Upcoming DevOps trends

Hello Connections,

How Automation will take over today's manual process.

As you know we are in the beta version of the upcoming era full of Automation and AI where computers are the Next-Gen Artificial Intelligence created by Human Intelligence.

But wait do you know which Tools and Technologies are used to make this happen?

Here are some latest upcoming trends and set of tools that will take you to the era of Automation where Machine uses their Intelligence to make your work done on a single command:

DevOps Infinity tools

NOTE: In the world of automation below references tools and technology are all Cloud-based services or Serverless Micro Service based technology where you are not worried about the hardware and can focus on your product outcome.

1. Azure Machine Learning

• The above-mentioned service from Microsoft Azure Cloud helps you to develop your own Algorithm, deploy predictive models as analytics solutions, test machine learning models, etc. without worrying about knowing or learning any of the Programming languages.

2. Caffe

• Caffe is a deep learning framework characterized by its speed, scalability, and modularity. Caffe works with CPUs and GPUs and is scalable across multiple processors. The Deep Learning Framework is suitable for industrial applications in the fields of machine vision, multimedia and speech.

3. IBM Watson

• Also known as Question Answering Machine, An amazing technology capable of analytical powers and artificial intelligence to replicate human-like abilities to respond to questions optimally and accurately.

4. Gradle

• Gradle is a build automation tool often used for JVM languages such as Java, Groovy or Scala. Gradle can be configured to run Tasks that do things like compile jars, run tests, create documentation and much more.

5. Jenkins

• Jenkins is an open-source automation tool written in Java with plugins built for Continuous Integration purposes. Jenkins is used to building and testing your software projects continuously making it easier for developers to integrate changes to the project, and making it easier for users to obtain a fresh build.

6. Docker

• Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package.

7. Kubernetes

• Kubernetes is a container orchestration system for Docker containers that are more extensive than Docker Swarm and is meant to coordinate clusters of nodes at scale in production in an efficient manner.

8. Swift AI

• Swift AI is a high-performance artificial intelligence and machine learning library written in Swift. Support for artificial neural networks, genetic algorithms, matrix computations, digital signal processing and more!

Thanks & Regards,

Tapan Patni

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