Kubernetes makes it easy to deploy your microservice applications. Here are some of the ways AppDynamics helps ensure the health of those apps at scale.
Kubernetes is a popular container orchestration system at the heart of the Cloud Native Computing Foundation projects. It automates the deployment, lifecycle, and operations of containers, containerized applications, and "pods," which are groups of one or more containers. The platform itself, along with each of these workloads, may generate event data. There are different kinds of data associated with these processes.
You may have seen the Honeycomb white paper on metrics, and want to use the power of Honeycomb with metrics. Sending infrastructure metrics data to Honeycomb has always been possible, but with our focus on debugging the user experience inside the application, it isn’t the first or most obvious thing to do. This post will discuss why we use metrics in general and how to think about metrics in Honeycomb.
API Observability is a key component to properly execute APIOps Cycles and ensure your building something of value for your API users. If you’re not familiar with APIOps Cycles, take a look at this guide which provides an agile framework to quickly build APIs that are business-oriented and serve customer needs. API Observability itself is an evolution of traditional monitoring and born out of control systems theory.
Today IBM announced the definitive agreement to acquire Instana. The acquisition will help businesses better manage the complexity of modern applications that span the hybrid cloud landscape and infuse AI in all areas of IT Management. You’ll also find a blog post from Pratik Gupta, CTO Hybrid Cloud Management and IBM Distinguished Engineer, AI and Automation Platform, here.
To be successful in Observability, you must have the ability to observe the behavior of a system and derive its health state from it. But deriving the health state of any given application entity requires the observability system to understand the context of every piece of information given, to automatically correlate all the data, and deliver hard evidence – quickly – on what is going on.
An ever-increasing number of System architectures and deployment strategies depend on Kubernetes-based environments. Kubernetes (also known as k8s) is an orchestration platform and abstract layer for containerized applications and services. As such, k8s manages and limits container available resources on the physical machine, as well as takes care of deployment, (re)start, stop, and scaling of service instances.