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Dynatrace Achieves AWS Cloud Operations Competency for Monitoring and Observability

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

By earning this competency, Dynatrace has demonstrated its expertise in helping customers build a strong and scalable foundation for their end-to-end cloud operations. It also highlights the company’s success in helping its customers accelerate the adoption and optimization of cloud technologies to meet their digital transformation goals. This competency recognition builds on Dynatrace’s broad and deep support of the AWS ecosystem, as reflected in its existing AWS Competency designations, including the AWS Government Competency, AWS Migration & Modernization Competency, AWS Machine Learning in Applied AI Competency, AWS Container Competency, and AWS DevOps Competency.

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 new AWS Cloud Operations Competency allows customers to select validated AWS Partner Network (APN) members who offer comprehensive solutions with an integrated approach across five solution areas of Cloud Operations: Cloud Financial Management, Cloud Governance, Monitoring and Observability, Compliance and Auditing, and Operations Management. AWS Partners in the Monitoring and Observability 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.

Mike Maciag, Chief Marketing Officer at Dynatrace, said: “By providing precise answers and intelligent automation from the massive volumes of data flowing through modern clouds, we empower organizations to innovate faster, operate more efficiently, and drive greater business value. Augmenting our existing AWS competencies with the new AWS Cloud Operations Competency for Monitoring and Observability gives customers the added confidence of Dynatrace’s significant expertise on AWS.”

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Dynatrace Achieves AWS Cloud Operations Competency for Monitoring and Observability

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

By earning this competency, Dynatrace has demonstrated its expertise in helping customers build a strong and scalable foundation for their end-to-end cloud operations. It also highlights the company’s success in helping its customers accelerate the adoption and optimization of cloud technologies to meet their digital transformation goals. This competency recognition builds on Dynatrace’s broad and deep support of the AWS ecosystem, as reflected in its existing AWS Competency designations, including the AWS Government Competency, AWS Migration & Modernization Competency, AWS Machine Learning in Applied AI Competency, AWS Container Competency, and AWS DevOps Competency.

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 new AWS Cloud Operations Competency allows customers to select validated AWS Partner Network (APN) members who offer comprehensive solutions with an integrated approach across five solution areas of Cloud Operations: Cloud Financial Management, Cloud Governance, Monitoring and Observability, Compliance and Auditing, and Operations Management. AWS Partners in the Monitoring and Observability 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.

Mike Maciag, Chief Marketing Officer at Dynatrace, said: “By providing precise answers and intelligent automation from the massive volumes of data flowing through modern clouds, we empower organizations to innovate faster, operate more efficiently, and drive greater business value. Augmenting our existing AWS competencies with the new AWS Cloud Operations Competency for Monitoring and Observability gives customers the added confidence of Dynatrace’s significant expertise on AWS.”

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While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...