The manufacturing and logistics industry needs an observability solution that can handle the large influx of data into domestic production and land freight while providing the business intelligence and data analytics necessary for future planning.
Manufacturing and logistics organizations are increasing investment in technologies to gain insight to and adjust their business in the “new normal”. Managing this dynamic growth of observability data and using it to gain an end-to-end view of business allows them to mitigate the impact of declines in ocean and air freight and prepare for other upcoming effects of the pandemic they have yet to understand.
These organizations look to Cribl Stream to extract the right observability data that answers the questions and provide insight into the shifts in business strategy due to the pandemic and beyond. They typically work with data that exists in a multitude of sources with different source protocols. They often have data coming in a variety of formats, and those formats may not always match the formats required by the tools they are using. Even with all the choppy waters in their business, compliance with the latest industry standards and regulations remains crucial.
With Cribl Stream, these organizations can support the continued onboarding of new data sources regardless of format, get necessary insights from that data, and remain compliant while optimizing service to their customers and partners even through turbulent times.
Use Cribl Stream to send data to the most effective destinations, including low-cost storage locations like S3. Quickly route data to the best tool for the job – or all the tools for the job – by translating and formatting data into the tooling schemas you need.
Easily extract fields of interest and publish the result to metrics. Once aggregated, you will see a major reduction in event counts and data volume, freeing up space in your analytics tools. Send the resulting metrics to your analytics tool or route them to a dedicated time series database to get further analytics on your supply chain and better insights into your own data sources.
Stream can help reduce as much as 50% of ingested log volume. Easily 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 volume reduction at scale while keeping a full-fidelity copy in low-cost storage, improving system performance and freeing up valuable resources for digital transformation.
Reduce management overhead, with a robust and easy-to-use GUI-based configuration and testing interface. Capture live data and monitor your observability pipelines in real time, enabling further visibility to inform critical business decisions.
Cribl Stream helped them move to the cloud by making it easy to stream, transform, filter, and manage all their on-prem data