PgConf.Russia 2020

Kubernetes is the new way of deploying software, programmatically, on almost any infrastructure (be it cloud or on-prem). But is a complex beast. How to get started? How to dive deeper? What are the specific best-practices and special hints for Postgres DBAs dealing with Kubernetes? Join this half-day tutorial to learn, practically, among other topics:

• How to quickly get started with Kubernetes
• Manage storage
• Manage services, networking and ingress/egress
• How to make Postgres cloud-native in Kubernetes
• Do a show-run of existing Postgres operators, including Zalando, CrunchyData and StackGres.

This tutorial is very practical. BYOL! (Bring Your Own Laptop). With Kubernetes installed! (check microk8s, minikube or k3s if you don’t have any installed.

When migrating data from one DBMS to another, the question arises: choose a third-party tool or to program the migration yourself? Companies, trying to grow competencies within themselves, choose the second option. And they come across the "invention of their own bicycles". However, the market has powerful free data migration tools. One such tool is Pentaho Data Integration, part of the Pentaho Community Edition. The report will discuss the use of this package for data migration between Oracle and PostgreSQL. Particular attention will be paid to the problems with using this tool, and to the tasks of testing for the completeness and integrity of migrated data.

Small video illustration:

I will speak about our experience in solving the fault-tolerance problem for PostgreSQL, which options we reviewed and how we chose Patroni.

I will cover solution testing, quick implementation to the production and issues we faced as well as the way we solved them.

Odd things in query plan analysis - wasted time and "unnecessary" buffers.
Structural hints in a plan. How to help a developer with optimization without writing a single line of code. How to match plan nodes with query text and take advantage of this information.