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
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 ...
When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...
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 ...
Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...