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From CI Pipelines to Assembly Lines – The Next Wave in DevOps

RapidValue

Continuous Integration (CI) has evolved significantly over the last few years. Accurate Continuous Deployment with interoperability. Native integrations. Team-based business intelligence and analytics. This approach is extremely developer-focused and requires manual integrations many times in a day.

DevOps 60
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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Build the continuous integration, delivery, and performance testing that a DevOps or DevSecOps approach requires . Use real-time data analytics, business intelligence tools, and machine learning to provide a hyper-relevant, user-friendly experience. Integrate systems to extract the maximum value from your apps. •

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Initially, companies utilized Kubernetes mainly for running containerized microservices.

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Software Development for Financial Services: Technologies, Trends, Challenges, and Best Practices

Existek

Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

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The Good and the Bad of Docker Containers

Altexsoft

delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. The Good and the Bad of the SAP Business Intelligence Platform.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Each pipeline comprises multiple steps, starting with data extraction and ending with delivery of data products to be consumed by businesses or other applications. All data operations run within a continuous integration / continuous delivery (CI/CD) workflow promoted by DevOps.