John Bradshaw, Field CTO Cloud EMEA at Akamai, unpacks a counterintuitive principle for modern cloud strategy — plan your exit before you plan to start — and argues that core-and-edge architecture combined with strategic clarity on business goals is what keeps organisations cost-aware and free from vendor lock-in.
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John Bradshaw, Field CTO Cloud EMEA at Akamai, explains how cloud concentration risk has become a "clear and present danger" to modern enterprise, and how the shift from FinOps to ValueOps — engineering value through AI-driven insight — reframes cloud economics.
John Bradshaw argues that major cloud outages reveal design failures, not just technology failures, and explains how abstraction across multiple providers creates true resilience rather than dependency on a single cloud's availability guarantees.
John Bradshaw argues the economics of hyperscale AI models don't stack up for most enterprise use cases, and makes the case for domain-specific and small language models running closer to users — trading raw parameter count for cost efficiency, latency, and fit-for-purpose outcomes.
John Bradshaw examines how artificial intelligence is transforming cloud economics, driving a shift toward value-focused strategies and accelerating adoption of multi-cloud architectures as enterprises balance cost, performance, and vendor risk.
John Bradshaw challenges the assumption that cloud is inherently cost-effective, exploring how organisations can build cost-intelligent architectures and adopt the principle of planning an exit before committing to a cloud vendor.
John Bradshaw walks through the phased rollout of Akamai's Generalized Edge Compute (Gecko) — 25 regions imminent, 75 more to follow — and outlines the next waves of managed containers and fleet management designed to let developers run workloads close to users globally.
John Bradshaw argues that edge computing transforms developer experience by letting programmers think of their workload as a fully distributed application — positioning larger components closer to end users and fundamentally changing how distributed systems are architected.
John Bradshaw discusses the operational and architectural challenges of edge computing — from distributed data gravity to workload orchestration — and how Akamai is simplifying the landscape for operators and developers to keep workflows seamless.
John Bradshaw explains how Akamai's industry partnerships bring data and compute closer to end users — using gaming as the canonical low-latency example — and why the company facilitates billions of interactions a day without ever touching the consumer directly.
John Bradshaw unpacks Akamai's Generalized Edge Compute (Gecko) platform — bringing full compute within milliseconds of users worldwide to power complex workloads and edge inference — and previews the 2024 roadmap spanning 100 regions, managed containers, and fleet management.