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SOASTA Introduces mPulse for Akamai

SOASTA launched mPulse for Akamai, extending user analytics capabilities from its Digital Performance Management (DPM) solutions to the customers of its new Content Delivery Network (CDN) infrastructure partner.

With SOASTA’s launch of mPulse pre-built for CDN, organizations can gain important insights into the performance of their digital properties, such as how fast a site really is, how fast it should be in order to maximize revenue and what specific steps should be taken to get there.

mPulse for Akamai provides the capabilities, including real-time analytics, session analysis, page grouping, third-party analytics and data science, to effectively answer these questions.

“Online brands are fully aware of the need to provide the best user experience to their customers, and now more than ever are turning to CDNs such as Akamai to optimize performance,” said Tom Lounibos, CEO of SOASTA. “At the same time, it has proven challenging to fully understand the business impact of performance optimization activities. SOASTA is bridging this gap by extending our award winning performance analytics capabilities to Akamai CDN customers.”

mPulse for Akamai Key Benefits:

- Real-time real user monitoring enables Akamai customers to know immediately how changes made to their CDN configuration are impacting their performance and users.

- Akamai customers can know what devices and browsers are used to access their site and where users access it from so they can prioritize optimization efforts to the most important user profiles.

- mPulse for Akamai measures user sessions, not only page views, which provides the contextual intelligence on steps users take while interacting with a website or mobile apps. This is critical to analyzing and improving CX, conversion and revenue impact of performance.

- Page groups vs. URL-only analysis provides insights into which pages are most impactful to the bottom line so organizations can start optimization efforts where it most matters to their ROI.

- Predictive analytics forecast the impact of performance improvements, informing organizations of how much money they’re leaving on the table by failing to optimize their site and CDN investment.

SOASTA is partnering with Akamai to make mPulse for Akamai available to their customers immediately. Initial capabilities will provide a real-time, graphical, at-a-glance global view, a key metrics overview and a DevOps-centric view of a customer’s digital property performance. The solution offers easy implementation, fast onboarding and immediate access to valuable digital performance insights. Additional dashboards and data science capabilities including What-If, Waterfall and Conversion Impact Score, among others, will be rolled out at a later time.

“Like SOASTA, Akamai is committed to helping businesses address digital performance challenges and optimize experiences across any device, anywhere,” said Ash Kulkarni, SVP and GM, Web Experience Business Unit, Akamai. “At the same time, our customers want to be confident that their performance optimization strategies are having a positive impact on the business. Working together with partners such as SOASTA, we can help provide that peace of mind.”

mPulse for Akamai is now available to all Akamai customers as a free trial through the end of the year.

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SOASTA Introduces mPulse for Akamai

SOASTA launched mPulse for Akamai, extending user analytics capabilities from its Digital Performance Management (DPM) solutions to the customers of its new Content Delivery Network (CDN) infrastructure partner.

With SOASTA’s launch of mPulse pre-built for CDN, organizations can gain important insights into the performance of their digital properties, such as how fast a site really is, how fast it should be in order to maximize revenue and what specific steps should be taken to get there.

mPulse for Akamai provides the capabilities, including real-time analytics, session analysis, page grouping, third-party analytics and data science, to effectively answer these questions.

“Online brands are fully aware of the need to provide the best user experience to their customers, and now more than ever are turning to CDNs such as Akamai to optimize performance,” said Tom Lounibos, CEO of SOASTA. “At the same time, it has proven challenging to fully understand the business impact of performance optimization activities. SOASTA is bridging this gap by extending our award winning performance analytics capabilities to Akamai CDN customers.”

mPulse for Akamai Key Benefits:

- Real-time real user monitoring enables Akamai customers to know immediately how changes made to their CDN configuration are impacting their performance and users.

- Akamai customers can know what devices and browsers are used to access their site and where users access it from so they can prioritize optimization efforts to the most important user profiles.

- mPulse for Akamai measures user sessions, not only page views, which provides the contextual intelligence on steps users take while interacting with a website or mobile apps. This is critical to analyzing and improving CX, conversion and revenue impact of performance.

- Page groups vs. URL-only analysis provides insights into which pages are most impactful to the bottom line so organizations can start optimization efforts where it most matters to their ROI.

- Predictive analytics forecast the impact of performance improvements, informing organizations of how much money they’re leaving on the table by failing to optimize their site and CDN investment.

SOASTA is partnering with Akamai to make mPulse for Akamai available to their customers immediately. Initial capabilities will provide a real-time, graphical, at-a-glance global view, a key metrics overview and a DevOps-centric view of a customer’s digital property performance. The solution offers easy implementation, fast onboarding and immediate access to valuable digital performance insights. Additional dashboards and data science capabilities including What-If, Waterfall and Conversion Impact Score, among others, will be rolled out at a later time.

“Like SOASTA, Akamai is committed to helping businesses address digital performance challenges and optimize experiences across any device, anywhere,” said Ash Kulkarni, SVP and GM, Web Experience Business Unit, Akamai. “At the same time, our customers want to be confident that their performance optimization strategies are having a positive impact on the business. Working together with partners such as SOASTA, we can help provide that peace of mind.”

mPulse for Akamai is now available to all Akamai customers as a free trial through the end of the year.

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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 ...

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.