Route observability data where it has the most value. Slash costs, improve performance, and get the right data to the right destinations, in the right formats, at the right time.
Send data to the most effective destinations including low-cost storage locations like S3 for long-term retention. Route data to the best tool for the job – or all the tools for the job – by translating and formatting data into any tooling schema you require. Let different departments choose different analytics environments without having to deploy new agents or forwarders.Put data where it has the most value
Reduce as much as 50% of ingested log volume to control costs and improve system performance. Eliminate duplicate fields, null values, and any elements that provide little analytical value. Filter and screen events for dynamic sampling, or aggregate log data into metrics for massive volume reduction. Do all of this without worry: You can keep a full-fidelity copy in a low-cost destination and replay it back if needed.Eliminate data to control costs
LogStream is the best way to get multiple data formats into your analytics tools. Use the LogStream universal receiver to collect from any observability data source – and even to schedule batch collection from multiple APIs. In addition, recall data from low-cost storage to replay logs to analytics tools for later investigations with ad-hoc data collection.
Shape all of the data you need to drive decisions about your environment. Translate and transform data from all of your sources to the tools you choose. Get a more complete picture of your data by enriching logs with third-party data. LogStream collects data from all of your sources and shapes it into actionable logs and metrics for analysis.
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QuickConnect provides a connection-centric view with a simplified processing tier to enable easier and faster data onboarding and routing of data from Point A to Point B. QuickConnect also simplifies source & destination onboarding and testing.
GitOps provides the tools to separate the development of LogStream configurations with the deployment of a production environment. This allows for developers of LogStream configurations to work independently in a development environment without affecting production configurations until changes have been validated and merged. GitOps empowers organizations of all sizes to build and continuously deploy observability pipelines safely, securely, and in a distributed manner.
Send data to the most effective destinations, including low-cost storage locations for long-term retention. Route data to the best tool for the job – or all the tools for the job – by translating and formatting data into any tooling schema you require. Let different departments choose different analytics environments without having to deploy new agents or forwarders.
LogStream features several new integrations, including CrowdStrike and Confluent so you can continue to route your data to and from even more sources and destinations in your toolkit. Check out the LogStream docs for the complete list.
The Packs framework provides a way for LogStream customers to build and share configuration models – including pipelines, lookups, data samples, and knowledge objects – across distributed LogStream deployments. Reduce the overhead of building and sharing LogStream content while reducing cost, complexity, and time to manage observability pipelines.
Packs also give LogStream users an isolated and secure space to build, test, and share their work, whether within their own company or among the 2000+ Cribl Community members. Add new Packs directly from our public Github repository, via URL, or manage your own Packs library private to your organization.