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How to avoid converting “Distributed monolith” microservices into “Serverless monoliths”

The Agile Monkey

From Microservices to Serverless: How to avoid converting “Distributed monolith” microservices into “Serverless monoliths” Learning from the past: converting a monolith into… a worse monolith When microservices became mainstream, a lot of companies started to migrate their monolithic systems to a distributed microservice architecture.

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Microservices Done Right, Part 2: More Antipatterns to Avoid

Accenture

Microservices architecture has become popular over the last several years. Many organizations have seen significant improvements in critical metrics such as time to market, quality, and productivity as a result of implementing microservices. Recently, however, there has been a noticeable backlash against microservices.

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Choice Hotels’ all-in cloud journey to sustainable business value

CIO

based IT team can focus on building business value using a plethora of AWS services, including Amazon Aurora, Amazon SageMaker, Amazon Elastic Kubernetes, as well as other SaaS tools such as Automation Anywhere and IDeaS for the cloud-based revenue management system Choice built called Choice Max, also on AWS.

Hotels 361
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MoneyGram profits from mainframe move to multicloud

CIO

Our cloud journey continues to mature,” says Vaughan, who decided to modernize 75% of MoneyGram’s microservices in Kubernetes but not all applications out of the gate. To that end, MoneyGram partnered with Rafay Systems in January 2022, leveraging its Kubernetes Operations Platform to accelerate its application migration to the cloud.

Retail 246
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4 remedies to avoid cloud app migration headaches

CIO

that make migration to another platform difficult due to the complexity of recreating all of that on a new platform. Sid Nag, VP, cloud services and technology, Gartner Gartner He recommends retaining the services of an MSP or systems integrator to do the planning and ensure you’re choosing the right applications to move to the cloud.

Cloud 311
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9 trends to watch in systems engineering and operations

O'Reilly Media - Ideas

From artificial intelligence to serverless to Kubernetes, here’s what on our radar. If your job or business relies on systems engineering and operations, be sure to keep an eye on the following trends in the months ahead. Artificial intelligence for IT operations (AIOps) will allow for improved software delivery pipelines in 2019.

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The Future of Software Development: Trends to Watch

Invid Group

Artificial intelligence and machine learning Software development is already evolving due to artificial intelligence (AI) and machine learning (ML), and this trend is expected to continue. In particular, ML enables software systems to improve over time as they gain expertise in carrying out specific tasks.