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Mainframes were the punchline of jokes in the early days of cloud computing, but their steady dependability is still critical to IT architectures.
A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.
Latest release of the enterprise Java platform features simpler data access, more streamlined testing, and other enhancements for cloud-native and enterprise-level Java development.
Enterprises are not as swayed today by fancy new bells and whistles from the Big Three cloud providers. They want commodity features: low prices, reliability, and regulatory compliance.
This article shares benchmark results that demonstrate the performance achieved with ScyllaDB on the New AWS EC2 I4i series. Learn how it provides superior performance over the previous generation of EC2 instances.
New offerings from AWS, Google Cloud, and Microsoft Azure have upended the sovereign cloud services market—and raised questions and concerns.
As rivals double down on integrated AI development tools, AWS is under pressure to evolve Bedrock from a model hub to a true orchestration platform.
We won’t make progress with AI if we don’t know how to predict costs accurately. Enterprises are running in circles.
AI agents are rewriting the future of customer experience. Here's what developers and tech leaders need to know now.
Containers give developers flexibility, speed, and simpler deployment. Virtual machines offer superior workload isolation and security. We can have both.
Truly enterprise-grade multicloud management solutions are rare, but these come close. And their diverse approaches address a wide range of needs.
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