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grafana-cold-storage
oncall
Python2022–2023
grafana-cold-storage / oncall · Archived

oncall

Developer-friendly incident response with brilliant Slack integration

5Distinct people
6Mentions
0Explicit recommenders
3.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Developer-friendly incident response with brilliant Slack integration

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, 5:04:57 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 month6 dated mentions

Observed mentions: 2022-06-14 15:42:35 UTC to 2023-06-27 21:10:53 UTC.

012342022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 commentsJun 20222022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsDec 20222023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 2023

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
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC413
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC000
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC000
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC000
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC000
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC000
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC000
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC000
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC000
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC101
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC000
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC110

What Hacker News says

6 sources
Grafana OnCall is an OSS alternative (with a cloud offering) that works great out of the box if you are using Grafana/Grafana Alerting for monitoring your systems and want to have a pager-like system with phone/SMS/telegram integrations + it's own app. Best of all, it's self-hostable as well, which keeps me completely in control of my infra. https://grafana.com/products/oncall/ https://github.com/grafana/oncall
In Show HN: I was frustrated with pricing of PagerDuty et al., so made one myself
I agree that multi-component architecture is harder to deploy. We did our best and prepared tooling to make deployment an easy thing. Helm (https://github.com/grafana/oncall/tree/dev/helm/oncall), docker-composes for hobby and dev environments. Besides deployment, there are two main priorities for OnCall architecture: 1) It should be as "default" as possible. No fancy tech, no hacking around 2) It should deliver notifications no matter what. We chose the most "boring" (no offense Django community, that's a great quality for a framework) stack we know well: Django, Rabbit, Celery, MySQL, Redis. It's mature, reliable, and allows us to build a message bus-based pipeline with reliable and predictable migrations. It's important for such a tool to be based on message bus because it should have no single point of failure. If worker will die, the
Read the rest
other will pick up the task and deliver alert. If Slack will go down, you won't loose your data. It will continue delivering to other destinations and will deliver to Slack once it's up. The architecture you see in the repo was live for 3+ years now. We were able to perform a few hundreds of data migrations without downtimes, had no major downtimes or data loss. So I'm pretty happy with this choice.
In Grafana releases OnCall open source project

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