Cribl announced the launch of Cribl for Startups, a new program to support early-stage startups that are building the next generation of data solutions for IT and Security.
Participating startups receive access to Cribl’s full suite of products via Cribl.Cloud, mentorship from product, revenue, and marketing leaders, and co-marketing opportunities to bring innovative data products to market.
The program is designed to build an ecosystem of next generation data companies focused on creating innovative solutions for IT and Security. Application for the Cribl for Startups program is open today and available to companies between seed stage and Series A in the monitoring, observability, cybersecurity, and DevOps spaces.
Selected startups will be enrolled in the free 12-month program that includes:
- Access to Cribl.Cloud: Free credits in Cribl.Cloud, providing enterprise level access to Cribl Stream, Cribl Edge, Cribl Search, and any new products launched in 2024;
- Mentorship: Collaborate with Cribl’s product, revenue, and marketing leaders to accelerate technical and go-to-market journeys;
- Co-marketing Opportunities: Select co-marketing opportunities will be available to participating startups to drive awareness and reach prospective customers and partners.
“As we’ve learned over the past five years, startups are hard. With this new program, Cribl is supporting the entrepreneurs and risk-takers building new products for customers,” said Clint Sharp, co-founder and CEO of Cribl. “The IT and security data space is incredibly complex, and we can ease some of that complexity by providing the infrastructure support that is required to bring a startup’s vision to life. I can’t wait to see what these innovative startups build with our products, and I look forward to accelerating their vision and, ultimately, impacting the market at large.”
Participating startups benefit from the interoperability and scale of Cribl’s product suite to accelerate time to value, improve operational efficiency, and increase product ease-of-use. Startups will have access to Cribl Stream, the industry’s leading observability pipeline, Cribl Edge, an intelligent vendor-neutral agent, and Cribl Search, the industry’s first search-in-place solution today, and future Cribl.Cloud products as they’re introduced.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
