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Instana Joins OpenTracing Specification Council

Instana has become a named member of the OpenTracing Specifications Committee, after many years as a contributor in the OpenTracing community.

Furthering their dedication to the diversity of cloud, container and microservice technologies, the company also announced their Silver Membership at the Cloud Native Computing Foundation (CNCF), in addition to new technology partnerships with Docker, Red Hat and Amazon.

"While Instana has been an active participant in OpenTracing workshops and projects for years, we wanted to emphasize our commitment to the OpenTracing standard by becoming a named member," said Fabian Lange, Instana VP of Engineering. "I'm proud of the work we've done with OpenTracing projects over the years to help optimize the developer experience, and excited that we're hosting the next specification work session this May."

For tracing, Instana includes automatic tracing as well as support for OpenTracing, the leading open source methodology for collecting distributed timing data (a trace) from distributed microservice applications. This hybrid approach gives Instana's users the flexibility to cover any type of application framework.

Instana's APM solution leverages automation and Artificial Intelligence (AI) to automatically monitor, visualize and understand microservice and application performance for complex dynamic applications under constant change. The solution correlates performance and tracing data to help guide users to potential problems and corrective actions.

As more organizations increase their reliance on container and cloud-native technologies to deploy applications, the demand for monitoring solutions to operate natively in these environments is growing. By teaming with leading open source and cloud-native technology providers, Instana optimized the delivery of intelligent analysis to customers deploying containerized, orchestrated microservice architectures.

Instana's technology alliance announcements includes:

- Named member of the OpenTracing Specification Committee

- Silver Member of Cloud Native Computing Foundation

- Membership in the Amazon Web Services Partner Network

- Inclusion in Docker Store Marketplace

- Certification in the Red Hat Tech Ready Partner Program

"With the diversity of cloud, container and microservice technology platforms, it's important to work with partners like CNCF, OpenTracing, Docker, Red Hat and Amazon to help ensure that our customers' applications achieve their performance goals," said Pete Abrams, Instana COO and co-founder. "Today's complex applications demand seamless interoperability and a monitoring solution which automatically manages across all the technologies."

Instana's APM solution, with OpenTracing Support, is available now.

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Instana Joins OpenTracing Specification Council

Instana has become a named member of the OpenTracing Specifications Committee, after many years as a contributor in the OpenTracing community.

Furthering their dedication to the diversity of cloud, container and microservice technologies, the company also announced their Silver Membership at the Cloud Native Computing Foundation (CNCF), in addition to new technology partnerships with Docker, Red Hat and Amazon.

"While Instana has been an active participant in OpenTracing workshops and projects for years, we wanted to emphasize our commitment to the OpenTracing standard by becoming a named member," said Fabian Lange, Instana VP of Engineering. "I'm proud of the work we've done with OpenTracing projects over the years to help optimize the developer experience, and excited that we're hosting the next specification work session this May."

For tracing, Instana includes automatic tracing as well as support for OpenTracing, the leading open source methodology for collecting distributed timing data (a trace) from distributed microservice applications. This hybrid approach gives Instana's users the flexibility to cover any type of application framework.

Instana's APM solution leverages automation and Artificial Intelligence (AI) to automatically monitor, visualize and understand microservice and application performance for complex dynamic applications under constant change. The solution correlates performance and tracing data to help guide users to potential problems and corrective actions.

As more organizations increase their reliance on container and cloud-native technologies to deploy applications, the demand for monitoring solutions to operate natively in these environments is growing. By teaming with leading open source and cloud-native technology providers, Instana optimized the delivery of intelligent analysis to customers deploying containerized, orchestrated microservice architectures.

Instana's technology alliance announcements includes:

- Named member of the OpenTracing Specification Committee

- Silver Member of Cloud Native Computing Foundation

- Membership in the Amazon Web Services Partner Network

- Inclusion in Docker Store Marketplace

- Certification in the Red Hat Tech Ready Partner Program

"With the diversity of cloud, container and microservice technology platforms, it's important to work with partners like CNCF, OpenTracing, Docker, Red Hat and Amazon to help ensure that our customers' applications achieve their performance goals," said Pete Abrams, Instana COO and co-founder. "Today's complex applications demand seamless interoperability and a monitoring solution which automatically manages across all the technologies."

Instana's APM solution, with OpenTracing Support, is available now.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...