StackGres: Cloud-Native PostgreSQL on Kubernetes
Presented by:
Alvaro Hernandez
Álvaro is a passionate database and software developer. Founder of OnGres ("ON postGRES"), he has been dedicated to Postgres and R&D in databases for more than two decades.
Álvaro is at heart an open source advocate and developer. He has created software like StackGres, a Platform for running Postgres on Kubernetes; or ToroDB (MongoDB on top of Postgres), both open source projects.
As a well- known member of the PostgreSQL Community, Álvaro founded the non-profit Fundación PostgreSQL (organizer of PostgreSQL Ibiza conference) and the Spanish PostgreSQL User Group. He has contributed, among others, the SCRAM authentication library to the Postgres JDBC driver.
You can find him frequently speaking at PostgreSQL, database, Java and cloud (becoming an AWS Data Hero in 2019) conferences. In the last 10 years, Álvaro has completed more than 140 tech talks (https://aht.es).
No video of the event yet, sorry!
An enterprise-grade PostgreSQL requires many complementary technologies to the database core: high availability and automated failover, monitoring and alerting, centralized logging, connection pooling, etc. That is, a stack of components around PostgreSQL.
Kubernetes has enabled a new model to deploy software abstracting away the infrastructure. However, containers are not lightweight VMs, and the packing of software paradigms that work on VMs are not valid on containers/Kubernetes. How should be PostgreSQL and its stack be deployed on Kubernetes?
Enter StackGres. An open source software that is the result of re-engineering PostgreSQL to become cloud native. Join this talk to learn and see demos of how to generate PostgreSQL minimal containers; how the sidecar pattern is used (abused) to integrate PostgreSQL’s stack components, and how the networking and storage are handled.
More info: stackgres.io.
- Date:
- Duration:
- 50 min
- Room:
- Conference:
- Postgres Conference 2020
- Language:
- Track:
- Ops and Administration
- Difficulty:
- Easy