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JTJAY TANKjaytank.hashnode.dev4d ago · 10 min read

The first 30 minutes of every postmortem is just sorting timestamps

The alert has cleared. The graphs are green again. Now comes the part nobody puts on the incident channel: someone has to sit down and figure out what actually happened, and in what order. And before

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SNSrekaravarshan N Ksrekaravarshan.hashnode.dev5d ago · 4 min read

How a Transaction We Forgot to Close Took Down a Service

A survey API went down at 155 requests a minute. The database was fine the whole time. The bug was hiding in between. One request took 145 seconds. Only 65 milliseconds of it was real database work. T

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APabhishek pareekabhishekpareek.dev5d ago · 9 min read

High Linux Load, Low CPU usage: When CPU Throttling Increased CPU Load

TL;DR A highly concurrent workload can create a large population of runnable tasks, and when that workload is also constrained by a CPU limit, those tasks may take longer to accumulate the CPU time th

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Jjasmineparkjas-blogs.hashnode.devAug 11 · 14 min read

Trace sampling at 10 percent: a $238 invoice against my $82 estimate

A product manager asked what one feature had cost us in April. I pulled the number from our trace backend, divided by the sample rate, and gave her a figure just over eighty dollars. She came back a w

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JAJoão Andradenativeport.hashnode.devAug 10 · 7 min read

Instrumenting AI agent web tools without leaking data or exploding cardinality

A web tool attached to an AI agent can emit an alarming amount of telemetry. Search queries, full URLs, extracted pages, provider error messages, retry histories, model inputs, and user identifiers al

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SCSherdil Cloudsherdil-cloud.hashnode.devAug 8 · 5 min read

The 4 Numbers That Tell You If Your DevOps Is Actually Working

DevOps is the invisible engine behind modern software: the delivery system that connects the moment you write code to the moment it's running in production. When it's tuned, releases are small, freque

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Jjasmineparkjas-blogs.hashnode.devAug 6 · 7 min read

A 4% cache hit rate was costing us money. Here is the arithmetic I should have run first.

We turned on prompt caching for our document-QA service and the invoice went up. Not dramatically. About 5%. Enough that I assumed it was traffic growth for the first two weeks, and it was not. This p

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PPillarspillars.hashnode.devAug 6 · 16 min read

SSLHandshakeException: Remote Host Terminated the Handshake - A Kubernetes Debugging Story

In our SRE practice, some of the most time-consuming incidents start with an error message that looks straightforward and turns out to point somewhere else entirely. This was one of those cases. We ra

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OOnyiGlobal2025onyiglobal2025.hashnode.devAug 6 · 10 min read

Building a Production-Shaped Observability Platform on EKS: OpenTelemetry, the LGTM Stack, and the Bugs Nobody Warns You About

Observability is one of those things that looks simple in a diagram and turns into a week of CrashLoopBackOff in practice. This is the story of building a full observability platform for a containeriz

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OOpsphereopsphere.hashnode.devAug 5 · 9 min read

Why Healthy Kubernetes Clusters Still Produce Unhealthy Applications

At 14:07, the deployment pipeline completed without a single warning. GitOps synchronized successfully. Kubernetes reported every Pod as Ready. The Deployment reached its desired replica count in less

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#sre

Explore Hashnode

Trending tags this week

The first 30 minutes of every postmortem is just sorting timestamps

How a Transaction We Forgot to Close Took Down a Service

High Linux Load, Low CPU usage: When CPU Throttling Increased CPU Load

Trace sampling at 10 percent: a $238 invoice against my $82 estimate

Instrumenting AI agent web tools without leaking data or exploding cardinality

The 4 Numbers That Tell You If Your DevOps Is Actually Working

A 4% cache hit rate was costing us money. Here is the arithmetic I should have run first.

SSLHandshakeException: Remote Host Terminated the Handshake - A Kubernetes Debugging Story

Building a Production-Shaped Observability Platform on EKS: OpenTelemetry, the LGTM Stack, and the Bugs Nobody Warns You About

Why Healthy Kubernetes Clusters Still Produce Unhealthy Applications