Harness Agent-Ready SCM: What 7x More Pull Requests Broke in CI
Harness's pull requests and CI runs grew about 7x as coding agents scaled. What its Agent-Ready SCM and CI fixes show platform teams about where to start.
How to Run Harbor Agent Evals in Docker Sandboxes MicroVMs
How to Migrate Kubernetes Nodes to cgroup v2 Before v1.38
How to Stream HCP Vault Dedicated Audit Logs to Microsoft Sentinel
How to Cut Trace Volume by 98% Without Losing Signal (OpenTelemetry + Datadog)
Data Pipeline Monitoring 101: How to Track Health Across the Full Stack
How to Use Datadog Session Replay for Team Bug Investigation
Datadog Agent Observability: Tracing AI Costs to the Agent
Datadog Agent Observability ties AI spend to apps and traces and flags fixes like uncached prompt prefixes. How platform teams can find avoidable token costs.
JFrog Shadow AI Detection Moves to Developer Workstations
JFrog Shadow AI detection now scans laptops for unvetted agent skills, MCP servers, plugins and hooks. What security teams get, and what's still missing.
Datadog Turnstile: Supply Chain Policy Beyond Image Signing
Datadog's Turnstile checks signed in-toto attestations against OPA policies at every deploy. How it works, why image signing falls short, and what to copy.
How GitHub Is Rebuilding Git Storage for Agent-Scale Traffic
GitHub moved nearly every repository to Azure and is changing its Git write quorum to per-reference locking. What changed and lessons for platform teams.
Grafana ObservabilityCON 2026: Cheaper Telemetry, More AI Agents
Grafana ObservabilityCON 2026 brought AI watchers, sandboxed fixes and Adaptive Telemetry updates. What platform teams should adopt first, and what to watch.
Harness VegaLoad: Open-Source Load Testing Your Agent Writes
Harness VegaLoad is open-source load testing your coding agent writes and runs, with p95 gates in CI/CD. What it covers and who should try it.
Stack Overflow Survey 2026: Only 6.6% Trust AI With Big Calls
The 2026 Stack Overflow survey shows 6.6% of developers trust AI with important work decisions. Why Docker reads that as a case for sandboxing AI agents.
Grafana Adaptive Metrics: Cost-First vs Coverage-First Auto-Apply
Grafana Adaptive Metrics auto-apply now has a cost-first mode that never lets active series rise. How it differs from coverage-first, and which to use where.
Datadog Scout 1.0: Cheaper AI SRE Investigations, Run More Often
Datadog Scout 1.0 is an SRE model Datadog says matches frontier models at 3 to 8 times lower cost. What it changes for on-call teams using Bits AI.
GitLab 19.5: MCP Server GA Lets Outside Agents In, With Limits
GitLab 19.5 makes its MCP server generally available, governs Claude Code and Cursor sessions, and adds rate limits. What platform teams should configure first.
GitHub Star History API: From 2,500 Requests to 24
GitHub's star history API cuts react/react's full curve from about 2,511 requests to 24 with no stargazer identities. How filtering by time first made it cheap.
Kueue Pending Jobs: A Headlamp Checklist for Admission Failures
Kueue pending jobs often aren't a scheduler problem. A Headlamp-first checklist from the Kubernetes blog for tracing admission, quota and queues, and limits.
GitHub Secret Scanning: Why a Small Model Beat the LLM Pipeline
GitHub secret scanning swapped an LLM for a fine-tuned ModernBERT classifier: 86% faster scans, 98% lower cost, fewer false alarms. How it works for teams.
GitLab AI Credit Caps: Three Levers for Controlling Agent Spend
GitLab AI credit caps, open-weight models and Orbit target agent spend. What each lever controls, GitLab's benchmarks, and the order to use them.
Octopus Deploy Remote MCP: Agents Can Now Ship Releases
Octopus Deploy remote MCP lets AI agents deploy releases and run runbooks through a built-in /mcp endpoint. What it exposes, and the guardrails to set first.
Docker Hub Access Token Vulnerability: A Two-Year Silent Transfer
A Docker Hub access token vulnerability let account conversion hand live PATs to another user for two years. What Docker found and changed, and what to check.
Datadog BYOC Cross-Cluster Queries: One Search, Data Stays Put
Datadog BYOC Logs can now search several self-hosted clusters in one query, including for AI agents via MCP. What that fixes for data-residency observability.
Datadog Retired Its Host Scanner: 4 Lessons From the Migration
Datadog swapped its SSH host scanner for the Datadog Agent after a six-month parallel run. Its vulnerability management lessons apply to any scanner swap.
Datadog CI/CD Optimization: The Case for Treating Your Pipeline as a Production Service
Datadog's CI/CD Optimization combines pipeline telemetry, flaky test detection, and test impact analysis. Betterment cut builds from 40 minutes to under 10.
Datadog Observability Pipelines Now Routes Security Logs to Exabeam — Without Blinding Your SIEM
Datadog Exabeam Packs filter Cisco ASA, CrowdStrike, and Palo Alto logs before SIEM ingest — cutting costs while keeping threat-relevant signals intact.
Databricks Monitoring: The 7 Dimensions Most Teams Only Partially Cover
A Datadog framework for Databricks monitoring across seven dimensions, from queue wait time as a warehouse-exhaustion signal to GPU memory on serving endpoints.
The First 72 Hours of Ransomware: Why 'Restored Isn't Recovered' Changes Your Incident Response Plan
Restoring systems isn't recovering the business. Ransomware's first 72 hours need data validation, dependency checks, and SIEM mapped to MITRE ATT&CK.
CircleCI's Intent-Driven Development: A Six-Step Framework for Steering AI Agents from Idea to Ship
CircleCI's intent-driven development gives AI coding agents explicit constraints and success criteria via intent documents. A six-step framework.
JFrog: AI Coding Tools Are Generating Vulnerabilities 10 Times Faster Than They're Being Fixed
JFrog's 2026 report: AI coding tools add about 35 CVEs a month as disclosures rose 92% in 2025, and CISA now advises against severity-only vulnerability triage.