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10 Essential Steps for Cloud Architecture Setup in 2026
⏱️ 4 minutes read · 749 words The rise of cloud computing continues to transform the digital landscape, and effective cloud architecture setup has become essential for businesses looking to thrive in 2026. As organizations increasingly migrate to the cloud, establishing a robust and scalable architecture is crucial to leverage the full potential of this technology. Whether you’re a small startup…
Building Microservices with Azure: Tips and Best Practices
Adopting microservices with Azure is one of the most significant architectural decisions a development team can make — and one of the most frequently underestimated in terms of operational complexity. The promise is real: independent deployability, technology flexibility per service, isolated scaling, and fault isolation. The reality is that microservices introduce distributed systems complexity…
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Nest Academy of Management Education offers a lot of qualifications for Undergraduate, Postgraduate, Diploma & Post-Diploma in all aspects o
Discover the essential steps for building a technical AI strategy for NZ businesses. From data governance and architecture to performance tuning and compliance.
AWS Graviton4: Production Benchmark and Migration Guide for Enterprise Workloads
For nearly a decade, the enterprise compute landscape was a predictable duopoly. You provisioned EC2 instances, and regardless of whether the underlying silicon was stamped by Intel or AMD, the architecture was x86_64. You compiled your .NET binaries, packaged your generic Java jar files, threw them inside standard Docker containers, and scaled horizontally. Then AWS introduced the Graviton…
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Model Context Protocol (MCP) on AWS: The New Architecture for Enterprise AI Agent Integrations
For the first two years of the enterprise generative AI era, building autonomous agents was primarily an exercise in writing messy, brittle integration glue. If you wanted your Anthropic Claude agent to fetch data from Jira, search an internal Confluence wiki, and read a local SQLite database, you had to write custom API wrappers, handle authentication flows, map OpenAPI schemas to LLM tool…
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