How we cook PostgreSQL at 2GIS in the DevOps age
The dark age for PostgreSQL started at 2GIS after transitioning to the microservice architecture. Every team tried to cook database on their own — by installing instances, juggling versions, trying to code deployments with numerous tools or using manual operations. It was the right time to develop a “silver bullet” — a common set of tools to solve all the problems at once. We created our own cluster solution based on well-known PostgreSQL, repmgr, pgbouncer and Barman. Despite of the complexity of our final solution, we developed a repeatable flexible deployment to accelerate postgresql cluster deployment and management. Also we deployed the our own cluster to consolidate all databases. It helped to eliminate team efforts for database management and focus on their main goals. Failover works, we tried it :-)
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Другие доклады
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Artemy Ryabinkov Avito
Best Practices and Practical Nuances when working with Postgres using Go
In my talk I'll tell you about practices of working with Postgres in the Go-services. I’ll describe general advantages and disadvantages of the basic tools that are commonly used when working with Postgres using Go. Of course, we will touch on the nuances that need to be taken into account when your services are running inside the Kubernetes. I will also talk about Avito’s experience in providing a database of product’s developers. This presentation will be of interest to developers who want to avoid problems when working with Postgres, and will be useful to DBA who want to know what difficulties customers face in their database.
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Joshua Drake Command Prompt, Inc.
The Power of Logical Replication
One of the most soft after features of Postgres v10 is logical replication. In this presentation we will cover what Logical Replication is, how it compares to Binary (Streaming Replication), how Logical Replication works, configuring Logical Replication, Logical Replication limitations, gotchas, security and management. We will also discuss potential deployed architectures with Logical and Binary Replication and some neat features of the underlying technology.
At the end of this presentation an attendee with a reasonable understanding of how to manage Postgres will be able to configure Logical replication for use.
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ММарат Сурмашев Health SamuraiNikolay Ryzhikov Health Samurai
Using JSONB
JSONB in PostgreSQL has interesting properties for design and development of business systems with heavy domain, helping to fight against complexity and variability. We will discuss the trade-offs of the JSONB approach. Using an open source project for Health IT - fhirbase we will:
- load synthetic medical data into PostgreSQL
- learn how to search and index this data (gin, jsquery, json-knife)
- use JSON aggregation to build complex queries (GraphQL)
- see how this data can be modified and validated
- discuss architecture consequences of JSONB usage
Technical requirements:
- docker
- docker-compose
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Jignesh Shah Amazon Web Services
Deep Dive into the RDS PostgreSQL Universe
In this session we will deep dive into the exciting features of Amazon RDS for PostgreSQL, including new versions of PostgreSQL releases, new extensions, larger instances. We will also show benchmarks of new RDS instance types, and their value proposition. We will also look at how high availability and read scaling works on RDS PostgreSQL. We will also explore lessons we have learned managing a large fleet of PostgreSQL instances, including important tunables and possible gotchas around pg_upgrade.