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Dynatrace Teams with Google and Microsoft on OpenTelemetry

Dynatrace is collaborating with Google and Microsoft on the OpenTelemetry project to shape the future of open standards-based observability.

To further advance the industry and extend the reach of its Software Intelligence Platform, Dynatrace is contributing transaction tracing knowhow and manpower to the project.

OpenTelemetry is focused on providing standardized transaction-level observability through the generation, collection, and description of telemetry data for distributed cloud-native systems. As OpenTelemetry becomes more widely adopted, it will serve as an additional data source that further extends the breadth of cloud observability, including expanding the broad reach of what the Dynatrace Software Intelligence Platform already automatically collects and ingests into Davis, its explainable AI engine.

“Our goal is to ensure ‘run the business’ software underpinning digital enterprises works perfectly, so we feel it’s important to contribute our expertise to this open source project to improve and advance observability in a broader manner,” said Alois Reitbauer, Chief Technical Strategist and Head of the Dynatrace Innovation Lab. “The OpenTelemetry initiative will enable developers of cloud-native applications to build standardized observability into their software. As this gains momentum, observability will be increasingly differentiated by what can be done with data, versus simply how much data can be collected. That’s why we’re excited for the day when OpenTelemetry is widely adopted, as it will increase the breadth of the data and scope of the cloud ecosystem that organizations can observe. As a result, our customers will benefit from richer insights and more actionable answers.”

Dynatrace is working with Microsoft, Google and others as a core contributor to OpenTelemetry, providing its technical knowhow, manpower, and code to equip the project with enterprise-grade capabilities, including:

- Higher-level instrumentation APIs: offering higher-fidelity tracing code to enable developers to quickly and easily build observability into their cloud-native applications and reduce the monitoring blind-spots as new methodologies and programming languages emerge.

- Integration of universal Trace Context: supporting the availability of transactional context across hybrid multi-clouds, ensuring organizations can more easily maintain end-to-end observability across their cloud-native ecosystems.

- Runtime management: helping organizations ensure the resources needed to gain observability into the individual components and software libraries underpinning their cloud-native applications are dynamically available.

“The ultimate goal of OpenTelemetry is to become the default way that developers and operators capture performance information from their services,” said Morgan McLean, Product Manager at Google. “We cannot reach that goal without the support of a strong ecosystem. We are thrilled Dynatrace is a core contributor to OpenTelemetry. The broader community will benefit from its nearly 15 years of experience in automated and distributed tracing for enterprises.”

Hong Gao, Group Program Manager at Microsoft Corp. said, “We had a highly productive collaboration with Dynatrace on the W3C Trace Context standard, and we look forward to working together on advancing OpenTelemetry for developers.”

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Dynatrace Teams with Google and Microsoft on OpenTelemetry

Dynatrace is collaborating with Google and Microsoft on the OpenTelemetry project to shape the future of open standards-based observability.

To further advance the industry and extend the reach of its Software Intelligence Platform, Dynatrace is contributing transaction tracing knowhow and manpower to the project.

OpenTelemetry is focused on providing standardized transaction-level observability through the generation, collection, and description of telemetry data for distributed cloud-native systems. As OpenTelemetry becomes more widely adopted, it will serve as an additional data source that further extends the breadth of cloud observability, including expanding the broad reach of what the Dynatrace Software Intelligence Platform already automatically collects and ingests into Davis, its explainable AI engine.

“Our goal is to ensure ‘run the business’ software underpinning digital enterprises works perfectly, so we feel it’s important to contribute our expertise to this open source project to improve and advance observability in a broader manner,” said Alois Reitbauer, Chief Technical Strategist and Head of the Dynatrace Innovation Lab. “The OpenTelemetry initiative will enable developers of cloud-native applications to build standardized observability into their software. As this gains momentum, observability will be increasingly differentiated by what can be done with data, versus simply how much data can be collected. That’s why we’re excited for the day when OpenTelemetry is widely adopted, as it will increase the breadth of the data and scope of the cloud ecosystem that organizations can observe. As a result, our customers will benefit from richer insights and more actionable answers.”

Dynatrace is working with Microsoft, Google and others as a core contributor to OpenTelemetry, providing its technical knowhow, manpower, and code to equip the project with enterprise-grade capabilities, including:

- Higher-level instrumentation APIs: offering higher-fidelity tracing code to enable developers to quickly and easily build observability into their cloud-native applications and reduce the monitoring blind-spots as new methodologies and programming languages emerge.

- Integration of universal Trace Context: supporting the availability of transactional context across hybrid multi-clouds, ensuring organizations can more easily maintain end-to-end observability across their cloud-native ecosystems.

- Runtime management: helping organizations ensure the resources needed to gain observability into the individual components and software libraries underpinning their cloud-native applications are dynamically available.

“The ultimate goal of OpenTelemetry is to become the default way that developers and operators capture performance information from their services,” said Morgan McLean, Product Manager at Google. “We cannot reach that goal without the support of a strong ecosystem. We are thrilled Dynatrace is a core contributor to OpenTelemetry. The broader community will benefit from its nearly 15 years of experience in automated and distributed tracing for enterprises.”

Hong Gao, Group Program Manager at Microsoft Corp. said, “We had a highly productive collaboration with Dynatrace on the W3C Trace Context standard, and we look forward to working together on advancing OpenTelemetry for developers.”

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...