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Moogsoft Achieves AWS Cloud Operations Competency

Moogsoft has achieved the Amazon Web Services (AWS) Cloud Operations Competency in the Monitoring and Observability and Operations Management categories.

The new AWS Cloud Operations Competency allows customers to select validated AWS Partners who offer comprehensive solutions with an integrated approach across all five solution areas of Cloud Operations: Cloud Financial Management, Cloud Governance, Monitoring and Observability, Compliance and Auditing, and Operations Management. As an AWS Cloud Operations Competency Partner, Moogsoft has demonstrated expertise in helping customers build a strong and scalable foundation for their end-to-end Cloud Operations.

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. Moogsoft follows AWS best practices and has proven experience.

- 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 into 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.

- Operations Management — AWS Partners in this solution area have a proven track record of helping customers plan and build centralized operations management of their infrastructure and workloads on AWS, on-premises, in hybrid environments, and at the edge. AWS Partners help customers leverage automation, built-in best practices, and integrations with their existing IT Service Management (ITSM) and third-party tools, and processes. Additionally, AWS Partners can help customers meet their needs for: Configuration Management, Change Management, Session management, Incident management, Node management and AIOps.

“Moogsoft is proud to achieve the AWS Cloud Operations Competency,” said Phil Tee, CEO and Co-Founder of Moogsoft. “We are committed to assisting our customers attain maximum availability and create robust digital experiences; this achievement reflects that dedication. By leveraging the agility, breadth of services, and pace of innovation that AWS provides, the Moogsoft team has helped hundreds of organizations meet and exceed their business transformation goals.”

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.

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Moogsoft Achieves AWS Cloud Operations Competency

Moogsoft has achieved the Amazon Web Services (AWS) Cloud Operations Competency in the Monitoring and Observability and Operations Management categories.

The new AWS Cloud Operations Competency allows customers to select validated AWS Partners who offer comprehensive solutions with an integrated approach across all five solution areas of Cloud Operations: Cloud Financial Management, Cloud Governance, Monitoring and Observability, Compliance and Auditing, and Operations Management. As an AWS Cloud Operations Competency Partner, Moogsoft has demonstrated expertise in helping customers build a strong and scalable foundation for their end-to-end Cloud Operations.

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. Moogsoft follows AWS best practices and has proven experience.

- 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 into 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.

- Operations Management — AWS Partners in this solution area have a proven track record of helping customers plan and build centralized operations management of their infrastructure and workloads on AWS, on-premises, in hybrid environments, and at the edge. AWS Partners help customers leverage automation, built-in best practices, and integrations with their existing IT Service Management (ITSM) and third-party tools, and processes. Additionally, AWS Partners can help customers meet their needs for: Configuration Management, Change Management, Session management, Incident management, Node management and AIOps.

“Moogsoft is proud to achieve the AWS Cloud Operations Competency,” said Phil Tee, CEO and Co-Founder of Moogsoft. “We are committed to assisting our customers attain maximum availability and create robust digital experiences; this achievement reflects that dedication. By leveraging the agility, breadth of services, and pace of innovation that AWS provides, the Moogsoft team has helped hundreds of organizations meet and exceed their business transformation goals.”

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.

The Latest

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...