Distributed systems open us up to myriad complexities due to their microservices architecture. There are always little problems that arise in the system. Therefore, engineering teams must be able to determine how to prioritize the challenges. Viewing logs and metrics of such systems enables engineers to know the shared state of the system components, thereby informing the decision-making on what challenge needs to be solved most immediately.

Learn how working with AppDynamics as a customer and design partner is helping the Cisco CX team improve Cisco’s offerings to customers via the CX Cloud platform.

If you’re new to the concept or just trying to keep up with the conversation, Gartner defines Observability as the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. Some folks think that Observability is a new buzzword, but in fact the term was coined in 1960 by Rudolf E. Kalman, a Hungarian-American engineer.

Meet the newest changemakers making an impact in the current climate crisis: Apeel Sciences. The ag-tech company is on a mission to eliminate the 8 percent of greenhouse gas emissions caused by global food waste with their edible, plant-derived food coating, which keeps fruits and vegetables fresh for up to twice as long.

Extended Berkeley Packet Filter (eBPF) is an exciting technology that provides secure, high-performance kernel programmability directly from the operating system. It can expose a wide range of applications and kernel telemetry that is otherwise unavailable. But with operating systems frequently processing very large volumes of network data, even with an efficient framework and cheap eBPF program runs, costs can add up quickly.

How do you go from A to Z with observability and OpenTelemetry? This post answers a question we hear often: “How do I get started on instrumentation with OpenTelemetry, while also following best practices for the long-term?” This article is all about taking you from A to Z on instrumentation. This will help you: We will use a simple greeting service application written in Node.js to understand the journey. You can find the pre-instrumented state here.