LEARN TO DEPLOY POSTGRES HA ON KUBERNETES IN 60 MINUTES

As persistent storage, a database is required in the backend of any software or web application. However, because of the increased number of transactions per second and the amount of data saved, a robust and adaptable architecture for storing and accessing that data is required.

WHAT IS POSTGRESQL? 

PostgreSQL is a free and open-source Relational Database Management System (RDBMS). Using the JSON (JavaScript Object Notation) format, this open-source and object-oriented platform allows users to deal with both non-relational and relational queries. This platform is suited for managing various workloads, from individual machines to massive Cloud-based Data Warehouses. Furthermore, PostgreSQL closely adheres to the specified SQL standards.

Despite being introduced before competitors, database experts still regard the platform as the most popular and dependable DBMS. It offers a variety of extensions, allowing businesses to alter the database to meet their specific needs without harming the primary database.

WHY USE POSTGRESQL, AND WHAT ARE ITS ESSENTIAL FEATURES?

PostgreSQL has a broad range of uses.

  1. Language support:
    PostgreSQL includes a native procedural language, PL/PGSQL, as well as a number of current features. It supports the lightweight JSON data format and provides flexibility in a single package. As a result, PostgreSQL is capable of supporting a wide range of programming languages and protocols, including Perl, Ruby, Python,.Net, C/C++, Java, ODBC, and Go.
  2. Open-source:
    One of PostgreSQL's most significant advantages is that it is free and open source. It has over 20 years of community development experience, which contributes to its high level of integrity. PostgreSQL's open-source nature allows for infinite data storage with no functional limitations. Furthermore, the source code is available under an open-source license, allowing users to modify and implement it to meet their specific needs at no additional cost.
  3. Performance:
    In PostgreSQL, write operations can be performed concurrently without the need for read and write locks. When dealing with large amounts of data, indexes help to speed up searches by allowing databases to find a specific row without having to shuffle through all of the data. Furthermore, PostgreSQL users can create expression indexes that work on the result of an expression or a function rather than the value of a column. Partial indexing, in which only a portion of the table is indexed, is also supported. It also supports parallelizing reading queries, just-in-time (JIT) compilation of expressions, and layered transactions (via savepoints), all of which improve performance and efficiency.

POSTGRESQL HA  ARCHITECTURE

PostgreSQL can be configured in multiple ways to support High Availability (HA). Check out our previous article on ‘Deploy PostgreSQL HA on Kubernetes‘ to learn more about PostgreSQL HA deployments and architecture.

SETTING UP POSTGRESQL HA

If you are interested to learn more about “how to set up PostgreSQL HA?” Here is a workshop on ‘Learn to deploy PostgreSQL HA on Kubernetes Clusters in 60 mins‘. 

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