As software development continues to evolve and become more complex, the need for efficient and effective deployment strategies has become increasingly important. This is where deployment pipelines come in. When it comes to software development, a deployment pipeline is a powerful automated tool that facilitates the fast and accurate transition of new code changes and updates from version control to the production environment.

The sooner you know about a problem, the sooner you can address it, right? Imagine if you could do that in your most important apps and software. Well, that’s exactly what MTTA measures. Let’s take a look.

This is the story of an insurance company that was getting six million IT alerts every 90 days and how they used BigPanda’s AIOps to reduce it to less than 50,000. Before we get into that though, let’s take a step back. How did we, as an IT sector, get to a place where organizations receive 6,000,000 IT alerts in the first place?

Slack is one of the most widely used messaging Apps, providing collaboration and chat solutions to businesses. We at Squadcast understand that most of your work happens over Slack. Hence, we have made improvements to our Slack integration capabilities by introducing a bunch of UI and functional improvements. This blog will give you an overview of the latest improvements supported by this integration, which we hope will help in better collaboration and Incident Management.

Be sure to register for the launch webinar on Thursday, March 30th to learn more about the latest release from the PagerDuty Operations Cloud. Rundeck by PagerDuty has long helped organizations bridge operational silos and automate away IT tasks so teams can focus more time on building and less time putting out fires. And while this mission still rings true today, our vision is to extend this reality and revolutionize all operations while continuing to build trust.

Mean Time To Repair, or MTTR, is a critical metric in IT incident management that measures the average time it takes to fix a system failure. The meaning of MTTR can be understood as the average duration needed for an IT team to recover from an incident. It is a fundamental metric for IT teams to track and analyze their efficiency in resolving incidents.

In today’s turbulent times, companies big and small are being pushed to do more with less. Budgets are getting tighter and companies are being pressured to serve customers who demand 24/7 availability from their applications and services. To meet these demands and remain competitive, enterprises are adopting cloud-first strategies and developing applications with microservice architectures.