Docker Rolls Out 3 Tools To Speed And Ease Development - The New Stack

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I have the choice as to whether I want to run a PostgreSQL on a normal EC2 virtual machine, or if I want to run PostgreSQL in a Docker container on a EC2 virtual machine. I'm new to docker. My assumption is that running PostgreSQL in a Docker container would result in a performance penalty, compared to running it directly on the EC2 virtual VM.

Because PostgreSQL was the winner, it would be interesting to make a comparison running PostgreSQL in Docker versus running PostgreSQL natively. And it would be also interesting to know, if there are differences between fine-tuned database settings, using PGTune. This benchmark was done on all three major systems, running PostgreSQL natively.

This helps the PostgreSQL query planner make better decisions. Monitor performance Use monitoring tools like docker stats, pg_stat_statements, or third-party solutions to track your PostgreSQL container's performance. Regular monitoring helps identify performance bottlenecks and areas for improvement.

I've been trying to deploy Postgres within Docker for portability reason, and noticed that query performance as measured by quotexplain analyzequot has been painfully slow compared to bare metal.. For a table with 1.7 million rows, a query on bare metal Postgres takes about 1.2 sec vs 4.8 sec on Dockered Postgres, an increase of 4 times! This comparison is done with the same mounted volume for both

Optimize postgres indexes for your query. Increase cache and memory settings. Notice, on the server, none of those are related to it being a container. If you were running a single postgres db on a Linux VM host OS, and then you moved postgres on that server into a single container, I wouldn't expect performance to change.

I have a Django app with a PostgreSQL database. Everything was running smoothly until I moved the stack to Docker. Now, one of my big queries is running really slowly, and I noticed that the PostgreSQL container is eating up all the CPU for that particular query.

Set PostgreSQL to only listen on specific interfaces inside postgresql.conf listen_addresses '172.18..2' Run the PostgreSQL container within a Docker-specific network make sure to also mount your postgresql.conf docker network create my_pg_net docker run-d--network my_pg_net--ip 172.18..2 postgres16.2

Program in Docker to database in Docker will be using this connection string find databaseIpAddress using docker inspect postgres and 5432 from inside docker userpostgres passwordpassword dbnamebenchmark hostdatabaseIpAddress port5432 sslmodedisable. Program in Docker to database native will be using this connection string 127.0.0.1

Summary. The article presents a comprehensive benchmark comparison of various databases, including MySQL, PostgreSQL, SQL Server, MariaDB, Percona, and TimescaleDB, running in Docker, with a focus on performance metrics such as write and read speeds, memory usage, and CPU consumption, ultimately declaring PostgreSQL as the superior database based on these criteria.

If that single PgBouncer VM or service crashes, all application connectivity to the database is severed, even if the backend PostgreSQL server is perfectly healthy. Furthermore, a single PgBouncer instance can hit CPU or resource limits on its host VM, becoming a performance bottleneck.