- cAdvisor and Heapster.
- Kube-system.
- Grafana.
- A collector.
- Stackdriver.
- 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.
Getting Started with Kubernetes
By :
Getting Started with Kubernetes
By:
Overview of this book
Kubernetes has continued to grow and achieve broad adoption across various industries, helping you to orchestrate and automate container deployments on a massive scale.
Based on the recent release of Kubernetes 1.12, Getting Started with Kubernetes gives you a complete understanding of how to install a Kubernetes cluster. The book focuses on core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You will understand cluster-level networking in Kubernetes, and learn to set up external access to applications running in the cluster.
As you make your way through the book, you'll understand how to manage deployments and perform updates with minimal downtime. In addition to this, you will explore operational aspects of Kubernetes , such as monitoring and logging, later moving on to advanced concepts such as container security and cluster federation. You'll get to grips with integrating your build pipeline and deployments within a Kubernetes cluster, and be able to understand and interact with open source projects. In the concluding chapters, you'll orchestrate updates behind the scenes, avoid downtime on your cluster, and deal with underlying cloud provider instability within your cluster.
By the end of this book, you'll have a complete understanding of the Kubernetes platform and will start deploying applications on it.
Table of Contents (18 chapters)
Preface
Free Chapter
Introduction to Kubernetes
Building a Foundation with Core Kubernetes Constructs
Working with Networking, Load Balancers, and Ingress
Implementing Reliable Container-Native Applications
Exploring Kubernetes Storage Concepts
Application Updates, Gradual Rollouts, and Autoscaling
Designing for Continuous Integration and Delivery
Monitoring and Logging
Operating Systems, Platforms, and Cloud and Local Providers
Designing for High Availability and Scalability
Kubernetes SIGs, Incubation Projects, and the CNCF
Cluster Federation and Multi-Tenancy
Cluster Authentication, Authorization, and Container Security
Hardening Kubernetes
Kubernetes Infrastructure Management
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