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The DevOps 2.5 Toolkit

You're reading from   The DevOps 2.5 Toolkit Monitoring, Logging, and Auto-Scaling Kubernetes: Making Resilient, Self-Adaptive, And Autonomous Kubernetes Clusters

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838647513
Length 322 pages
Edition 1st Edition
Concepts
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Author (1):
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Viktor Farcic Viktor Farcic
Author Profile Icon Viktor Farcic
Viktor Farcic
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Table of Contents (9) Chapters Close

1. Autoscaling Deployments and StatefulSets Based on Resource Usage FREE CHAPTER 2. Auto-scaling Nodes of a Kubernetes Cluster 3. Collecting and Querying Metrics and Sending Alerts 4. Debugging Issues Discovered Through Metrics and Alerts 5. Extending HorizontalPodAutoscaler with Custom Metrics 6. Visualizing Metrics and Alerts 7. Collecting and Querying Logs 8. What Did We Do? 9. Other Books You May Enjoy

Exploring logs collection and shipping

For a long time now, there are two major contestants for the "logs collection and shipping" throne. Those are Logstash (https://www.elastic.co/products/logstash) and Fluentd (https://www.fluentd.org/). Both are open source, and both are widely accepted and actively maintained. While both have their pros and cons, Fluentd turned up to have an edge with cloud-native distributed systems. It consumes fewer resources and, more importantly, it is not tied to a single destination (Elasticsearch). While Logstash can push logs to many different targets, it is primarily designed to work with Elasticsearch. For that reason, other logging solutions adopted Fluentd.

As of today, no matter which logging product you embrace, the chances are that it will support Fluentd. The culmination of that adoption can be seen by Fluentd's entry into...

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