No SRE. No platform team. Your "monitoring strategy" is someone checking Slack. We compared six APMs for teams of 2-20 engineers who got handed the monitoring task on top of feature work. https://t.co/gX6jKICGOt
AcuBliss had a slow endpoint doing 418 SQL queries. Claude Code + Scout MCP found the root cause in under 3 minutes: three N+1 patterns buried in a serializer. Here's how a 2-person team debugs like a 20-person team. https://t.co/LtDDyOKw4a #APM#DevTools
AI can scaffold and ship an app in a weekend. It does not know the Eloquent query it wrote loads 10,000 records without pagination. Monitoring is critical path, not nice-to-have. https://t.co/ETOBsIdxId #AIDev#Monitoring
If your developers are also your SRE team, most APM tools were not built for you. We compared Scout, Sentry, Honeybadger, AppSignal, New Relic, and Datadog for teams of 2-20. https://t.co/AJpQAJBCFq #APM#DevTools
Best Sentry Alternatives in 2026. AI agents need monitoring data they can act on, not dashboards they can look at. Developer-centric tools are agent-centric tools. https://t.co/sL621PObBS #Sentry#APM#AIDev
Best Error Monitoring Tools in 2026. When AI agents can read errors via MCP and fix them without human triage, monitoring becomes part of the dev loop, not just alerting. https://t.co/kQVjvpo2QL #ErrorMonitoring#APM
We migrated our marketing site off a modern CMS platform to a file-based Git workflow. SEO results have been overwhelmingly better. Pages are faster, AI can edit them, and nobody is fighting combo class overrides at midnight. For small teams, Git won.
Best Elixir APM Tools in 2026: Scout, AppSignal, New Relic, Datadog, and PromEx compared for Phoenix apps. Ecto N+1, BEAM VM, LiveView, Oban. https://t.co/ByVKFtfXSz #ElixirLang#Phoenix#APM
Production apps touch a database, a cache layer, and several third-party APIs on every request. AI traffic is making that even less predictable. When something breaks, guessing is not a strategy. https://t.co/G5v0VtLLsA
We rewrote our APM metrics guide for 2026. Now covers 9 metrics instead of 7, adding logs and N+1 queries as first-class sections. Also covers how to pipe trace data into AI assistants via MCP for faster diagnosis. https://t.co/sAwH4EsBR6
We wrote about how support works at Scout. No chatbots, no ticket deflection. Real people who built the product answer your questions. AI handles the research on our side so we can skip "can you send a screenshot?" and get straight to helping. https://t.co/ky09BPgnXC
Your AI coding assistant can read your code but is blind to production performance. We shipped a new CLI (with TOON format for LLMs), two MCP servers, and expanded API endpoints to fix that. https://t.co/9cMCzhNx7U
We just sent out our March newsletter. Elixir agent 2.0, Scout CLI on Homebrew, new API endpoints, MCP server updates. Here's the recap if you missed it. https://t.co/vz9GwWCW9S #elixir#devtools#APM
Scout APM's Elixir agent now powers full Database Monitoring and External Services views — see per-query breakdowns by table and operation, plus per-domain HTTP call tracking via Finch, Req, and Tesla. Same visibility Ruby and Python users already have. https://t.co/VHutC9yIzT
If you happen to work on Elixir and Phoenix and have been craving that Scout experience (minimal time, maximal insight), we have good news. We rolled out improved instrumentation, error monitoring and log management in a major release. Check it out at https://t.co/iywlCVU4Jk
Errors aren't the enemy; they're the messenger. What makes them even more powerful? Context.
See your errors right beside your perf and log data for quick, deep insights that keep your users happy:
https://t.co/yr75V1acxE