Case Studies on PostgreSQL

Even an experienced PostgreSQL DBA can not always say that upgrading between major versions of Postgres is an easy task, especially if there are some special requirements, such as downtime limitations or if something goes wrong. For less experienced DBAs anything more complex than dump/restore can be frustrating. In this talk I will describe why we need a special procedure to upgrade between major versions, how that can be achieved and what sort of problems can occur. I will review all possible ways to upgrade your cluster from classical pg_upgrade to old-school slony or modern methods like logical replication. For all approaches, I will give a brief explanation how it works (limited by the scope of this talk of course), examples how to perform upgrade and some advice on potentially problematic steps. Besides I will touch upon such topics as integration of upgrade tools and procedures with other software — connection brokers, operating system package managers, automation tools, etc. This talk would not be complete if I do not cover cases when something goes wrong and how to deal with such cases.

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In recent years Zalando has adopted a decentralized setup for applications and databases. This has impacted our database engineers by transferring responsibility to small teams, each of which manages its own infrastructure. Decentralization is great for team autonomy, but can present challenges in terms of how to easily manage lots of PostgreSQL clusters. That’s why our team created Spilo: an open source HA-cluster (highly available PostgreSQL cluster). This talk will show how Spilo simplifies Postgres cluster management while preserving team autonomy. By building upon streaming replication, Spilo provides a set of clusters that require no human interaction for many administration tasks and most failure scenarios; takes care of managing the number of servers (adding and removing them); and creates backups. It implements our own version of Patroni (https://github.com/zalando/patroni): a process, derived from Compose’s Governor, that governs the Postgres cluster (promoting and demoting) and updates information in etcd (the distributed consensus key/value store created by CoreOS). I’ll explore the architecture of Patroni implemented with Spilo; a live demo will show some failovers as they occur. Finally, I’ll show how Spilo combines Patroni with cloud infrastructure architecture components (for example, AWS), adding autoscaling to run a HA-cluster and allowing AWS power users to create a new HA-cluster with very little effort. Spilo relies upon STUPS, Zalando’s open-source platform as a service (PaaS) for enabling multiple, autonomous teams to use AWS while remaining audit-compliant. By using Spilo and STUPS together, our engineers can create a new HA-cluster with just a few commands. After attending this talk the audience will understand how they can also use Spilo, Patroni and STUPS to manage their Postgres clusters more efficiently while working autonomously.

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Distributed databases and horizontal scale up is one of the key demands in today's date. PostgreSQL already had some vertical scaling features and horizontal scale-up by adding disks and table partitioning/child tables. With release of v9.5, PostgreSQL will get basic foundation for native sharing capability. From v9.5 Foreign Tables will be able to participate in Inheritance Tree as a child or parent table i.e. one can have table partitions residing on different system. In our countdown to v9.5 series of hangouts, we will be covering some of the great features of PostgreSQL v9.5 and what is their real life applicability. In the first hangout in this series we will be talking about- - The feature of foreign partitions/child tables - Syntax and usage - EXPLAIN plan demo - Use cases and benefits Join us for more and send us your queries on success@ashnik.com

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