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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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For decades, traditional observability tools have forced IT professionals to sift through endless dashboards, turning a flood of alerts into actionable insight and driving widespread burnout. While enterprises adopted AI to eliminate this friction, most still deploy it reactively rather than proactively ... As systems become more complex and IT moves to the center of business strategy, a reactive posture is unsustainable ...

Ask an operations team what they monitor and you will hear a familiar list: latency, errors, throughput, uptime. Those signals still matter for AI, but they no longer answer the most important question. As Krishna Sai, CTO of SolarWinds, puts it: "Traditional observability tells you a system is running. AI observability tells you whether it's still reasoning soundly. Those are completely different questions" ...

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

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In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

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