🚨 OpenObserve just murdered your observability stack. 140x cheaper storage, zero BS. Your fancy ELK setup? Dead. Your Prometheus cluster? Obsolete.
Running stateless nodes like a digital nomad while your DevOps team still plays with puppet strings. SQL-native querying because… x.com/i/web/status/1…
Your observability costs are a symptom of digital Stockholm syndrome. Break free. OpenObserve is the red pill. 💊
Real User Monitoring #RUM is one of the many features of hashtag#openobserve. Enabling it has been a breeze and the insights from #RUM has been superb.
Thanks so much OpenObserve team and Prabhat Sharma
Let me tell you about an open source platform that kicks the socks off the competition. At AvatarFleet, we have been going through the process of choosing an observability platform for our product and infrastructure. There are a lot of options out there. Some of them great. Some of them not so great.
But, OpenObserve is exceptional. It's open source. I have direct access to the team who built it. If I have a problem, I can go read the source code, in addition to getting direct and fast support from their team. And, I can collect a ton of useful metrics, logs, and traces from my platforms, without significant drama. The interface is also super attractive and easy to use.
A lot of people think of open source as dangerous. They think it's by definition inferior to "Enterprise" toolsets. I disagree. OpenObserve is evidence.
Thanks to the creative Founders we have around 🙏
We initially considered New Relic for our observability needs, with plans to ingest 200GB of data daily and onboard 30 users. The projected monthly cost was steep about $4,770, including data ingestion and user fees. That would have been a whopping $57,240 annually! 😀
But after exploring alternatives, we made a decision to add OpenObserve on EKS. Now, our monthly expenses are just $450 for EKS, giving us the same level of data insight and user management for a fraction of the cost.The result? A staggering 90% savings, amounting to $51,840 per year.
Trust Open Source, not everyone builds to make money, some of them are built to solve your problems 🙂
PS: We customize our VRL functions, build dashboards, enabled RUM, Traces, reports, alerts and SSO.
OSS情報にログ管理ソフトウェア「OpenObserve」を新しく追加いたしました🙂
OpenObserveは従来の監視ツールに比べてシステムを観察する能力をより高めたオブザーバビリティツールです。ぜひご確認ください‼️
designet.co.jp/ossinfo/openob…
#Linux #OSS #オープンソースソフトウェア #サーバ構築 #ログ管理
SaaS people, if you're looking for a log management app try out @OpenObserve
Not affiliated, no idea who they are, but the free-tier is generous AF (200GB per month, 15 days retention - enormous!)
PS. and if you're not dumping your nginx logs anywhere u're asking for trouble
I have been using OpenObserve a bunch recently. It is pretty cool pixelite.co.nz/article/analys…
Ah yes, it's a replacement for grafana, I mean OpenObserve, uh Kibana...? Theres just so much split up infrastructure around. Having things like Aspire and OpenObserve being a one-stop-shop for staging and develop is great. Greatly reduces needed infrastructure
for anyone who doesn't bother to set up the infra, just try openobserve, single binary to save you ass
Evaluated a ton of products and then finally settled on OpenObserve. Self-hosting this was a breeze and I really did see "10x improvement" as they claim. Ingesting logs via vector (dot) dev, collected via OpenTelemetry, stored in s3 and and queries in OO
Spun up OpenObserve for our logging at Vizalo
Incredibly impressed, stuck behind Caddy and it was up and running in 5 minutes
My super high performant and easy to set Monitoring Stack.
1. All my services and timers deployment with systemd.
2. All my services's logs are in journald.
3. @vectordotdev to ingest journald logs and sinks to @OpenObserve , They are both written in Rust and easy to setup.
OpenObserve is exactly what we need to shake up the observability space - kudos to the team for tackling the scalability and cost issues head-on!
Excelente mesmo. Botei pra rodar pra um cliente, tá redondinho. E ele ingere opentelemetry de uma maneira muito elegante também. Faz logs, traces e metrics, tudo integrado, mostrando tudo em uma única interface. Muito bom mesmo.
How We Saved 💰 $8,000/Month on Datadog
We ❤️ Datadog for monitoring/logs, but costs grew fast with our 5M+ MAUs. We tried sampling (80%, 50%, 20%, errors only) but still costly. Finally, we switched to open-source OpenObserve 🦀 and it works! Saved us $96k/year! 🚀
