coroot VS BitSwan

I'm Peter Zaitsev, co-founder at Coroot. I come from the database world where observability, or monitoring, was crucial for keeping databases running smoothly. But as technology evolves, so do the challenges we face.

Today, many applications are built using microservices architecture, making it harder to pinpoint issues. Developers now have more ownership over the entire environment, but they lack the expertise to navigate intricate infrastructure details. And with the complexity of modern observability systems, crucial components often go unmonitored, leaving blind spots.

That's where Coroot comes in!

We're excited to announce the release of Coroot 1.0 – a simplified observability platform designed to provide actionable insights for modern environments. With Coroot you get:

- Comprehensive Visibility: Coroot covers your entire environment, ensuring no information gaps. Whether you're on Kubernetes, traditional VMs, or cloud services, Coroot has you covered.

- Simple Deployment: We've made deploying Coroot a breeze. Leveraging modern Linux features like eBPF and Netlink, setup requires zero configuration. Coroot also identifies and configures additional components for you.

- Actionable Insights: Coroot prioritizes the most important information, helping you resolve issues up to 80% faster than with legacy solutions.

And the best part? Coroot has open-source version. If you prefer a hosted solution, there is Coroot Cloud, which comes with a free trial and transparent affordable pricing.

While Coroot is already an awesome open-source observability platform, we're not stopping there. We have ambitious plans to automate issue resolution and minimize human intervention.

Got ideas? Let us know on GitHub - https://github.com/coroot/coroot

See detailed overview of Coroot Features - https://coroot.com/overview

Take a look at https://github.com/coroot/coroot (Apache 2.0). It offers plenty of ready-to-use dashboards and inspections

I think ClickHouse is becoming a default storage for observability nowdays: https://clickhouse.com/use-cases/logging-and-metrics

And there are quite a few solutions on top of it.

A couple of examples that seem to be interesting (however I didn't use them in real life):

https://coroot.com/

Landing page: https://coroot.com

At the company I work for we send json to kafka and subsiquently to Elastic search with great effect. That's basically 'wide events'. The magical thing about hooking up a bunch of pipelines with kafka is that all of a sudden your observability/metrics system becomes an amazing API for extending systems with aditional automations. Want to do something when a router connects to a network? Just subscribe to this kafka topic here. It doesn't matter that the topic was origionally intended just to log some events. We even created an open source library for writing and running these,pipelines in jupyter. Here's a super simple example https://github.com/bitswan-space/BitSwan/blob/master/example...

People tend to think kafka is hard, but as you can see from the example, it can be extremely easy.