HyperDX – open-source dev-friendly Datadog alternative

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Hi HN, Mike and Warren here! We've been building HyperDX (hyperdx.io). HyperDX allows you to easily search and correlate logs, traces, metrics (alpha), and session replays all in one place. For example, if a user reports a bug “this button doesn't work," an engineer can play back what the user was doing in their browser and trace API calls back to the backend logs for that specific request, all from a single view. Github Repo: https://github.com/hyperdxio/hyperdx Coming from an observability nerd background, with Warren being SRE #1 at his last startup and me previously leading dev experience at LogDNA/Mezmo, we knew there were gaps in the existing tools we were used to using. Our previous stack of tools like Bugsnag, LogRocket, and Cloudwatch required us to switch between different tools, correlate timestamps (UTC? local?), and manually cross-check IDs to piece together what was actually happening. This often made meant small issues required hours of frustration to root cause. Other tools like Datadog or New Relic come with high price tags - when estimating costs for Datadog in the past, we found that our Datadog bill would exceed our AWS bill! Other teams have had to adjust their infrastructure just to appease the Datadog pricing model. To build HyperDX, we've centralized all the telemetry in one place by leveraging OpenTelemetry (a CNCF project for standardizing/collecting telemetry) to pull and correlate logs, metrics, traces, and replays. In-app, we can correlate your logs/traces together in one panel by joining everything automatically via trace ids and session ids, so you can go from log <> trace <> replay in the same panel. To keep costs low, we store everything in Clickhouse (w/ S3 backing) to make it extremely affordable to store large amounts of data (compared to Elasticsearch) while still being able to query it efficiently (compared to services like Cloudwatch or Loki), in large part thanks to Clickhouse's bloom filters + columnar layout. On top of that, we've focused on providing a smooth developer experience (the DX in HyperDX!). This includes features like native parsing of JSON logs, full-text search on any log or trace, 2-click alert creation, and SDKs that help you get started with OpenTelemetry faster than the default OpenTelemetry SDKs. I'm excited to share what we've been working with you all and would love to hear your feedback and opinions! Hosted Demo - https://api.hyperdx.io/login/demo Open Source Repo: https://github.com/hyperdxio/hyperdx Landing Page: https://hyperdx.io

Visit product View on Hacker NewsSep 18, 2023

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

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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, open source · Missing: https docs, just released, lua

80%80% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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