Operations | Monitoring | ITSM | DevOps | Cloud

Samsung SDS boosts operational efficiency with Applications Manager, reducing MTTR by 60%.

The AWS CDK lets users build as Infrastructure as Code (IaC) reliable, scalable, and cost-effective applications in their cloud environments. With the AWS CDK, developers can use various supported programming languages to create constructs (reusable cloud components) and compose them together into stacks and applications.

Today is a special day at Sentry, as today we welcome Syntax to the family. We’ve long been fans of Scott and Wes, of what they’ve built with Syntax, and of their general curiosity, drive, and hustle. As one of Sentry’s earliest partners, it’s been amazing to watch and experience their growth alongside our own. Today we’re going to talk about the next chapter of Syntax, one with increasing ambition, and one we hope you’ll be just as excited about as we are.

Logging in Kubernetes can help you track the health of your cluster and its applications. Logs can be used to identify and debug any issues that occur. Logging can also be used to gain insights into application and system performance. Moreover, collecting and analyzing application and cluster logs can help identify bottlenecks and optimize your deployment for better performance.

Real User Monitoring (RAM) and Synthetic Monitoring are two different approaches to website and application monitoring. They both serve the same purpose of ensuring optimal performance of a website or application, but they differ in how they collect data and the types of insights they provide. Understanding the difference between the two can help you determine which approach is best suited for your specific needs.

The explosive growth of interconnected data across distributed systems has disrupted traditional development, DevOps, and ITOps practices and forced many organizations to rethink their cloud strategies. Higher-velocity feature development and more responsive support requests involve developers throughout the delivery cycle and require them to monitor and observe application behavior before releasing it to production.

Depending on your business, MTTR stands for mean time to repair or mean time to recovery – but it can also mean resolution, resolve, or restore. No matter how you define it, the basic measurement is the same: it’s the time it takes from when something goes down to when it is back and fully functional. This includes everything from finding the problem to fixing it. For ITOps teams, keeping MTTR to an absolute minimum is crucial.

At Cribl, we understand precisely what challenges our customers face when running complex searches, and the importance of getting exactly what they need with their queries. Cribl Search’s latest feature, Operator Preview, allows data analysts to test search operators without committing to a full search. It saves time, reduces costs, and streamlines your everyday data analysis.