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Dynatrace Provides Application Monitoring for Pivotal Cloud Foundry

Dynatrace has teamed up with Pivotal to deploy its application monitoring solutions for the Pivotal Cloud Foundry (PCF) platform.

Dynatrace Application Monitoring Service Broker Tile and Buildpack Extensions for Pivotal Cloud Foundry will provide deep, actionable performance insights for businesses with cloud initiatives.

According to Forrester Research, developers moving into the second wave of cloud computing value multi-cloud service management, agile integration and expanded platform services. Forrester reports an acceleration of the adoption of all cloud service categories through 2020. This acceleration to the cloud drives a heightened focus on the digital performance of cloud applications. The integration of Dynatrace with Pivotal Cloud Foundry will enable companies to take advantage of this acceleration by collecting deep analytics for applications running on PCF, allowing them to detect and act on performance shortcomings quickly, and proactively optimize end-to-end transaction latencies.

“The root-cause-analysis capabilities in Dynatrace products solve the new set of challenges that a Cloud Native microservices architecture creates - namely, that there are so many moving parts, it can be difficult to identify the underlying cause of aberrant system behavior,” said Joshua McKenty, Head of Platform Ecosystem at Pivotal. “For example, Dynatrace Ruxit operates at a level that provides true causation across containers, VMs, and data services - not just correlation of events and log streams. Combined with Dynatrace Application Monitoring, our customers will get root cause analysis with powerful monitoring of apps, containers and VMs under management.”

Additionally, the collaboration creates new opportunities for both companies’ customer bases – particularly those focused on Cloud Native application development and multi-cloud deployments. Dynatrace for Pivotal Cloud Foundry will accelerate initiatives to migrate applications to the cloud by enabling teams to:

- Gain a complete view of transactions across their portfolio of apps and microservices.

- Quickly identify and resolve application performance issues.

- Create performance baselines to ensure great end-user experience before and after migration.

“For Pivotal Cloud Foundry users, this collaboration will result in new levels of actionable insight into their apps,” said Rob Cohen, VP of Strategic Business Development at Dynatrace. “Equally important for companies leading the Cloud Native approach, it will encourage better collaboration through data transparency, which is a key part of continuous delivery in the cloud.”

The Dynatrace Application Monitoring Service Broker Tile beta and the Buildpack Extensions for Pivotal Cloud Foundry are available now. The Ruxit Service Broker for Cloud Foundry will be available at a later date.

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Dynatrace Provides Application Monitoring for Pivotal Cloud Foundry

Dynatrace has teamed up with Pivotal to deploy its application monitoring solutions for the Pivotal Cloud Foundry (PCF) platform.

Dynatrace Application Monitoring Service Broker Tile and Buildpack Extensions for Pivotal Cloud Foundry will provide deep, actionable performance insights for businesses with cloud initiatives.

According to Forrester Research, developers moving into the second wave of cloud computing value multi-cloud service management, agile integration and expanded platform services. Forrester reports an acceleration of the adoption of all cloud service categories through 2020. This acceleration to the cloud drives a heightened focus on the digital performance of cloud applications. The integration of Dynatrace with Pivotal Cloud Foundry will enable companies to take advantage of this acceleration by collecting deep analytics for applications running on PCF, allowing them to detect and act on performance shortcomings quickly, and proactively optimize end-to-end transaction latencies.

“The root-cause-analysis capabilities in Dynatrace products solve the new set of challenges that a Cloud Native microservices architecture creates - namely, that there are so many moving parts, it can be difficult to identify the underlying cause of aberrant system behavior,” said Joshua McKenty, Head of Platform Ecosystem at Pivotal. “For example, Dynatrace Ruxit operates at a level that provides true causation across containers, VMs, and data services - not just correlation of events and log streams. Combined with Dynatrace Application Monitoring, our customers will get root cause analysis with powerful monitoring of apps, containers and VMs under management.”

Additionally, the collaboration creates new opportunities for both companies’ customer bases – particularly those focused on Cloud Native application development and multi-cloud deployments. Dynatrace for Pivotal Cloud Foundry will accelerate initiatives to migrate applications to the cloud by enabling teams to:

- Gain a complete view of transactions across their portfolio of apps and microservices.

- Quickly identify and resolve application performance issues.

- Create performance baselines to ensure great end-user experience before and after migration.

“For Pivotal Cloud Foundry users, this collaboration will result in new levels of actionable insight into their apps,” said Rob Cohen, VP of Strategic Business Development at Dynatrace. “Equally important for companies leading the Cloud Native approach, it will encourage better collaboration through data transparency, which is a key part of continuous delivery in the cloud.”

The Dynatrace Application Monitoring Service Broker Tile beta and the Buildpack Extensions for Pivotal Cloud Foundry are available now. The Ruxit Service Broker for Cloud Foundry will be available at a later date.

The Latest

A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...