3 things engineers need to know before using GPT 5.6
I tested out Luna, Terra, and Sol and analysed telemetry data - here's what I uncovered that you need to know before using GPT 5.6.
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What Is Synthetic Monitoring and Why Does It Matter?
A website can look healthy on your dashboard and still fail when customers try to use it. So how do you catch problems before anyone notices them? In this video, you'll learn what synthetic monitoring is, how it works, and why IT teams use it to detect website and application issues before they impact real users. Discover how automated user journeys help you monitor availability, performance, and critical business transactions 24/7.
Unified Logs, Traces, and Errors: Why One Tool Beats Three
Last updated: July 2026 Your Rails app throws a 500. You open Sentry and find the exception. The stack trace points to a controller action, but it does not tell you why the database call failed. You switch to Datadog and search for the request trace. The trace shows a 3-second query, but you do not know what the application was logging at that moment. You open your log aggregator, paste in the request ID, and scroll through output until you find the slow query log line that explains the lock contention.
MCP vs CLI: you're probably choosing wrong
Watch the full episode: MCP vs CLI: Does it even make a difference? Live Laugh Logs ep. 3.
When and what should I be logging?
This is a follow-up to Sergiy’s post Errors, traces, logs, metrics: when to reach for what. Modern observability platforms, like Sentry, give developers a lot of choice. For a given problem, should you use traces, profiles, metrics, logs? If you take away one thing from this post, I hope it’s this: when in doubt, start by adding a few targeted log lines.
Time Series Foundation Model: The AI That Stops Disasters
It's time to go from reactive firefighting to predictive prevention. Learn how the Time Series Foundation Models can forecast system failures before they cascade.
Build an SRE Agent Harness for AIOps Without Context Blowout
An agent harness for AIOps is the runtime layer that coding agents like Claude Code were never built to provide: context isolation, decision traceability, and gated execution for tools that touch production. Aura is Mezmo's open-source (Apache 2.0) agent harness, purpose-built for operations work rather than software development.
Claude Code Monitoring at Scale: Gateways and Routing With OpenTelemetry
Chelsea and I recently wrote a guide on how we monitor Claude Code usage internally with Bindplane. TLDR; We remotely manage a Bindplane Distribution of the OpenTelemetry Collector (BDOT) that runs on every engineer's laptop. This setup is great, but it has one downside. Sending to Google Cloud Monitoring, Swarmia, and any other destination directly from an engineer’s laptop is limited to local processing. You can’t get the benefit of centralized routing and processing on a gateway.
When Does a Self-Service Portal Actually Reduce Tickets?
A self-service portal is designed to reduce IT support tickets by enabling employees to solve common issues on their own. But if self-service is supposed to improve efficiency, why do so many portals remain unused while help desk queues continue to grow? In this video, you'll learn what a self-service portal is, why many organizations struggle with low adoption, and the three key factors that determine whether your portal actually reduces ticket volume.
The future of governing AI agents
How to build governance into autonomous security agents from the architecture up The industry has moved fast on capabilities. Agents now triage alerts, investigate endpoints, create detection rules, and enrich indicators, and they are even capable of performing most actions we as security operators can perform. The architecture patterns are maturing, as are the models, but governance is not keeping pace.