Remove AWS Remove Continuous Integration Remove Microservices Remove Storage
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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

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Innovative Technology for an Advanced Security Ecosystem: Challenges and Solutions

Perficient

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.

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Comparison of Most Popular Continuous Integration Tools: Jenkins, TeamCity, Bamboo, Travis CI and more

Altexsoft

Today’s practice of continuous integration (CI) rolls out program updates even faster, within days or hours. In our dedicated article, we explain in detail the benefits of continuous integration , how to approach its adoption, and what challenges to expect along the way. How to choose a continuous integration tool.

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Free Courses at Linux Academy – November 2019

Linux Academy

AWS Essentials. AWS Concepts. Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. AWS Essentials. AWS Essentials is a course for anyone completely new to AWS; no prior experience needed. AWS Concepts. Jenkins Quick Start.

Linux 104
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Free Cloud Courses at Linux Academy — July 2019

Linux Academy

AWS Cloud Formation Deep Dive. The course starts by covering basic CloudFormation concepts and continues to build on this foundation. We will also work through some practical examples like Continuous Integration and Disaster Recovery scenarios. MicroService Applications In Kubernetes. AWS Essentials.

Linux 60
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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

For example, we help companies launch incredible ML workloads on AWS. increasing computing power) is quickly solved by AWS. In fact, you can use hyperscale clusters with +4,000 GPUs, Petabit-scale networking, and insanely low-latency storage. You just need to find a company to help you integrate AWS into your core.

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Scaling my application: am I ready?

CircleCI

For instance, it may need to scale in terms of offered features, or it may need to scale in terms of processing or storage. But at some point it becomes impossible to add more processing power, bigger attached storage, faster networking, or additional memory. Continuous integration pipelines are a key part of this.