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Akamai Launches Managed Service for API Performance

Akamai Technologies announced Managed Service for API Performance. 

Leveraging the APIContext platform, this service combines proactive testing, expert analysis, and customized optimization to help businesses keep their APIs fast, reliable, and compliant in today's complex digital environments.

The service continuously tests, monitors, and guides API environments to ensure uptime, speed, and adherence to standards — even across multicloud or hybrid deployments.

"APIs are now the heartbeat of business. Keeping them fast, resilient, and standards-aligned is a competitive advantage," said Patrick Sullivan, CTO of Security Strategy at Akamai. "With Akamai Managed Service for API Performance, users gain a partner dedicated to anticipating issues, accelerating response, and optimizing performance across the digital ecosystem."

Key features of Managed Service for API Performance include:

  • 24/7 monitoring and incident response: Around-the-clock synthetic testing and expert incident validation ensure APIs stay operational and efficient. Built for global scale, the service supports IT staff augmentation and delivers critical service assurance.
  • Tailored action plans: Executive-level reporting highlights API health metrics, performance trends, and business impact. Recommendations evolve with changing environments, refining everything from alert sensitivity to workflow design.
  • Expert guidance: Akamai analysts uncover hidden performance patterns — such as slowdowns, schema mismatches, and recurring endpoint failures — and present findings in clear, actionable reports.
  • Comprehensive performance monitoring: Identifies geographic and network-based anomalies while validating APIs against OpenAPI specs and regulatory benchmarks. Synthetic checks run continuously, triggering immediate alerts and expert-led investigations for any interruptions.
  • Cloud and infrastructure visibility: Monitors multicloud environments, DNS and SSL configurations, and the full internet delivery chain to pinpoint bottlenecks from source to user.
  • Performance and compliance baselines: Establishes benchmarks for API health and integrates seamlessly with existing performance monitoring tools, enabling better correlation and insight across observability stacks.
  • Built for regulatory frameworks: APIContext monitors both performance and conformance, ensuring APIs meet the availability, latency, and other requirements set by DORA, NIS2, MAS TRM, SEC SCI, and other financial and critical infrastructure regulations.
  • Audit-ready evidence: Every synthetic call is logged with full traceability, producing a tamper-proof record of uptime, response integrity, and standards adherence — giving compliance officers defensible proof during audits or regulator inquiries.

"With resilience requirements becoming more prominent, uptime is now a business imperative," said Mayur Upadhyaya, CEO of APIContext, the offering launch partner. "APIs sit at the heart of digital services, and their performance directly shapes customer experience and digital experience alike. Working with Akamai, we're enabling enterprises to meet these demands with confidence."

Akamai expands its API security capabilities with this new managed service to provide not just protection — but proactive performance optimization. Organizations can now offload the burden of continuous API tuning to Akamai's experts, ensuring better business outcomes and user experiences.

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Akamai Launches Managed Service for API Performance

Akamai Technologies announced Managed Service for API Performance. 

Leveraging the APIContext platform, this service combines proactive testing, expert analysis, and customized optimization to help businesses keep their APIs fast, reliable, and compliant in today's complex digital environments.

The service continuously tests, monitors, and guides API environments to ensure uptime, speed, and adherence to standards — even across multicloud or hybrid deployments.

"APIs are now the heartbeat of business. Keeping them fast, resilient, and standards-aligned is a competitive advantage," said Patrick Sullivan, CTO of Security Strategy at Akamai. "With Akamai Managed Service for API Performance, users gain a partner dedicated to anticipating issues, accelerating response, and optimizing performance across the digital ecosystem."

Key features of Managed Service for API Performance include:

  • 24/7 monitoring and incident response: Around-the-clock synthetic testing and expert incident validation ensure APIs stay operational and efficient. Built for global scale, the service supports IT staff augmentation and delivers critical service assurance.
  • Tailored action plans: Executive-level reporting highlights API health metrics, performance trends, and business impact. Recommendations evolve with changing environments, refining everything from alert sensitivity to workflow design.
  • Expert guidance: Akamai analysts uncover hidden performance patterns — such as slowdowns, schema mismatches, and recurring endpoint failures — and present findings in clear, actionable reports.
  • Comprehensive performance monitoring: Identifies geographic and network-based anomalies while validating APIs against OpenAPI specs and regulatory benchmarks. Synthetic checks run continuously, triggering immediate alerts and expert-led investigations for any interruptions.
  • Cloud and infrastructure visibility: Monitors multicloud environments, DNS and SSL configurations, and the full internet delivery chain to pinpoint bottlenecks from source to user.
  • Performance and compliance baselines: Establishes benchmarks for API health and integrates seamlessly with existing performance monitoring tools, enabling better correlation and insight across observability stacks.
  • Built for regulatory frameworks: APIContext monitors both performance and conformance, ensuring APIs meet the availability, latency, and other requirements set by DORA, NIS2, MAS TRM, SEC SCI, and other financial and critical infrastructure regulations.
  • Audit-ready evidence: Every synthetic call is logged with full traceability, producing a tamper-proof record of uptime, response integrity, and standards adherence — giving compliance officers defensible proof during audits or regulator inquiries.

"With resilience requirements becoming more prominent, uptime is now a business imperative," said Mayur Upadhyaya, CEO of APIContext, the offering launch partner. "APIs sit at the heart of digital services, and their performance directly shapes customer experience and digital experience alike. Working with Akamai, we're enabling enterprises to meet these demands with confidence."

Akamai expands its API security capabilities with this new managed service to provide not just protection — but proactive performance optimization. Organizations can now offload the burden of continuous API tuning to Akamai's experts, ensuring better business outcomes and user experiences.

The Latest

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% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...