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SolarWinds Partners with OpsGenie

SolarWinds announced a strategic partnership with OpsGenie, an alerting and on-call management solution for development and operations teams.

The partnership comes as SolarWinds discontinues its free alert aggregation tool, SolarWinds Alert Central.

“When considering the future for SolarWinds Alert Central, we surveyed the market and quickly realized OpsGenie is doing a great job filling the gap we originally identified,” said Mav Turner, Senior Director, Product Management, SolarWinds. “While we believe SolarWinds Alert Central was effective at meeting many of our customers’ alert management needs, we want to make sure they have the right long-term solution to solve all of their alerting and on-call management needs, and that’s what OpsGenie will provide them. I’m extremely excited about the benefits the SolarWinds and OpsGenie partnership will provide our customers.”

OpsGenie provides an incident response solution specifically tailored to SolarWinds customers. With OpsGenie, SolarWinds customers can create customized on-call incident response teams that match their operational structure. OpsGenie also has an efficient and easy-to-apply bi-directional integration with SolarWinds Network Performance Monitor (NPM). This allows OpsGenie to determine the right people to notify based on on-call schedules; dispatch alerts using email, text message (SMS), phone call and iPhone and Android push notification; and escalate until an alert is acknowledged or closed.

“OpsGenie is excited to be the Alerting and On-Call Management platform of choice for SolarWinds and its customers,” said Berkay Mollamustafoaglu, CEO, OpsGenie. “We firmly believe that OpsGenie will provide SolarWinds customers the features they need at a price point that makes sense, including a free tier for existing SolarWinds Alert Central users.”

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SolarWinds Partners with OpsGenie

SolarWinds announced a strategic partnership with OpsGenie, an alerting and on-call management solution for development and operations teams.

The partnership comes as SolarWinds discontinues its free alert aggregation tool, SolarWinds Alert Central.

“When considering the future for SolarWinds Alert Central, we surveyed the market and quickly realized OpsGenie is doing a great job filling the gap we originally identified,” said Mav Turner, Senior Director, Product Management, SolarWinds. “While we believe SolarWinds Alert Central was effective at meeting many of our customers’ alert management needs, we want to make sure they have the right long-term solution to solve all of their alerting and on-call management needs, and that’s what OpsGenie will provide them. I’m extremely excited about the benefits the SolarWinds and OpsGenie partnership will provide our customers.”

OpsGenie provides an incident response solution specifically tailored to SolarWinds customers. With OpsGenie, SolarWinds customers can create customized on-call incident response teams that match their operational structure. OpsGenie also has an efficient and easy-to-apply bi-directional integration with SolarWinds Network Performance Monitor (NPM). This allows OpsGenie to determine the right people to notify based on on-call schedules; dispatch alerts using email, text message (SMS), phone call and iPhone and Android push notification; and escalate until an alert is acknowledged or closed.

“OpsGenie is excited to be the Alerting and On-Call Management platform of choice for SolarWinds and its customers,” said Berkay Mollamustafoaglu, CEO, OpsGenie. “We firmly believe that OpsGenie will provide SolarWinds customers the features they need at a price point that makes sense, including a free tier for existing SolarWinds Alert Central users.”

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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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.