Subscribe to Atatus Blog - For DevOps Engineers, Web App Developers and Server Admins.’s news feed.
Click on “Follow” and decide if you want to get news from Atatus Blog - For DevOps Engineers, Web App Developers and Server Admins. via RSS, as email newsletter, via mobile or on your personal news page.
Subscription to Atatus Blog - For DevOps Engineers, Web App Developers and Server Admins. comes without risk as you can unsubscribe instantly at any time.
You can also filter the feed to your needs via topics and keywords so that you only receive the news from Atatus Blog - For DevOps Engineers, Web App Developers and Server Admins. which you are really interested in. Click on the blue “Filter” button below to get started.
Website title: Unified monitoring for Apps, Websites, Servers, and Logs | Atatus
Is this your feed? Claim it!
Sentry is a solid tool. But after a few months of growth, many teams hit the same wall: error volume spikes, the bill follows, and suddenly you're paying enterprise rates for a tool that still doesn't show you what's happening at the infrastructure level.
That's the most common reason teams start looking for alternatives — not because Sentry is broken, but because it's ...
Your on-call engineer gets paged. A critical service is down. Error rates are spiking.
They open Sentry for errors. Flip to Grafana for metrics. Pivot to Kibana to search logs. Then jump to Lumigo, but that only covers the Lambda functions, not the Node.js backend throwing the actual errors. Three tabs become five. Five become eight. Half the incident is gone and your t...
In microservices and cloud-native environments, vulnerabilities buried in transitive dependencies or runtime behaviors can go undetected for weeks. During that time, your attack surface keeps expanding and production systems remain exposed. The longer remediation is delayed, the greater the risk of exploitation, compliance failures, and operational disruption.
May 20...Backend systems rarely fail in obvious ways. More often, they degrade over time. CPU usage slowly increases, request latency creeps up, and costs rise without a clear explanation. Metrics tell you something is wrong, traces show where requests go, but neither explains why your code behaves the way it does under real load.
Continuous profiling ...