LogDNA’s Data Ingestion Pipeline can ingest, parse, and normalize massive, fluctuating amounts of structured and unstructured log data. LogDNA Streaming now automatically sends that data to any application or analysis tool, while maintaining tight control over storage costs and compliance measures.
“With the rise of cloud-native infrastructure and soaring data volumes, enterprises continue to make difficult sacrifices around how to use all of their machine data while controlling costs,” said Tucker Callaway, CEO, LogDNA, who blogged about the announcement today. “Building upon LogDNA’s ability to ingest and normalize massive volumes of log data, we’ve now made it possible to route that vital data for a wide range of use cases, from application development and troubleshooting to cybersecurity and compliance.”
Already, LogDNA’s platform strengths allow some of our customers to leverage data from LogDNA in new machine data pipeline use cases. For example:
As we prepare LogDNA Streaming for general availability, we’re giving early access to a limited number of users. You’ll act as a design partner to shape the future of this important capability.
If you're interested in joining the early-access program, visit us at go.logdna.com/streaming-early-access.
LogDNA enables frictionless consumption and actionability of data across companies that embrace DevOps. Launched in Y Combinator’s Winter 2015 cohort, LogDNA fuels massive productivity gains for modern engineering teams at hyper-growth startups and Fortune 500 companies alike, including Asics, Better.com, Sysdig, and 6 River Systems. In 2018 LogDNA became the sole logging provider for IBM Cloud and has two SaaS offerings for logging and monitoring on IBM Cloud. The company has been recognized as one of Forbes’ Cloud 100 Rising Stars, Gartner’s Top 25 Enterprise Software Startups to Watch, CRN’s 10 Hottest Cloud Startups, and Fortune’s Best Small and Medium Workplaces, and it received the IBM Cloud Embed Excellence Award. Visit www.logdna.com and follow on GitHub, Twitter, and LinkedIn.