The new pganalyze Index Advisorโข, built on top of the pganalyze Indexing Engineโข, frees up hundreds of hours per month for engineering organizations by accelerating database performance and removing the need to manually index databases
pganalyze, the leader in Postgres performance optimization and observability, announced the new pganalyze Index Advisor, based on the pganalyze Indexing Engine.
With the new pganalyze Indexing Engine, application developers can save time, avoid slow queries, and ship new functionality faster
Historically, database index creation, query workload tuning and maintenance has been the task of specialized database administrators who had a detailed understanding of the different queries used by applications. The fast-moving pace of modern application development, combined with a move to the cloud and open source database systems, such as Postgres, has shifted the responsibility of indexing to application developers โ without giving them the right tools.
Latest ITechnology News: Andesat and SES to Offer Enhanced Connectivity Solutions over the Andean Region
Application development teams today spend a large amount of time manually creating indexes for their database queries, reviewing statistics to find unused indexes, and fine tuning the overall set of indexes for their query workload. This takes away a tremendous amount of engineering time for companies, and causes large productivity losses.
โWith the pganalyze Indexing Engineโข, its intelligent optimization algorithms, and the pganalyze Index Advisorโข, developers can save time, avoid slow queries, and ship new functionality faster for their cloud-native applications building on PostgreSQL,โ says Lukas Fittl, CEO and Founder at pganalyze.
Latest ITechnology News: Havas Media Group Partners with Lumen Research to Measure and Optimise Attention at Global Scale
The pganalyze Indexing Engineโข, is able to predict how the Postgres query planner will evaluate a query, simulates thousands of index combinations, and can make recommendations for missing indexes using its unique “What if?” analysis, withย zero overhead on the production database.
โWith todayโs release, developers no longer need to do all the manual work that comes with creating and optimizing indexes. The pganalyze system automatically monitors the complete production query workload, as well as the associated schema definitions,โ says Jens Nikolaus, Head of Design at pganalyze.
The pganalyze Indexing Engineโข and the newย pganalyze Index Advisorโข are availableย todayย and integrate with cloud providers such as Amazon Web Services, Google Cloud Platform and Microsoft Azure. A developer API for the pganalyze Indexing Engineโข that enables automated index benchmarking and direct integration with CI/CD workflows will be available later in 2022.
Latest ITechnology News: Verkada Donates Security Cameras to AAPI-Owned Business in Chicago
[To share your insights with us, please write toย sghosh@martechseries.com]

