Grepr
@grepr_ai
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Machine learning to separate signal from noise, manage observability data, and reduce spend by 90% without migrations.
San Francisco, CA
Joined June 2024
🚀 A new blog post is out, check it out! 🔗⬇️.
It's hard to believe that something this easy can work this well. Learn how @grepr_ai 's AI-powered pipelines integrate with Datadog to optimize data, potentially cutting costs by up to 90%. Our new post details the practical steps for maximizing insights while reducing volume.
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RT @jadtnaous: Fighting the data flood? 🌊 Just read up on @grepr_ai – an intelligent #observability pipeline. It's built to actually cut n….
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RT @jadtnaous: Worried you'll lose important data with log aggregation? 🤔. What if you could cut log volume by 90% but still find exactly w….
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🚀 @grepr_ai vs Vector: Who Wins the Observability Pipeline Battle?. Still spending hours manually configuring Vector? There’s a smarter way. Grepr uses AI to automate observability pipelines, cut costs by 90%, and adapt to changes in real-time — no custom scripting required.
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RT @jadtnaous: @grepr_ai can now handle Datadog browser logs! Cut down noise by 90% and keep your coverage. Read about it here: https://t.….
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RT @jadtnaous: Don’t just take our word for it—🎥 watch the full demo video now to see @grepr_ai and New Relic in action and learn how you….
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Classic! 🤝Fortunately, with @grepr_ai, the flogging can stop — we help you cut the noise, keep the signal, and save up to 90% on log costs. Now that’s improvement. #DevOps #Observability #LogLife.
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RT @jadtnaous: 🚀 Goldsky Slashed Logging Costs by 85% with Zero Impact on Observability — Here’s How They Did It with @grepr_ai 🔗 https://t….
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RT @jadtnaous: 🔍 Observability Simplified: Grepr Takes on Cribl. Learn why @grepr_ai 's minimal setup and intelligent automation might be t….
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RT @jadtnaous: Reduce your observability costs without impacting your workflows using @grepr_ai 's smart backfill and cost-efficient data r….
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RT @jadtnaous: At @grepr_ai , we slash logging costs by 90% without compromising visibility. Watch the video in our post to see how it wor….
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RT @jadtnaous: What if you could shift your Splunk workloads off of Splunk without changing your queries, dashboards, or alerts? What if yo….
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Monday demo drop! Everything we do at Grepr is around making sure we reduce costs with minimal impact to existing workflows. Grepr can automatically parse existing alerts in Datadog (Splunk and New Relic coming up in the next few weeks) and avoid modifying logs that power them.
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Collect logs from Splunk forwarders using S2S, query with SPL, backfill to Splunk, and soon 🤫 query the Grepr data lake from Splunk directly! 🚀🚀🚀 Follow us and reach out to learn more!.
Most of our demos use Datadog, but Grepr supports Splunk, New Relic, Sumo, and OTel and we continuously add more. Here's a very quick demo showing Grepr working with Splunk, using the s2s protocol with data coming directly from the Splunk heavy forwarders. Also notice you can
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RT @jadtnaous: Whenever I do a demo or explain how Grepr summarizes logs, smart engineers ask, "how does your product work with traces and….
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RT @jadtnaous: How does @grepr_ai reduce logs in real-time at scale by more than 90%? There's a ton of work that we've had to do to make i….
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We love hearing what people have to say about us—there’s nothing better than a great review! 👏.
Today, @goldskyio rolled out a service that was emitting too many logs. How many is too many? They went from about 50KB/sec to 2.4MB/sec, an increase of almost 50x!! On the output side, Grepr reduced this volume from about 40k msgs/sec to 150 msgs/sec, a reduction of 99.6%! This.
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