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ORSYP Acquires Streamcore

ORSYP, a provider of IT Operations Management software and services, has acquired Streamcore, a provider of application performance management solutions for the Cloud.

Streamcore adds streaming, response-time and traffic monitoring of wide area networks (WANs) to ORSYP’s performance monitoring, capacity management and workload automation capabilities.

As organizations expand global operations, leverage Cloud with in-house applications and seek to manage the inexorable growth in data volumes and network traffic, they require performance monitoring solutions that assure end-users have access to responsive IT services. Combining Streamcore with ORSYP, customers will be able to address critical challenges optimizing delivery of IT services to end-users throughout the enterprise network in real-time as well as anticipating future demands.

"With Streamcore we can ensure customers get end-to-end visibility and control of the critical applications and services they provide, from the end-user experience right down to the communications infrastructure," commented Jean-Michel Breul, ORSYP Chief Technology Officer. “Further integration of Streamcore and ORSYP technology will allow customers to benefit from more integrated performance measurement as well gaining extra insights that will assist them in predictive analysis and capacity planning.”

“We are excited about becoming part of a team that prides itself on technology innovation,” said Remi Lucet, Streamcore co-founder and Chief Scientific Officer. “Joining ORSYP we are looking forward to exploiting the powerful synergies that our companies share that will enable us to bring significant value to the quality of services our customers provide to their users.”

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ORSYP Acquires Streamcore

ORSYP, a provider of IT Operations Management software and services, has acquired Streamcore, a provider of application performance management solutions for the Cloud.

Streamcore adds streaming, response-time and traffic monitoring of wide area networks (WANs) to ORSYP’s performance monitoring, capacity management and workload automation capabilities.

As organizations expand global operations, leverage Cloud with in-house applications and seek to manage the inexorable growth in data volumes and network traffic, they require performance monitoring solutions that assure end-users have access to responsive IT services. Combining Streamcore with ORSYP, customers will be able to address critical challenges optimizing delivery of IT services to end-users throughout the enterprise network in real-time as well as anticipating future demands.

"With Streamcore we can ensure customers get end-to-end visibility and control of the critical applications and services they provide, from the end-user experience right down to the communications infrastructure," commented Jean-Michel Breul, ORSYP Chief Technology Officer. “Further integration of Streamcore and ORSYP technology will allow customers to benefit from more integrated performance measurement as well gaining extra insights that will assist them in predictive analysis and capacity planning.”

“We are excited about becoming part of a team that prides itself on technology innovation,” said Remi Lucet, Streamcore co-founder and Chief Scientific Officer. “Joining ORSYP we are looking forward to exploiting the powerful synergies that our companies share that will enable us to bring significant value to the quality of services our customers provide to their users.”

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80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

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Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

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