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Cribl for Startups Program Launched

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.

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Cribl for Startups Program Launched

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

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...