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How to improve your Crash Free Users score in minutes

If you're reading this blog, you likely already know the importance of quality software. But with the overwhelming number of metrics that can be monitored and improved, development teams are struggling with what metrics they should prioritize to have the most significant impact. The Crash Free Users score in Raygun is a perfect place for development teams who care about software quality to focus their efforts. It tells you what percentage of users didn't encounter a crash or error while using your software and is an ideal north star to gauge the overall quality of your software.

Detecting incidents without components

StatusGator monitors services and their individual components, so you can stay informed about the systems you rely on – and filter down to only the components you care about. Most status pages do a good job of tagging incidents to the affected components. But sometimes providers publish incident updates without marking any components as impacted, even when the incident clearly affects something real.

January 2026: IsDown Users Saved 9.2 Hours with Early Outage Detection

In January 2026, IsDown's early detection system gave users a cumulative advantage of 9.2 hours across 34 incidents — that's over half a business day of advance warning before vendors officially acknowledged their outages. The largest single detection advantage? A massive 2.2 hours for a SendGrid email delivery issue that left customers in the dark while their emails failed to reach Microsoft inboxes.

How an AI assistant and MCP server deliver real-time cloud cost insights

Cloud costs don’t grow quietly. They spike, drift, and surprise teams at the worst possible moments, usually when someone finally opens a dashboard. While cloud cost management tools are powerful, getting quick answers often still means navigating multiple views, applying filters, exporting reports, and looping in the right people. But what if cloud cost analysis worked more like a conversation?

AI SRE in Practice: Tracing Policy Changes to Widespread Pod Failures

Policy changes in Kubernetes are supposed to improve security, enforce standards, or optimize resource usage. But when a policy change triggers cascading pod failures across multiple namespaces, the investigation becomes a race to identify what changed before more workloads are affected.

Silent Failure in Production ML: Why the Most Dangerous Model Bugs don't Throw Errors

You’ve done it. Your machine learning model is live in production. It’s serving predictions, powering features, and quietly doing its job. Dashboards are green. There are no errors in the logs. Nothing appears broken. And yet, something is wrong. Predictions are getting less reliable. Users are waiting a little longer for responses. Conversion rates are slipping. Trust is eroding, but no alert fires, no system crashes, and no one knows there’s a problem until the damage has been done.

Agentic AI in DevOps: The Architect's Guide to Autonomous Infrastructure | Harness Blog

For the last decade, the holy grail of DevOps has been Automation. We spent years writing Bash scripts to move files, Terraform to provision servers, and Ansible to configure them. And for a while, it felt like magic. But any seasoned engineer knows the dirty secret of automation: it is brittle. Automation is deterministic. It only does exactly what you tell it to do. It has no brain. It cannot reason.

6 Underused Git Commands That Solve Real Developer Problems

Most developers spend hours each week wrestling with Git. Not because they’re bad at their jobs, but because Git doesn’t actively teach you its most powerful features. At GitKon 2025, our Senior Product Marketing Manager Jonathan Silva revealed 6 underused Git commands that solve the workflow problems developers face every day: botched rebases, lost commits, and merge conflict chaos. These aren’t advanced techniques.

How to Avoid the SharePoint Preservation Hold Library PHL Storage Trap

Most executives assume that moving to Microsoft 365 simplifies cost control. Storage is “in the cloud”, usage is elastic, and governance is handled through policy. In reality, many organisations face a very different experience. They invest heavily in retention policies to meet legal and regulatory requirements, yet their SharePoint storage costs continue to rise year after year, even after large cleanup programs.