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Dynatrace Releases Monitoring for Cloud Foundry

Dynatrace announced the availability of the BOSH add-on, providing fully-automated, AI-powered, full-stack performance monitoring capabilities for Cloud Foundry.

With the new Dynatrace BOSH add-on, organizations can now obtain full transaction visibility; from the end user, through Cloud Foundry (including all components of the platform), to the underlying IaaS, with zero-configuration. This enables organizations to streamline their development pipeline and maximize the benefits of Cloud Foundry deployments; including rapid cloud native application development, reduced operational costs, and faster delivery of business value to users.

Dynatrace is able to auto-inject into Cloud Foundry’s Garden-runC containers, enabling it to auto-discover applications, microservices and the underlying infrastructure supporting service deployments. The new Dynatrace BOSH add-on enhances these capabilities even further, enabling users to roll out its OneAgent to all Cloud Foundry components, with zero-configuration required.

“Together with Cloud Foundry, we are enabling organizations to speed-up digital innovation by accelerating the move to cloud-native applications,” said Alois Reitbauer, Chief Technical Strategist at Dynatrace.

“Our new BOSH add-on is the secret sauce that enables Dynatrace to automatically discover and monitor all applications and microservices running in a Cloud Foundry cluster, as well as the Cloud Foundry platform itself. When combined with the AI capabilities within Dynatrace, this allows organizations to obtain deep insights into microservice performance and service interactions. As a result, users can automatically detect performance problems across the full stack and optimize microservices deployments at every stage of the delivery lifecycle, to drive faster business value.”

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Dynatrace Releases Monitoring for Cloud Foundry

Dynatrace announced the availability of the BOSH add-on, providing fully-automated, AI-powered, full-stack performance monitoring capabilities for Cloud Foundry.

With the new Dynatrace BOSH add-on, organizations can now obtain full transaction visibility; from the end user, through Cloud Foundry (including all components of the platform), to the underlying IaaS, with zero-configuration. This enables organizations to streamline their development pipeline and maximize the benefits of Cloud Foundry deployments; including rapid cloud native application development, reduced operational costs, and faster delivery of business value to users.

Dynatrace is able to auto-inject into Cloud Foundry’s Garden-runC containers, enabling it to auto-discover applications, microservices and the underlying infrastructure supporting service deployments. The new Dynatrace BOSH add-on enhances these capabilities even further, enabling users to roll out its OneAgent to all Cloud Foundry components, with zero-configuration required.

“Together with Cloud Foundry, we are enabling organizations to speed-up digital innovation by accelerating the move to cloud-native applications,” said Alois Reitbauer, Chief Technical Strategist at Dynatrace.

“Our new BOSH add-on is the secret sauce that enables Dynatrace to automatically discover and monitor all applications and microservices running in a Cloud Foundry cluster, as well as the Cloud Foundry platform itself. When combined with the AI capabilities within Dynatrace, this allows organizations to obtain deep insights into microservice performance and service interactions. As a result, users can automatically detect performance problems across the full stack and optimize microservices deployments at every stage of the delivery lifecycle, to drive faster business value.”

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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 ...

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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 ...