Enabling enterprise logging with Elasticsearch, Kibana, and ClusterControl
Today’s typical enterprise database deployment footprint consists of different types of databases, each suited to the applications serving specific business needs. This may include SQL (MySQL/MariaDB, PostgreSQL, Redis, SQL Server, etc) and NoSQL (MongoDB, Redis,...
Introduction to the Severalnines ClusterControl API and SDK – Part I
This is Part I of a multi-part Several9s blog series on how to use Severalnines' ClusterControl REST API client SDK to programmatically control ClusterControl in order to accomplish many facets of database life cycle management...
ClusterControl adds scale out for Redis, SQL Server, and Elasticsearch in latest release
We’re excited to announce the latest release of ClusterControl — version 1.9.4. This major release adds scale out and in to Redis Sentinel, MS SQL Server 2019, and Elasticsearch clusters, shared filesystem snapshot repository for...
What is Elasticsearch and why use it?
Managing big data can be very taxing and stressful, especially when speed, reliability, scalability, and high availability are requirements for your organization. Your traditional, orthodox databases cannot provide the types of blazing speeds required to...
A true alternative to Elastic Cloud for Elasticsearch ops automation
The latest release of ClusterControl —v1.9.3—provides support for Elasticsearch, the most popular full-text search and analytics engine around today. By supporting it, we’ve re-opened the door for Elasticsearch users searching for a way to fully...
ClusterControl adds support for Elasticsearch in latest release
We are excited to announce the latest release of ClusterControl — version 1.9.3. This release introduces support for Elasticsearch, improvements for audit logging and tracking all user activities in one central location, and the latest improvements...
Managing Multiple Database Technologies with ClusterControl
Managing multiple open source database technologies in any environment can be a daunting task, especially if you have fewer resources. The scenario could be worse if deployment, monitoring, and other database management tasks are done manually....