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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 ›Case Study
“BASED ON OUR EXTENSIVE EXPERIENCE WITH CRIBL STREAM AND EARLY EXPERIENCE WITH CRIBL EDGE, WE ARE SERIOUSLY INVESTIGATING THE POTENTIAL FOR CRIBL TO ENABLE OUR VISION FOR A DEMOCRATIZED, ENTERPRISE-WIDE DATA MANAGEMENT PLATFORM.”
LUKE BRADLEY,
CHIEF ARCHITECT, TECH_VOIS ENGINEERING & TRANSFORMATION
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As you might imagine, working with data at Vodafone is a big deal. The data engineering team at Vodafone Intelligent Solutions (Tech_VOIS) maintains an Analytics and Autonomics Center of Excellence (COE) which is responsible for all the operational data flowing at Vodafone: application, infrastructure, and services. Engineering Lead Mina Yacoub and his team at the Tech_VOIS COE leverage Cribl Stream to support this work end-to-end, from ingestion through preparation, scrubbing, and delivery of the data as a service to their internal customers.
Before data arrives into the operational analytics platform, the VOIS data engineering team uses Stream to prune unneeded duplicates as well as clone designated sources to route to low-cost storage for longer-term safekeeping, or restructure for a different team’s use case.
“We use Stream to apply multiple use cases related to routing, deduplication, parsing, and restructuring the data that is coming in. My customers are looking to have their data in a specific structure for their dashboard; to add useful context and remove useless data.”
Amr Magdy
Senior Data Engineer
With Stream in their toolbelt, the Tech_VOIS data engineering team are able to deliver a higher level of service and greater value to their internal customers worldwide.
“Stream has really expanded the capabilities of the team, across troubleshooting, operations, incident response, and SLA.”
Amr Magdy
Senior Data Engineer
With pre-created design patterns and rulesets available to their customers, the data onboarding headaches of the past are gone.
“I can provide a full data platform to customers, give them free rein, but I still have control; I can provide best practices as plug and play.”
Mina Yacoub
Autonomics and Analytics Engineering Lead
Yacoub’s team has simplified and accelerated the onboarding process for new data sources at Vodafone without compromising data quality or losing control over cost, thanks to built-in integrations with Cribl and AWS.
“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 Lead
By enriching valuable data before reaching their logging and SIEM platforms, Vodafone has not only saved time, money, and increased flexibility, but also achieved greater security context.
Moving fast isn’t a good idea unless you can see where you’re going. With Stream, the Tech_VOIS data engineering team has full visibility into what’s happening in any part of their data infrastructure and can use that information to make the best choices for the business.
“This solution gives you visibility right away, instead of having to do something complicated. It’s easy to have it up and running. It’s the only solution that lets you implement observability quickly and easily.”
Mina Yacoub
Autonomics and Analytics Engineering Lead
If there’s an issue, the Stream UI offers fast and thorough troubleshooting tools, allowing them to check across routes, sources, and pipelines in a matter of seconds.
“I can now intercept every single event to see exactly what the structure looks like, extract whatever I need, check every single piece of that event and pass it, encrypt it easily. It’s powerful. Stream makes everything easy; whatever we need to do, we can do.”
Mohamed Khalil
Technical Data Architect
As Vodafone looks to the future, Cribl is becoming a core part of the organization’s observability journey to transform the business, delivering rapid data onboarding and greater agility to all aspects of the enterprise.
Find out how your business can implement a resilient data management pipeline to route, restructure, and enrich data in flight while cutting costs and simplifying operations. Get Cribl, and take control of your data.
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