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14 in-demand cloud roles companies are hiring for

CIO

DevOps engineer DevOps focuses on blending IT operations with the development process to improve IT systems and act as a go-between in maintaining the flow of communication between coding and engineering teams. Role growth: 21% of companies have added DevOps engineer roles as part of their cloud investments.

Cloud 295
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The 10 most in-demand IT jobs in finance

CIO

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices. DevOps engineer. Data engineer.

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The 10 most in-demand IT jobs in finance

CIO

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices. DevOps engineer. Data engineer.

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Cloud-Native Applications: Principles, Benefits, and Best Practices

Altexsoft

The cloud-native approach offers the best features, such as service meshes, immutable infrastructure, declarative APIs , microservices and containers. Microservices. Microservices is considered an architectural strategy capable of managing complex applications simply. Enhanced Business Continuity.

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Evolving Your Architecture Whilst Still Keeping The Lights On

OpenCredo

Consequently, some organisations have chosen to break down their architecture into smaller components using a microservices approach. But many have found that even the simplest microservices implementation can bring a whole host of new problems. Whether you are running monolith or microservices, evolution is still required.

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5 Significant Cloud Computing Trends for 2021

RapidValue

As businesses tried to cope with changing times and navigated through remote workforces while ensuring business continuity and scalability, it is Cloud Computing that served as a backbone by ensuring a smooth transition. Another very significant Cloud-Native capability is Containerization.

Trends 98
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Designing generative AI workloads for resilience

AWS Machine Learning - AI

Understanding and prioritizing resilience is crucial for generative AI workloads to meet organizational availability and business continuity requirements. Use a microservices approach to isolate other components from these less mature frameworks. Generative AI workloads are no different.