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Dynatrace Announces Enhanced Observability for All AWS Services

Dynatrace announced the extension of its Software Intelligence Platform to support all services from Amazon Web Services (AWS) that publish metrics to Amazon CloudWatch, a fully managed AWS service that provides monitoring and observability of AWS resources and applications on AWS and on-premises environments.

Combining Amazon CloudWatch metrics with the data already captured by the Dynatrace platform provides customers with richer context and more precise answers for their dynamic AWS and hybrid-cloud environments, helping to drive faster cloud adoption and accelerate their digital transformation.

With these enhancements, Dynatrace will automatically identify and collect metrics from the 95 AWS services currently supported by Amazon CloudWatch. This enriches Dynatrace’s AI-powered answers with the latest services from AWS, including Amazon MSK, Amazon Route 53, Amazon Sagemaker, Amazon Neptune, and Amazon MQ. Metrics from these and all services that publish metrics to CloudWatch are automatically combined with the distributed tracing, log, user experience, and other observability data already processed by the Dynatrace platform. As a result, Dynatrace-AWS customers not only get all CloudWatch metrics streamed to dashboards automatically, they also gain automatic, self-adjusting baselining, immediate anomaly detection, and precise root-cause determination prioritized by business impact across their entire AWS and hybrid/multicloud environment. This combination of CloudWatch metrics, additional observability data, automation, and AI-powered assistance saves digital teams considerable time and resources, allowing them to focus on innovative, high-value tasks that drive better business outcomes.

“As organizations increasingly invest in cloud-native development using AWS, as well as microservices and Kubernetes architectures, complete visibility into these dynamic environments is critical,” said Bob Wilkinson, GM Monitoring and Observability Services, Amazon Web Services, Inc. “Organizations need the right capabilities to achieve that level of visibility, and Dynatrace can be a key part of the solution along with Amazon CloudWatch. I am excited the Dynatrace Software Intelligence Platform now supports any AWS service that publishes metrics to CloudWatch. This enables even greater automation and observability for customers as they migrate architectures to AWS.”

“Our customers are accelerating their digital transformation, and many are adopting AWS to help them on that journey. We built our Software Intelligence Platform purposefully for dynamic environments such as AWS, with AI-assistance and continuous automation at the core,” said Steve Tack, SVP Product Management, Dynatrace. “We’ve always delivered distributed tracing and code-level insights for applications and microservices running on AWS. This enhanced AWS integration allows us to provide rapid support as Amazon introduces new services for observability into any layer or service in their cloud stack. We are proud of our relationship with AWS and the enhanced value we continue to deliver to joint customers.”

Dynatrace’s ability to ingest metrics from the 95 AWS CloudWatch services will be available within the next 60 days.

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Dynatrace Announces Enhanced Observability for All AWS Services

Dynatrace announced the extension of its Software Intelligence Platform to support all services from Amazon Web Services (AWS) that publish metrics to Amazon CloudWatch, a fully managed AWS service that provides monitoring and observability of AWS resources and applications on AWS and on-premises environments.

Combining Amazon CloudWatch metrics with the data already captured by the Dynatrace platform provides customers with richer context and more precise answers for their dynamic AWS and hybrid-cloud environments, helping to drive faster cloud adoption and accelerate their digital transformation.

With these enhancements, Dynatrace will automatically identify and collect metrics from the 95 AWS services currently supported by Amazon CloudWatch. This enriches Dynatrace’s AI-powered answers with the latest services from AWS, including Amazon MSK, Amazon Route 53, Amazon Sagemaker, Amazon Neptune, and Amazon MQ. Metrics from these and all services that publish metrics to CloudWatch are automatically combined with the distributed tracing, log, user experience, and other observability data already processed by the Dynatrace platform. As a result, Dynatrace-AWS customers not only get all CloudWatch metrics streamed to dashboards automatically, they also gain automatic, self-adjusting baselining, immediate anomaly detection, and precise root-cause determination prioritized by business impact across their entire AWS and hybrid/multicloud environment. This combination of CloudWatch metrics, additional observability data, automation, and AI-powered assistance saves digital teams considerable time and resources, allowing them to focus on innovative, high-value tasks that drive better business outcomes.

“As organizations increasingly invest in cloud-native development using AWS, as well as microservices and Kubernetes architectures, complete visibility into these dynamic environments is critical,” said Bob Wilkinson, GM Monitoring and Observability Services, Amazon Web Services, Inc. “Organizations need the right capabilities to achieve that level of visibility, and Dynatrace can be a key part of the solution along with Amazon CloudWatch. I am excited the Dynatrace Software Intelligence Platform now supports any AWS service that publishes metrics to CloudWatch. This enables even greater automation and observability for customers as they migrate architectures to AWS.”

“Our customers are accelerating their digital transformation, and many are adopting AWS to help them on that journey. We built our Software Intelligence Platform purposefully for dynamic environments such as AWS, with AI-assistance and continuous automation at the core,” said Steve Tack, SVP Product Management, Dynatrace. “We’ve always delivered distributed tracing and code-level insights for applications and microservices running on AWS. This enhanced AWS integration allows us to provide rapid support as Amazon introduces new services for observability into any layer or service in their cloud stack. We are proud of our relationship with AWS and the enhanced value we continue to deliver to joint customers.”

Dynatrace’s ability to ingest metrics from the 95 AWS CloudWatch services will be available within the next 60 days.

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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 ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

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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