PgConf.Russia 2020

Last year I made a talk about unexpected PostgreSQL bottlenecks, which could make sad surprise to user (or DBA). Feedback to my talk was very positive. Additionally I have new material after year. This is why I'm making a sequel including new unexpected situations when your database hangs. This time focus will be on multicore hardware platforms, but not only them.

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.

In the report I will talk about how Zabbix appeared in our company, how we lived with Oracle, why we decided to switch to PostgreSQL, what problems we had during the transition, and what software seemed like a good choice for working with PostgreSQL.

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.