Today we need to stop firefighting and go more to an automated and predictive environment. In a lot of organizations I see IT running a round like crazy to resolve and detect simple problems while the environments are getting more complex with cloud, hybrid, multi cloud etc.. also you can test performance before your app is going from test to acceptance and production, this way you resolve performance problems in a DEVOps with AIOPS and avoid them before they running in production. What is AIOps: IT Operations with the assistance of AI
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: January 2026.
Application Performance Monitoring (APM) and Observability help improve the efficiency of applications by providing visibility and insights into system performance.
Application Performance Monitoring and Observability involve tracking and analyzing the performance of applications and infrastructure. APM focuses on detecting and diagnosing performance issues, while Observability emphasizes gaining insight into the internal state of systems. By combining these approaches, IT teams can ensure...
Today we need to stop firefighting and go more to an automated and predictive environment. In a lot of organizations I see IT running a round like crazy to resolve and detect simple problems while the environments are getting more complex with cloud, hybrid, multi cloud etc.. also you can test performance before your app is going from test to acceptance and production, this way you resolve performance problems in a DEVOps with AIOPS and avoid them before they running in production. What is AIOps: IT Operations with the assistance of AI