Continuous Integration Internet Microservices 
Openxcell
JUNE 9, 2023
Recently, Microservices have been mainly favored to fixate on these dilemmas. As the title implies, Microservices are about developing software applications by breaking them into smaller parts known as ‘services’. In this blog, let’s explore how to unlock Microservices in Node.js What are Microservices ? microservices?
CircleCI
OCTOBER 20, 2020
Starting with a collection of Docker containers, Kubernetes can control resource allocation and traffic management for cloud applications and microservices. Along with modern continuous integration and continuous deployment (CI/CD) tools, Kubernetes provides the basis for scaling these apps without huge engineering effort.
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Perficient
NOVEMBER 28, 2023
At the center of digital transformation, we face the exciting challenge of creating an ecosystem driven by high-performance, interconnected microservices developed in diverse languages such as Java, C#, JavaScript, and Python. At Perficient we extract the best of each language to shape an agile and efficient ecosystem.
Linux Academy
MAY 28, 2019
Courses Free in May: Network Routing Protocol Fundamentals – Network routing is the process of enabling computers to transfer data over networks, including the internet. To use Docker Compose to deploy Microservices to Docker. Stay tuned to the Linux Academy blog for further details. Build images using a Dockerfile.
d2iq
JANUARY 5, 2023
From testing for security vulnerabilities to building business-driven security services, everyone is accountable for building security into the DevOps continuous integration and continuous delivery (CI/CD) workflow. This was manageable when software updates were released every few months or even years.
CircleCI
SEPTEMBER 22, 2021
We met this challenge with advancements in network computing like remote procedure calls over network protocols: Transmission Control Protocol and Internet Protocol (TCP/IP). Microservice architecture. In a microservice, this means breaking down your application into its constituent services. Distributed systems best practices.
Confluent
FEBRUARY 6, 2019
The production engineer gets the analytic models (either manually or through any automated, continuous integration setup) from the data scientist and embeds them into their Kafka application to deploy it in production. The data scientist can build their model with Python or any other preferred tool.
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