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Learn more ›Evolving demands placed on IT and Security teams are driving a new architecture for how observability data is captured, curated, and queried. This new architecture provides flexibility and control while managing the costs of increasing data volumes.
Read white paper ›Cribl Stream is a vendor-agnostic observability pipeline that gives you the flexibility to collect, reduce, enrich, normalize, and route data from any source to any destination within your existing data infrastructure.
Learn more ›Cribl Edge provides an intelligent, highly scalable edge-based data collection system for logs, metrics, and application data.
Learn more ›Cribl Search turns the traditional search process on its head, allowing users to search data in place without having to collect/store first.
Learn more ›Cribl Lake is a turnkey data lake solution that takes just minutes to get up and running — no data expertise needed. Leverage open formats, unified security with rich access controls, and central access to all IT and security data.
Learn more ›The Cribl.Cloud platform gets you up and running fast without the hassle of running infrastructure.
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The fastest and easiest way to realize the value of an observability ecosystem.
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Learn more ›AppScope gives operators the visibility they need into application behavior, metrics and events with no configuration and no agent required.
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Sally Beauty Swaps LogStash and Syslog-ng with Cribl.Cloud for a Resilient Security and Observability Pipeline
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Talk to an Expert ›It’s been a busy Summer and Fall at Cribl. Since our August updates to Stream, we’ve been hard at work getting ready for our most significant set of releases to date! Stream Cloud Enterprise will be available on October 18th, and additional Stream enhancements will be available in the coming weeks.
Update: Stream 3.2 is now available!
We launched Stream Cloud in June of this year, and the response from new and existing customers has been incredible. Every day we see more organizations adopting Cloud to speed up time to value for deploying and using Stream.
As Head of Product for Stream, it’s exciting to talk to all our happy Stream users — particularly the Stream Cloud users– who would have missed out on Stream in the past simply because they focus on cloud/SaaS environments. Stream Cloud customers quickly realize how Stream can make their data more valuable and less costly to manage.
Today, we’re excited to announce a significant enterprise upgrade to Stream Cloud, enabling organizations to centrally manage, configure, monitor, and orchestrate fleets of Stream instances deployed anywhere in the world – whether the deployment consists of 10, 100, or even 1000s of Stream nodes.
Having a fully scalable architecture to handle rapidly growing observability data all the time requires a separation of control and management data from your organization’s data
With Stream Cloud, you can securely link workers with the cloud control plane to scale your deployment and unify billing, access, and management.
Volume-based pricing is great for customer-managed Stream software, but we can do you one better when it comes to Cloud. With Stream Cloud, you pay for what you use. Therefore, we believe usage-based pricing is the fairest and transparent way for our customers to use our products.
Stream Cloud starts at $0.17 per gigabyte of data received and sent. S3 Data is, of course, always free. For Stream Cloud Enterprise customers, workers are only metered based on ingest. All data sent out from any worker isn’t metered or billed.
Stream Cloud Enterprise customers will have access to all the other Enterprise features available in Stream today, including SSO, Notifications, RBAC, and GitOps (more about that below). For more information about the different available versions of Stream, please see our pricing page.
Get started today with Stream Cloud for free! When you’re ready to upgrade to Enterprise, hit that “Go Enterprise” button in your Cloud account! No rush; you can keep using Stream for free for up to 1TB of data in and data out a day.
We’re excited to announce Stream QuickConnect: a connection-centric approach to data flows. QuickConnect is a drag and drop experience for connecting any source to any destination in a matter of seconds. Users can then add pipelines in between to reduce, shape, and enrich those data flows. QuickConnect gives our connection-centric users a tool to create and visualize data connections all in the Stream UI.
With both data routing and QuickConnect capabilities, Stream provides a full suite of capabilities for collecting, processing, and routing data no matter how you think about your data flows. QuickConnect will be available for everyone starting in November. In addition, you can join our webinar on October 27th to get a sneak preview of QuickConnect in action!
Git integration has always been at the foundation of Stream. With this latest release of Stream (both on-prem software and Cloud), our Enterprise users have a new set of APIs to separate the development and deployment of Stream. Stream GitOps connects with your favorite git based versioning platforms and leverages their PR, approve/reject, and CI/CD workflows to push production-ready changes from a development branch into a main branch or release. This makes working in Stream easier and safer than ever.
No matter the size of the team, we know how important it is to ensure your production Steam environment only receives updates and changes that have met your internal processes and reviews. This is increasingly important for growing deployments with multiple users working in Stream every day. Stream GitOps accepts push notifications from your git backed versioning tools to run deployment updates. It can also be be configured to poll a branch or release for updates to commit and deploy across your Stream production environment.
Stream GitOps is only available to Enterprise customers. To get started managing Stream with full version control, contact a Cribl sales representative!
At Cribl, we have watched OpenTelemetry (OTEL) grow from a dream in the CNCF backlog into a project and protocol being adopted by the most prominent vendors in the Observability space. As of this latest release (software version 3.2), we are happy to announce support for the OpenTelemetry protocol (OTLP) for metrics and traces – logs support will be added as soon as it is ready in the OpenTelemetry project.
OpenTelemetry users can now send their traces and metrics directly from an application or through the OTEL agent or collector to Stream using the native OTLP protocol. Route OpenTelemetry metrics to any downstream destination. Aggregate and enrich metric events to make them more valuable in your analytics tool of choice. Parse traces into metrics to power application analytics dashboards to view application performance trends over long periods of time. Drop redundant or invaluable traces to keep your application teams focused on what’s important.
We’re excited to get these upgrades and enhancements in the hands of customers. If you’re new to Stream and the concept of an observability pipeline, we encourage you to try our Sandbox that includes a full version of Stream in the cloud with canned data. You can see how easy it is to take control of your logging infrastructure to improve system performance, slash costs, and route observability data into the destinations that matter most. When you’re ready to get started, create a free Cribl.Cloud account to get started streaming today.
The fastest way to get started with Cribl Stream is to sign-up at Cribl.Cloud. You can process up to 1 TB of throughput per day at no cost. Sign-up and start using Stream within a few minutes.
Experience a full version of Cribl Stream and Cribl Edge in the cloud with pre-made sources and destinations.
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