Strengthening your cloud
from the inside out

DevOps Practices for Faster and Reliable Software Delivery

Cloud DevOps services combine cultural philosophies, practices, and tools to increase an organization’s ability to deliver applications and services at high velocity — integrating software development with infrastructure management processes to ship faster and more reliably than traditional IT approaches allow.

The 5 main benefits of cloud DevOps services are speed, reliability, security, scalability, and cost efficiency. Organizations use cloud DevOps to automate manual tasks, manage complex environments, reduce software release cycle times, and maintain continuous integration and continuous delivery (CI/CD) pipelines across cloud infrastructure.

Cloud DevOps services span 6 core areas: CI/CD pipelines, Infrastructure as Code (IaC), monitoring and logging, container and microservices management, version control, and Platform as a Service (PaaS). Platforms including AWS (Amazon Web Services), Oracle Cloud Infrastructure (OCI), and Google Cloud each provide integrated DevOps toolchains covering all 6 areas.

Overview

DevOps and AWS

DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity. AWS provides flexible cloud DevOps services that simplify provisioning and managing infrastructure, deploying application code, automating software release processes, and monitoring application and infrastructure performance. The Amazon Builders’ Library provides additional engineering resources from Amazon’s own DevOps teams.

Why AWS for DevOps?

Get Started Fast

Each AWS service is ready to use with an AWS account — no setup required and no software to install. DevOps practitioners access AWS resources through the AWS Management Console, the AWS Command Line Interface (CLI), or application programming interfaces (APIs) and software development kits (SDKs).

Built for Scale

AWS DevOps services manage a single instance or scale to thousands using the same tooling, simplifying provisioning, configuration, and scaling for teams at any size.

Programmable

AWS resources are fully programmable through the AWS CLI, APIs, and SDKs. DevOps practitioners model and provision entire AWS infrastructure environments using declarative AWS CloudFormation templates, enabling repeatable Infrastructure as Code workflows.

Automation

AWS helps DevOps teams automate deployments, development and test workflows, container management, and configuration management — reducing human error and freeing engineering time for product development.

Secure

AWS Identity and Access Management (IAM) sets user permissions and policies with granular control over who accesses AWS resources and how, with consistent security policy enforcement across all CI/CD pipelines.

Large Partner Ecosystem

AWS supports a large ecosystem of DevOps Partner Solutions that integrate with and extend AWS services. DevOps practitioners combine third-party and open source tools with AWS to build end-to-end cloud DevOps pipelines.

Pay-As-You-Go

AWS pricing has no upfront fees, termination penalties, or long-term contracts. The AWS Free Tier helps organizations get started before committing to production workloads.

OCI DevOps spans the development journey

Oracle Cloud Infrastructure (OCI) DevOps is a CI/CD service for development teams building on OCI, covering the full development lifecycle from code to deployment.

Code with DevOps

Create private code repositories in OCI or connect to external repositories including GitHub, GitLab, Bitbucket Cloud, and GitLab Server.

Collaborate with DevOps

Use pull requests to trigger build runs that deploy code changes, with merge checks enforcing code quality controls before changes reach production.

Build with DevOps

Create and manage build pipelines that compile, test, and run software applications before deployment, with concurrent builds that scale without requiring DevOps teams to manage build servers.

Deploy with DevOps

Start deployment pipelines using blue-green, canary, or rolling strategies, with automated rollback capabilities for failed deployments.

Why OCI DevOps?

Integrated

OCI DevOps is an OCI native service — identity, security, and logging are consistent across Oracle Cloud’s infrastructure, with preconfigured secure deployments to OCI Compute services.

Flexible

OCI DevOps works with existing tools including GitHub, GitLab, and Jenkins, giving DevOps teams the option to use native or external repositories.

Low maintenance

OCI DevOps provides concurrent builds that scale automatically — no servers to operate or maintain as workloads grow.

DevOps Tooling

AWS provides DevOps tools that automate manual tasks, help teams manage complex environments, and keep engineers in control at high deployment velocity. These tools cover 5 operational areas: software release workflows, code building and testing, deployment automation, infrastructure provisioning, and configuration management.

Continuous Integration and Continuous Delivery

The AWS Developer Tools securely store and version application source code and automatically build, test, and deploy applications to AWS or on-premises environments. AWS CodePipeline anchors CI/CD workflows by coordinating AWS CodeBuild, AWS CodeDeploy, and additional tools in an end-to-end software release process.

Software Release Workflows

AWS CodePipeline is a CI/CD service for fast, reliable application and infrastructure updates. CodePipeline builds, tests, and deploys code every time a code change occurs based on release process models DevOps practitioners define, enabling rapid delivery of features and updates without manual intervention.

Build and Test Code

AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages ready for deployment. CodeBuild scales continuously and processes multiple builds concurrently, eliminating build queue bottlenecks for high-velocity DevOps teams.

Deployment Automation

AWS CodeDeploy automates code deployments to any instance, including Amazon Elastic Compute Cloud (Amazon EC2) instances and on-premises servers. AWS CodeDeploy enables rapid feature releases, avoids downtime during application deployment, and handles the complexity of updating applications across fleets of instances.

Instacart

Instacart uses AWS CodeDeploy to automate deployments for all front-end and back-end services. By automating deployment operations with AWS CodeDeploy, Instacart’s developers focus entirely on product development rather than managing the deployment process manually.

lululemon athletica

lululemon athletica built a fully automated CI/CD system on AWS. lululemon deploys build artifacts distributed via Amazon Simple Storage Service (Amazon S3) through AWS CodePipeline, with final deployment to AWS Elastic Beanstalk — giving the team a reliable, automated path from code commit to production.

Production Docker Platform

Amazon Elastic Container Service (ECS) is a highly scalable container management service supporting Docker containers. Amazon ECS runs applications on a managed cluster of Amazon EC2 instances without requiring DevOps practitioners to manage container orchestration infrastructure.

Serverless Computing

AWS Lambda runs code without provisioning or managing servers. DevOps practitioners upload code and Lambda handles execution, scaling, and high availability — with zero administration required for any type of application or backend service.

Localytics

Localytics uses AWS Lambda to create microservices that ingest Amazon S3 files and Kinesis data streams comprising approximately 100 billion data points each month, processing large-scale analytics workloads without managing server infrastructure.

Infrastructure as Code

Infrastructure as Code (IaC) provisions, configures, and manages AWS infrastructure resources using code and templates. IaC treats infrastructure as version-controlled configuration rather than manually managed state, enabling repeatable deployments and automated compliance monitoring.

Templated Infrastructure Provisioning

AWS CloudFormation gives developers and systems administrators a way to create and manage collections of related AWS resources, provisioning and updating them in an orderly, predictable fashion using sample templates or custom-built templates that define entire application stacks as code.

Configuration Management

AWS Systems Manager automatically collects software inventory, applies OS patches, creates system images, and configures Windows and Linux operating systems across Amazon EC2 and on-premises environments — preventing configuration drift and maintaining software compliance.

Policy as Code

AWS Config is a fully managed service providing AWS resource inventory, configuration history, and configuration change notifications for security and governance. AWS Config Rules creates rules that automatically check resource configurations, enabling continuous compliance monitoring and automated policy enforcement.

Monitoring and Logging

Monitoring and logging records logs and monitors application and infrastructure performance in near real-time. Cloud DevOps services require 4 monitoring capabilities: cloud and network monitoring, distributed tracing, API usage tracking, and AI-powered application availability monitoring.

Distributed Tracing

AWS X-Ray helps DevOps practitioners analyze and debug production distributed applications, including microservices-based architectures. AWS X-Ray identifies root causes of performance issues and errors in cloud-native applications.

Activity & API Usage Tracking

AWS CloudTrail records AWS API calls and delivers log files documenting the identity of the API caller, time of the call, source IP address, request parameters, and response elements — providing complete auditability for all infrastructure management processes.

Platform as a Service

Platform as a Service (PaaS) deploys web applications without requiring DevOps practitioners to provision and manage underlying infrastructure, enabling development teams to deploy by uploading code rather than configuring servers.

Run and Manage Web Apps

AWS Elastic Beanstalk deploys and scales web applications built with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker. DevOps practitioners upload code and Elastic Beanstalk handles capacity provisioning, load balancing, auto-scaling, and health monitoring — while retaining full access to underlying AWS resources.

Version Control

Version control hosts secure, scalable Git repositories in the cloud, enabling DevOps teams to manage source code, track changes, and coordinate development across distributed teams.

Private Git Hosting
AWS CodeCommit is a fully managed source control service hosting secure, highly scalable private Git repositories. DevOps practitioners store source code and binaries with seamless integration with existing Git tools and all AWS DevOps services.

Cloud & DevOps

Cloud DevOps services combine cloud adoption with DevOps engineering practices to deliver 2 capabilities: the ability to respond quickly to market challenges using flexible cloud infrastructure, and the ability to ship software faster through collaboration between developers and IT operations. SoftServe specializes in both and partners with AWS, Microsoft Azure, and Google Cloud to deliver cloud DevOps engagements across healthcare, finance, and retail.

Reinventing Your Business With the Cloud

Cloud technologies change how businesses operate — helping organizations adapt faster, lower risks, save money, and improve service quality and security. SoftServe delivered a cloud DevOps engagement for a U.S. fleet management company that reduced costs by 35%, improved security and resilience, and reduced workloads by 30% using AWS Managed Services.

Drive Innovation and Competitiveness With the Cloud

Cloud DevOps is a growth catalyst, not only a cost reduction tool. Organizations combining cloud infrastructure with DevOps practices accelerate product delivery, reduce time-to-market, and build the technical foundation required for Generative AI (GenAI), Data Engineering and Integration pipelines, and Data Science and Predictive Analytics workloads.

Core Offerings

Cloud DevOps core offerings cover 6 service areas: cloud migration, application modernization, cloud landing zone setup, cloud cost optimization, managed services for ongoing operations, and rapid infrastructure assessment.

Partner Ecosystem

Cloud DevOps partner ecosystems provide access to third-party tools, open source integrations, and platform-specific expertise. SoftServe holds 20 cloud competencies across multiple platforms and employs 1,950+ cloud-certified professionals supporting AWS, Google Cloud, and Microsoft Azure DevOps engagements.

Case Studies

SoftServe Delivers Seamless Google Cloud Migration for Hallo Healthcare

SoftServe migrated Hallo Healthcare to Google Cloud, delivering a seamless transition that improved application performance and security while maintaining service continuity throughout the migration.

Blis Optimizes Cost Effectiveness and Cloud Experience Through GCP Migration

Blis migrated to Google Cloud Platform (GCP) with SoftServe’s support, improving cost effectiveness and cloud experience for Blis’s data-intensive advertising analytics workloads.

A Roadmap to Rapid Cross-cloud Application Modernization

SoftServe developed a cross-cloud application modernization roadmap enabling rapid migration and refactoring of legacy applications to cloud-native architectures across multiple providers.

Cloud and IT Modernization Keeps Worldremit in Front

WorldRemit partnered with SoftServe on cloud and IT modernization, updating infrastructure to support faster product delivery and improved reliability in the digital payments market.

Related Resources

Cloud DevOps practitioners reference 3 resource types: technical guides on AWS Validated Partner Services, outcome-focused cloud adoption frameworks, and migration playbooks for VMware cost escalation and Kubernetes platform migrations.

02Cloud & DevOps

Cloud technology keeps organizations competitive while DevOps accelerates product delivery. SoftServe’s Cloud & DevOps practice covers AWS, Google Cloud, and Microsoft Azure with service lines including Optimized Hybrid Cloud, Cloud Migration Enablement, DevOps, Financial Operations (FinOps), and Managed Services.

03Cloud Migration and Modernization through 20Quantum Computing

SoftServe’s full services portfolio spans 20 practice areas: Cloud Migration and Modernization, Big Data & Analytics, AI/ML, Generative AI, Internet of Things (IoT), Experience Design, Experience Platforms, Extended Reality (XR) and Spatial Computing, Robotics & Advanced Automation, Physical AI, Digital Strategy and Innovation, Operational Efficiency, Organizational Change Management, Accessibility, and Quantum Computing — all supported by the cloud DevOps foundation that modern enterprise operations require.

Let’s Talk

Cloud DevOps connects directly to AI adoption outcomes. 4 findings from DevOps Research and Assessment (DORA)’s 2025 research define what DevOps teams need to know about AI and engineering performance:

Strong teams use AI to become even better and more efficient

High-performing DevOps teams that adopt AI Agents and Intelligent Automation improve output quality and deployment frequency. AI amplifies existing team capabilities rather than substituting for engineering judgment or process maturity.

AI is an amplifier, not a fix

90% of technology professionals use AI at work and over 80% report productivity gains. But 30% report little to no trust in AI-generated code — meaning AI effectiveness depends on the DevOps culture and processes surrounding it, not AI adoption alone.

Platform engineering is the new foundation for AI

A high-quality internal platform is the key enabler for scaling AI value. Platform engineering provides the guardrails and shared capabilities that AI PoC and MVP Development and Machine Learning Solutions require to produce reliable, governed outputs at enterprise scale.

Be harmonious over-achievers

The intersection of performance, well-being, and friction helps leaders diagnose why a team is succeeding or struggling. DevOps culture addresses all 3 dimensions — not just deployment frequency, but the human factors that determine whether DevOps practices take hold organizationally.

Improve your technical and cultural capabilities to drive improved performance

To drive improved performance, improve technical and cultural capabilities together. Google Cloud’s DORA team has collected insights from 40,000+ professionals, validating the technical, process, and cultural capabilities that drive higher software delivery and organizational performance.

Read DORA’s AI-assisted software development report

DORA’s 2025 report covers AI’s impact on technology-driven teams and how teams maximize AI value in software delivery.

Take the DORA Quick Check

Measure software delivery performance and compare it to the rest of the industry using DORA’s Quick Check. The Quick Check evaluates 4 key metrics: deployment frequency, lead time for changes, change failure rate, and time to restore service.

See how DORA can help your company

DORA provides 3 paths to improve DevOps practices: the Quick Check for measuring current performance, the research program for identifying improvement opportunities, and published case studies documenting real-world DevOps performance improvements.

See how customers are improving their DevOps practices with DORA

Organizations across industries use DORA research to improve software delivery performance, adopt platform engineering, and measure the impact of AI on development team productivity and code quality.

DevOps products and integrations

Google Cloud DevOps products include 3 AI-powered tools: Gemini Code Assist for AI-powered code assistance with private codebase customization; Gemini Cloud Assist for analyzing cloud environments, deployed resources, and metrics and logs; and Gemini CLI, an open source AI agent providing access to Gemini directly in the terminal.

See the latest from DevOps

DORA’s four key software delivery metrics — deployment frequency, lead time for changes, change failure rate, and time to restore service — provide the measurement framework for cloud DevOps performance. Additional Google Cloud research covers generative AI adoption for software delivery teams and value stream mapping for DevOps improvement.

Take the next step

Work with a trusted partner

Find a Google Cloud partner with cloud DevOps expertise for enterprise implementation and optimization.

Start using Google Cloud

Try Google Cloud free to explore DevOps services, Gemini tools, and CI/CD integrations.

Deploy ready-to-go solutions

Explore the Google Cloud Marketplace for pre-configured DevOps solutions and partner integrations.

Why Google

Google Cloud DevOps services combine DORA research-backed practices with Google’s global infrastructure, Gemini AI tools, and a certified partner network providing specialized cloud DevOps consulting.

Products and pricing

Google Cloud DevOps products — including Cloud Build, Artifact Registry, Cloud Deploy, and Google Kubernetes Engine (GKE) — are priced on a pay-as-you-go model with free tier access for evaluation.

Solutions

Google Cloud DevOps solutions address application development, CI/CD automation, container orchestration, security and compliance, and AI-assisted software delivery for enterprise environments.

Resources

DORA research reports, Google Cloud documentation, Quick Check assessments, and partner case studies support DevOps practitioners evaluating, implementing, and optimizing cloud DevOps practices.

Engage

Contact Google Cloud to discuss cloud DevOps requirements, find a certified partner, or access the DORA Quick Check for a baseline assessment of current software delivery performance.

OCI DevOps resources

OCI DevOps resources cover code repository management, CI/CD configuration, deployment automation, and reference architectures for common cloud DevOps patterns.

Enabling Developer Collaboration with Pull Requests in OCI DevOps Code Repositories

OCI DevOps Code Repository added pull request features in November 2024, including repository forks and repository insights. Mandatory approval workflows enforce code quality controls for enterprise teams managing application code and Infrastructure as Code (IaC) repositories.

Featured blogs

OCI DevOps blogs cover Helm version support (April 2025), 100 parallel concurrent deployments (January 2025), and Resource Manager integration for automated infrastructure deployments (October 2024).

Get started with OCI DevOps

OCI DevOps provides 4 starting points: release notes, reference architectures, sales contact for enterprise guidance, and a free trial through Oracle Cloud Free Tier.

OCI DevOps release notes

OCI DevOps release notes document service updates including Helm support, parallel deployment improvements, and Resource Manager integration.

What’s new — the OCI highlights

Oracle summarizes all OCI service updates in one place, showing how OCI DevOps and related services improve continuously.

Reference architectures

Reference architectures provide deployable implementations for Kubernetes, compute instances, and hybrid cloud environments inside trial, pay-as-you-go, or universal credit OCI tenancies.

They can answer questions such as:

OCI experts answer 4 categories of questions: how OCI supports application development goals, which workloads run best on OCI, how to maximize Oracle investments, and how OCI compares to other cloud DevOps providers.

What’s included with Oracle Cloud Free Tier?

Oracle Cloud Free Tier includes 2 Autonomous AI Database instances at 20 GB each, AMD and Arm Compute virtual machines (VMs), 200 GB total block storage, 10 GB object storage, 10 TB outbound data transfer per month, 10+ Always Free services, and US$300 in free credits for 30 days.

Chef Configuration Management

AWS OpsWorks is a configuration management service using Chef, an automation platform that treats server configurations as code. AWS OpsWorks automates server configuration, deployment, and management across Amazon EC2 instances and on-premises environments through 2 offerings: AWS OpsWorks for Chef Automate and AWS OpsWorks Stacks.

Simple

Simple built its online banking platform on AWS and uses AWS CloudFormation to automate processes that previously took months to complete. AWS CloudFormation automation lets Simple focus on customer service rather than managing IT infrastructure manually.

Toronto Star

The Toronto Star, Canada’s largest online news site, uses AWS OpsWorks to reduce deployment time for its content management application from 3 hours to 20 minutes — directly reducing costs and increasing team productivity.

Prezi

Prezi uses AWS Config to track configuration changes across Prezi’s AWS resources. AWS Config sends notifications whenever resources are created, modified, or deleted, and Prezi uses AWS Config rules to govern provisioning and configuration of all AWS resources.

Learn more

Provision infrastructure from AWS CloudFormation templates, use AWS Systems Manager to track software inventory and configure instances, and auto-remediate configuration drift with AWS Config to maintain compliant, consistent infrastructure at scale.

The Globe and Mail

The Globe and Mail, Canada’s most read newspaper with a national weekly digital readership of 4.7 million, uses Amazon CloudWatch to monitor its system performance. The Globe and Mail adopted a DevOps approach for infrastructure automation alongside CloudWatch monitoring.

Slack

Slack’s communications platform runs on AWS and uses AWS CloudTrail for monitoring logs related to Amazon EC2 instances. CloudTrail provides Slack’s security team with the audit records required for monitoring and incident investigation at platform scale.

Zillow

Zillow migrated its image-processing and delivery system to AWS to solve performance issues and gain scalability. Zillow uses AWS Elastic Beanstalk to run a Python Imaging Library with custom image processing code across its high-volume real estate platform.

Rachio

Rachio uses AWS Elastic Beanstalk to deploy and manage the website, applications, and APIs for the Smart Sprinkler Controller — a WiFi-based irrigation controller with cloud-connected device management requirements.

Edmunds.com

Edmunds.com uses AWS CodeCommit for a scalable, highly available source control service that reduces costs and simplifies administration for Edmunds.com’s development teams managing automotive marketplace software.

Get Started

Get started with AWS DevOps services through an AWS account with access to the AWS Free Tier. AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, AWS CloudFormation, and Amazon CloudWatch are all available immediately without setup or infrastructure installation.

Additional Resources

AWS DevOps additional resources cover 2 categories: guides and tutorials for implementing specific DevOps services, and training and certification programs for DevOps practitioners building cloud DevOps skills on AWS.

Learn

Google Cloud DORA research covers the technical, process, and cultural capabilities driving software delivery performance — informed by 40,000+ professionals on DevOps practices, AI adoption, and platform engineering.

Resources

Cloud DevOps resources span 3 platforms: AWS DevOps Partner Solutions and the Amazon Builders’ Library; Google Cloud DORA reports and research documentation; and OCI DevOps reference architectures and deployment guides. TKXEL’s cloud DevOps services integrate with GenAI Consulting and Workshops, Data Governance and Business Intelligence (BI), MLOps and AI Infrastructure, and C-Suite Strategies for AI Adoption for organizations building AI-powered DevOps workflows.

Developers

Cloud DevOps developers access services through the AWS CLI, Google Cloud CLI, OCI CLI, and respective APIs and SDKs. Gemini CLI provides open source AI agent access to Google Cloud directly in the developer terminal for DevOps automation workflows.

Help

Cloud DevOps help is available through AWS Support, Google Cloud Support, and Oracle Cloud Support — each offering documentation, community forums, and paid support tiers. Partners including SoftServe and TKXEL provide managed DevOps services and AI Adoption consulting for organizations requiring hands-on cloud DevOps implementation support.