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Mastering OpenStack

You're reading from   Mastering OpenStack Design, deploy, and manage a scalable OpenStack infrastructure

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781784395643
Length 400 pages
Edition 1st Edition
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Author (1):
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Omar Khedher Omar Khedher
Author Profile Icon Omar Khedher
Omar Khedher
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Table of Contents (13) Chapters Close

Preface 1. Designing OpenStack Cloud Architecture 2. Deploying OpenStack – DevOps and OpenStack Dual Deal FREE CHAPTER 3. Learning OpenStack Clustering – Cloud Controllers and Compute Nodes 4. Learning OpenStack Storage – Deploying the Hybrid Storage Model 5. Implementing OpenStack Networking and Security 6. OpenStack HA and Failover 7. OpenStack Multinode Deployment – Bringing in Production 8. Extending OpenStack – Advanced Networking Features and Deploying Multi-tier Applications 9. Monitoring OpenStack – Ceilometer and Zabbix 10. Keeping Track for Logs – Centralizing Logs with Logstash 11. Tuning OpenStack Performance – Advanced Configuration Index

Two eyes are better than one eye

OpenStack produces tons of log files in a real production environment. It becomes harder for a Cloud operating team to analyze and parse them by extracting data in each file using a few combinations of tail, grep, and perl tools. The more hosts you build, the more logs you have to manage. Moving forward a few paces should be accompanied by a serious trace keeper. To overcome such challenges, the log environment must become centralized. A good way to accomplish this is by starting flowing logs in a dedicated rsyslog server. You may put so much data that your log server may start craving for a larger storage capacity. Furthermore, archiving the former data will not be handy when you need to extract information for a particular context. Additionally, correlating the logs' data that has a different format (taking into consideration the RabbitMQ and MySQL logs) with the generated event might even be impossible. So, what we need at this point is a set of...

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