Operations | Monitoring | ITSM | DevOps | Cloud

A practical comparison of the best observability tools in 2026: Last9, Datadog, Grafana Cloud, New Relic, Dynatrace, Honeycomb, Coralogix and SigNoz. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

An error budget is the unreliability an SLO allows. Learn to calculate it, track burn rate, set multiwindow alerts in PromQL and write an error budget policy. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

Grafana Cloud pricing broken down: free tier limits, Pro rates for metrics, logs and traces, how active series and DPM are billed, and worked cost examples. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

How do you know a server is about to cause problems before it actually does? You track the right metrics. Not all of them, just the leading ones that consistently surface performance issues before they worsen into outages. This guide breaks down the 10 server performance monitoring metrics every SRE should have on their radar.

How to monitor a Rails application in production: reading Puma's stats endpoint, spotting GC pressure, and finding the query that's actually slow. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

SRE automation covers four different jobs: runbook automation, self-healing infrastructure, drift detection, and resilience testing. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

AI agent observability means tracing tool calls, reasoning steps, and handoffs, not just tokens and latency. Here's what to instrument and why. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

How to monitor a PHP application in production: reading the PHP-FPM status page, checking OPcache health, and finding the request that is actually slow. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

When you get paged at 3am, it takes about 30 seconds for the notification to reach you and maybe two minutes until you're in front of a laptop, awake enough to read. What you see then is usually a raw alert. A metric name, a threshold, a link to a dashboard. Then the ritual starts: open the dashboard, check what deployed in the last few hours, grep the logs for the first error, ask in Slack whether anyone touched the database. ‍ Most of that time is search.

AIOps explained in plain terms: what it means, how it differs from AI-SRE and MLOps, how it detects problems, and whether a small team needs it. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.