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Postgres PlaygroundEnhance your Postgres skillsOften times the gap in trying/learning something in Postgres is having a good tangible example. The playground makes that easier by loading a datasets then guiding you step by step through an exercise leveraging that dataset in a practical way. Whether it's just the basics of interacting in the Postgres CLI with psql , improving your querying skills w
Today I'm excited to introduce a new place for devs to polish their Postgres skills, a Postgres Playground and Tutorials from Crunchy Data. What is the playground? Put simply it is: Postgres running in your local web browser With canned datasets you can load Guided tutorials to follow along to learn about the power of Postgres Postgres in a browser?!? Wait?!?!? Postgres in the browser? Yep. You ca
Static Data is Different A couple weeks ago, I came across a blog from Retool on their experience migrating a 4TB database. They put in place some good procedures and managed a successful migration, but the whole experience was complicated by the size of the database. The size of the database was the result of a couple of very large "logging" tables: an edit log and an audit log. The thing about l
If you’ve read Crunchy blogs recently you probably noticed by now that we’re all big fans of indexing. Indexing is key to optimizing your database workloads and reducing query times. Postgres now supports quite a few types of indexes and knowing the basics is a key part of working with Postgres. The role of database indexes is similar to the index section at the back of a book. A database index st
It's been a busy year building Crunchy Bridge and we've shipped a lot of new awesome things. Instead of doing a wrap-up of all the growth and exciting features, instead I wanted to take the time to try to teach a few more things to those that follow us. While onboarding customer after customer this year I've noted a few key things everyone should put in place right away - to either improve the hea
I'm a big fan of data in general. Data can tell you a lot about what users are doing and can help you gain all sorts of insights. One such aspect is in making recommendations based on past history or others that have made similar choices. In fact, years ago I wrote a small app to see if I could recommend wines based on how other ones were rated. It was a small app that I shared among just a handfu
Early in on my SQL journey, I thought that searching for a piece of text in the database mostly involved querying like this: SELECT col FROM table WHERE col LIKE '%some_value%'; Then I would throw in some wildcard operators or regular expressions if I wanted to get more specific. Later on, I worked with a client who wanted search functionality in an app, so LIKE and regex weren't going to cut it.
Recently I ran across grand sweeping statements that suggest containers are not ready for prime time as a vehicle for deploying your databases. The definition of "futile" is something like "serving no useful purpose; completely ineffective". See why I say this below, but in short, you probably are already, for all intents and purposes, running your database in a "container". Therefore, your resist
This graph is amazing to me: Of course Intel has Xeon processors that have pushed single core performance higher than these laptop-oriented Intel results. But look at that big cluster below 5 clients, showing how long they've been stuck in the same performance range when power and heat is limited. I mentioned last time Intel had only doubled performance in the 8 years of MacBook models I looked at
You don't need monitoring until you need it. But if you're running anything in production, you always need it. This is particularly true if you are managing databases. You need to be able to answer questions like "am I running out of disk?" or "why does my application have degraded performance?" to be able to troubleshoot or mitigate problems before they occur. When I first made a foray into how t
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