Presented by:

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arvind gupta

Diamanti
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Databases are a critical element of an enterprise IT environment. A significant percentage of your IT budget may go to pay licensing fees for proprietary databases. Modernizing your approach can make your database operations much more agile, enabling database as a service (DBaaS) and allowing you to operate your database environment at scale. Enterprises are seizing the opportunity to move away from expensive proprietary platforms in favor of open-source databases such as PostgreSQL that are well suited to container environments, scale faster, guarantee service levels, and cost less.

With containerized databases running on Kubernetes, developers and line-of-business teams can deploy a new database quickly without time consuming hardware configuration, and constant software installation and tuning. When running a PostgreSQL database cluster, the performance and availability characteristics of the Kubernetes platform are critical. High-performance PostgreSQL databases depend on network and storage I/O and SLA guarantees to assure your databases are not impacted by other workload. You have to make careful infrastructure choices to avoid being saddled with a solution that is overly complex and difficult to manage, that lacks the necessary performance, or that locks you into a specific vendor or cloud environment.

In this session we will talk about how you can manage and run high performance PostgresSQL clusters to achieve more than Million IOPS per nodes with PostgresSQL Operator for Kubernetes running on The Diamanti enterprise Kubernetes platform. We will see how developers and operators can take full advantage of Docker and Kubernetes with minimum effort. We will also demonstrate how quality of service (QoS) for storage and networking delivers the guaranteed performance for mission critical PostgresSQL Databases without getting impacted by low priority applications.

Date:
2019 September 19 16:10
Duration:
50 min
Room:
Winchester (1)
Conference:
Silicon Valley 2019
Language:
Track:
Ops and Administration
Difficulty:
Easy