• Hexaware delivers DevOps and DevSecOps consulting services for secure, faster delivery
  • It unifies fragmented toolchains and embeds security into CI/CD pipelines
  • Capabilities span CI/CD automation, platform-as-a-service, and site reliability engineering
  • Hexaware compresses release cycles while enforcing compliance across cloud and hybrid environments

An AI-powered DevOps services partner, Hexaware leverages open-source and commercial-off-the-shelf tools to optimize portfolios with embedded security across platforms—Azure, AWS, and Google Cloud.

How Engineering Teams Accelerate and Secure Delivery with DevSecOps

Engineering teams accelerate and secure delivery by unifying fragmented toolchains, embedding security into CI/CD pipelines, and automating governance across cloud and hybrid environments. Hexaware enables this through DevOps consulting, CI/CD automation, platform-as-a-service, and site reliability engineering, which compress release cycles while enforcing compliance.

A DevOps engineer monitoring enterprise infrastructure and deployment environments in a data center.

DevOps Solutions and Services Focus Areas

Our unique approach harnesses GenAI and agentic AI with open-source and commercial tools to optimize cloud-native and cloud-agnostic environments across migrations and complex applications.

DevOps Transformation

Adopt a DevOps product team structure that fosters cross-functional collaboration, enables faster delivery cycles, and aligns development, operations, and business teams.

Ways of Working Model

Elevate agility with an Agile-inspired delivery framework that aligns strategy to business goals, refines processes, and enables teams to adapt rapidly while ensuring governance.

Delivery Flow Acceleration

Streamline software development through advanced automation, CI/CD integration to reduce downtime, accelerate time-to-market, and deliver faster, more reliable updates.

Strategic Deployment

Fine-tune release management to increase deployment frequency and reliability using Canary releases and blue-green deployments that minimize risk and integrate with legacy systems.

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Client Impact Series

Tensai for Agility: GenAI-Driven DevSecOps Orchestration

Tensai® orchestrates continuous delivery, infrastructure provisioning, and shift-left security through a GenAI-driven low-code platform. With end-to-end value stream insights and compliance observability, it accelerates deployment frequency by 3x and reduces change failure rates by 2x across enterprise environments.

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DevOps Outcomes

Faster Time to Market with Higher Release Frequency

Faster Time to Market with Higher Release Frequency

Organizations achieve higher deployment frequency by eliminating manual gates that slow the release cadence. Automated pipelines reduce lead time from commit to production from weeks to hours, enabling daily releases with consistent quality. Teams gain confidence through repeatable processes that enforce standards without creating bottlenecks. Clients report three times improvement in deployment frequency and a significant reduction in failed deployments across their application portfolios.

Reduced Vulnerabilities Through Shift-left Practices

Reduced Vulnerabilities Through Shift-left Practices

Organizations reduce production vulnerabilities by 80% when security validation executes automatically at every pipeline stage rather than as a final gate. Remediation costs decrease as defects surface during development rather than post-deployment. Audit preparation cycles shorten from weeks to days through the continuous generation of compliance evidence. Teams eliminate security as a delivery bottleneck, achieving faster releases and stronger protection without trading speed for risk posture.

Higher Uptime Through Proactive Reliability Standards

Higher Uptime Through Proactive Reliability Standards

Organizations achieve 99.9% uptime and a sixfold reduction in mean time to recovery through proactive reliability practices. Production incidents decrease as automated detection identifies degradation before user impact occurs. Error budgets provide clear decision frameworks that balance innovation velocity with stability requirements. Teams move from reactive firefighting to controlled, measurable reliability management that sustains platform performance under growth and peak demand conditions.

Lower Operational Costs with Optimized Delivery

Lower Operational Costs with Optimized Delivery

Organizations achieve 40% reduction in TCO through eliminating toil, right-sizing infrastructure, and consolidating toolchains. Resource utilization improves as intelligent scaling replaces manual provisioning decisions. Operational headcount redirects from repetitive maintenance toward innovation initiatives. DORA metric tracking demonstrates continuous quarter-over-quarter improvement, providing leadership with quantifiable evidence of transformation return and ongoing efficiency gains.

DevOps Capabilities

Conduct DevOps maturity assessments, define target-state architectures, and build strategic transformation roadmaps. Identify toolchain gaps, process inefficiencies, and governance risks. Deliver prioritized recommendations that align DevOps investments with business objectives and regulatory requirements.

Operate and optimize DevOps platforms through continuous monitoring, proactive incident management, and toolchain administration. Provide 24/7 platform support, automated patching, and capacity planning. Deliver monthly health reports with actionable recommendations that maintain platform currency and operational readiness.

Configure automated build, test, and deployment pipelines using Azure DevOps, GitHub Actions, and Jenkins. Implement Infrastructure as Code with Terraform and ARM templates. Integrate SecOps tooling, container orchestration, and modern engineering practices, including GitOps, MLOps, and DataOps, across application portfolios.

Conduct SRE readiness assessments and implement governance frameworks tailored to organizational maturity. Deploy observability stacks, define service-level objectives, configure error budgets, and establish incident response runbooks. Provide ongoing SRE coaching that builds internal reliability engineering capabilities.

DevOps Solutions and Accelerators

Tensai® Low-Code DevSecOps Platform

GenAI-driven low-code DevSecOps platform orchestrates continuous delivery, incorporating shift-left security with end-to-end value stream insights. Built on automation frameworks that accelerate software delivery. 

40%

Faster software delivery with Tensai®

Bootstrapped DevSecOps Delivery Model

A bootstrapped delivery framework accelerates DevSecOps implementation, enabling rapid service delivery. Includes preconfigured templates, automation scripts, and best practices to enable efficient production readiness. 

50%

Reduction in change failure rates

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What’s New in DevOps Services

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DevOps Leaders

Vinod Varma

LinkedIn

Leader

Ramya Ramalinga Moorthy

LinkedIn

Expert

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Additional Areas of Focus in DevOps

DevOps amplifies the impact of cross-domain services by injecting pipeline automation, shift-left security, and CI/CD into their workflows, making every engagement faster and safer.

DevSecOps for Testing

Streamline QA workflows with automated build-and-test pipelines that surface defects earlier in the cycle, while integrating shift-left security to detect vulnerabilities.

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DevOps for Digital Workplace

Deploy workplace platforms faster through infrastructure-as-code and automated provisioning—securing endpoints, enforcing zero-trust policies, and enabling rapid iteration.

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DevOps for Automation

Orchestrate enterprise automation workflows with CI/CD practices that enable rapid iteration and embedded guardrails, ensuring RPA and AI processes operate within governance.

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DevSecOps for Security

Embed automated vulnerability scanning and compliance validation into security operations pipelines, accelerating threat response while maintaining continuous audit readiness.

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Frequently Asked Questions

DevOps services accelerate enterprise delivery by replacing manual, sequential workflows with automated CI/CD pipelines that compress build, test, and deployment cycles into repeatable processes. Automated quality gates enforce coding standards, run regression tests, and validate compliance at every stage, catching defects before production. Infrastructure as code eliminates environment drift, while continuous monitoring provides real-time pipeline visibility, enabling faster iteration and measurably higher release quality across application portfolios. 

Enterprises automate delivery pipelines by implementing DevOps services that integrate source control, build automation, testing frameworks, and deployment orchestration into a unified workflow. CI/CD platforms compile code on every commit, trigger automated unit and integration tests, and promote validated artifacts through staging to production environments without manual intervention. DevOps engineers configure pipeline-as-code definitions that standardize processes across teams, enforce approval gates in regulated environments, and enable rollbacks. This automation reduces human error, shortens the lead time from commit to deployment, and enables organizations to scale delivery. 

Organizations build DevOps capability by embedding transformation incrementally within existing team structures rather than mandating wholesale process overhauls. A common approach involves establishing a DevOps Center of Excellence that pilots practices with willing teams, demonstrates measurable outcomes, and scales proven patterns outward. Coaches work alongside delivery teams to introduce automation, improve collaboration rituals, and refine workflows without halting active programs. Maturity assessments identify high-impact improvements that teams can adopt at their own pace, ensuring continuity of delivery while progressively building organizational capability and confidence. 

Enterprises successfully adopt DevOps across both legacy and cloud-native environments by tailoring practices to each application’s architecture and constraints. For legacy systems, DevOps services introduce automated testing, configuration management, and incremental CI/CD integration that modernize delivery without requiring full application rewrites. Cloud-native applications leverage containerized pipelines, GitOps workflows, and infrastructure as code for rapid provisioning. A unified DevOps strategy provides consistent governance, shared toolchain standards, and cross-environment observability, enabling organizations to manage hybrid portfolios with a single operational model. 

DevOps services leverage AI to optimize pipelines through intelligent test selection, predictive failure analysis, and automated resource allocation. Machine learning models analyze historical build data to identify flaky tests, prioritize high-risk code paths, and recommend optimal parallelization strategies that shorten execution times. AI-driven anomaly detection flags pipeline bottlenecks before they cause failures, while generative AI accelerates infrastructure-as-code authoring and configuration troubleshooting. These capabilities reduce manual triage effort, eliminate redundant pipeline stages, and enable engineering teams to achieve faster releases with fewer intervention. 

Enterprises choose Hexaware over specialist consultancies because Hexaware combines deep DevOps engineering expertise with end-to-end enterprise IT capabilities that pure-play firms cannot deliver. Hexaware’s proprietary Tensai® platform provides GenAI-driven DevSecOps orchestration with built-in observability and compliance, accelerating delivery by 40%. Unlike consultancies, Hexaware operates as a managed services partner with proven DORA metric improvements, including 50% reduction in change failure rates. Organizations gain strategic advisory, implementation engineering, platform-as-a-service operations, and SRE from a single accountable partner, eliminating multi-vendor coordination. 

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