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autobase-tech
autobase
Jinja2022–2026
autobase-tech / autobase

autobase

Automated database platform for PostgreSQL® - Your own DBaaS.

7Distinct people
10Mentions
0Explicit recommenders
4.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Automated database platform for PostgreSQL® - Your own DBaaS.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year10 dated mentions

Observed mentions: 2022-03-05 05:59:44 UTC to 2026-07-21 19:06:53 UTC.

01232022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20242025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC312
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC202
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC202

What Hacker News says

10 sources
Fun fact: psql has a syntax through which one can use a form of prepared statements to avoid exploding when the password contains sql-sensitive characters[1]: https://www.postgresql.org/docs/17/app-psql.html#APP-PSQL-OP... and https://www.postgresql.org/docs/17/app-psql.html#APP-PSQL-IN... although regrettably it is not compatible with the "-c" invocation for some terrible reason, thus requiring the SQL to actually come from stdin: psql --set newpass="bobby';--drop table" <<'FOO' ALTER USER postgres WITH PASSWORD :'newpass'; FOO 1: https://github.com/vitabaks/autobase/blob/e93fbe0c667c18a24e...
In Autobase – the next step in Postgres management
Creating a robust database cluster is often fraught with challenges. A manual deployment process can be fraught with risks, particularly for those who lack extensive experience. Even minor errors in configuration can drastically affect your database's performance and stability. Recognizing this intricacy, many businesses choose to use cloud-based managed databases. These services offer convenience but not without limitations. These drawbacks can include being tied to a specific cloud provider and limited direct access to the database server for adjustments. These constraints can hinder your ability to tune your system and perform thorough performance analyses. In response to these challenges, we've developed a project to make this process easier and more efficient. This project uses automation to streamline the deployment of High-Availabi
Read the rest
lity PostgreSQL Clusters. By doing so, it helps mitigate the risks involved with manual configuration and speeds up the deployment process. Our solution caters to various deployment environments. It allows you to establish your cluster either in your own data center or in any cloud, providing a robust database solution similar to managed databases, but with you retaining full control. Explore the project here: https://github.com/vitabaks/postgresql_cluster
In Automated Deployment of PostgreSQL HA Clusters Anywhere

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