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The latest News and Information on Log Management, Log Analytics and related technologies.

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?

Federated Search | From Silos to Insight | Azure Blob Schema Discovery with Splunk's Crawler

This walk-through shows how Splunk's Cloud can discover schema and partition keys for Microsoft Azure Blob Storage datasets and create searchable Splunk managed tables. Once the data is mapped, analysts can use Splunk Federated Search to query Azure Blob data where it lives, bringing cloud-resident logs into security, observability, and operational work-flows without re-ingesting the data.

DataPrime at ingest (DPXL): See the impact of any routing decision

TCO policies have always been one of the most impactful cost levers in Coralogix. Route business-critical data to High, push monitoring data to Medium, archive compliance logs to Low. With the addition of DataPrime expressions (DPXL) – a subset of the DataPrime query language designed for inline filtering at ingest – that routing became even more precise, matching on any field in the event payload, not just application, subsystem, and severity.
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Data-Led Growth: How FinTechs Win with App Event Analytics

In the rapidly shifting world of financial technology (FinTech), acquiring and retaining new customers to achieve long-term business growth requires a proactive approach to user experience and application performance optimization. As FinTech companies compete against rivals to grow a user base and revolutionize how consumers manage their finances, they increasingly depend on data-driven insights to optimize their mobile applications and deliver exceptional user experiences. This is where application event analytics comes into play.