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Resolve Acquires FixStream

Resolve Systems announced the acquisition of FixStream, a provider of AIOps.

The acquisition, expected to close by the end of September, will enable Resolve to offer a robust IT automation platform by combining artificial intelligence insights into dynamic, hybrid IT environments with powerful automation capabilities that are purpose-built for the complexity of modern enterprises.

The unified platform will handle a wide array of IT operations – from AI-driven infrastructure mapping, operational data correlation, and predictive analytics to intelligently automating cross-domain actions based on those findings. This will enable customers to significantly improve infrastructure performance, reduce mean time to resolution (MTTR), increase IT operations efficiency, reduce alarm noise, and proactively and intelligently allocate resources for critical business services.

Ultimately, the long-term vision for the combined Resolve and FixStream solution is to aid customers in achieving the long-awaited promise of “self-healing IT.” Combining FixStream’s multi-layer visibility and predictive analytics with Resolve’s cross-domain, service-level automation capabilities will arm customers with an unparalleled ability to automatically predict, prevent, and fix issues autonomously. Leveraging dynamic dependency mapping and AI-driven insights to inform, auto-update, and trigger intelligent automations, Resolve will be able to deliver a closed-loop system of discovery, analysis, detection, prediction, and automation.

Acquiring FixStream enables Resolve to further tap into the market for AIOps solutions, which is seeing significant growth as IT teams cope with the conundrum of reducing IT costs while managing increasing complexity, including an exponential uptick in data volumes generated by IT infrastructure and applications. Gartner estimates the subsegment of the performance analysis market that includes AIOps, ITIM, and other monitoring tools will reach $5.7 billion in revenue worldwide by 2020.*

“We believe that FixStream’s AIOps and infrastructure mapping capabilities are a perfect marriage with Resolve’s enterprise automation platform, providing game-changing functionality that will enable customers to achieve unprecedented agility, speed and simplicity in IT operations,” said John Ferron, CEO of Resolve. “By combining our powerful, cross-domain automation with insights from FixStream’s artificial intelligence, we’ll be able to help IT teams accelerate their digital transformation journey.”

“Together, Resolve and FixStream offer IT organizations the complete automation platform they have been looking for. We’ve repeatedly heard the need for a solution that brings together best-in-class AIOps with proven, cross-domain automation capabilities and are thrilled to see this vision become reality,” said Sameer Padhye, CEO and founder of FixStream. “Beyond the synergies that exist within our products, we share the common goal of helping IT organizations address the challenges posed by modern IT infrastructure and improve service delivery.”

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Resolve Acquires FixStream

Resolve Systems announced the acquisition of FixStream, a provider of AIOps.

The acquisition, expected to close by the end of September, will enable Resolve to offer a robust IT automation platform by combining artificial intelligence insights into dynamic, hybrid IT environments with powerful automation capabilities that are purpose-built for the complexity of modern enterprises.

The unified platform will handle a wide array of IT operations – from AI-driven infrastructure mapping, operational data correlation, and predictive analytics to intelligently automating cross-domain actions based on those findings. This will enable customers to significantly improve infrastructure performance, reduce mean time to resolution (MTTR), increase IT operations efficiency, reduce alarm noise, and proactively and intelligently allocate resources for critical business services.

Ultimately, the long-term vision for the combined Resolve and FixStream solution is to aid customers in achieving the long-awaited promise of “self-healing IT.” Combining FixStream’s multi-layer visibility and predictive analytics with Resolve’s cross-domain, service-level automation capabilities will arm customers with an unparalleled ability to automatically predict, prevent, and fix issues autonomously. Leveraging dynamic dependency mapping and AI-driven insights to inform, auto-update, and trigger intelligent automations, Resolve will be able to deliver a closed-loop system of discovery, analysis, detection, prediction, and automation.

Acquiring FixStream enables Resolve to further tap into the market for AIOps solutions, which is seeing significant growth as IT teams cope with the conundrum of reducing IT costs while managing increasing complexity, including an exponential uptick in data volumes generated by IT infrastructure and applications. Gartner estimates the subsegment of the performance analysis market that includes AIOps, ITIM, and other monitoring tools will reach $5.7 billion in revenue worldwide by 2020.*

“We believe that FixStream’s AIOps and infrastructure mapping capabilities are a perfect marriage with Resolve’s enterprise automation platform, providing game-changing functionality that will enable customers to achieve unprecedented agility, speed and simplicity in IT operations,” said John Ferron, CEO of Resolve. “By combining our powerful, cross-domain automation with insights from FixStream’s artificial intelligence, we’ll be able to help IT teams accelerate their digital transformation journey.”

“Together, Resolve and FixStream offer IT organizations the complete automation platform they have been looking for. We’ve repeatedly heard the need for a solution that brings together best-in-class AIOps with proven, cross-domain automation capabilities and are thrilled to see this vision become reality,” said Sameer Padhye, CEO and founder of FixStream. “Beyond the synergies that exist within our products, we share the common goal of helping IT organizations address the challenges posed by modern IT infrastructure and improve service delivery.”

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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 ...

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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 ...