Tag : container management

Deploying Microservices with Spring Cloud Netflix on Nirmata (Part 2)

This is a republished post from the original work by Deen Aariff. Welcome back to this series of tutorials about how to deploy the Pet-Clinic Application on Nirmata! In Part 1, we managed to get the Pet-Clinic application running on our local machines. After that, we created a repository for each of our Docker Containers…

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How Microservices Drive Increased Customer Engagement

A microservices-style architecture breaks down an application from a single monolithic structure into smaller independent services. Each service handles a particular business function and can be deployed separately from the others. They’re connected via application programming interfaces (API). This structure allows developers to achieve outcomes that would be difficult or impossible with other types of…

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Microservices: Benefits and Challenges

Microservices architecture has become a common approach for enterprises to achieve agility and continuous delivery of applications to meet the growing demand of their users, as well as to gain a competitive advantage. Microservices are small, light, modular software programs, designed to fulfill one or a few purposes. They may be deployed independently, in small…

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Comparing Container Image Registries- DockerHub, Amazon EC2, and JFrog Artifactory

Choosing the right image registry that meets all your production requirements is critical to the success of any application development cycle. Any issues with your registry, and the entire development cycle gets disrupted! There are several open source and commercial options available for a container registry. In this post, I will provide a quick overview…

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PaaS or Container Services: Which One Is Right for You?

For many years, Platform as a Service (PaaS) has been the model of choice for developers in the world of cloud computing. But container services are starting to gain more currency in the world of coding. While the two have coexisted for some time, experts are starting to see a shift toward container services as…

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Whitepaper: Optimizing Continuous Delivery of Software using Containers

In the past, implementing a continuous delivery (CD) workflow was a mark of innovation and efficiency for businesses – The DevOps revolution had been embraced, and digital transformation was at the forefront. But times have changed. Continuous delivery is no longer cutting-edge. It’s a must have for businesses seeking to stay competitive by keeping applications…

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ElasticSearch on EC2 Spot Instances: Improve Service and Reduce Costs!

ElasticSearch is a popular open source search server that is used for real-time distributed search and analysis of data. When using ElasticSearch for production systems, it should be deployed across multiple servers as a cluster, for the performance, resiliency, and scalability. However, if using public cloud to deploy ElasticSearch, multiple servers means significant additional costs….

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Managing Large Microservices-style Applications using Nirmata

In this post I will discuss a powerful new feature in Nirmata, called Application Dependencies. In Nirmata, an Application is composed of one or more services. A traditional application may have a few services, one for each tier, while a microservices-style applications may have dozens of services. Nirmata already has a rich application modeling capability…

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Benefits of using SaaS for managing cloud applications

Businesses need to innovate faster to stay ahead of the competition. Increasingly businesses are adopting cloud computing, containers, and microservices for rapid application delivery. While these latest cloud-native technologies can help them deliver faster, they also introduce new challenges. Cloud-native applications are complex, and have a lot of moving components that require end-to-end automation for…

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Using JFrog Artifactory and Nirmata to streamline continuous delivery of containerized applications

Continuous delivery is a software development approach whereby software is built so that it can be released to production at any time. In other words, with continuous delivery, software should be easily deployable, on demand, to any environment, at any time. Companies seeking software agility are increasingly adopting continuous delivery and building pipelines to seamlessly…

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