Operations | Monitoring | ITSM | DevOps | Cloud

Application performance monitoring (APM) is much more than capturing and tracking errors and stack traces. Today’s cloud-based businesses deploy applications across various regions and even cloud providers. So, harnessing the power of metadata provided by the Elastic APM agents becomes more critical. Leveraging the metadata, including crucial information like cloud region, provider, and machine type, allows us to track costs across the application stack.

Artificial intelligence (AI) has emerged as a transformative force, empowering businesses and software engineers to scale and push the boundaries of what was once thought impossible. However as AI is accepted in more professional spaces, the complexity of managing AI systems seems to grow. Monitoring AI usage has become a critical practice for organizations to ensure optimal performance, resource efficiency, and provide a seamless user experience.

In the face of an ever-evolving cybersecurity landscape, Splunk never rests. Today, we're ecstatic to share the release of Splunk User Behavior Analytics (UBA) 5.3, delivering power and precision in one package, and pushing the boundaries of what's possible in user and entity behavior analytics.

In the world of observability, having the right amount of data is key. For years Apica has led the way, utilizing synthetic monitoring to evaluate the performance of critical transactions and customer flows, ensuring businesses have important insight and lead time regarding potential issues.

To maximize the performance and value of your software apps, networks and systems, it’s critical to eliminate performance bottlenecks. Performance testing has become critical in every organization to reveal and fix performance bottlenecks, ensuring the best experience to end users. This article explains what performance testing is, its importance, and the various types of performance testing.

Cloud analytics is the process of storing and analyzing data in the cloud and using it to extract actionable business insights. Simply one shade of data analytics, cloud analytics algorithms are applied to large data collections to identify patterns, predict future outcomes and produce other information useful to business decision-makers.

In today's market, companies undergoing digital transformation require secure and reliable systems to meet customer demands, handle macroeconomic uncertainty and navigate new disruptions. Digital resilience is key to providing an uninterrupted customer experience and adapting to new operating models. Companies that prioritize digital resilience can proactively prevent major issues, absorb shocks to digital systems and accelerate transformations.

In previous blogs, we explored how Elastic Observability can help you monitor various AWS services and analyze them effectively: One of the more heavily used AWS container services is Amazon ECS (Elastic Container Service). While there is a trend toward using Fargate to simplify the setup and management of ECS clusters, many users still prefer using Amazon ECS with EC2 instances.