Quickwit

We are thrilled to announce that Quickwit 0.6 ?? ?? ?is out with many exciting features! Here are few highlights of this release: - An #Elasticsearch / #Opensearch compatible API. - A Grafana Labs data source (plugin) - Support for Range & Prefix Phrase queries - Support for Date Histogram & Percentiles aggregations - A new #columnar #format for better performance … and much more! Check out the blog post: https://lnkd.in/erZx_2u2 Go try it while it's ?? and don't hesitate to spread the news ?? #data #searchengines #logs #tracing #opentelemetry

I recently optimized our logging infrastructure using Quickwit, achieving significant results: - Slashed logging costs by over 50% - Dramatically boosted query performance - Improved scalability with K8s In this blog post, I dive deep into: ? Why I chose Quickwit. ? How it reduced costs. ? Integration with tools like Vector and Grafana. Excited to share more details soon about the setup that brought us success. I'll be including the pitfalls and learnings we encountered along the way. Stay tuned for updates! Have you faced similar challenges? What solutions have worked for you? Let's discuss in the comments! #LoggingInfrastructure #Quickwit #TechOptimization #EngineeringBlog

#blogpost Quickwit, the next generation of modern observability In this blog post, I'll try to explain why we moved from?ElasticStack?to?Quickwit?and?Grafana?and why we choosed it over other solutions. https://lnkd.in/dzumZVFP

We are always looking for new ways to store #log messages. Quickwit is a new contender, designed for log #storage, and among others, it also provides an #Elasticsearch-compatible #API.

Scale your logs and traces with Quickwit without compromising on retention. Quickwit, managed by Glasskube, is the first open-source search engine to execute complex queries directly on cloud storage. It achieves sub-second latency for enhanced performance while remaining affordable thanks to Exoscale Simple Object Storage. Be quick-witted with your data - using these features: ? Test Quickwit free for the first 7 days ? Afterwards only 49/mo + per GB exact cost for Simple Object Storage ? Get Quickwit running on Exoscale in under 5 minutes ? Enjoy automated updates and 24/7 monitoring ? Guaranteed uptime of 99.5% ? Store data securely on Exoscale servers Maximize efficiency and retention with Quickwit, now on Exoscale. Learn more: https://lnkd.in/dahH_nhW . . . #cloudcomputing #opensource #dataanalytics #quickwit #glasskube #exoscale #techinnovation #datasecurity

?? Tokyo Tech Meetup Alert! ?? Paul Masurel and I are hosting a Quickwit-friendly gathering on Tuesday, July 30th, in the vibrant neighborhood of Shimokitazawa! ?? Join us for discussions on search, observability, cybersecurity, databases, rust, and much more! ?? We will be providing refreshments to fuel our conversations! ??? Register here: https://lu.ma/c226k4kq Looking forward to seeing you there!

Binance, the world's leading crypto exchange, has built a 100 PB log service with Quickwit, indexing logs at 1.6 PB a day. Their engineers achieved what we had dreamed of: successfully migrating multiple petabyte-scale Elasticsearch clusters to Quickwit, reducing compute costs by 5x and storage costs by 20x. I’m incredibly proud of our collaboration and excited to share Binance's journey in building a multi-petabyte log service with Quickwit: ? https://lnkd.in/gHhcqVyz

?? Integration alert: We've Integrated Quickwit with Glasskube! ?? ?? Distributed application troubleshooting can be a nightmare – unless you have the right tools. Proprietary solutions can be expensive, and maintaining an ELK stack is complex. ? Enter Quickwit: an open-source, cloud-native search engine designed to make log management, tracing, and security data handling effortless and cost-effective. We've made it super easy to deploy Quickwit to your cluster via Glasskube! I had an insightful chat with Quickwit co-founder Fran?ois Massot, diving deep into its features and future roadmap. ?? Key Benefits: - Decoupled compute and storage for scalability - Fast indexing, optimized for large volumes of data - Object storage for enhanced reliability and lower costs ?? Use Cases: - Log management - Distributed tracing ?? Check out our blog post to learn more about how Quickwit can revolutionize your monitoring setup and how you can get started with it using Glasskube!

?? Excited to announce that Quickwit is now available through the Glasskube package manager for Kubernetes! ?? Months ago, we met Glasskube's founders, Philip Miglinci and Louis Weston, and immediately loved their idea of replacing Helm and the energy they brought to it. Like many engineers, we've had a love-hate relationship with Helm, appreciating its simplicity for easy tasks but disliking the YAML hell for complex deployments. We were looking for a fresh take on Kubernetes deployment, and that's what Glasskube offers! We've partnered with them to bring Quickwit to Glasskube, making it even easier to deploy Quickwit on Kubernetes. Can't wait for the next Glasskube features ?? ! Read the full blog post: https://lnkd.in/eTKv9Ted #Kubernetes #Quickwit #Glasskube #DevOps

?? NYC, don't forget the Quickwit meetup tomorrow! We will dive into how: - Binance indexes 1.6PB/day of logs and searches into petabytes with Quickwit & Kafka - Quickwit powers Fly.io log search using Tigris Data object storage ?? Register: https://lu.ma/xhx0313m ?? 307 W 38th St, New York ?? Tuesday 25th, June