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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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The article shares goals and strategies for scaling cloud and distributed applications, focusing on lessons learned from cloud migration at Chase.com at JP Morgan Chase. The discussion centers on three primary goals and the strategies addressing the goals, concluding how these approaches were achieved in practice. For those managing large-scale systems, these lessons provide valuable guidance!
By Durai Arasan
At the recent GitHub Universe 2025 developer conference, Arm unveiled the Cloud migration assistant custom agent, a tool designed to help developers automate, optimize, and accelerate the migration of their x86 cloud workflows to Arm infrastructure.
By Sergio De Simone
Andrea Peruffo explains the power of server-side WebAssembly, especially on the JVM. Using Red Hat's Chicory runtime, he details how to achieve secure sandboxing, fault isolation, and cross-architecture portability without foreign function interfaces. Learn through case studies how WebAssembly solves real-world enterprise problems, including achieving 10x - 40x speedups with AOT compilation.
By Andrea Peruffo
System Initiative recently announced a major set of new capabilities designed to give engineering organizations instant, real-time visibility and AI-driven control across any cloud platform or API.
By Craig Risi
Memori is an innovative, open-source memory system that empowers AI agents with structured, long-term memory using standard databases like SQL and MongoDB. It seamlessly integrates into existing frameworks, enabling efficient data extraction and retrieval without vendor lock-in. Ideal for developers, Memori's modular design ensures reliability and scalability for next-gen intelligent systems.
By Robert Krzaczyński
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