Remove Microservices Remove Scalability Remove Virtualization
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9 IT skills where expertise pays the most

CIO

Cloud skills include programming languages, database management, DevOps, security, containerization and microservices, data visualization, AI and ML, and automation. It also allows for fast deployment of virtual machines and simplifies maintenance since theres less hardware to oversee, which ultimately can reduce IT costs.

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Should I use microservices?

O'Reilly Media - Ideas

Considerations for when—and when not—to apply microservices in your organization. Despite the drive in some quarters to make microservice architectures the default approach for software, I feel that due to their numerous challenges, adopting them still requires careful thought. Where microservices don’t work well.

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Microservices Adoption in 2020

O'Reilly Media - Ideas

Microservices seem to be everywhere. Scratch that: talk about microservices seems to be everywhere. So we wanted to determine to what extent, and how, O’Reilly subscribers are empirically using microservices. Here’s a summary of our key findings: Most adopters are successful with microservices. And that’s the problem.

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Quarkus 3: The Future of Java Microservices With Virtual Threads and Beyond

Dzone - DevOps

Over the past four years, developers have harnessed the power of Quarkus , experiencing its transformative capabilities in evolving Java microservices from local development to cloud deployments. In this enlightening journey, let’s delve into the heart of Quarkus 3's integration with virtual threads ( Project Loom ).

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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

For MCP implementation, you need a scalable infrastructure to host these servers and an infrastructure to host the large language model (LLM), which will perform actions with the tools implemented by the MCP server. We will deep dive into the MCP architecture later in this post. The following diagram illustrates this workflow.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Each component in the previous diagram can be implemented as a microservice and is multi-tenant in nature, meaning it stores details related to each tenant, uniquely represented by a tenant_id. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices.

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Container Types and Use Cases

Dzone - DevOps

System Containers — one of the oldest container types, which is quite similar to virtual machines. It is a stateless microservice-centric solution that is easily scalable horizontally. There are two types of containers that are oriented to solve different problems.