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Sumo Logic Signs Strategic Collaboration Agreement with AWS

Sumo Logic has signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS).

The SCA will focus on continued innovation to accelerate cybersecurity, application observability and automation fueled by artificial intelligence (AI) through Sumo Logic’s partner-first go-to-market motion. Specifically, service enhancements such as Sumo Logic's SaaS Log Analytics Platform with Amazon Bedrock and Amazon Security Lake will drive industry-leading innovation in cloud security and observability, providing powerful visibility and transparency across all AWS environments.

“Since our founding, Sumo Logic made a strategic bet to go all in with AWS. We’re built on AWS and have been a design partner in a multitude of solutions and go-to-market initiatives over the years to unify cloud insights and ignite action through the power of log analytics,” said Timm Hoyt, SVP of Worldwide Partners and Alliances. “We are delighted about this SCA as we head into a second decade of bringing together the best technologies to help customers build and secure their business across AWS and in the cloud.”

Sumo Logic unifies and analyzes enterprise data, translating it into actionable insights through one AI-powered cloud-native log analytics platform. This single source of truth enables Dev, Sec and Ops teams to simplify complexity, collaborate efficiently and accelerate data-driven decisions that drive business value. Customers around the world rely on the Sumo Logic SaaS Log Analytics Platform to ensure application reliability, security, and protection against modern security threats, as well as gain insights into their cloud infrastructures.

“The SCA with Sumo Logic strengthens our shared vision and commitment to giving our joint customers real-time visibility across their AWS workloads with AI-powered log analytics that break down the silos across security, developers and IT operations,” said Alan Braun, Managing Director, Technology Partnerships and AWS Marketplace at AWS. “We are pleased to collaborate with Sumo Logic to help make the digital world faster, reliable and more secure by unifying insights to ignite action.”

Additionally, Sumo Logic has achieved the AWS Cloud Operations Competency in the Retail, Education and Government categories as an AWS Partner who has demonstrated AWS technical expertise and proven customer success, delivering real-time log analytics across these verticals. Sumo Logic now has nine AWS Competencies, including AWS Retail ISV, AWS Government Competency, AWS Education ISV Competency, AWS Cloud Operations Software Competency, AWS Data & Analytics ISV Competency, AWS DevOps ISV Competency, AWS Built-in Competency, AWS Small and Medium Business Software Competency, AWS Containers ISV Competency and AWS Security ISV Competency. Sumo Logic is also an AWS Lambda Partner, Amazon Linux Ready Partner and AWS Graviton Partner.

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Sumo Logic Signs Strategic Collaboration Agreement with AWS

Sumo Logic has signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS).

The SCA will focus on continued innovation to accelerate cybersecurity, application observability and automation fueled by artificial intelligence (AI) through Sumo Logic’s partner-first go-to-market motion. Specifically, service enhancements such as Sumo Logic's SaaS Log Analytics Platform with Amazon Bedrock and Amazon Security Lake will drive industry-leading innovation in cloud security and observability, providing powerful visibility and transparency across all AWS environments.

“Since our founding, Sumo Logic made a strategic bet to go all in with AWS. We’re built on AWS and have been a design partner in a multitude of solutions and go-to-market initiatives over the years to unify cloud insights and ignite action through the power of log analytics,” said Timm Hoyt, SVP of Worldwide Partners and Alliances. “We are delighted about this SCA as we head into a second decade of bringing together the best technologies to help customers build and secure their business across AWS and in the cloud.”

Sumo Logic unifies and analyzes enterprise data, translating it into actionable insights through one AI-powered cloud-native log analytics platform. This single source of truth enables Dev, Sec and Ops teams to simplify complexity, collaborate efficiently and accelerate data-driven decisions that drive business value. Customers around the world rely on the Sumo Logic SaaS Log Analytics Platform to ensure application reliability, security, and protection against modern security threats, as well as gain insights into their cloud infrastructures.

“The SCA with Sumo Logic strengthens our shared vision and commitment to giving our joint customers real-time visibility across their AWS workloads with AI-powered log analytics that break down the silos across security, developers and IT operations,” said Alan Braun, Managing Director, Technology Partnerships and AWS Marketplace at AWS. “We are pleased to collaborate with Sumo Logic to help make the digital world faster, reliable and more secure by unifying insights to ignite action.”

Additionally, Sumo Logic has achieved the AWS Cloud Operations Competency in the Retail, Education and Government categories as an AWS Partner who has demonstrated AWS technical expertise and proven customer success, delivering real-time log analytics across these verticals. Sumo Logic now has nine AWS Competencies, including AWS Retail ISV, AWS Government Competency, AWS Education ISV Competency, AWS Cloud Operations Software Competency, AWS Data & Analytics ISV Competency, AWS DevOps ISV Competency, AWS Built-in Competency, AWS Small and Medium Business Software Competency, AWS Containers ISV Competency and AWS Security ISV Competency. Sumo Logic is also an AWS Lambda Partner, Amazon Linux Ready Partner and AWS Graviton Partner.

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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 ...