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 quality...

Mastering OpenStack
By :

Mastering OpenStack
By:
Overview of this book
Table of Contents (18 chapters)
Mastering OpenStack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Designing OpenStack Cloud Architecture
Deploying OpenStack – DevOps and OpenStack Dual Deal
Learning OpenStack Clustering – Cloud Controllers and Compute Nodes
Learning OpenStack Storage – Deploying the Hybrid Storage Model
Implementing OpenStack Networking and Security
OpenStack HA and Failover
OpenStack Multinode Deployment – Bringing in Production
Extending OpenStack – Advanced Networking Features and Deploying Multi-tier Applications
Monitoring OpenStack – Ceilometer and Zabbix
Keeping Track for Logs – Centralizing Logs with Logstash
Tuning OpenStack Performance – Advanced Configuration
Index
Customer Reviews