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Edgeview Powered by BMC Software Provides Akamai Customers with Real-time View of Web Application Performance

Akamai Technologies and BMC Software have released Edgeview powered by BMC Software, a virtual software appliance that provides companies with visibility into the performance of Web applications delivered over the Akamai Platform.

To help companies prove ROI and ensure peak performance of the increasing number of mission-critical applications being moved to the cloud, Edgeview powered by BMC Software gives companies using Akamai’s Dynamic Site Accelerator and Web Application Accelerator solutions independent, third-party insight into the end-user experience and Web application performance.

“Today’s leading enterprises demand real-time, global visibility into the experience of end users to ensure consistent quality of service,” explained Dennis Drogseth, VP at EMA, an IT and Data management industry research analyst firm headquartered in Portsmouth NH. “As businesses continue to take advantage of the cloud for application delivery, validating the investment in application acceleration and other cloud-delivered technologies becomes even more important. EMA believes that cloud service providers will divide themselves into two categories: commodity providers and partners able to work with enterprise customers in meeting critical SLAs. Through its partnership with BMC, Akamai has clearly established itself within the partner category.”

“The Edgeview powered by BMC Software solution gives Akamai customers excellent visibility into the ongoing performance of their cloud-accelerated applications,” says Willie Tejada, Vice President of Application and Site Acceleration at Akamai. “This new offering is designed to help organizations ensure the best possible end-user experience and demonstrate the return on investment from their cloud strategies.”

An easy-to-deploy, virtual software appliance, Edgeview powered by BMC Software collects Web performance data from three sources: the customer’s data center, the end-user’s browser and the Akamai Platform. Sophisticated analysis compares the performance of applications and sites accelerated by Akamai with those that are not, helping to determine where performance issues may exist and providing the data required to calculate the value derived from Akamai’s global platform. This enables IT and line of business managers to make informed performance management decisions.

Edgeview powered by BMC Software also provides historical performance data so IT professionals can determine when specific problems occurred, the severity of incidents plus regions and users impacted.

The Latest

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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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 ...

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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 ...

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Edgeview Powered by BMC Software Provides Akamai Customers with Real-time View of Web Application Performance

Akamai Technologies and BMC Software have released Edgeview powered by BMC Software, a virtual software appliance that provides companies with visibility into the performance of Web applications delivered over the Akamai Platform.

To help companies prove ROI and ensure peak performance of the increasing number of mission-critical applications being moved to the cloud, Edgeview powered by BMC Software gives companies using Akamai’s Dynamic Site Accelerator and Web Application Accelerator solutions independent, third-party insight into the end-user experience and Web application performance.

“Today’s leading enterprises demand real-time, global visibility into the experience of end users to ensure consistent quality of service,” explained Dennis Drogseth, VP at EMA, an IT and Data management industry research analyst firm headquartered in Portsmouth NH. “As businesses continue to take advantage of the cloud for application delivery, validating the investment in application acceleration and other cloud-delivered technologies becomes even more important. EMA believes that cloud service providers will divide themselves into two categories: commodity providers and partners able to work with enterprise customers in meeting critical SLAs. Through its partnership with BMC, Akamai has clearly established itself within the partner category.”

“The Edgeview powered by BMC Software solution gives Akamai customers excellent visibility into the ongoing performance of their cloud-accelerated applications,” says Willie Tejada, Vice President of Application and Site Acceleration at Akamai. “This new offering is designed to help organizations ensure the best possible end-user experience and demonstrate the return on investment from their cloud strategies.”

An easy-to-deploy, virtual software appliance, Edgeview powered by BMC Software collects Web performance data from three sources: the customer’s data center, the end-user’s browser and the Akamai Platform. Sophisticated analysis compares the performance of applications and sites accelerated by Akamai with those that are not, helping to determine where performance issues may exist and providing the data required to calculate the value derived from Akamai’s global platform. This enables IT and line of business managers to make informed performance management decisions.

Edgeview powered by BMC Software also provides historical performance data so IT professionals can determine when specific problems occurred, the severity of incidents plus regions and users impacted.

The Latest

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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...