Book Image

Becoming KCNA Certified

By : Dmitry Galkin
Book Image

Becoming KCNA Certified

By: Dmitry Galkin

Overview of this book

The job market related to the cloud and cloud-native technologies is both growing and becoming increasingly competitive, making certifications like KCNA a great way to stand out from the crowd and learn about the latest advancements in cloud technologies. Becoming KCNA Certified doesn't just give you the practical skills needed to deploy and connect applications in Kubernetes, but it also prepares you to pass the Kubernetes and Cloud Native Associate (KCNA) exam on your first attempt. The book starts by introducing you to cloud-native computing, containers, and Kubernetes through practical examples, allowing you to test the theory out for yourself. You'll learn how to configure and provide storage for your Kubernetes-managed applications and explore the principles of modern cloud-native architecture and application delivery, giving you a well-rounded view of the subject. Once you've been through the theoretical and practical aspects of the book, you'll get the chance to test what you’ve learnt with two mock exams, with explanations of the answers, so you'll be well-prepared to appear for the KCNA exam. By the end of this Kubernetes book, you'll have everything you need to pass the KCNA exam and forge a career in Kubernetes and cloud-native computing.
Table of Contents (22 chapters)
1
Part 1: The Cloud Era
4
Part 2: Performing Container Orchestration
7
Part 3: Learning Kubernetes Fundamentals
12
Part 4: Exploring Cloud Native
16
Part 5: KCNA Exam and Next Steps

Summary

In this chapter we’ve learned a lot about Telemetry and Observability. The three telemetry types or signals are logs, metrics and traces which provide valuable insights into the system observed from slightly different perspectives. An observable system is the one that is constantly monitored where we know the state based on the telemetry data that serves as evidence.

We’ve also learned about projects such as OpenTelemetry that can help with instrumentation and simplify the work needed to implement telemetry. Had a quick introduction to projects such as Zipkin and Jaeger for tracing and had a closer look at Prometheus – a fully featured monitoring platform.

Prometheus supports both Push and Pull operating models for metric collection, but dominantly uses Pull model to periodically scrape the metric data at (/metrics endpoint) and save it in TSDB in time-series format. Having metrics in TSDB allows us visualizing the data in software such as Grafana...