Operations | Monitoring | ITSM | DevOps | Cloud

It’s been a year and a half since Failure Flags was released. Since then, customers have used Failure Flags to run thousands of tests for applications running on serverless, container, and service meshes.

Atlassian recently announced they’ll be shutting down Opsgenie, their popular on-call alerting tool. After June 4, 2025, no new Opsgenie accounts will be created, and by April 5, 2027, the service will shut down completely. Users don’t seem happy about it. If you’re currently using Opsgenie, this news is significant. A key part of your incident response process is disappearing, and Atlassian suggests moving to their other products, like Jira Service Management or Compass.

Ever wrapped up an incident, thought 'Phew, glad that’s over,' only to feel your stomach drop when you see the dreaded "Incident Debrief" on your calendar? We've all been there. Incident debriefs don't need to feel like sitting through your least favorite school subject. They can (and should!) actually be engaging and useful. At incident.io, we've found a simple, repeatable, and blameless framework.

Believe it or not, we are in the middle of one of the biggest cloud repatriation movements of the past decade. More than ever, companies are rushing to find infrastructure solutions that better suit their needs. Over the past decade, hyperscalers have dominated the market, generating trust and, in some cases, overconfidence in software development. Drawn in by promises of reliability, ease of use, and ultimate flexibility, teams turned to providers like AWS, GCP, and Azure.

Linux has a reputation as an operating system for programmers. So, if you are a software developer who designs MySQL-based solutions, chances are high that you will do it on Linux. Thus, it would be great to have a MySQL IDE for Linux to simplify the work. But the question arises: is there an appropriate Linux DB tool for MySQL with a GUI?

In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM) to copy entire production databases, scrub any sensitive information, and then spin up test environments from these sanitized data sets. While TDM gets the job done, it can be costly, time-consuming, and can quickly become outdated.