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Is your infrastructure quietly sabotaging your delivery speed?
Get a tech partner with 20+ years of hands-on automation experience to smooth workflows, use resources wisely, and keep projects on track. Less time extinguishing fires. More time moving the product forward.
Professional DevOps guidance keeps workflows running smoothly and releases consistent, even in complex environments.
Automated provisioning, version control, and CI/CD pipeline orchestration remove manual steps from build to release, cutting handoffs and accelerating delivery cycles by up to 83%.
Standardized configuration management and automated testing catch defects early and keep environments consistent, removing urgent fixes, rework, and avoidable infrastructure spend.
Continuous delivery automation and regression testing make it easier to ship small changes, quickly adapt to shifting priorities, and respond efficiently to new requirements without delays.
Deployments, environment setup, config changes, and release orchestration are handled via automation and managed workflows. Reclaim up to 44% of engineering time for higher-value work.
Security is embedded into pipelines through automated code checks, secrets management, access controls, and penetration testing, reducing exposure before issues reach production.
Centralized logs, 24/7 monitoring, and custom dashboards track 27+ operational and delivery metrics, giving clear visibility into releases, stability, recovery times, and growth signals.
Get a clear, actionable roadmap for your DevOps journey with hands-on consulting that aligns processes, tools, and teams for faster, more reliable software delivery. Our experts handle:
Trust a dedicated DevOps services company to refine your delivery workflow, stabilize infrastructure, and strengthen security across every stage of the pipeline. Get a clear plan on how to cut costs and accelerate releases.
Oxagile’s specialists put AI to work across your DevOps pipeline, cutting manual work and spotting hidden bottlenecks before they slow your team down. Performance metrics, logs, and deployment patterns reveal exactly where improvements matter most.
AI-driven automation can help you speed up testing, deployments, and environment setup. Fewer errors, shorter cycles, and consistent software across all environments mean smoother, more predictable launches.
Our experts use AI to suggest code, find the right reviewers, and optimize cloud resource usage. The result: faster development, better infrastructure utilization, and higher-quality outcomes, all without guesswork.
As an experienced DevOps as a service company, Oxagile applies trusted tools and frameworks to optimize orchestration, improve delivery, and reduce project costs.
Amazon Web Services • Microsoft Azure • Google Cloud Platform • Pivotal Cloud Foundry • Rackspace • OpenStack
Ansible • Terraform • Puppet • SaltStack • Chef
AWS CloudFormation • Kubernetes • Docker Swarm • Apache Mesos • Atlas
Jenkins • GitLab • Gradle • Bamboo • Apache Maven • Microsoft Visual Studio • Travis CI
Apache JMeter • SonarQube • ReSharper • QASymphony • Cucumber • RSpec • Selenium • Capybara • Coverity • SauceLabs • TestRail
Docker • Amazon EC2 • rkt • LXC • Vagrant
AWS CloudWatch • ELK Stack • New Relic • AppDynamics • Sensu • Papertrail • Logstash
Snort • Vault • Sonatype • Veracode • Threat Stack • Sqreen
Jira • Confluence • FishEye • Crucible • HipChat • Slack • Pivotal • AgileCraft • ServiceNow • VersionOne
Artifactory • Git • Bitbucket • Mercurial • Perforce
DevOps services are focused on end-to-end automation, continuous integration and delivery, and infrastructure optimization. It combines development and operations expertise to accelerate software delivery, reduce costs, and maintain high system reliability.
Any organization delivering software can benefit from DevOps professional services, including those in finance, healthcare, e-commerce, and telecommunications. Development operations optimization is particularly valuable for high-load applications, regulated environments, and projects requiring frequent updates.
The timeline varies depending on project size, complexity, and existing processes. Initial assessments, pipeline setup, automation, and training can often begin yielding results within weeks, with full integration taking several months.
