How to collect telemetry from Claude Code and Codex
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The AI Engineering Playbook: How to Evaluate & Iterate at Every Phase of Development
AI coding tools are accelerating development velocity, creating a release challenge most teams aren’t equipped for. Without controlled rollout, higher change velocity makes it harder to know which specific release drove the results you’re seeing in production. And when teams use AI, to build AI – LLM apps and AI agents– complexity multiplies. Traditional observability can’t ensure AI agent quality, performance, and cost-efficiency at production scale.
Women In Tech Panel - Engineering with AI in the Stack
Every team is doing something with AI right now. What that something is, is an entirely different question. And whether that something is successful? Most teams are still figuring it out as they go.
Rethinking Public Sector Observability: From Infrastructure Health to Mission Continuity
Public sector reliability is not a green dashboard. It’s whether people can complete the service when it matters.
Reduce CDN log costs with searchable archives
Engineering teams that manage high-volume log sources, such as content delivery network (CDN) edges, streaming platforms, and authentication systems, often have to make a difficult retention tradeoff. Indexing every event keeps logs searchable during investigations, audits, and postmortems, but it can make long-term retention expensive.
Icinga Director, vSphere Integration, and SSO: New Releases Available
This release roundup brings together Icinga Web SSO v1.0.0, Icinga Director v1.11.9, and Icinga vSphere Integration v1.8.4. It introduces OpenID Connect single sign-on for Icinga Web and includes compatibility updates for the upcoming Icinga PHP Library 1.0.0 release.
Ship Reliable AI Faster: How to Operate AI Agents with Control and Confidence
Replace "AI shipped on hope" with an operating model that holds up once real users depend on it. AI quality is multi-dimensional, covering accuracy, tone, safety, and faithfulness to user data, and can't be debugged from outputs alone. Without visibility into what their AI actually did in production, teams miss regressions, reverse-engineer chains by hand, and watch a single bad answer erode trust built over hundreds of right ones.
From Legacy to AI-Ops: Securing and Scaling Systems for 20M Device Requests with Datadog
Modernizing a legacy system serving 20 million devices without users noticing is like replacing a jet engine mid-flight. In this session, YoungJin Jung and Donggen Hong from LG U+ share their 18-month journey transforming a Telco-scale API Gateway from a rigid, proprietary solution into a high-performance, open-source architecture on AWS, and the operational challenges they solved along the way.
Grafana + Uptrace: Reuse Your Dashboards in Seconds
In this tutorial you'll learn how to use Uptrace and Grafana together. Uptrace exposes a Prometheus-compatible HTTP endpoint, so you can add it as a data source in Grafana and reuse your existing dashboards without changing metric names or rewriting queries.
Why Is Root Cause Analysis So Hard for IT Teams to Get Right?
In this video, learn what Root Cause Analysis (RCA) is and why it's essential for preventing recurring IT incidents instead of repeatedly fixing the same symptoms. Discover how effective RCA helps IT teams identify the real source of problems, reduce downtime, and improve operational resilience. In this video, you'll learn: Contact Us sales@motadata.com Resources Follow Us on Social Media.