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Cloudelligent Partners with Honeycomb

Cloudelligent and Honeycomb announced a strategic partnership to help engineering organizations modernize on AWS and gain the deep production visibility required to operate with confidence at speed.

Through this partnership, Cloudelligent becomes a certified Honeycomb partner across delivery, managed services, and customer engagement. As a result, Cloudelligent is prepared to support mutual customers across every stage of their Honeycomb observability journey on AWS while maintaining alignment with AWS Well-Architected standards.

Together, Cloudelligent and Honeycomb give joint customers a single partner capable of addressing the full scope of modern engineering demands. Organizations gain the expertise to:

  • Migrate and modernize legacy environments to AWS
  • Build cloud-native and Kubernetes-based architectures
  • Adopt AI and ML workloads responsibly
  • Ensure the observability infrastructure needed to operate with confidence

By pairing Cloudelligent's AWS modernization depth with Honeycomb's event-based telemetry model and high-cardinality query engine, teams gain deep visibility into distributed systems and reduce operational noise while increasing reliability. This also shortens both incident resolution and development feedback cycles, aligning engineering velocity directly with business outcomes.

"AI is fundamentally changing the pace and complexity of software delivery on AWS. Our customers are shipping faster than ever, and that means they need to learn from production faster than ever. Partnering with Honeycomb gives us the ability to bring the most powerful observability platform in the industry directly to the engineering teams we serve. Together, we can make sure that velocity doesn't become chaos," said Qasim Akhtar, Founder & CEO, Cloudelligent

"What makes Cloudelligent stand out is that their engineers aren't just familiar with Honeycomb — they're in it daily, managing it for customers across their portfolio. For our joint customers, that translates to faster time-to-value and a partner who can meet them where they are, especially in AWS environments where Cloudelligent already has strong, established relationships," said Colin Burke, Global Head of Customer Success and Services, Honeycomb

Honeycomb Observability Professional Services by Cloudelligent is available now.

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Cloudelligent Partners with Honeycomb

Cloudelligent and Honeycomb announced a strategic partnership to help engineering organizations modernize on AWS and gain the deep production visibility required to operate with confidence at speed.

Through this partnership, Cloudelligent becomes a certified Honeycomb partner across delivery, managed services, and customer engagement. As a result, Cloudelligent is prepared to support mutual customers across every stage of their Honeycomb observability journey on AWS while maintaining alignment with AWS Well-Architected standards.

Together, Cloudelligent and Honeycomb give joint customers a single partner capable of addressing the full scope of modern engineering demands. Organizations gain the expertise to:

  • Migrate and modernize legacy environments to AWS
  • Build cloud-native and Kubernetes-based architectures
  • Adopt AI and ML workloads responsibly
  • Ensure the observability infrastructure needed to operate with confidence

By pairing Cloudelligent's AWS modernization depth with Honeycomb's event-based telemetry model and high-cardinality query engine, teams gain deep visibility into distributed systems and reduce operational noise while increasing reliability. This also shortens both incident resolution and development feedback cycles, aligning engineering velocity directly with business outcomes.

"AI is fundamentally changing the pace and complexity of software delivery on AWS. Our customers are shipping faster than ever, and that means they need to learn from production faster than ever. Partnering with Honeycomb gives us the ability to bring the most powerful observability platform in the industry directly to the engineering teams we serve. Together, we can make sure that velocity doesn't become chaos," said Qasim Akhtar, Founder & CEO, Cloudelligent

"What makes Cloudelligent stand out is that their engineers aren't just familiar with Honeycomb — they're in it daily, managing it for customers across their portfolio. For our joint customers, that translates to faster time-to-value and a partner who can meet them where they are, especially in AWS environments where Cloudelligent already has strong, established relationships," said Colin Burke, Global Head of Customer Success and Services, Honeycomb

Honeycomb Observability Professional Services by Cloudelligent is available now.

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In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...