Linux Foundation Newsletter: January 2026
• 2025 Annual Report highlights open source milestones, community growth, research, and new foundation launches. • Jim Zemlin discusses Agentic AI Foundation on Latent Space Podcas
• 2025 Annual Report highlights open source milestones, community growth, research, and new foundation launches. • Jim Zemlin discusses Agentic AI Foundation on Latent Space Podcas
• Guillaume Fournier eBPF has opened up new capabilities for observability, networking, and security. • But when you run it in production across thousands of environments and kerne
• Linux Foundation Newsletter: December 2025 The Linux Foundation | 17 December 2025 Welcome to the December 2025 edition of the Linux Foundation Newsletter. • Winter is nearly her
• Home Blog Japan’s Open Source Moment: Strong Business Value, Global Leadership-and a Clear Path Forward Japan’s Open Source Moment: Strong Business Value, Global Leadership-and a
• How to use AI to analyze and visualize CAN data with Grafana Assistant Note: A version of this post originally appeared on the CSS Electronics blog. • Martin Falch, co-owner and
• ‘Grafana’s Big Tent’ podcast: Welcome to season 3! • Sometimes the simplest questions spark the most entertaining rabbit holes. • Questions like: ‘Can you monitor a candle withou
• Grafana Labs: Top 10 moments of 2025 For Grafana Labs, 2025 was a year defined by innovation, growth, and the power of our community. • We celebrated the release of Grafana 12 at
• Removal of Drilldown Investigations in Grafana: What you need to know Back in May, we introduced the public preview of Grafana Drilldown Investigations, a new feature intended to
• Send OpenTelemetry traces and logs from Cloudflare Workers to Grafana Cloud Note: This blog was co-authored by Nevika Shah, a senior product manager at Cloudflare. • Cloudflare W
• What’s new in the Grafana Image Renderer: higher-quality results, security enhancements, and more Whether it’s for an email or that upcoming presentation, many Grafana users like
• Contextual, in-product guidance for every Grafana user: A closer look at Interactive Learning As developer advocates at Grafana Labs, we’re always looking for new ways to help ou
• Improve service reliability and ops culture with Grafana Cloud Service Center Ryan Kehoe David Ellis Dave Thompson Deyan Halachliyski Today’s engineering organizations are built
• The State of Open Source Software in 2025 Irving Wladawsky-Berger | 27 November 2025 This blog was first published on Nov 26, 2025 at https://blog.irvingwb.com/blog/2025/11/the-s
• Home Blog Defend Open Collaboration: Have Your Say on Proposed US Patent Rules Defend Open Collaboration: Have Your Say on Proposed US Patent Rules Open source and open collabora
• How to monitor AI agent applications on Amazon Bedrock AgentCore with Grafana Cloud Today’s AI agents have grown increasingly sophisticated, moving into production environments a
• Revealing the Hidden Economics of Open Models in the AI Era Frank Nagle | 19 November 2025 Artificial intelligence is reshaping economic systems at a pace we have rarely seen in
• Linux Foundation Newsletter: November 2025 The Linux Foundation | 19 November 2025 Welcome to the November 2025 edition of the Linux Foundation Newsletter. • As we move toward ye
• Yoann Ghigoff Jonathan Ribas Sylvain Afchain Sylvain Baubeau Guillaume Fournier File integrity monitoring (FIM) helps teams detect unauthorized changes to sensitive files and is
• Sanketh Balakrishna Andrew Zhang At Datadog, we operate thousands of services that rely on consistent, low-latency data access. • Moving data between diverse systemsâquickly and
• Callan Lamb Christoph Hamsen Julien Doutre Jason Foral Kassen Qian At Datadog, weâve embraced coding assistants because they help us ship features faster, cut down on repetitive
• Laura de Vesine Rob Thomas Maciej Kowalewski In March 2023, Datadog experienced a rare, widespread incident that left large parts of our infrastructure only partially functional,
• Sami Tabet At Datadog, we process more than 100 trillion events and billions of queries every dayâacross logs, traces, network data, and more. • To support that scale, we built H
• Yevgeniy Miretskiy Sesh Nalla Arun Parthiban Alp Keles At Datadog, cost-aware engineering is more than a principle; itâs a performance challenge at scale. • Weâve published how w
• Kai Zong Khor William Yu Many Datadog products offer a live view of their telemetry, allowing you to access your data in near real time from across your infrastructure. • Live vi
• Khayyam Guliyev Duarte Nunes Ming Chen Justin Jaffray As Datadog continues to scale, the volume, complexity, and cardinality of the metrics we ingest and store steadily grow by o
• Nayef Ghattas In Part 1: How we tracked down a Go 1.24 memory regression across hundreds of pods, we shared how upgrading to Go 1.24 introduced a subtle runtime regression that i
• Nayef Ghattas When Go 1.24 was released in early 2025, we were eager to roll it out across our services. • The headline featureâthe new Swiss Tables map implementationâpromised r
• Jason Thomas Brandon West Rosa Trieu A few years ago, we had to scramble to find a quiet place for meetings to avoid the inevitable interruptionsâleaf blowers, barking dogs, and
• Gabriel Reid Package delivery services like UPS, FedEx, and the postal service have a tough job. • They contend with a never-ending stream of packages to be delivered, with expec
• Shared relational DBs simplify early growth but create coordination headaches as teams scale. • Schema changes become risky because the database is both data store and API contra
• Datadog handles millions of logs per second, requiring instant config updates across thousands of containers. • User‑defined log parsing rules are applied immediately, demanding
• Deployments drive 70% of incidents, making rapid fault detection critical for modern DevOps. • Datadog’s Automatic Faulty Deployment Detection uses APM telemetry to spot problema
• Rebuilt Datadog Lambda Extension in Rust, slashing cold start latency by 82%. • Reduced memory footprint by 40%, cutting usage from 55 MB to just 7 MB. • Shifted from heavyweig
• Datadog ingests hundreds of trillions observability events daily across thousands of Kafka clusters and topics. • Traditional static Kafka configs hinder rapid recovery from brok
• Husky layers over object storage, using fragments to batch trillions of daily events. • Metadata per fragment lets queries locate relevant data without scanning entire store. • D