Linux Foundation Newsletter: January 2026

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• 2025 Annual Report highlights open source milestones, community growth, research, and new foundation launches. • Jim Zemlin discusses Agentic AI Foundation on Latent Space Podcas

Hardening eBPF for runtime security: Lessons from Datadog Workload Protection

Hardening eBPF for runtime security: Lessons from Datadog Workload Protection

• 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

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• 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

Japan's Open Source Moment: Strong Business Value, Global Leadership-and a Clear Path Forward

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How to use AI to analyze and visualize CAN data with Grafana Assistant

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'Grafana's Big Tent' podcast: Welcome to season 3!

'Grafana's Big Tent' podcast: Welcome to season 3!

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Grafana Labs: Top 10 moments of 2025

Grafana Labs: Top 10 moments of 2025

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Removal of Drilldown Investigations in Grafana: What you need to know

Removal of Drilldown Investigations in Grafana: What you need to know

• 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

Send OpenTelemetry traces and logs from Cloudflare Workers to Grafana Cloud

• 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

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• 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

Contextual, in-product guidance for every Grafana user: A closer look at Interactive Learning

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Improve service reliability and ops culture with Grafana Cloud Service Center

Improve service reliability and ops culture with Grafana Cloud Service Center

• 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

The State of Open Source Software in 2025

• 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

Defend Open Collaboration: Have Your Say on Proposed US Patent Rules

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• 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

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• 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

Revealing the Hidden Economics of Open Models in the AI Era

• 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

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Scaling real-time file monitoring with eBPF: How we filtered billions of kernel events per minute

Scaling real-time file monitoring with eBPF: How we filtered billions of kernel events per minute

• Yoann Ghigoff Jonathan Ribas Sylvain Afchain Sylvain Baubeau Guillaume Fournier File integrity monitoring (FIM) helps teams detect unauthorized changes to sensitive files and is

Replication redefined: How we built a low-latency, multi-tenant data replication platform

Replication redefined: How we built a low-latency, multi-tenant data replication platform

• 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

Detecting malicious pull requests at scale with LLMs

Detecting malicious pull requests at scale with LLMs

• 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

Failure is inevitable: Learning from a large outage, and building for reliability in depth at Datadog

Failure is inevitable: Learning from a large outage, and building for reliability in depth at Datadog

• 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,

Inside Husky's query engine: Real-time access to 100 trillion events

Inside Husky's query engine: Real-time access to 100 trillion events

• 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

From hand-tuned Go to self-optimizing code: Building BitsEvolve

From hand-tuned Go to self-optimizing code: Building BitsEvolve

• 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

Scaling down to speed up: How we improved efficiency of live process metrics by 100x

Scaling down to speed up: How we improved efficiency of live process metrics by 100x

• 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

Evolving our real-time timeseries storage again: Built in Rust for performance at scale

Evolving our real-time timeseries storage again: Built in Rust for performance at scale

• 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

How Go 1.24's Swiss Tables saved us hundreds of gigabytes

How Go 1.24's Swiss Tables saved us hundreds of gigabytes

• 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

How we tracked down a Go 1.24 memory regression across hundreds of pods

How we tracked down a Go 1.24 memory regression across hundreds of pods

• 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

How we built a real-time, client-side noise suppression library without server dependencies

How we built a real-time, client-side noise suppression library without server dependencies

• 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

How we built reliable log delivery to thousands of unpredictable endpoints

How we built reliable log delivery to thousands of unpredictable endpoints

• 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

Breaking up a monolith: How we're unwinding a shared database at scale

Breaking up a monolith: How we're unwinding a shared database at scale

• 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

How we scaled fast, reliable configuration distribution to thousands of workload containers

How we scaled fast, reliable configuration distribution to thousands of workload containers

• Datadog handles millions of logs per second, requiring instant config updates across thousands of containers. • User‑defined log parsing rules are applied immediately, demanding

Detecting faulty deployments: Our journey from unlabeled data to supervised learning

Detecting faulty deployments: Our journey from unlabeled data to supervised learning

• 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

Squeezing every millisecond: How we rebuilt the Datadog Lambda Extension in Rust

Squeezing every millisecond: How we rebuilt the Datadog Lambda Extension in Rust

• 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

Achieving relentless Kafka reliability at scale with the Streaming Platform

Achieving relentless Kafka reliability at scale with the Streaming Platform

• 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: Efficient compaction at Datadog scale

Husky: Efficient compaction at Datadog scale

• 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