End-to-End Digital Transformation With DevXOps

Your DevOps Partner

DevOps can include DataOps, MLOps, CI/CD, Infrastructure as Code for speed; DevSecOps and QA for quality; and AIOps/Continuous Monitoring for availability.

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Prolifics considers DevOps to be a powerful tool for companies facing today’s business challenges – financial uncertainty, talent gaps, shifting rules and regulations, and data explosion. We know it’s a pivotal, horizontal approach that can automate every part of your digital transformation journey.

Our DevOps practices will get you from point A to point B rapidly and reliably, without sacrificing security and quality. You’ll improve efficiency and security, and become an agile organisation with the ability to rapidly change or create new business models.

Key Elements of DevOps

DataOps

DataOps is a collaborative data management technique with the goal of enhancing data flows between data managers and data consumers throughout an organisation through improved communication, integration, and automation. By establishing predictable delivery and change management of data, data models, and related artifacts, DataOps aims to deliver value more quickly. DataOps makes use of technology to automate the design, implementation, and administration of data delivery with the proper levels of governance. It also makes use of metadata to increase the value and usefulness of data in a dynamic context.

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AIOps

Artificial intelligence (AI) and associated technologies, such as machine learning and natural language processing (NLP), are used for customary IT operations tasks and activities. AIOps supports IT Ops, DevOps, and SRE teams in working smarter and faster so they can identify digital-service issues earlier and address them quickly, preventing disruptions to business operations and customers. This is accomplished through algorithmic analysis of IT data and Observability telemetry.

DevSecOps

Development, security, and operations, also known as DevSecOps, automate the integration of security at each stage of the software development lifecycle, from basic design through integration, testing, deployment, and software delivery.

MLOps

For the development and improvement of machine learning and AI solutions, MLOps is a helpful methodology. By utilising continuous integration and deployment (CI/CD) procedures with appropriate monitoring, validation, and governance of ML models, Prolifics’ data scientists and machine learning engineers work together and accelerate the speed of model creation and production by using an MLOps approach.

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CI/CD

Continuous integration and continuous delivery (CI/CD) are combined under the DevOps umbrella (the merging of development and operations). CI/CD automates most or all of the manual human interaction formerly required to move new code from a commit into production, including infrastructure provisioning, building, testing, and deployment. Developers can update code using a CI/CD pipeline, and the updated code is immediately tested, delivered, and deployed.

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Infrastructure

Many businesses are guilty of considering DevOps to be a goal in and of itself. DevOps is actually a never-ending journey in which you’re constantly looking for methods to streamline and improve procedures. Similarily, DevOps Infrastructure as Code’s (or IaC’s) objective is to employ version control and automation to speed up product development rather than simply achieving those capabilities on their own. Your company will then be able to reap more advantages including better productivity, greater cooperation, improved security, and cost savings.

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DevOps Journey

Prolifics sees DevOps as a continuous loop, delivering ever-increasing value. Our experts seamlessly integrate different phases of the DevOps process into any business model.

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DevOps Workshops

You can choose from one of our free to low-cost workshops below or we’ll customise a workshop just for you. It’s a discovery that moves vision to value - faster.