Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Getting Started with Kubernetes

You're reading from   Getting Started with Kubernetes Extend your containerization strategy by orchestrating and managing large-scale container deployments

Arrow left icon
Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788994729
Length 470 pages
Edition 3rd Edition
Arrow right icon
Authors (2):
Arrow left icon
Jesse White Jesse White
Author Profile Icon Jesse White
Jesse White
Jonathan Baier Jonathan Baier
Author Profile Icon Jonathan Baier
Jonathan Baier
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. Introduction to Kubernetes FREE CHAPTER 2. Building a Foundation with Core Kubernetes Constructs 3. Working with Networking, Load Balancers, and Ingress 4. Implementing Reliable Container-Native Applications 5. Exploring Kubernetes Storage Concepts 6. Application Updates, Gradual Rollouts, and Autoscaling 7. Designing for Continuous Integration and Delivery 8. Monitoring and Logging 9. Operating Systems, Platforms, and Cloud and Local Providers 10. Designing for High Availability and Scalability 11. Kubernetes SIGs, Incubation Projects, and the CNCF 12. Cluster Federation and Multi-Tenancy 13. Cluster Authentication, Authorization, and Container Security 14. Hardening Kubernetes 15. Kubernetes Infrastructure Management 16. Assessments 17. Other Books You May Enjoy

Chapter 8: Monitoring and Logging

  1. cAdvisor and Heapster.
  2. Kube-system.
  3. Grafana.
  4. A collector.
  5. Stackdriver.
  6. Good reasons to use Prometheus are as follows:
    • Simple to operate: It was built to run as individual servers using local storage for reliability.
    • It's precise: You can use a query language similar to JQL, DDL, DCL, or SQL queries to define alerts and provide a multi-dimensional view of status.
    • Lots of libraries: You can use more than ten languages and numerous client libraries in order to introspect your services and software.
    • Efficient: With data stored in an efficient, custom format both in memory and on disk, you can scale out easily with sharding and federation, creating a strong platform from which to issue powerful queries that can construct powerful data models and ad hoc tables, graphs, and alerts.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime