hyperloglog
signoz
hyperloglog | signoz | |
---|---|---|
15 | 335 | |
985 | 22,748 | |
0.6% | 2.7% | |
6.8 | 9.9 | |
about 2 months ago | 2 days ago | |
Go | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hyperloglog
-
The Tech Stack of a Cloud Computing Startup
To keep tabs on what’s happening, we use Axiom for logs and Grafana for dashboards and alerts. We pipe all of our logs from most services straight into Axiom and have some pre-defined filters there that help us understand whats going on. With Grafana we have a bunch of custom dashboards that help us triage issues, and more importantly, alert us if some metrics are looking off. Without Grafana, Sliplane could not exist!
-
Show HN: A Better Log Service
I've heard good things about Axiom[0], especially for high scale needs.
0: https://axiom.co/
-
Ask HN: Hosting on Digital Ocean, any advice for monitoring and deployments?
If your app is instrumented with OpenTelemetry, I'd really recommend something like SigNoz (https://signoz.io/) or Axum (https://axiom.co/) (or even Baselime.io but their application is a mess to work with)
1. Axiom has a generous free plan (not sure if it's self-hostable)
- HyperLogLog – an algorithm for approximating the number of distinct elements
-
How our infrastructure supports last-minute studying
Great choice of monitoring and analytics tools (Sentry, Axiom, Posthog and Uptime Kuma) coupled with amazing Slack integrations that allowed us to iron out any issues way before the traffic spike while the troubling features were still fresh from the oven.
-
How single message broke all our monitoring and dashboards
For the last 1.5 years, I have been using Axiom for all of my logs ingestion, querying, and monitoring needs. It is a great product and I never had one issue with it in my time using it. Spoiler alert, even today, when it failed it was actually my fault, but let's see what happened.
-
Observability at KubeCon + CloudNativeCon Europe 2024 in Paris
Axiom
-
How To Collect Temporal.io Logs Using Axiom And Pino
Axiom is an observability backend with OpenTelemetry support. I chose it for my recent project because of its cost, especially for hobby projects or serious projects in its early phase. They provide a JavaScript library that you can use as transport for pino.
- HyperLogLog
-
Free logging/monitoring for NextJS projects?
Axiom has a great integration with Next.js: https://axiom.co
signoz
-
Monitor NextJS with OpenTelemetry - Complete Tutorial [Part 1]
Jaeger is great for local debugging—but when you move to production, you need more: metrics, logs, alerting, dashboards. That’s where SigNoz comes in.
- CI/CD Observability with OpenTelemetry Step by Step Guide
-
Show HN: ClickStack – open-source Datadog alternative by ClickHouse and HyperDX
check out SigNoz: https://github.com/SigNoz/signoz
We started building signoz as an OS alternative of Datadog/New Relic four years back and opentelemetry-native from day 1. We have shipped some good features on top of Opentelemetry and because of OTel's semantic conventions & our query builder, you can correlate any telemetry across signals.
- SigNoz – an open source alternative to Datadog, now supports SSO and API keys
-
Install Signoz in Ubuntu
sudo usermod -aG docker $USER newgrp docker docker -v git clone -b main https://github.com/SigNoz/signoz.git && cd signoz/deploy/ ./install.sh docker ps
-
Is current state of querying on observability data broken?
Hey folks! I’m a maintainer at SigNoz[0] , an open-source observability platform
Looking to get some feedback on my observations on querying for o11y and if this resonates with more folks here
I feel that current observability tooling significantly lags behind user expectations by failing to support a critical capability: querying across different telemetry signals.
This limitation turns what should be powerful correlation capabilities into mere “correlation theater”, a superficial simulation of insights rather than true analytical power.
Here’s the current gaps I see
1/ Suppose I want to retrieve logs from the host which have the highest CPU in the last 13 minutes. It’s not possible to query this seamlessly today unless you query the metrics first and paste the results into logs query builder and retrieve your results. Seamless correlation across signal querying is nearly impossible today.
2/ COUNT distinct on multiple columns is not possible today. Most platforms let you perform a count distinct on one col, say count unique of source OR count unique of host OR count unique of service etc. Adding multiple dimensions and drilling down deeper into this is also a serious pain-point.
and some points on how we at SigNoz are thinking these gaps can be addressed,
1/ Sub-query support: The ability to use the results of one query as input to another, mainly for getting filtered output
2/ Cross-signal joins: Support for joining data across different telemetry signals, for seeing signals side-by-side along with a couple of more stuff.
Early thoughts in this blog[1], what do you think? does it resonate or seems like a use case not many ppl have?
[0] https://github.com/signoz/signoz
-
A Beginner's Guide to Auto-Instrumenting a Flask App with OpenTelemetry and SigNoz
git clone -b main https://github.com/SigNoz/signoz.git cd signoz/deploy/ ./install.sh
- Ask HN: AI infrastructure in production – what is your tech stack?
- Telescope – an open-source web-based log viewer for logs stored in ClickHouse
-
Ask HN: What do you run instead of Datadog?
Check out SigNoz, https://github.com/signoz/signoz
Has metrics, logs and traces in a single app and built natively on OpenTelemetry
Disclaimer : I am a maintainer
What are some alternatives?
golang-set - A simple, battle-tested and generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp.
openobserve - 🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces, RUM, Error tracking, Session replay).
boomfilters - Probabilistic data structures for processing continuous, unbounded streams.
uptrace - Open source APM: OpenTelemetry traces, metrics, and logs
bitset - Go package implementing bitsets
skywalking - APM, Application Performance Monitoring System