Shipping complex applications at high velocity lead to increased failures. Longer pipelines, scattered microservices, and more code inherently lead to bigger complexity where small mistakes may cost you big time.

Elastic Security’s developer support team has recently seen a surge in reports from customers about sluggish performance in our UI. Our initial inspection of logs for troubleshooting provided some insights, but not enough for a true fix. Luckily, we have Elastic Observability and its APM capabilities to dive in deeper and look under the hood at what was really happening within Elastic Security. And, more importantly, how we could improve its performance for customers.

At Cisco and AppDynamics, we believe that OpenTelemetry™ is the future of observability. To that end, we’re working hard alongside the open source community to ensure the telemetry you collect can be leveraged to deliver the world-class business insights you need.

Monitoring is no longer simply measuring whether your systems are running or are down. Rather, modern monitoring is an ongoing effort of collecting and analyzing data to identify and resolve issues quickly, prevent major disruptions, and ensure performance requirements are always met.

We’ve made some big changes under the hood at Honeycomb to give you better control over how you put your apps data to work—we’ve expanded our core data model with formal Environments and Services! In short, the best observability (o11y) platform in town just got better! Before we dig in, an important note. Existing Honeycomb teams are not impacted by this update. If you’re already a Honeycomb user, congratulations! Your team is now a Honeycomb Classic team.

Last week, Cribl launched the latest component of its observability architecture: Cribl Edge. ICYMI, Cribl Edge is a next generation observability data collector that greatly simplifies gathering your metrics, events, and logs. Edge incorporates all of the capabilities of Cribl Stream’s workers, allowing you to route, redact, filter, and enrich data directly from the source. Why is this important?

Modern digital organizations have rapidly adopted microservices-based architecture for their applications. Microservices-based apps have components designed around business capabilities serving a specific purpose. It enables smaller engineering teams to own specific services that lead to increased productivity. But componentization also leads to complexity. Today’s modern internet-scale businesses have hundreds or thousands of microservices.

A multicloud strategy is a necessity for modern businesses, as the recent AWS outages made clear, but managing this infrastructure remains a huge challenge. Infrastructure management teams have long struggled to juggle diverse technology solutions, policies and services to get access to a point-in-time view of their resources. The result is either waste through overprovisioning or huge overheads for nitpicking manual management and repetitive tasks.