How DevOps Drives Competitive Advantage

For enterprises, the cloud gives your DevOps teams quick and easy access to compute resources. For ISVs, the cloud has long enabled DevOps teams to experiment and quickly pivot to reach workable solutions. For most entities, the cloud remains an endless source of agile, innovative tools and services that’s constantly being updated and enhanced. Xoriant engineers have broad experience deploying proven techniques, processes, and tools in DevOps. We can help you navigate the cloud so you can continue to innovate – and drive your competitive advantage.
Key Practice Areas

Architecture and Planning
We conduct a rigorous DevOps assessment, then recommend a strategy for creating a DevOps architecture and implementation plan to enable process integration and faster rollout with higher quality and reduced costs.

DevOps Deployment
Xoriant engineers will help you integrate, construct, and test your DevOps stack. Once implemented, our support services include ongoing management and optimization of your DevOps environment.

Operate and Optimize
CI/CD –The Xoriant Continuous Delivery Accelerator was built to work with tools like Puppet and Bamboo for seamlessly integrated, phased release cycles.
Error Monitoring and Alerts – We will develop custom dashboards, tools, adaptors, and accelerators and/or leverage Xoriant’s deep insights monitoring and visualization template solution.

“Today’s IT departments require implementation and support of Cloud DevOps services and solutions including Cloud Foundry implementation, template-based orchestration, and resource creation, CI/CD automation, and blue/green deployments. Our mission is to stay on the leading edge of Cloud and DevOps emerging technologies and opportunities and when a good fit, to deliver those benefits to our clients.”
Tools That Enable Us to Accelerate Solution Development
Four Grid Title
DevOps Insights
DevOps Insights
AI/ML Across DevOps

Organizations will rely on analytics to drive efficiency and visibility across processes. Analytical tools will draw planning, repository, test, deployment and performance data from across the DevOps lifecycle to provide insights into reducing cycle times and risk and improving project outcomes. AI and ML will play a key role in leveraging that information.
AI/ML will help improve process efficiency and transparency.
Innovating at the Speed of Agile

56% of CIOs expect to implement Agile, DevOps, or a similar flexible IT delivery model to increase IT responsiveness and help spur broader innovation ambitions.
Source: Deloitte
DevOps can spur more, broader innovation initiatives.
The Growing DevOps Market

DevOps Market size exceeded USD 4 billion in 2019 and is poised to grow at over 20% CAGR between 2020 and 2026. The market is expected to undergo a dynamic transition as advancements in automated software development and zero-touch automation technologies are driving the demand for DevOps tools.
Source: Global Market Insights
Popularity of automated software development fuels DevOps market.
Easy Tools for Better Performance

Development teams empowered to make their own decisions about tools contribute to better software delivery performance. High-performing software engineers and IT leaders choose useful and usable tools, which improve productivity and deliver value during the DevOps transformation.
Source: DORA Accelerate
Engineers are 1.5 times more likely to have easy-to-use tools.


Case Study
DevOps Solution Implementation for a Global Leader in Settlements


Blog
Extended Role of QA in Test-Driven Development