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Dynatrace Supports AWS Compute Optimizer

Dynatrace announced its platform natively supports AWS Compute Optimizer, a service that uses customers’ utilization data to provide recommendations on provisioning Amazon Web Services (AWS) resources for improved resource utilization.

This support enables the Dynatrace platform to automatically capture and analyze all Amazon Elastic Compute Cloud (Amazon EC2) instances in customers’ AWS environments in near-real time and use Dynatrace causal AIOps and automation capabilities to continuously optimize Amazon EC2 consumption for cost, service reliability, and performance. This offering builds on the Dynatrace platform’s ability to automatically capture full-stack observability metrics, with continuous topology and dependency mapping, to power intelligent and automated cloud modernization at scale.

“Dynatrace is proud to work with AWS to help customers modernize and automate cloud operations,” said Bob Wambach, VP of Product Marketing at Dynatrace. “Extending our advanced observability, AIOps, and automation capabilities to power AWS Compute Optimizer enables our joint customers to prevent performance issues, avoid costly over-provisioning, and operate more efficiently so they can focus on what matters most – accelerating innovation and delivering exceptional digital experiences.”

“To achieve an elastic, well-architected cloud environment, organizations must be able to optimize their usage of cloud resources,” said Rick Ochs, Principal Product Manager of Optimizations at AWS. “With the Dynatrace platform’s support of AWS Compute Optimizer, we provide our customers with memory-aware rightsizing so they can increase operational efficiency and get the most out of AWS.”

Dynatrace’s service is generally available today.

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Dynatrace Supports AWS Compute Optimizer

Dynatrace announced its platform natively supports AWS Compute Optimizer, a service that uses customers’ utilization data to provide recommendations on provisioning Amazon Web Services (AWS) resources for improved resource utilization.

This support enables the Dynatrace platform to automatically capture and analyze all Amazon Elastic Compute Cloud (Amazon EC2) instances in customers’ AWS environments in near-real time and use Dynatrace causal AIOps and automation capabilities to continuously optimize Amazon EC2 consumption for cost, service reliability, and performance. This offering builds on the Dynatrace platform’s ability to automatically capture full-stack observability metrics, with continuous topology and dependency mapping, to power intelligent and automated cloud modernization at scale.

“Dynatrace is proud to work with AWS to help customers modernize and automate cloud operations,” said Bob Wambach, VP of Product Marketing at Dynatrace. “Extending our advanced observability, AIOps, and automation capabilities to power AWS Compute Optimizer enables our joint customers to prevent performance issues, avoid costly over-provisioning, and operate more efficiently so they can focus on what matters most – accelerating innovation and delivering exceptional digital experiences.”

“To achieve an elastic, well-architected cloud environment, organizations must be able to optimize their usage of cloud resources,” said Rick Ochs, Principal Product Manager of Optimizations at AWS. “With the Dynatrace platform’s support of AWS Compute Optimizer, we provide our customers with memory-aware rightsizing so they can increase operational efficiency and get the most out of AWS.”

Dynatrace’s service is generally available today.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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