PgConf.Russia 2020

In May 2019 «Postgres Professional» launched the PostgreSQL Certification Program. Now you can not only get training in our courses, but also confirm your knowledge by passing an appropriate set of tests.

In this presentation, I will share the results of the first months of the program and answer the most frequently asked questions:

Where can I get information about the certification program?
PostgreSQL or Postgres Pro certification?
Certificates for PostgreSQL version 10. When will you upgrade to the current version?
Do I have to attend training centers?
Can I pass the test remotely? Not in Moscow?
Is it possible to take several tests at once in one day?
How to prepare for the test? Are there any examples of training questions?
During the test I got an incorrect question, what should I do?
How to find out exactly which questions the answers were not correct?
When can I retake after an unsuccessful attempt?
How to appeal the test results? 

I like stored procedures - it is great technology. But like any other technologies it allows to write not well optimized code. It is not easy to write optimized code, sql statements in complex large applications. On second hand, there are some tools, that can be used very easily, that can help. Postgres has built-in tracking functions possibility. There are PLProfiler and plpgsql_check. With these tools is easy work to detect slow part of applications.With this knowledge, the fix of performance issue is less magic.

Postgres has always had strong support for relational storage. However, there are many cases where relational storage is either inefficient or overly restrictive. This talk shows the many ways that Postgres has expanded to support non-relational storage, specifically the ability to store and index multiple values, even unrelated ones, in a single database field. Such storage allows for greater efficiency and access simplicity, and can also avoid the negatives of entity-attribute-value (eav) storage. The talk will cover many examples of multiple-value-per-field storage, including arrays, range types, geometry, full text search, xml, json, and records.

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.