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Honeycomb Signs 3-Year Strategic Collaboration Agreement with AWS

Honeycomb signed a three-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS).

"The next chapter of Honeycomb's collaboration with AWS will unlock new technology capabilities as well as high-impact go-to-market opportunities, all designed to help developers build more resilient and intelligent software," said Matt Nelson, Chief Revenue Officer, Honeycomb. "This strategic collaboration agreement expands access to Honeycomb's observability platform at a time when organizations need every advantage possible to stay ahead of increasing complexity and deliver exceptional customer experiences."

The SCA enables Honeycomb and AWS enterprise customers to improve developer productivity and optimize cloud usage by combining high-fidelity observability data with AI-driven insight. 

Key benefits include:

  • Accelerated AI observability adoption: Organizations leverage Honeycomb to improve performance, manage costs, and empower engineering teams to build and operate more resilient AI applications.
  • Built for modern SRE practices: Engineering teams use Honeycomb to shorten incident response times, determine root cause across distributed systems, and ship changes with greater confidence across AWS environments.
  • Simplified procurement: Honeycomb is available in AWS Marketplace in the AI Agents and Tools category that allows customers to quickly realize value using Honeycomb Hosted Model Context Protocol (MCP) Server to advance their AI initiatives.

Honeycomb works extensively with AWS services, utilizing AWS Lambda for its operations. Honeycomb Intelligence, its AI-native observability suite optimized for developers, is built on Amazon Bedrock, a comprehensive, secure, and flexible platform for building generative AI applications and agents.

"Customers today need the ability to build, operate, and scale modern applications with the clarity and confidence that high-fidelity observability provides," said Allison Johnson, Director, Technology Partnerships at AWS. "This collaboration reflects our commitment to meeting customers where their complexity lives. By bringing Honeycomb's observability capabilities together with the scale and security of AWS, we're helping organizations reduce downtime, speed engineering velocity, and accelerate their modernization journey, empowering teams to deliver faster, more reliable experiences for their end users."

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Honeycomb Signs 3-Year Strategic Collaboration Agreement with AWS

Honeycomb signed a three-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS).

"The next chapter of Honeycomb's collaboration with AWS will unlock new technology capabilities as well as high-impact go-to-market opportunities, all designed to help developers build more resilient and intelligent software," said Matt Nelson, Chief Revenue Officer, Honeycomb. "This strategic collaboration agreement expands access to Honeycomb's observability platform at a time when organizations need every advantage possible to stay ahead of increasing complexity and deliver exceptional customer experiences."

The SCA enables Honeycomb and AWS enterprise customers to improve developer productivity and optimize cloud usage by combining high-fidelity observability data with AI-driven insight. 

Key benefits include:

  • Accelerated AI observability adoption: Organizations leverage Honeycomb to improve performance, manage costs, and empower engineering teams to build and operate more resilient AI applications.
  • Built for modern SRE practices: Engineering teams use Honeycomb to shorten incident response times, determine root cause across distributed systems, and ship changes with greater confidence across AWS environments.
  • Simplified procurement: Honeycomb is available in AWS Marketplace in the AI Agents and Tools category that allows customers to quickly realize value using Honeycomb Hosted Model Context Protocol (MCP) Server to advance their AI initiatives.

Honeycomb works extensively with AWS services, utilizing AWS Lambda for its operations. Honeycomb Intelligence, its AI-native observability suite optimized for developers, is built on Amazon Bedrock, a comprehensive, secure, and flexible platform for building generative AI applications and agents.

"Customers today need the ability to build, operate, and scale modern applications with the clarity and confidence that high-fidelity observability provides," said Allison Johnson, Director, Technology Partnerships at AWS. "This collaboration reflects our commitment to meeting customers where their complexity lives. By bringing Honeycomb's observability capabilities together with the scale and security of AWS, we're helping organizations reduce downtime, speed engineering velocity, and accelerate their modernization journey, empowering teams to deliver faster, more reliable experiences for their end users."

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For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...