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Instana Introduces Full Stack Monitoring of Kubernetes Orchestrated Applications

Instana announced full-stack monitoring support for Kubernetes-orchestrated applications, including those managed by Red Hat OpenShift Container Platform.

By leveraging its AI capability, Instana has delivered a powerful solution for managing today’s dynamic applications running in containerized environments through its unique ability to analyze and report performance in real-time.

Instana now provides full stack monitoring of Kubernetes-powered applications through extended capabilities into the Kubernetes platform. Instana’s AI-powered APM solution now monitors the most complex components of an application stack, adding the ability to discover, analyze and monitor between the different tech stacks. These added capabilities will work in-between Kubernetes orchestration layers to provide operators with an inclusive image and complete observability of their applications. Applying intelligent analysis, Instana provides Kubernetes administrators with comprehensive visibility and performance management of their orchestrator and the impact actions have on applications. Instana’s support augments Kubernetes capabilities to provide enhanced service quality management and increase the understanding of an application’s running condition.

“Kubernetes is seeing continued adoption, from customers who are digitally transforming and building high speed application development organizations and the industry. We viewed this as an opportunity to create capabilities that could work complementary to, and in unison with such a successful and useful platform,” said Mirko Novakovic, Instana founder and CEO. “We are thrilled to leverage Instana’s solution to augment the Kubernetes platform and provide our customers with full stack monitoring and understanding of dynamic orchestration environments.”

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Instana Introduces Full Stack Monitoring of Kubernetes Orchestrated Applications

Instana announced full-stack monitoring support for Kubernetes-orchestrated applications, including those managed by Red Hat OpenShift Container Platform.

By leveraging its AI capability, Instana has delivered a powerful solution for managing today’s dynamic applications running in containerized environments through its unique ability to analyze and report performance in real-time.

Instana now provides full stack monitoring of Kubernetes-powered applications through extended capabilities into the Kubernetes platform. Instana’s AI-powered APM solution now monitors the most complex components of an application stack, adding the ability to discover, analyze and monitor between the different tech stacks. These added capabilities will work in-between Kubernetes orchestration layers to provide operators with an inclusive image and complete observability of their applications. Applying intelligent analysis, Instana provides Kubernetes administrators with comprehensive visibility and performance management of their orchestrator and the impact actions have on applications. Instana’s support augments Kubernetes capabilities to provide enhanced service quality management and increase the understanding of an application’s running condition.

“Kubernetes is seeing continued adoption, from customers who are digitally transforming and building high speed application development organizations and the industry. We viewed this as an opportunity to create capabilities that could work complementary to, and in unison with such a successful and useful platform,” said Mirko Novakovic, Instana founder and CEO. “We are thrilled to leverage Instana’s solution to augment the Kubernetes platform and provide our customers with full stack monitoring and understanding of dynamic orchestration environments.”

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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 ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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Azul