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Akamai to Acquire SOASTA

Akamai Technologies has entered into an agreement to acquire SOASTA.

The acquisition is intended to give Akamai customers greater visibility into the business impact of their website and application optimization strategies. The all-cash transaction is expected to close early in the second quarter.

“Akamai has long been associated with delivering exceptional technology solutions for optimizing web and mobile application performance,” explained Ash Kulkarni, SVP and GM, Web Performance and Security, Akamai. “The addition of SOASTA’s technology is intended to give our customers new ways to measure, optimize and validate the business impact of their web performance strategies.”

Through its acquisition of SOASTA, Akamai plans to add several new capabilities to its Web Performance Solutions portfolio. Akamai customers will have improved ability to accurately measure how real users experience their applications, and how that experience impacts their behavior. This will help customers prioritize and implement the most impactful performance optimization strategies to positively affect business outcomes. Through SOASTA solutions, Akamai customers will then be able to test optimizations at scale prior to deployment and validate the business impact of those optimizations once they are live in production. The result is a comprehensive set of cloud-based performance and business outcome optimization solutions.

“As important as web and mobile site and application optimization is to online businesses, the ability to truly understand the result of those optimization strategies is crucial to continued success,” stated Tom Lounibos, CEO, Co-founder of SOASTA. “This acquisition will provide Akamai customers, many of whom are already SOASTA customers, with a new way to measure and test the optimizations they are making to their sites, and validate the actual business impact of their site’s performance.”

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Akamai to Acquire SOASTA

Akamai Technologies has entered into an agreement to acquire SOASTA.

The acquisition is intended to give Akamai customers greater visibility into the business impact of their website and application optimization strategies. The all-cash transaction is expected to close early in the second quarter.

“Akamai has long been associated with delivering exceptional technology solutions for optimizing web and mobile application performance,” explained Ash Kulkarni, SVP and GM, Web Performance and Security, Akamai. “The addition of SOASTA’s technology is intended to give our customers new ways to measure, optimize and validate the business impact of their web performance strategies.”

Through its acquisition of SOASTA, Akamai plans to add several new capabilities to its Web Performance Solutions portfolio. Akamai customers will have improved ability to accurately measure how real users experience their applications, and how that experience impacts their behavior. This will help customers prioritize and implement the most impactful performance optimization strategies to positively affect business outcomes. Through SOASTA solutions, Akamai customers will then be able to test optimizations at scale prior to deployment and validate the business impact of those optimizations once they are live in production. The result is a comprehensive set of cloud-based performance and business outcome optimization solutions.

“As important as web and mobile site and application optimization is to online businesses, the ability to truly understand the result of those optimization strategies is crucial to continued success,” stated Tom Lounibos, CEO, Co-founder of SOASTA. “This acquisition will provide Akamai customers, many of whom are already SOASTA customers, with a new way to measure and test the optimizations they are making to their sites, and validate the actual business impact of their site’s performance.”

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Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

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