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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. The Shift of Focus From CI Pipelines to DevOps Assembly Lines. The ultimate goal of DevOps is to improve collaboration between all stakeholders from planning through delivery and automation of the delivery process. Native integrations.

DevOps 60
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Software Outsourcing: Why CEOs Love It

Gorilla Logic

For companies tackling business-critical and complex projects that support digital transformation and the current CEO agenda, the ability to rapidly produce minimum viable products (MVPs) is essential. Build the continuous integration, delivery, and performance testing that a DevOps or DevSecOps approach requires .

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

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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. I’ll never have to touch Puppet.

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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.