Changelog B-Sides: MCP, Auto-Investigations, Alert Routing
Welcome to the Honeycomb Changelog B-Sides, Vol. 1, Fall 2026 Hear about important new features that didn't get fanfare!
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Grafana Assistant Demo: AI-Powered Root Cause Analysis and Remediation
See how Grafana Assistant uses AI to investigate incidents, identify root causes, and help remediate application problems. In this demo, Engineering Manager Ksenia Yadav and Staff Product Manager Maurice Rochau show how AI-powered observability supports the move toward autonomous operations, from detecting problems to generating code fixes and validating their impact in production. Explore how Grafana Assistant uses context from your telemetry, infrastructure, incidents, business data, and code to.
Episode 19- What Gen Z Actually Thinks About AI
In Part 1 of this conversation, three early-career professionals at Digitate — Ryan Bascos, Renad Morrar, and Ritu Bhalodia — join The Intelligent Enterprise to share what it actually feels like to start a career in the age of AI: the tools they rely on, the concerns they carry, and what their generation sees that others might be missing.
How Uber Optimizes Code at Scale with Grafana Cloud Continuous Profiling & Grafana Assistant
How does Uber use continuous profiling to improve performance and resource efficiency across several million CPU cores? In this Grafana Cloud case study, Senior Researcher Chris Zhang from Uber’s Frontier Tech Labs explains how the team uses Grafana Cloud Profiles and Grafana Assistant to identify expensive code and scale code optimization across its production systems.
Full-Stack Observability with Grafana Cloud: From Business Impact to Root Cause
How do you trace a dropped conversion or a checkout failure to its technical root cause? See how full-stack observability in Grafana Cloud connects business impact to system performance across web and mobile clients, applications, infrastructure, and databases. In this session, Principal Software Engineer Jim Gehrett and Staff Product Manager Sarah Constant demonstrate how to start with a business problem and work backward through the technology stack to investigate its cause.
Android profiling now uses Perfetto via ProfilingManager
Starting with Sentry Android SDK 8.51.0, profiling on Android 15+ devices is powered by Perfetto, through Android’s system ProfilingManager API. That means fewer legacy tracer crashes, lower CPU and memory overhead, and more representative profiles. You don’t need to change any configuration: if you already use continuous profiling, devices on Android 15 and newer pick up the new profiler as soon as you upgrade.
Manage and deploy LLM prompts with Datadog
Prompts are an important part of LLM application behavior, but teams often manage them alongside application code or across separate notebooks and configuration files. This can make prompt changes dependent on application releases and make it difficult to understand which version is running in each environment. When a change affects application quality, latency, or cost, teams also need a way to connect that behavior back to the prompt version that produced it.
Diagnose frontend performance issues with RUM Profiling
When a mobile application takes too long to launch or becomes unresponsive, it can be difficult to find the cause. Datadog Real User Monitoring (RUM) helps developers detect these issues and understand which users are affected. But knowing that an application is slow doesn’t tell you which part of its code is responsible. Engineers often need to reproduce the problem locally, piecing together performance metrics and code execution information from separate tools.
What Is Cloud Networking? Types, Benefits and How to Monitor It
Think about Outlook, Salesforce or the shared drive your staff open each morning, and at least one of them probably runs in AWS, Azure or Google Cloud. That puts a good share of your traffic on a cloud network nobody on your team has ever seen. You still own a lot of that path (the VPN link, the route tables, the security groups), and it breaks in ways an office network doesn't.
Network Diagram Examples: 8 Types and How to Draw Them
Most network diagrams we come across land in one of two piles: the one drawn for an audit years ago and never opened since, and the one so crowded that finding the firewall takes squinting. The network diagram examples below sit between those piles, 8 diagrams IT teams actually use, sorted into physical, logical, and cloud or WAN. For the full build process behind one map, see our guide to the network topology diagram.
Instrumentation Hub in Grafana Cloud: start easier, stay in control
It's no secret that getting started with observability can be much harder than it should be. That's why, at ObservabilityCon 2025, we introduced Instrumentation Hub: a guided, scalable way to roll out observability coverage while still keeping you in control. Today, we’re excited to announce that Instrumentation Hub is now Generally Available in Grafana Cloud.
The Jolokia Problem: Eight CVEs, One Door in Apache ActiveMQ
The Apache ActiveMQ Jolokia endpoint has been the route to remote code execution in three separate years. In 2023, it was reflection into the JVM. In 2024, a default configuration left it without a login. In 2026, it was the broker's own management operations, patched in March, exploited in April, and reopened three more times by summer.
IBM MQ Alternatives: When ActiveMQ and Artemis Make Sense
What IBM MQ costs an organisation is a knowable figure. It comes off a renewal statement, an entitlement count or a licensing review, and finance can put a number against it down to the core. What replacing it would save is not knowable in the same way. There is no independent case study in the public record carrying real durations, team sizes and application counts, and every migration timeline in circulation comes from an organisation selling the migration.
Can driver-monitoring systems help prove fault in a rideshare crash?
Driver-monitoring systems are increasingly used by rideshare companies to capture data during every trip. These technologies gather detailed information that can become crucial evidence in resolving rideshare accidents. Understanding how this evidence is collected, preserved, and accessed is important for both passengers and legal professionals in places such as Paramus.
Audit logs now cover what your team does in StatusGator
StatusGator’s audit logs now track more of your team’s activity, including changes to monitors, incidents, scheduled maintenance, status pages, and integrations. Previously, audit logs focused on sign-ins and account security. With this update, organization admins can also see who changed a monitor’s component filters, rescheduled maintenance, resolved an incident, or updated a status page’s password.
Get outage reports from your status page as webhooks
StatusGator webhooks now support user outage reports, so you can send reports from your status page to your own tools as soon as they’re confirmed. We’ve also added event settings to each webhook, letting you choose which notifications an endpoint receives. Use outage reports to create support tickets, alert your on-call team, or collect reports for analysis. Each payload includes the affected service, selected components, the reporter’s comment, and their approximate location.
The $6.3B Binance Hack: What Happened and What It Teaches Security Teams About Investigation
TL;DR On October 29, 2026, attackers drained about $6.3 billion in crypto assets from Binance’s hot wallets, the largest crypto theft on record. Binance says the incident may have started with a compromised laptop, but its investigation has since found additional points of breach, and the root cause is still being confirmed. For engineering and security teams, the lesson is about how quickly you can reconstruct what happened across many systems once something goes wrong. In this post.