3 reasons customers choose Chronosphere over Cribl

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Chronosphere and Cribl have fundamental differences in how they approach their telemetry pipeline products. Learn why those differences are important.

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Erik Bledsoe | Customer Journey Strategist | Chronosphere

Erik is a Customer Journey Strategist at Chronosphere which he joined with their acquisition of Calyptia. Before making the jump to tech startups, he worked in higher education. Data relaxes him, as does cooking and books. He currently resides in North Carolina, where he recently returned after a long time away.

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If you have landed on this page, you are probably researching telemetry pipeline solutions to facilitate the collection, processing, and routing of telemetry data to multiple destinations. More specifically, you are probably wondering whether Cribl Stream or Chronosphere Telemetry Pipeline from the creators of Fluent Bit and Calyptia is a better solution.

Both Telemetry Pipeline and Stream excel at collecting, processing, and routing telemetry data.

However, Chronosphere and Cribl do take some fundamentally different approaches both to product development and the marketplace that may impact your decision. Below are three reasons that customers sometimes select Telemetry Pipeline over Cribl Stream.

#1: Chronosphere Telemetry Pipeline is lean and efficient with infrastructure requirements; Cribl is not

It takes a lot of infrastructure to run Stream. A surprising amount actually. Cribl provides a sizing calculator that determines the infrastructure required to run Stream based on the amount of data processed. For 8 TB of daily throughput (4 TB in and 4 TB out) Cribl requires a total of twelve machines:

  • Workers: 11 4-vCPUs, 8 GB RAM servers
  • Leader: 1 8-vCPUs, 8 GB RAM server

Screenshot of Cribl cost calculator

The cost for running the infrastructure alone? $18,950 per year (as of this writing). This figure does not include engineering salaries to support the infrastructure nor the Cribl licensing itself. We’ve actually heard from some users that their annual Cribl infrastructure costs exceeded their licensing.

To process that same amount of daily data through Chronosphere’s Telemetry Pipeline requires only a single server with 2 vCPUs and 8 GB of RAM, which would run $893 per year.

Cribl requires 12x the number of servers to process the same amount of data as Telemetry Pipeline. And you’ll pay over 20x to run that infrastructure compared to what you’d pay to run Telemetry Pipeline’s infrastructure.

#2: Chronosphere Telemetry Pipeline is built on open source and open standards; Cribl is not

Why does Telemetry Pipeline require so much less infrastructure than Stream to do the same work? In part, it’s because Telemetry Pipeline is built upon Fluent Bit, the Cloud Native Computing Foundation (CNCF) graduated open source project. Fluent Bit is a super fast, lightweight, and scalable collector, processor, and router for logs, metrics, and traces. With billions of downloads, Fluent Bit is the industry standard for collecting telemetry data from Kubernetes, and Fluent Bit is embedded in major Kubernetes distributions, including those from Google, Amazon, Oracle, IBM, and Microsoft.

Written in C and designed to be highly performant with a small resource footprint, Fluent Bit delivers 20x the performance per CPU core compared to Stream’s NodeJS architecture.

With Fluent Bit at the core of Telemetry Pipeline, customers get the benefits of open source together with the product support, innovation, and expertise that can only come from a leading technology company like Chronosphere.

  • The Fluent Bit developer community has over 10,000 members. A large, enthusiastic community helps drive innovation.
  • The project has active contributors from across the industry including Oracle, LinkedIn, Google, AWS, Walmart, Digital Ocean, Cisco, and more. Support from global leaders is a strong indicator that the project is healthy and will continue to thrive.
  • The project is committed to vendor neutrality and support for open standards like OpenTelemetry and Prometheus, ensuring that Fluent Bit can integrate with best-in-class technologies
  • Telemetry Pipeline has features, capabilities, and integrations that are unavailable in the open source project. These commercial-only features provide telemetry pipeline management at enterprise-level scale.
  • Chronosphere provides full-service desk support with 24/7 operations, ensuring that assistance is available when needed
  • Chronosphere was named a Strong Performer for 2023 in the Gartner® Peer Insights™ “Voice of the Customer” for Application Performance Monitoring and Observability Report. In fact, Chronosphere scored the highest overall score of all the evaluated vendors.

#3: Chronosphere Telemetry Pipeline is Kubernetes native; Cribl is not

Telemetry Pipeline is a native Kubernetes application (i.e., Kubernetes Operator). As a result, it takes full advantage of Kubernetes to provide:

Customers who are already utilizing Kubernetes will immediately understand the advantages and operational efficiencies that being Kubernetes native brings to a telemetry pipeline, with scalability and reliability at the top of the list.

See what Gartner® has to say about telemetry pipelines

Download the Gartner report “Innovation Insight: Telemetry Pipelines Elevate the Handling of Operational Data” to learn more about how organizations are using telemetry pipelines to control their data from source to destination.

You’ll also learn:

  • The benefits and uses of telemetry pipelines for improving operational efficiencies and maximizing value
  • Risks to avoid when implementing a telemetry pipeline
  • Three actions Gartner® recommends that infrastructure and operations leaders take now

Banner with text "Gartner® Report: Innovation Insight: Telemetry Pipelines Elevate the Handling of Operational Data" and a green button labeled "Read the Report" on a blue-green gradient background, highlighting how Chronosphere improves observability and reduces logging costs.

 

Now Available: Chronosphere Tackles Log Data Management Costs & Complexity  with launch of Telemetry Pipeline and Observability Log Controls

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