AWS re:Invent

Nov. 28 – Dec. 2, 2022 | Las Vegas, NV

Help me, Cribl. You’re my only hope.

Data volumes continue to grow and licensing costs rise year after year, making it difficult to gain control over routing, costs, and data infrastructure. Together, Cribl and Amazon Web Services (AWS) helps you take back control over your data and future-proof your business, whether you’re leveraging Amazon Kinesis for data streaming, S3 for object storage, SQS for queuing in transit, or all of the above. Visit Cribl at AWS re:Invent in Booth #3831 to learn how with Cribl, AWS customers can:

  • Accelerate cloud migrations
  • Route observability data from any source to any destination
  • Replay Amazon S3 data ad hoc or on a schedule to any analytics tool 
  • Optimize CloudTrail log volume to improve analysis
  • Aggregate VPC Flow logs into summary metrics

Come join the Rebellion and supercharge your data insights!


The Future of Observability

WITH Clint Sharp, Founder and CEO

Tuesday, November 28, 2022 | 5:00PM
theCUBE booth Set B at The Venetian Convention and Expo Center

Unlock your data with Cribl Stream and CrowdStrike LogScale

CrowdStrike Booth #109 | Thursday, Dec. 1 | 12:45 – 1:00pm

Speaker: Kam Amir, Director, Technical Alliances

Do you have data locked in a proprietary data store? Would you like to liberate that data and search it with CrowdStrike LogScale? Come see how Cribl Stream can unlock your data and help you realize more value from your data!

The After AWS re:Invent Happy Hour

Tuesday, November 29 at 6:00pm PST - Palazzo | Villa Azur

You’re invited to join SentinelOne and Cribl for an exclusive happy hour at Villa Azur, Vegas’ newest venue and Sin City’s swankiest place for cocktails. Be one of the first to enjoy the ultimate Las Vegas experience at the brand new restaurant, located within Palazzo Resort next to renowned Sushi Samba.

Vodafone Dials up Business Insights with Cribl Stream

“Cribl gave us additional license headroom to onboard more data and helped us optimize it. We’re ingesting data coming from S3, AWS Kinesis Data Firehose, Cloudwatch, RDS, Kafka, SQS, so it is now our preferred and main method for data integration.”

—Mina Yacoub, Autonomics and Analytics Engineering