Keep – Open-source alerting CLI

Hacker News

Hi Hacker News! Shahar and Tal from Keep here. We're thrilled to announce that we're open-sourcing our alerting CLI tool, Keep ( https://github.com/keephq/keep ). Designed by developers for developers, Keep streamlines and simplifies alerting, making it a first-class citizen within the development process. Think of Keep as Prometheus Alertmanager but for all observability tools, with a simple and intuitive (GitHub actions-like) syntax. We believe that alerting has historically been neglected in existing monitoring platforms, leading to subpar alerting practices. With Keep, we aim to change that. Although it's still in its early stages, we would love to get your feedback on our project. Keep provides the following key features: 1. Declarative alerting that can be easily managed and versioned in your version control and service repository. 2. Alerts from multiple data sources for added context and insights. 3. Freedom from vendor lock-in, making it easier to switch to a different observability tool if needed. Some of the features we plan to add in the future include: - Integration with CI/CD processes to simplify alerts maintenance and testing. - Scoring system to assess the alert's urgency and provide relevant information. - Slack integration to keep track of alerts over time. - More providers, conditions, and other enhancements. We invite you to give Keep a try ( https://github.com/keephq/keep ) and share your thoughts with us. Your feedback will help us make Keep the best it can be.

Visit product View on Hacker NewsFeb 15, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: slack, new, context · Missing: mac, agents, macos

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, hacker news · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, intuitive · Missing: plus, reviews, host

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

9%9% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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