Office Hours with David Girvin
Weekly office hours with David Girvin. Check out recent feature releases and updates, watch a quick live demo, and ask any questions with live Q&A.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on Log Management, Log Analytics and related technologies.
How to Build a Cost-Effective Log Retention Strategy
Nearly every home has that drawer or doom corner where you store all those items that you don’t need every day but that you still want to keep for those “just in case moments.” If you’re a document connoisseur, you may have financial documents that go back years because an accountant once warned you that an IRS audit would require seven years of back documentation. In short, you have a lot of documents that you may or may not need taking up a lot of room in your home.
Claude Code Observability at Scale: How We Did It With Bindplane
At Bindplane, we iterate fast. One of the most important tools we've adopted across our organization is Claude Code. It helps every team here build solutions to complex problems with both speed and precision. But speed without visibility is a liability. We needed a reliable way to monitor and audit how Claude Code was being used across our team. Luckily, we build the best platform on the market for data in motion.
Best Log Management Software for DevOps and SRE Teams in 2026: Feature and Cost Breakdown
TL;DR Picking the right log management platform in 2026 comes down to three things: how much operational overhead you can absorb, how much AI automation you need, and what you’re willing to spend.
Cribl Search Pack for Zscaler: Setup & security dashboard walkthrough
Learn how to install and configure the Cribl Search Pack for Zscaler, then walk through prebuilt dashboards for your Zscaler security logs. This video is for security engineers, Zscaler administrators, and SOC/observability teams using Cribl Search to monitor and investigate Zscaler activity. In this walkthrough, you’ll see: If you need a reminder or want to share feedback on the pack, you can always refer to the README bundled with the pack or reach out to the Cribl team.
Logs told me something broke. Traffic showed me what.
Here’s a problem I run into constantly: something breaks in production, I can see the 500 errors in my logs, but I can’t reproduce it locally. The trace shows me the dependency graph but not the actual request that failed. This is especially painful in microservices. I was looking at a CNCF example the other day (a simple demo app, like 4 pods) and it already had so many cross-service dependencies that understanding what broke required looking at the whole system at once.
How LivePerson optimized Logstash and Kafka performance on GCP through benchmarking
By benchmarking five GCP machine types across both Logstash and Kafka, LivePerson's observability team found that infrastructure selection (not just pipeline configuration) is one of the highest-leverage cost optimization decisions at scale.
Observability Summit NA 2026: What the Community Is Thinking About
Two days in Minneapolis with the OpenTelemetry community, talking about where telemetry pipelines are headed and what the AI wave is doing to them. Two topics dominated everything: AI and cost reduction. Not as separate conversations, either. The more the community talked about AI telemetry, the more the cost question followed right behind it. I joined Diana Todea from VictoriaMetrics and Antonio Jimenez Martinez from Cisco ThousandEyes on the Telemetry That Matters panel.
Splunk Observability at Cisco Live: Agentic Observability for the AI Era
Observability has always been about seeing clearly under pressure. But the pressure has changed. Applications are more distributed. Kubernetes environments keep expanding. Digital experiences depend on services, APIs, networks, third-party providers, and now AI models and agents that can make decisions faster than a human team can review every signal.
The Observability Journey: Getty Images and Cribl
I recently sat down with Simon Overbey and Lovepreet Singh - the Engineering Manager and systems engineer (respectively) at Getty Images to talk about their experiences implementing Cribl. After getting a rundown of the pre-Cribl environment (described above) I asked to jump straight to the end, the net benefits. If the "before" was a terrifying tidal wave of cost and complexity, what did the "after" look like?