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.”
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...