Book Image

The KCNA Book

By : Nigel Poulton
Book Image

The KCNA Book

By: Nigel Poulton

Overview of this book

There is a huge benefit in building small, specialized, single-purpose apps that can self-heal, auto scale, and update regularly without needing downtime. Kubernetes and cloud-native technologies come in handy in building such apps. Possessing the knowledge and skills to leverage Kubernetes can positively enhance possibilities in favor of architects who specialize in cloud-native microservices applications. ‘The KCNA Book’ is designed to help those working in technology with a passion to become certified in the Kubernetes and Cloud-Native Associate Exam. You will learn about containerization, microservices, and cloud-native architecture. You will learn about Kubernetes fundamentals and container orchestration. The book also sheds light on cloud-native application delivery and observability. It focuses on the KCNA exam domains and competencies, which can be applied to the sample test included in the book. Put your knowledge to the test and enhance your skills with the all-encompassing topic coverage. Upon completion, you will begin your journey to get the best roles, projects, and organizations with this exam-oriented book.
Table of Contents (12 chapters)
9
8: Sample test
Appendix B: Sample Test answers

Chapter summary

In this chapter, you learned the three main types of telemetry are logs, metrics, and traces. Logs are application events and are a great tool for determining why an application or microservice isn’t working. Metrics provide historical trends and help identify changes over time. Traces let you track requests as they traverse today’s complex microservices apps. You also learned that the OpenTelemetry project offers specifications and instrumentation to standardise and simplify the way we generate and store telemetry.

You learned that Prometheus is the most popular monitoring platform used with Kubernetes and is often coupled with Grafana for dashboards and visualisations. It expects services to expose telemetry on the /metrics endpoint and operates a pull model where it “scrapes” the data at periodic intervals. It has a push gateway for getting telemetry from short-lived processes, and an alert manager for sending out alerts.

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