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The latest News and Information on Service Reliability Engineering and related technologies.

last9

Stop Flying Blind: Synthetic Monitoring, Host heat-maps, and Process-Level Visibility

Jan 23, 2026 By Nishant Modak In Last9
January 2026 Release Here's a dirty secret about observability: most teams find out about outages from their customers. Not from their dashboards. Not from their alerts. From angry tweets and support tickets. The excuse is always the same: "We have metrics! We have dashboards! We even have that AI thing now!" And yet, somehow, your checkout endpoint has been returning 502s for forty-five minutes and you're learning about it from the VP of Sales who just got off a call with your biggest customer.
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catchpoint

The SRE Report 2026: Defensible Ns

Jan 22, 2026 By Leo Vasiliou In Catchpoint
You shouldn’t have to understand the care behind this report, unless it’s missing. For the past eight years, this research has focused on all things related to reliability and resilience. How systems behave under stress. How teams respond when things break. And how the practices continue to evolve. Reaching the eighth edition of The SRE Report attests to that and gives me pause. You can read the full report here and you can find a summary of the key findings here.
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catchpoint

SRE Report 2026: What surprised us, what didn't, and why the gaps matter most

Jan 22, 2026 By Denton Chikura In Catchpoint
This is the eighth edition of the SRE Report. Eight years of tracing reliability's arc, from uptime obsession to experience, from toil to intelligence, from systems to people. This year's report is also the first since Catchpoint joined LogicMonitor. We want to acknowledge their support in keeping this work going. They get what this report means to the reliability community, and that matters. We made a deliberate choice this year to say less.
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mezmo

AI SRE Update: Your Feedback Shaped Our Latest Release

Jan 20, 2026 By Mezmo In Mezmo
A note from Lauren Nagel, Mezmo's VP of Product: At Mezmo, we believe the best observability tools aren't just built for users, they're built with them. Since the launch of Mezmo's AI SRE agent, we've listened and learned from our customers. The feedback and insights have been invaluable in helping our teams refine and enhance the experience. Today, we're excited to share our latest release, packed with improvements and powerful new capabilities that make our AI SRE even faster and more intuitive.
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last9

High Cardinality Metrics: How Prometheus and ClickHouse Handle Scale

Jan 19, 2026 By Aditya Godbole , In Last9
TL;DR: Prometheus pays cardinality costs at write time (memory, index). ClickHouse pays at query time (aggregation memory). Neither is "better":they fail differently. Design your pipeline knowing which failure mode you're accepting. -- Every month, someone posts "just use ClickHouse for metrics" or "Prometheus can't handle scale." Both statements contain a kernel of truth wrapped in dangerous oversimplification.
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Komodor

AI SRE in Practice: Diagnosing Configuration Drift in Deployment Failures

Jan 18, 2026 By Itiel Shwartz In Komodor
Deployments fail for dozens of reasons. Most of them are obvious from the error messages or pod events. But when a deployment rolls out successfully according to Kubernetes but your application starts experiencing latency spikes and error rate increases, the investigation becomes significantly harder. This scenario walks through a configuration drift incident where the deployment appeared healthy but available replicas were constantly flapping, creating cascading reliability issues.
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Democratizing Reliability: Giving Non-Engineers Real Operational Power with Dileshni Jayasinghe

Jan 14, 2026 By Rootly In Rootly
Many companies don’t invest in incident management until something goes wrong. commonsku took a different path. In this episode of Humans of Reliability, Sylvain sits down with Dileshni Jayasingha, VP of Technology at commonsku, to talk about what it really takes to introduce incident management in a mature, profitable SaaS that had never formalized it. From rolling out observability and incident tooling to practicing internal status updates before going public, Dileshni shares how her team built the right muscles before they were forced to.
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datadog

How we built an AI SRE agent that investigates like a team of engineers

Jan 12, 2026 By Daniel Shan In Datadog
We built Bits AI SRE to help engineers investigate and solve production incidents, one of the most difficult aspects of operating distributed systems today. As environments grow more dynamic and complex, resolving issues becomes more challenging. Failures now span more services, involve noisier signals, and encompass larger volumes of telemetry data, making it hard for on-call engineers to find root causes quickly. Today, Bits AI SRE is already helping teams decrease time to resolution by up to 95%.
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Komodor

AI SRE in Practice: Resolving GPU Hardware Failures in Seconds

Jan 11, 2026 By Itiel Shwartz In Komodor
When a pod fails during a TensorFlow training job, the investigation usually starts with the obvious questions. The answers rarely come quickly, especially when the failure involves GPU hardware that most engineers don’t troubleshoot regularly. This scenario walks through an actual GPU hardware failure and shows how AI-augmented investigation changes both the time to resolution and the expertise required to handle it.
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Komodor

When is it ok or not ok to trust AI SRE with your production reliability?

Jan 8, 2026 By Ilan Adler In Komodor
There’s a moment every engineer knows. An AI suggests a fix, it looks reasonable,maybe even obvious, but production is on the line and you hesitate before clicking execute. There’s a big difference between an AI that can recommend an action and one you’re willing to let take that action. All it takes is one bad call, one kubectl command that makes things worse, and suddenly every automated suggestion is a potential liability instead of a help.
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