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  • 4 min read

    Announcing Google Cloud Support for Crunchy Bridge

    Craig Kerstiens

    Reality is messy, and for every, "We've standardized on cloud Amazon, Azure, or GCP" announcement, there are tens or hundreds of apps hidden within an organization running on the "other" cloud. Most workloads don't span across clouds, but every large organization has workloads on each cloud vendor. And for everyone's favorite database (Postgres) we're excited to say you don't have to compromise quality when it comes to which cloud vendor you're running on. Today we're announcing Crunchy Bridge...

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  • Your Guide to Connection Management in Postgres

    Craig Kerstiens

    Connection pooling and management is one of those things most people ignore far too long when it comes to their database. When starting out, you can easily get by without it. With 1 or 2 application servers spawning 5-10 connections, even the tiniest of Postgres servers can handle such. Even with our $35 a month hobby plan on Crunchy Bridge , we can push 5,000 transactions per second through which is quite a bit for < 20 connections. As you grow into the hundreds, better connection management...

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  • Postgres is Out of Disk and How to Recover: The Dos and Don'ts

    Elizabeth Christensen

    Additional Contributors: David Christensen, Jonathan Katz , and Stephen Frost Welp… sometimes “stuff” happens… and you find yourself having a really bad day. We'd like to believe that every database is well configured from the start with optimal log rotation, correct alerting of high CPU consumption and cache hit ratio monitoring… But that isn't always the case. Part of our job here at Crunchy is to help on the bad days in addition to preparing you to ensure those never happen. One frustrati...

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  • Introducing pgBackRest Multiple Repository Support

    David Steele

    The pgBackRest team is pleased to announce the introduction of multiple repository support in v2.33. Backups already provide redundancy by creating an offline copy of your PostgreSQL cluster that can be used in disaster recovery. Multiple repositories allow you to have copies of your backups and WAL archives in separate locations to increase your redundancy and provide even more protection for your data. This feature is the culmination of many months of hard work, so let's delve into why we thin...

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  • Announcing Google Cloud Storage (GCS) Support for pgBackRest

    Craig Kerstiens

    Crunchy Data is pleased to announce its most recent release of pgBackRest: 2.33 with a number of new features including multiple repository support and GCS support. With pgBackRest 2.33 we are especially excited to add support for Google Cloud Storage ( GCS ) , a new addition to Amazon AWS S3 and Azure Repository support. pgBackRest is a reliable, high performance, easy-to-use backup and restore solution for Postgres that can seamlessly scale up to the largest databases and workloads by ut...

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  • Database Terminology Explained: Postgres High Availability and Disaster Recovery

    Elizabeth Christensen

    In my day to day, I'm surrounded by great database engineers. They talk about things like HA and raft protocol and the right and wrong approach for configuring synchronous vs. asynchronous replication. There is a lot of value in all that deep technical knowledge, but for when interacting with customers, I like to boil it down a bit. What I've seen is that for many folks the basics of key database principles can get lost in the details. What follows is a summary of conversations I've had with cus...

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  • 6 min read

    Is Postgres Secure?

    Paul Laurence

    With the rise of Postgres, new organizations are evaluating how to benefit from its power and flexibility . As that evaluation progresses, Postgres advocates must address the question, "Is Postgres secure?" There are a variety of ways to answer this question, but the short answer is a confident "Yes!" At Crunchy Data, we often collaborate with organizational stakeholders to address this question. Many organizations have used the same collection of databases for years (maybe decades). The id...

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  • 6 min read

    Performance Improvements in GEOS

    Paul Ramsey

    We at Crunchy Data put as much development effort into improving GEOS as we do improving PostGIS proper, because the GEOS library is so central to much geospatial processing. The GEOS library is a core piece of PostGIS. It is the library that provides all the "hard" computational geometry functionality: • Intersections of geometry • Unions of geometry • Differences of geometry • Buffers of geometry • Geometry relationship evaluation Intersections of geometry Unions of geometry Differences of...

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  • Explaining Your Postgres Query Performance

    Kat Batuigas

    In a previous post, I talked about pg_stat_statements as a tool for helping direct your query optimization efforts. Now let's say you've identified some queries you want to look into. The EXPLAIN command helps you look even closer into an individual query. If you're already proficient in EXPLAIN, great! Read on for an easy refresher. If you're less familiar with it, this will be a (hopefully) gentle introduction on what insights it might help provide. I'm going to demonstrate simple EXPLAIN...

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  • 20 min read

    Musings of a PostgreSQL Data Pontiff Episode 2 - Hot Magick; Analytics and Graphical Output with PL/R

    Joe Conway

    Welcome to Episode 2 of the "Musings of a PostgreSQL Data Pontiff" series! In this installment I’m aiming to achieve three objectives. First, you should see how the SQL language, as implemented by PostgreSQL , can perform interesting data analysis through the built-in aggregates and other capabilities such as Common Table Expressions (CTEs) and Window Functions . Second, you will get to see how native SQL combines with R code in PL/R in useful ways. And finally, I’ll show how to use PL/R to...

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