Operations | Monitoring | ITSM | DevOps | Cloud

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.

Observability is critical for web operations to ensure that the application is working as expected and to identify any potential issues. However, setting up observability has traditionally been challenging because it can take hours to set up all the infrastructure, instrument your code and enable observability in production. But now there is a better way using native support for Django in Charmcraft and Rockcraft which has observability built in and ready to go!

As a Performance Field Technical Consultant working with customers in the legal industry, my primary focus is to ensure that technology enhances productivity rather than hinders it. Legal professionals rely on iManage as a business-critical application for document management, collaboration, and compliance. However, with the increasing shift to the cloud and integration with platforms like O365, ensuring a seamless user experience has become more complex.

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.