spahl
A New UI to Improve Observability UX
Histogram evolution: visualize how a distribution of values changes over time
Opstrace: The Open Source Observability Distribution
Configuring Scalable Alertmanager
Collecting Cloud Vendor Metrics into Prometheus and Grafana
Why we chose Cortex and Loki
Collect metrics from AWS and GCP into Prometheus with 2 simple API calls
A Datadog-Compatible HTTP API
And yeah OpenTelemetry is where lots of the industry is going and so are we. You can already do cool things with us and the collector but we plan on automating a lot and expand on that.
A little bit about that in this commment: https://news.ycombinator.com/item?id=25995424
It's from this page: https://opstrace.com/docs/quickstart
What we want to emphasize is that it is possible to build this and have the advantages of a Datadog without the drawbacks.
Thanks for the feedback, we appreciate it!
We will also have a managed version where we deploy and maintain it for the customer in a cloud account they provide us.
Launch HN: Opstrace (YC S19) – open-source Datadog
Hi HN!Seb here, with my co-founder Mat. We are building an open-source observability platform aimed at the end user. We assemble what we consider the best open source APIs and interfaces such as Prometheus and Grafana, but make them as easy to use and featureful as Datadog, with for example TLS and authentication by default. It's scalable (horizontally and vertically) and upgradable without a...
On Serological Testing
Would You Like to Grab Coffee?
Systems Languages: An Experience Report
How my research in AI put my dad out of a job
Drones in 2015 are like VHS recorders in 1985
No more physics and maths, Finland to stop teaching individual subjects
Although it still supports lxc, docker now defaults to libcontainer (https://github.com/dotcloud/docker/tree/master/pkg/libcontai...), it's own container implementation.
Google Embraces Docker, the Next Big Thing in Cloud Computing
Strong Cryptography Using Linux's Random Number Generator
Of course, building packages is just one of many use cases. You also want to test the installation of the new package, run integration tests...
Once we have tools to build debian packages easily in a controlled environment (containers), the CI server will be able to use the same tools to build and test the final package. The advantage here is that a developer can test the whole workflow and build local test/dev packages with the same tools and environment as the CI server.