DevOps is an operations + developing process. Students who love to be a part of the technology can work on a field that they love the most. In the tech world, every developer needs a jump in their current profile. By increasing their knowledge they can actually improve their job salary.
In This Program, You Will:
Why Become a DevOps Engineer?
Why Choose Ameya?
Our learn-by-doing platform is now taking a step ahead to make the learning experience better- with In-class training. We offer a positive environment to make you learn. Build your skills in an advanced lab with live project experience, learn from industry-experienced trainers and secure your future with a high-paying job available in the market.
Whether you're a fresher looking for a job or a working professional who is seeking the batter opportunity in the industry, Out training programs will give your career a boost to support you growth journey.
The word “DevOps” is a shortened compound of “Development” and “Operations”. As its name suggests, it emphasizes the collaboration between developers and operators/supporters in order to improve the quality of releases and the speed of bringing new software or services to the market.
The SRE (Site Reliability Engineering) Practitioner course introduces ways to economically and reliably scale services in an organization. It explores strategies to improve agility, cross-functional collaboration, and transparency of health of services towards building resiliency.
DevOps is one of the most mentioned terms in today's IT environment. It is normally associated with digital transformation strategies and methodologies such as Continuous Delivery or agile development.
DevOps is a set of engineering practices that helps in automating the processes within software development teams. DevOps can also be defined as the combination of various tools and practices which are combined to increase an organization’s software delivery rate.
Apache Kafka is an open-source distributed event streaming platform that provides tools for building real-time streaming data pipelines and applications.
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