Cloud Computing

Enterprises with existing VMware Cloud Foundation (VCF) investments want to migrate their Oracle databases to AWS without rearchitecting applications or retraining operations teams. Oracle on Amazon Elastic VMware Service (Amazon EVS) can take advantage of sub-millisecond storage latency, snapshot-based backup, cross-region disaster recovery (DR), and independent storage scaling, all while preserving existing VMware operational workflows.

When you build multi-Region architectures on AWS, one question comes up early: “What services are available in each AWS Region?” The answer shapes architecture decisions, from which AWS Regions to expand into, to how you design for resilience. For teams navigating data residency requirements and compliance reporting, getting the answer wrong has real consequences: deployment

Whether you’re launching microservices in response to sudden traffic spikes, deploying new software releases, or scaling up application replicas, pod startup time is critical to maintaining a fast, responsive user experience for applications running on Google Kubernetes Engine (GKE). Yet, platform engineers and developers face a persistent dilemma: Applications often demand significantly more CPU power

AI agents don’t just answer queries — they can autonomously issue refunds, manage inventory, execute multi-step handoffs, and orchestrate sub-agents, to name but a few complex agentic workflows. That frequently requires the agents to maintain internal state in an operational database while dispatching asynchronous actions through a separate messaging or event queue system. And unfortunately

Enterprise AI agents need persistent memory to execute complex, multi-day workflows and long-horizon tasks. In this blog, we examine how a 2-tier memory architecture using Memorystore for Valkey for short-term buffer memory and AlloyDB AI for long-term persistent memory can help reduce token spend by up to 70%, while maintaining critical data and enterprise guardrails.

In a data-driven world, PayPal’s ability to deliver timely and actionable insights is central to staying ahead. At PayPal, data powers everything from fraud detection to user experience enhancements. Data is also central to unleashing the potential of agentic solutions and experiences.  Over time, though, our analytics environment had become a complex ecosystem of various

At Google Cloud, we know that you count on us to maintain the durability and integrity of your data at all times, both at rest and in transit. And now we’re making it easier for developers to take advantage of native data integrity features in Cloud Storage, by enabling end-to-end checksumming by default in all

Datalex, a leader in airline ecommerce solutions, set out to answer a question facing every established product-based business: how do you build for where your industry is going, not only where it is today? For more than two decades, Datalex has powered digital retailing for many of the world’s leading airlines, capability built up over