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Instana Acquires BeeInstant, Signify and StackImpact

Instana has acquired three technologies in the advanced application performance management area to continue to enable Instana’s customers to build, deliver and operate better performing software and services faster.

The three acquisitions consist of two companies, BeeInstant Ltd and StackImpact GmbH, and the Signify technology from JINSPIRED B.V., which will be integrated with Instana’s leading APM solution for microservice applications, providing critical functionality to enhance the ability of Application Delivery teams to monitor and trace high-frequency applications without sampling and deep automated analysis of complex interdependent systems.

The acquisitions augment Instana’s next-generation microservices and Kubernetes performance management solution to deliver high-frequency cloud application metrics, recognize and analyze complex system signals, perform code-level profiling and further automate root-cause analysis.

Some of these innovations include:

- StackImpact – the first polyglot production application profiler

- BeeInstant – a solution in the emerging area of high-frequency metrics analysis in large scale cloud environments

- Signify – a solution to provide insight into complex system signals

“Organizations of all sizes must deliver better software faster while creating more complex systems, involving more stakeholders in continuous services operations and striving for quicker business changes and more frequent software release cycles,” said Mirko Novakovic, co-founder and CEO of Instana. “The addition and integration of StackImpact, BeeInstant and Signify into our APM platform allows Instana to build upon our leadership in providing automated application insights to the broadest set of application stakeholders, including developers, DevOps, SRE, IT Ops and Service delivery teams.”

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Instana Acquires BeeInstant, Signify and StackImpact

Instana has acquired three technologies in the advanced application performance management area to continue to enable Instana’s customers to build, deliver and operate better performing software and services faster.

The three acquisitions consist of two companies, BeeInstant Ltd and StackImpact GmbH, and the Signify technology from JINSPIRED B.V., which will be integrated with Instana’s leading APM solution for microservice applications, providing critical functionality to enhance the ability of Application Delivery teams to monitor and trace high-frequency applications without sampling and deep automated analysis of complex interdependent systems.

The acquisitions augment Instana’s next-generation microservices and Kubernetes performance management solution to deliver high-frequency cloud application metrics, recognize and analyze complex system signals, perform code-level profiling and further automate root-cause analysis.

Some of these innovations include:

- StackImpact – the first polyglot production application profiler

- BeeInstant – a solution in the emerging area of high-frequency metrics analysis in large scale cloud environments

- Signify – a solution to provide insight into complex system signals

“Organizations of all sizes must deliver better software faster while creating more complex systems, involving more stakeholders in continuous services operations and striving for quicker business changes and more frequent software release cycles,” said Mirko Novakovic, co-founder and CEO of Instana. “The addition and integration of StackImpact, BeeInstant and Signify into our APM platform allows Instana to build upon our leadership in providing automated application insights to the broadest set of application stakeholders, including developers, DevOps, SRE, IT Ops and Service delivery teams.”

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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 ...