nikolay_sivko

7 ms·

31.
Why PostgreSQL needs a better API for alternative table engines?(orioledb.com)
2 points by nikolay_sivko 2y ago|0 comments
32.
by nikolay_sivko 2y ago
Take a look at Coroot: https://github.com/coroot/coroot . It supports OpenTelemetry and stores traces in ClickHouse. Here you can find a demo of the Distributed Tracing UI: https://demo.coroot.com/p&#x2F
33.
by nikolay_sivko 2y ago
Sure, but the scope is quite broad. For example, we might need to explain logs from a relatively rare app or framework. In such cases, a large model could unintentionally have knowledge of it. Disclaimer: I'm the author of the post
34.
by nikolay_sivko 2y ago
Give https://github.com/coroot/coroot a try for full visibility in minutes with eBPF disclaimer: I'm a co-founder
35.
DBaaS in 2024: Which PostgreSQL operator for Kubernetes to select?(medium.com)
1 points by nikolay_sivko 2y ago|0 comments
36.
by nikolay_sivko 2y ago
Take a look at Coroot [0], which stores logs in ClickHouse with configurable TTL. Its agent can discover container logs and extract repeated patterns from logs [1]. [0] https://github.com/coroot/coroot [1] demo: https
37.
by nikolay_sivko 3y ago
Take a look at https://github.com/coroot/coroot (Apache 2.0). It offers plenty of ready-to-use dashboards and inspections
38.
by nikolay_sivko 3y ago
Disclaimer: I'm a co-founder of Coroot. We're currently benchmarking our eBPF-based agent to measure its performance impact. Could you please elaborate on a few more details about your benchmark? - Did you measure the CPU usage of
39.
ClickHouse Workload Scheduling(clickhouse.com)
2 points by nikolay_sivko 3y ago|0 comments
40.
by nikolay_sivko 3y ago
Coroot leverages eBPF to collect metrics and traces, and its agent parses container logs to extract recurring patterns from them. Here is the list of collected metrics with detailed descriptions: https://coroot.com/docs&#x2F
41.
by nikolay_sivko 3y ago
Nik and Anton here - we're building an open-source observability tool that transforms telemetry data into actionable insights. While there are many excellent observability tools on the market, pinpointing the root cause of an incident
42.
Show HN: Coroot – Copilot for Application Performance Troubleshooting(coroot.com)
7 points by nikolay_sivko 3y ago|3 comments
43.
If P99 Latency Is BS, What’s the Alternative?(thenewstack.io)
3 points by nikolay_sivko 3y ago|1 comments
44.
Asynchronous Data Inserts in ClickHouse(clickhouse.com)
6 points by nikolay_sivko 3y ago|0 comments
45.
Kubernetes – The Standardization Platform(medium.com)
3 points by nikolay_sivko 3y ago|0 comments
46.
Database Sharding Explained(architecturenotes.co)
2 points by nikolay_sivko 3y ago|0 comments
47.
Blog Writing for Developers(rmoff.net)
2 points by nikolay_sivko 3y ago|0 comments
48.
Plain Kubernetes Secrets are fine(macchaffee.com)
20 points by nikolay_sivko 3y ago|8 comments
49.
Simba: A Python GPU-accelerated particle simulator(github.com)
1 points by nikolay_sivko 3y ago|0 comments
50.
Trying Coroot, an eBPF-based observability tool for Kubernetes and more(blog.palark.com)
6 points by nikolay_sivko 3y ago|0 comments
51.
Real-Time Event Streaming with ClickHouse, Kafka Connect and Confluent Cloud(clickhouse.com)
3 points by nikolay_sivko 3y ago|0 comments
52.
Hassle-free Kubernetes monitoring with Coroot(karnwong.me)
3 points by nikolay_sivko 3y ago|0 comments
53.
Debugging Production: eBPF Chaos(infoq.com)
2 points by nikolay_sivko 3y ago|0 comments
54.
by nikolay_sivko 3y ago
Take a look at Coroot: it's open-source, ebpf-powered, and can be integrated in minutes: https://github.com/coroot/coroot
55.
Building an Observability Solution with ClickHouse – Part 2 – Traces(clickhouse.com)
2 points by nikolay_sivko 4y ago|0 comments
56.
Show HN: Deployment Tracking for Kubernetes(github.com)
5 points by nikolay_sivko 4y ago|0 comments
57.
GitHub Actions Degraded Performance(githubstatus.com)
1 points by nikolay_sivko 4y ago|0 comments
58.
by nikolay_sivko 4y ago
Grafana offers one of the best solutions for storing and navigating through telemetry data, but there remains a challenge in using this data to generate insights. Our goal is to address this issue, even if it means occasionally reinventing
59.
by nikolay_sivko 4y ago
Coroot's agent collects data from various sources to cover all aspects of container behavior. Ebpf-exporter perfectly solves the problem of running custom ebpf programs and turning their output into metrics, but using it as a foundatio
60.
by nikolay_sivko 4y ago
With ebpf-exporter it is not possible to implement complex logic, such as converting the PID of each TCP connection into a container name and the destination IP into a real IP according to the conntrack table.

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