Posts

When I recently stumbled on an article comparing some main properties, and also the read-write performance of two very popular pieces of caching software, often used to speed up applications heavy on database queries, I immediately felt an itch – how would it actually look for PostgreSQL vs Redis vs Memcached on the performance side? […]

On some rare occasions, I’ve been asked if Postgres supports system-versioned temporal tables – in other words, time travel on table data for your queries. As quite often with Postgres, thanks to its extensibility, I can answer: well, officially, it does not…but, you can make it work, nevertheless 🙂 Why are people even asking such […]

I don’t usually post about upcoming PostgreSQL features and rather concentrate on tools available / versions released… but this feature got me excited and will certainly be a huge relief for real-life usage, especially for beginners! I had almost lost hope we might see this day – but after many years of wishing for it, […]

The big question we hear quite often is, “Can and should we run production Postgres workloads in a Docker? Does it work?” The answer in short: yes, it will work… if you really want it to… or if it’s all only fun and play, i.e. for throwaway stuff like testing. Containers, commonly also just called […]

So, you’re building the next unicorn startup and are thinking feverishly about a future-proof PostgreSQL architecture to house your bytes? My advice here, having seen dozens of hopelessly over-engineered / oversized solutions as a database consultant over the last 5 years, is short and blunt: Don’t overthink, and keep it simple on the database side! […]

I decided to start out this year by looking into my notes from last year and extracting from them a small set of Postgres tips for you. This might not be, strictly speaking, fresh news… but I guess the average RAM of tech workers is about 64KB or so nowadays, so some repetition might not […]

A few years ago, I wrote a short post on a similar topic; since then, I’ve often seen that the whole concept of suggesting to do more INSERT-s in critical parts of the code seems pretty strange to most customers. It’s even alien to those who are not new to databases in general. So I […]

Version 13 has been out there for over a month by now and the most important stuff has already been well digested… but luckily (or not) there’s so much non-major stuff in every release! This becomes quite evident when looking at the release notes with its 150 items of change or peeking at the great […]

If you read this blog post the new PostgreSQL version will be probably already officially released to the public for wider usage…but seems some eager DBA already installed the last week’s Release Candidate 1 and took it for a spin 😉 The “spin” though takes 3 days to run for my scripts, so that’s the […]

An introductory story (with some slight “drama” added for fun) from those good old days of on-site consulting 🙂 So…I’m at a client where the database is not behaving nicely among other things…what a crappy DB product indeed I hear, it gets cranky every morning although there should be a constant workload and is saturating […]

Recently I was asked if there’s a rule of thumb / best practice for setting the fillfactor in Postgres – and the only answer I could give was to decrease it “a bit” if you’re doing lots and lots of updates on some table. Good advice? Well it could be better of course – this […]

After exactly half a year (seems to be a pattern already) since the last major release of pgwatch2 Open Source PostgreSQL monitoring tool, I’m glad to announce that another set of useful features and improvements have found their way into the pgwatch2 code repository! New version is incremented to v1.8.0 and content wise it’s mostly […]