Containers have changed how applications are designed, built, deployed, and maintained.
By creating a consistent, lightweight environment for applications, they offer velocity and improved time-to-market for software developers, and essentially eradicate the “works on my machine” problem inherent with monolithic applications. In no uncertain terms, container-based applications help companies differentiate themselves with fast, intuitive, and personalized digital experiences.
But they also introduce unprecedented complexity.
Containers are ephemeral in nature and are blurring the once-solid lines between application and infrastructure, requiring a new approach to their management and orchestration.
So even though Kubernetes makes it easier to deploy and operate applications in a microservices architecture, it’s also incredibly difficult to manage at scale. Because it doesn’t address some very basic—and very important—issues like cluster health and hierarchy, and how those affect other parts of the IT stack.
If a pod is failing, Kubernetes may be able to resolve it temporarily by spinning up a replacement pod, but it won’t be able to show you all the related logs, or let you quickly figure out why it’s crashing, and which other parts of your stack are impacted.
That’s the paradox of modern software environments.
Organizations are leveraging modern application architectures and deployment methodologies to deliver a better experience for their customers, but how do they do it without inadvertently compromising that customer experience with downtime, bugs, or latency?
In this guide we’ll take a look at how teams can successfully adopt modern software architectures like Kubernetes without jeopardizing end-user experiences.