVEs, are created in the Konflux software factory and come with an SBOM and SLSA provenance artifact. 🛠️ By using tools like cosign and podman, users can easily rebuild Hummingbird images, ensuring trust and...
Jonathan Lebon
2026-03-25 20:00
Mobile game studios are increasingly using A/B testing to enhance gameplay and monetization strategies. HARDlight has developed a robust analysis framework on Databricks that features automated statistical modeling, governed insights, and a daily-refresh dashboard. This allows for efficient experiment analytics and improved decision-making. Discover how these innovations can transform mobile gaming! 🎮📊✨ #Gaming #ABTesting #DataAnalytics #MobileGames #Databricks
2026-03-25 17:00
At Dropbox, our server monorepo is central to product development, housing multiple services and libraries. However, as it grew to 87GB, cloning the repository took over an hour, slowing our engineering processes. To tackle this, we reduced the size by 77% to 20GB, cutting cloning time to under 15 minutes. This change aims to enhance developer velocity and streamline workflows. #DeveloperExperience #Monorepo #Dropbox #TechUpdates #SoftwareDevelopment 🚀💻📦
Ishan Mishra
2026-03-25 16:00
🚗🔍 Current challenges in automotive radar processing limit machine learning engineers to outputs like radar constant false alarm rate (CFAR) instead of raw RGB images. As AI trends evolve, the need for advanced communication and compute architectures grows, especially for Level 4 autonomy. Radar continues to be essential in vehicle sensing, but true 3D/4D signal processing is often confined to edge devices. #AutomotiveTech #AI #Level4Autonomy #Radar #MachineLearning
Lachlan Dowling
2026-03-25 13:56
🚗 Lyft employs a complex system to balance rider demand and driver supply through pricing and incentives. Understanding the long-term effects of these decisions is critical. The Foundational Models team uses a two-step approach to measure "market-mediated long-term effects" based on user experiences. This involves estimating how policy changes impact negative experiences and how these experiences influence future behavior. Their methodology allows for continuous calibration of decisions,...
Iraklikhorguani
2026-03-25 13:00
🔍 Online stores often suggest products that don't match user searches, like showing women's boots for "black running shoes for winter." This issue arises from the complexity of modern product discovery systems, which analyze various signals including keyword relevance, shopper behavior, and inventory. Tensor-based ranking can improve this process by evaluating multiple signals simultaneously, allowing for a more accurate representation of product relevance. Traditional ranking methods, while...
Tim Young
2026-03-25 11:00
In the AI era, power is a key constraint for AI factories, where performance per watt is crucial. This metric defines modern AI infrastructure, impacting revenue generation. ⚡️ NVIDIA’s architectures optimize performance, increasing intelligence output per watt significantly over six generations, achieving a remarkable 1,000,000x improvement in inference throughput per megawatt. 📈 This efficiency directly enhances token throughput and revenue, making energy management vital for AI data...
Kibibi Moseley
2026-03-25 00:00
🚗💨 Eden Games has unveiled Gear.Club Unlimited 3, a high-speed arcade racer that maintains 60 fps while streaming vast environments at speeds nearing 500 km/h. Set to release on February 19, 2026, this title showcases their advanced custom rendering pipeline, debuting on the Nintendo Switch™ 2. Key challenges included ensuring stable performance and optimizing for new hardware. The team emphasizes GPU-driven rendering to enhance environment complexity without sacrificing frame rates....
2026-03-24 19:54
🚀 Introducing TurboQuant: a breakthrough in AI efficiency! This new set of quantization algorithms offers substantial compression for large language models and vector search engines. By optimizing high-dimensional vector representation, TurboQuant enhances vector search and reduces memory costs. Traditional methods often face memory overhead, but TurboQuant effectively addresses this, streamlining data processing. Learn more about the future of AI at #ICLR2026! #AI #TurboQuant...
2026-03-24 17:42
Introducing S2Vec, a groundbreaking self-supervised framework that enhances our understanding of geospatial data. 🌍 This innovation transforms complex geographic features into general-purpose embeddings, enabling the prediction of socioeconomic and environmental patterns globally. S2Vec allows AI to recognize neighborhood characteristics, improving predictions on metrics like population density and environmental impact. 📊 While it shows strong performance in socioeconomic tasks, there's room...
2026-03-24 17:01
Airbnb adapted its forecasting models during the COVID-19 pandemic to better manage unpredictable booking behaviors. 📊✈️ Initially, the models struggled as traditional patterns broke down due to fluctuating lockdowns and shifting guest preferences. In response, Airbnb separated booking volumes from lead-time compositions, creating a new framework called B-DARMA. This allowed for more accurate predictions of future travel trends. Additionally, they discovered that the changes in lead-time...
Harrison Katz
2026-03-24 15:12
🌐 In today's industrial landscape, vast amounts of data generated on-site require immediate processing. Relying on traditional cloud solutions can introduce delays and vulnerabilities. 🔍 Palantir's approach focuses on operating multiple edge devices securely and consistently without needing dedicated IT teams at every location. It emphasizes three core dimensions: Data aggregation, local processing, and automated actions. 📊 Their edge infrastructure includes five categories: Edge Compute,...
Palantir
2026-03-24 00:45
🚀 Exciting advancements in deployment processes are here! Gloria Tumushabe, Senior Software Engineer at Salesforce, shares insights on Luminary, an automation platform that transformed release workflows for AI Cloud. 🌐 By eliminating manual approval steps, Luminary enables faster deployments, reducing latency to seconds across 800 releases. This shift enhances production readiness and streamlines operations, minimizing human bottlenecks. Discover more about how automation is reshaping the...
Scott Nyberg
2026-03-23 16:00
🚦 Exciting news from PlanetScale! They introduced Database Traffic Control™, a feature aimed at preventing database overload from costly SQL queries. This post dives into how it works with Postgres. Traffic Control uses existing extensions and hooks to monitor resource usage and determine whether to allow query execution based on set rules. Learn more by checking the blog post and documentation! 📚 #DatabaseManagement #Postgres #TrafficControl #SQL #PlanetScale
Patrick Reynolds
2026-03-23 13:00
🌐 Cloudflare's new Gen 13 servers are here, featuring advanced AMD EPYC™ Turin 9965 processors and a shift to 100 GbE networking. This upgrade enhances performance with up to 2x throughput and 50% better efficiency, reducing costs in data center expansion. The architecture includes 192 cores, 768 GB memory, and 24 TB storage, all designed to meet growing traffic needs. Discover the engineering choices that drove this innovation! 💻⚙️ #Cloudflare #ServerTechnology #AMD #DataCenter #TechUpdate
Victor Hwang
2026-03-23 12:00
AI is transitioning from experimentation to production, with many enterprises holding sensitive data outside the public cloud. This includes patient records and market research, raising privacy and trust concerns. To address these issues, next-gen AI factories must adopt a zero-trust architecture. This approach ensures that trust is not assumed, using Trusted Execution Environments (TEEs) and cryptographic attestation for security. Confidential computing offers the necessary guarantees for...
Hema Bontha
2026-03-23 07:01
🚀 As LLM inference workloads increase in complexity, traditional monolithic serving processes face challenges. Disaggregated serving offers a solution by dividing the inference pipeline into distinct stages—prefill, decode, and routing—allowing for independent scaling and resource allocation. This article discusses how to deploy disaggregated inference on Kubernetes and explores various ecosystem solutions. Learn more about the differences between aggregated and disaggregated inference! 📊🔍...
Anish Maddipoti
2026-03-23 07:00
Upgrading Red Hat Advanced Cluster Management hubs can be challenging due to risks like downtime and upgrade failures. The new solution, managed cluster migration, allows for parallel hub deployment. This means a new hub version can be set up while the old one remains operational, ensuring zero disruption during the upgrade process. The migration is monitored closely, with automatic rollbacks in case of failures, making the upgrade process safer and more reliable. #RedHat #Kubernetes...
Dang Peng Liu
2026-03-23 07:00
🚀 Check out insights from our journey in developing the rh-ai-quickstart/it-self-service-agent! We explored an evaluations framework tailored for AI agents, emphasizing the need for comprehensive testing due to their inherent variability. Key stages of our evaluation journey include: 1️⃣ Manual testing with predefined conversations 2️⃣ Automated evaluations with custom metrics 3️⃣ Continuous integration for ongoing improvements Learn more about how we integrated these practices into our...
Michael Dawson
2026-03-20 22:00
At Databricks, the coSTAR framework has transformed how AI agents are deployed. By moving from two-week manual reviews to automated testing, the team can now refine and ship AI solutions in just hours. This shift enhances efficiency while maintaining code integrity. Learn how automation can streamline your processes! 🚀🔧 #AI #Automation #Databricks #SoftwareDevelopment #TechInnovation
2026-03-20 18:31
🚀 Etsy is enhancing the buyer-seller connection through its Ads Search ranking model. By introducing the Multigate Mixture of Experts (MMoE) and using add-to-cart as an auxiliary signal, they aim to better predict purchase intent. This model improvement helps surface more relevant listings for buyers while ensuring sellers reach interested customers. Stay tuned for more updates on how these changes benefit the marketplace! 🛍️✨ #Etsy #AdsInnovation #MachineLearning #Ecommerce...
Amanda Steigman
2026-03-20 18:00
🚀 The AI landscape is evolving with the rise of long-running, autonomous agents. Traditional models are being replaced by coordinated AI agents that maintain context and communicate over time. Kubernetes is emerging as the preferred platform for hosting these workloads, but new abstractions are needed. Enter the Agent Sandbox project under SIG Apps, which introduces a standardized API for stateful AI agent runtimes. Key features include strong isolation for untrusted code, efficient lifecycle...
2026-03-20 16:40
Mazda is addressing the rising call volumes in automotive service by implementing Generative AI (GenAI) for their technical operations. A lean team has developed a governed GenAI assistant using advanced technologies like RAG, Unity Catalog, and Vector Search to enhance efficiency. This initiative reflects Mazda's commitment to improving customer service and adapting to industry demands. 🔧🚗💡 #Mazda #GenAI #Automotive #CustomerService #Innovation
2026-03-20 15:37
🚀 Agentforce has transformed customer data management at Salesforce by automating the Customer Footprint process. Suvra shankha Dutta, Director of CPQ Product Management, led this initiative that cut manual work by 90%, saving 1,000 hours monthly. The integration of a cross-org aggregation engine allows sellers to access consolidated product data directly within their workflow. In just two weeks, the system generated 391 unique footprint reports, highlighting its immediate impact. Learn more...
Scott Nyberg
2026-03-20 14:00
Kubernetes networking offers flexibility but can become complex as systems scale. 🌐 Flat network security models often lead to challenges like debugging issues and enforcing compliance. This is due to a lack of manageable priorities in policies, making it hard to predict changes. 🔍 Introducing a security hierarchy can help by providing clear order and responsibility for network policies, reducing risk and improving operations. 🔒 #Kubernetes #CloudNative #NetworkSecurity #DevOps #TechTrends
Reza Ramezanpour
2026-03-20 12:04
Understanding semantic layer architecture is essential for organizations facing data consistency issues. This article explores its core components, design patterns, and differences between modern and traditional approaches. It also highlights how semantic layers enhance AI agents and large language models (LLMs). Stay informed about the future of data management! 📊🤖 #DataArchitecture #SemanticLayer #AIIntegration #TechTrends
2026-03-19 21:03
Etsy has transitioned its database management from a sharded MySQL architecture to Vitess, enhancing scalability and resilience. Originally, Etsy's system relied on an index database, which posed risks of outages and complex manual scaling. By adopting Vitess in 2018, queries are now managed more efficiently, reducing reliance on a single point of failure. This migration, completed over five years, introduces vindexes for improved sharding strategies and allows for cross-shard queries,...
Ella Yarmo-Gray
2026-03-19 19:00
At Slack, we recognized that notifications are vital for team communication but can be overwhelming. 💬 We aimed to redesign our notification system to enhance clarity and ease of use. Research revealed that notification overload is a common frustration, particularly as users join more channels. Our findings showed that inconsistencies in settings and user preferences led to confusion. We identified four main issues: conflicting models across devices, tightly coupled notification types,...
Frances Coronel
2026-03-19 18:49
🚀 Rovo’s collaborative AI canvas is designed to enhance content creation by merging user input with AI capabilities. The platform allows real-time collaboration across multiple content types, including pages and databases. It integrates seamlessly with tools like Confluence and Jira, ensuring a fluid user experience. Rovo's architecture enables efficient content generation and editing, making collaboration dynamic and interactive. Explore how we've built this innovative solution! 🌐✨ #AI...
Christopher Cheung
2026-03-19 16:01
Over the past year, Pinterest has developed a robust Model Context Protocol (MCP) ecosystem. This open-source standard allows AI agents to automate engineering tasks efficiently. MCP servers are hosted internally, optimizing security and performance. A centralized registry helps teams manage and discover approved servers. Notable servers include Presto for data access and Spark for debugging. The system emphasizes security, ensuring only authorized users can access sensitive tools. In January...
Pinterest Engineering
2026-03-19 15:00
In modern observability, distributed tracing is vital for capturing execution context in systems. OpenTelemetry plays a key role in enabling span collection across various technologies. However, with high volumes of data generated, effective querying can be challenging. Sampling helps by selectively retaining portions of tracing data, reducing complexity. Two main sampling approaches exist: 1. **Head sampling** decides upfront whether to collect spans. 2. **Tail sampling** records all...
Michele Mancioppi
2026-03-19 12:00
🚀 Adopting large AI models on Kubernetes can seem straightforward initially, but complexities arise in operations as usage scales. Day 0 may feel manageable, but Day 1 and 2 present challenges like latency sensitivity and unpredictable traffic. A real-world example highlights how AI platforms must handle incident triage efficiently. Common issues include fragmented GPU capacity, inconsistent inference interfaces, and the need for reliable multi-stage workflows. #AI #Kubernetes #Infrastructure...
Sachi Desai