Our DevOps services raise software quality and bring scalability and predictability, while cutting the cost of designing, testing, coding, and deployment. Streamline your IT operations, workflows, and development with one partner.
Slow releases, drifting cloud spend, and constant firefighting quietly cap how fast your team can move.
Slow, risky releases
Manual, infrequent deploys make every release a gamble and every fix a scramble.
Cloud spend that creeps
Without visibility and governance, cloud costs drift upward while no one's sure why.
Teams stuck firefighting
When operations is all incidents and rollbacks, no one has time to improve the system itself.
What we offer
DevOps solutions and services we offer
DevOps runs on four steps: develop and build, test, deploy, operate and monitor. We tailor each to your systems.
Our approach
The DevOps approach
Our approach rests on four pillars: people, process, technology, and governance. Together they deliver high-quality software, released regularly, in a collaborative way.
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Delivering effective development to increase software success.
What you gain
What your business can achieve with Xorora DevOps services
Faster software updates
Move approved changes into production faster. High-performing DevOps teams can reach change lead times of under an hour, depending on system complexity.
Higher deployment frequency
Ship smaller updates more often instead of large, risky release cycles. Mature teams can reach daily or multiple deployments a day.
Faster recovery time
Recover quicker from failed deployments or production issues. Strong practices help teams work toward recovery times under an hour.
Lower change failure rate
Cut deployments that lead to incidents, rollbacks, or urgent fixes. High-performing teams move toward change failure rates of 0 to 15%.
Reduced cloud waste
Trim avoidable cloud spend with better visibility, scaling, tagging, and governance. Industry research estimates 20 to 30% of cloud spend is wasted.
Tech & tools
Tools and technologies
The platforms and tooling we use to automate pipelines, observe systems, and keep delivery reliable.
Datadog
Kubernetes
Ansible
Azure
Chef
Amazon CloudWatch
Grafana
Jenkins
JFrog
Nagios
New Relic
Prometheus
Puppet
Splunk
Terraform
Maven
PM2
Featured work
DevOps case studies
Pipelines and platforms that shipped faster — one study at a time.
Legacy TMS Modernized for Real-Time Freight Visibility
A mid-sized freight carrier ran its core TMS on a codebase that predated the smartphone era. Phased modernization extracted modules behind clean APIs while live shipments kept moving — closing the gap between batch EDI cycles and the real-time visibility shippers now expect.
Cutting Clinical Documentation Time with an AI Agent
A multi-specialty medical group watched physicians spend nearly 28 hours a week on administrative work. An ambient AI documentation agent — built with clinician oversight and EHR integration at the center — reduced administrative burden without compromising note accuracy.
Real Estate · Workflow Automation · Discovery Workshop
Property Management, Unified
A multi-property management firm had grown its portfolio faster than its systems could keep up. A discovery-led custom application connected leasing, accounting, and maintenance — eliminating duplicate data entry across a growing portfolio.
E-commerce · Digital Transformation · Application Modernization
Breaking Free of a Monolithic Storefront
A mid-market retailer ran its entire storefront on a single monolithic platform where every marketing page waited behind the same deployment freeze as checkout. A strangler fig migration moved to headless, composable architecture without a risky big-bang cutover.
Scaling a Tutoring Platform from Pilot to Production
A tutoring platform had proven the concept with a few thousand students — but not a system built for institutional buyers. The validated pilot moved to a production-grade platform with SSO, roster sync, and compliance — without the rewrite most pilots trigger.
A B2B SaaS company had a product that worked — but lost users before they discovered that. A behavior-triggered onboarding system, built around AI-detected activation stalls, replaced a generic time-based email sequence and cut early churn.
Two non-technical founders had eighteen months of runway, a validated problem, and no engineer. Staff augmentation let them validate their product with senior engineering support — without the runway risk of premature full-time hires.
DevOps unites development and operations so you release better software more often. In practice, that means faster updates, fewer failed deployments, and quicker recovery when something breaks. The result is a delivery pipeline your business can rely on.
Ready to bring your idea into reality?
Tell us where your delivery pipeline slows down. We'll come back with a clear first step.