DevOps is a movement to align IT with business needs. DevOps is about CAMS:
In MySQL we are constantly working to improve our products with these concepts and goals in mind. We are improving the monitoring MySQL Server by extending the depth of Performance_Schema and Sys_Schema with each new release, and adding new capabilities to MySQL Enterprise Monitor. We add new features to our tools to help with the deployment of Infrastructure-as-Code: the MySQL Shell and the adminAPI are examples of this. During this session, Fred will show you how to automate the deployment of a MySQL InnoDB Cluster with 3 nodes using Puppet. The Puppet recipe will use the new adminAPI to communicate with the nodes to create and/or join the cluster.
SQL has served IT for 30 years now and is far from being obsolete. In recent years NoSQL databases have emerged due to different needs of the developer. While offering the benefit of storing different data structures, almost every NoSQL engine has adopted SQL or an SQL-like query language back into the engine. There are advantages on both sides but how can one combine the power of SQL and NoSQL into one database? That question is answered in MySQL with a set of features for storing unstructured data in JSON. Out of the box MySQL now supports a JSON data type, a set of functions for manipulating JSON data, and the ability to query JSON using the power of SQL. Indexing is also supported via the addition of generated columns. It is now possible to combine the benefits of the schema and schemaless NoSQL world, and this session will explain the benefits and use cases for each approach.