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Sumo Logic Achieves Monitoring and Observability Distinctions with AWS Cloud Operations Competency

Sumo Logic has achieved the Amazon Web Services (AWS) Cloud Operations Competency in the Monitoring and Observability category.

As an AWS Cloud Operations Competency Partner, Sumo Logic has demonstrated expertise in helping customers build a strong and scalable foundation for end-to-end Cloud Operations.

Securing the AWS Cloud Operations Competency signifies how Sumo Logic makes companies more efficient by providing a single platform for both IT operations and security, consolidating tools, reducing costs, and enabling collaboration for faster resolution times.

“Use cases for observability and log monitoring are converging as more of our customers shift digital transformation strategies to be both reliable and secure,” said Timm Hoyt, SVP of Global Channels and Alliances, Sumo Logic. “Achieving the AWS Cloud Operations Competency is another demonstration of why we believe we have the right strategy with the Sumo Logic platform approach. We will continue to foster our AWS ecosystem to deliver at the pace of innovation that AWS provides.”

The AWS Cloud Operations Competency differentiates AWS Partner Network (APN) members with significant expertise in providing cross-functional guidance across the five solution areas of Cloud Operations. Sumo Logic follows AWS best practices and has proven experience in: Monitoring and Observability. AWS Partners in this solution area have a proven track record of helping customers use observability services to understand what is happening across their technology stack at any time, leveraging AWS-native services, Application Performance Monitoring (APM), and open-source solutions. With validated AWS Partners, customers can get an end-to-end view of events in cloud, hybrid, or on-premises environments. They also gain insights into the behavior, performance, and health of their systems to reduce time to detect and resolve issues.

AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify AWS Partners with deep industry experience and expertise.

Sumo Logic continues to reinforce its purpose to empower customers with critical business insights and deliver unified visibility to manage AWS performance and cloud costs with the Sumo Logic AWS Cost Explorer app. This app helps customers track and visualize AWS Cost Explorer data through the Sumo Logic platform across account, region, and service levels.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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 ...

Sumo Logic Achieves Monitoring and Observability Distinctions with AWS Cloud Operations Competency

Sumo Logic has achieved the Amazon Web Services (AWS) Cloud Operations Competency in the Monitoring and Observability category.

As an AWS Cloud Operations Competency Partner, Sumo Logic has demonstrated expertise in helping customers build a strong and scalable foundation for end-to-end Cloud Operations.

Securing the AWS Cloud Operations Competency signifies how Sumo Logic makes companies more efficient by providing a single platform for both IT operations and security, consolidating tools, reducing costs, and enabling collaboration for faster resolution times.

“Use cases for observability and log monitoring are converging as more of our customers shift digital transformation strategies to be both reliable and secure,” said Timm Hoyt, SVP of Global Channels and Alliances, Sumo Logic. “Achieving the AWS Cloud Operations Competency is another demonstration of why we believe we have the right strategy with the Sumo Logic platform approach. We will continue to foster our AWS ecosystem to deliver at the pace of innovation that AWS provides.”

The AWS Cloud Operations Competency differentiates AWS Partner Network (APN) members with significant expertise in providing cross-functional guidance across the five solution areas of Cloud Operations. Sumo Logic follows AWS best practices and has proven experience in: Monitoring and Observability. AWS Partners in this solution area have a proven track record of helping customers use observability services to understand what is happening across their technology stack at any time, leveraging AWS-native services, Application Performance Monitoring (APM), and open-source solutions. With validated AWS Partners, customers can get an end-to-end view of events in cloud, hybrid, or on-premises environments. They also gain insights into the behavior, performance, and health of their systems to reduce time to detect and resolve issues.

AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify AWS Partners with deep industry experience and expertise.

Sumo Logic continues to reinforce its purpose to empower customers with critical business insights and deliver unified visibility to manage AWS performance and cloud costs with the Sumo Logic AWS Cost Explorer app. This app helps customers track and visualize AWS Cost Explorer data through the Sumo Logic platform across account, region, and service levels.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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 ...