DevOps Engineering Services to Accelerate Software Delivery

Updated

Our DevOps services help organizations streamline development and operations through automation, continuous integration, and scalable cloud infrastructure. By aligning people, processes, and technology, we enable faster releases, improved system reliability, and efficient collaboration across teams—without compromising security or performance.

Clients of NeoSOFT

our Services

DevOps Engineering Services We Provide

CI/CD Pipeline Implementation

We design and implement automated CI/CD pipelines that enable continuous integration, testing, and deployment. This ensures faster releases, reduced manual errors, and a streamlined software delivery lifecycle across environments.

Infrastructure Automation

Our DevOps engineers use infrastructure-as-code tools such as Terraform, Ansible, and CloudFormation to automate provisioning, configuration, and deployment—ensuring consistency, scalability, and faster environment setup.

Cloud Migration and Management

We help businesses migrate applications and infrastructure to cloud platforms like AWS, Azure, and Google Cloud. Our team manages cloud environments efficiently, ensuring optimal performance, cost control, and operational stability.

Configuration Management

We implement configuration management solutions using tools like Ansible, Puppet, or Chef to standardize system configurations, eliminate drift, and maintain consistency across development, staging, and production environments.

Monitoring and Alerting

Our DevOps services include setting up real-time monitoring and alerting systems to track performance metrics, identify anomalies, and proactively respond to issues before they impact users or business operations.

Scalability and High Availability

We design resilient infrastructure architectures that scale horizontally, handle traffic spikes, and maintain high availability—ensuring your applications remain reliable even under heavy workloads.

Security and Compliance

Security is integrated throughout our DevOps processes. We implement secure pipelines, conduct vulnerability assessments, and ensure compliance with industry standards and regulatory requirements.

Collaboration and Communication Tools

We enhance team collaboration and visibility by integrating tools like Jira, Confluence, Slack, and Git-based workflows—enabling smoother coordination between development and operations teams.

DevOps Coaching and Training

Our DevOps experts provide hands-on coaching and training to help teams adopt DevOps practices, tools, and workflows, fostering a strong DevOps culture within the organization.

Performance Optimization

We analyze system and application performance to identify bottlenecks and implement optimization strategies that improve speed, reliability, and overall infrastructure efficiency.
Our Strategy

Why Should You Choose Our DevOps Engineers

Extensive Expertise

Our DevOps engineers bring deep technical knowledge and hands-on experience in implementing and managing DevOps practices across diverse industries, platforms, and technology stacks.

DevOps Delivery

We deliver DevOps solutions aimed at deployment speed, system reliability, operational efficiency, and time-to-market.

Collaboration and Communication

Our engineers excel at fostering seamless collaboration between development, operations, and stakeholders—ensuring clear communication, streamlined workflows, and faster issue resolution.

CI/CD Mastery

We specialize in designing and managing robust CI/CD pipelines that enable automated builds, testing, and deployments, helping teams release software faster with greater confidence.

Cloud and Infrastructure Expertise

Our DevOps team works across cloud platforms and infrastructure automation, enabling secure, scalable, and cost-efficient environments across leading cloud providers.

Automation Champions

Automation is at the core of our approach. We leverage modern DevOps tools and technologies to eliminate repetitive tasks, reduce errors, and accelerate development and operations workflows.

Agile Mindset

Our engineers embrace agile methodologies, adapting quickly to changing requirements while promoting continuous improvement, flexibility, and innovation across DevOps processes.

Problem Solvers

We thrive on solving complex technical challenges—diagnosing issues, optimizing systems, and implementing innovative solutions that enhance performance and operational stability.

Strong Analytical Skills

Our DevOps engineers take a data-driven approach, analyzing metrics and system behavior to identify bottlenecks, improve performance, and make informed architectural decisions.

Client-Centric Approach

We prioritize understanding your business goals and technical needs, tailoring DevOps strategies that align with your objectives and deliver maximum value and long-term success.

Benefits of Hiring DevOps Engineers

Faster Time-to-Market

DevOps engineers streamline CI/CD pipelines and automate deployments, enabling faster releases without compromising quality—so you ship features and updates quicker.

Improved Collaboration

By bridging the gap between development and operations teams, DevOps engineers foster better communication, reduce friction, and align teams toward shared delivery goals.

Enhanced System Reliability

Through proactive monitoring, automated testing, and infrastructure best practices, DevOps engineers help build stable, resilient systems with reduced downtime.

Scalable Infrastructure

DevOps engineers design cloud-ready architectures that scale seamlessly with business growth, ensuring consistent performance during traffic spikes and peak usage.

Cost Optimization

With infrastructure automation and efficient resource management, DevOps teams eliminate waste, optimize cloud spending, and lower operational costs over time.

Continuous Integration and Delivery

Automated CI/CD pipelines ensure frequent, reliable code integration and deployment—minimizing human error and accelerating development cycles.

Improved Security and Compliance

DevOps engineers embed security practices into pipelines (DevSecOps), helping identify vulnerabilities early and maintain compliance across environments.

Automation-Driven Efficiency

By automating repetitive tasks such as provisioning, testing, and monitoring, DevOps engineers free up teams to focus on innovation and high-value work.

Rapid Issue Detection and Resolution

With real-time monitoring, logging, and alerting systems in place, DevOps engineers detect issues early and resolve them before they impact users.

Future-Ready Operations

DevOps practices prepare your organization for continuous improvement, faster adaptation to change, and long-term operational excellence.

This page is the engineering half of DevOps at Sthenos: the pipelines, environments, monitoring and release paths themselves. The ten services above are set out below on the delivery path they act on, the vocabulary is defined so both sides mean the same thing before anything is signed, and the questions buyers ask most are answered at the end.

Services on this pageTen

From CI/CD pipeline implementation through to performance optimization, each one listed above.

Hourly rates$150 to $250

Per hour, depending on the seniority and mix of the team. The published Sthenos band.

Cloud platformsThree

AWS, Microsoft Azure and Google Cloud, each with its own platform page on this site.

Delivery cadenceTwo weeks

We work in two week sprints, so working software arrives every two weeks.

On this page

The delivery path, and which service acts where

Everything on this page acts somewhere on the path a change takes from a commit to a running system. The figure places the ten services on that path, and the list underneath says what each stage produces.

Figure 1. The delivery path, and where each service on this page acts

A left to right pipeline from commit to operate, with the ten DevOps engineering services listed on this page placed under the stage each one names THE PATH A CHANGE TAKES Commit Build and test Environments Release Operate Source control and review. CI/CD pipeline implementation Infrastructure automation Configuration management Cloud migration and management Scalability and high availability Monitoring and alerting Performance optimization Across the whole path Security and compliance, collaboration and communication tools, DevOps coaching and training.

Caption: the five stages are the path a change takes from commit to production. The ten labels are this page's own service tiles, each placed under the stage its name describes. No delivery time or frequency is shown, because Sthenos publishes none.

  • CommitA change enters source control and is reviewed before it goes anywhere else.Your engineers
  • Build and testAutomated build and test on every change, so a change reaches an environment the same way every time.CI/CD pipeline implementation
  • EnvironmentsEnvironments defined in files and rebuilt from those files, with standard configuration applied the same way everywhere, on the cloud estate the work runs on.Infrastructure automation, configuration management, cloud migration and management
  • ReleaseThe new version replaces the running one, and the platform carries the load it is given.Scalability and high availability
  • OperateWhat happens after a deploy: the signals that show user pain, and the work of making the running system faster and cheaper.Monitoring and alerting, performance optimization

The ten DevOps engineering services

These are the service tiles set out above, in one list, so the whole scope can be read at once and taken into a statement of work.

  • CI/CD pipeline implementation
  • Infrastructure automation
  • Cloud migration and management
  • Configuration management
  • Monitoring and alerting
  • Scalability and high availability
  • Security and compliance
  • Collaboration and communication tools
  • DevOps coaching and training
  • Performance optimization
What this page does not claim. Sthenos publishes no deployment frequency, no lead time and no recovery time of its own, and no delivery speed multiple. The four measures are defined below, and the honest alternative to a published figure is to baseline your own pipeline at the start and report the trend against that baseline.

What you receive from DevOps services

The artefacts below land on your side of the fence and remain yours. They are what a DevOps engagement should hand you, listed so you can hold any engagement to them, whoever provides your DevOps development services. The same list is on our DevOps consulting and services page.

  • Pipeline definitions, held in your repository, covering build, test, packaging and deployment for each environment, so the pipeline can be read, reviewed and changed by your own engineers.
  • Infrastructure as code repositories that define each environment, with the differences between environments expressed as parameters rather than as separate hand built estates.
  • Environment and release documentation: what each environment is for, how a change is promoted between them, and who may approve that promotion.
  • Runbooks for the failures most likely to occur, written to be followed at three in the morning by somebody who did not build the system.
  • Dashboards and alerts covering the signals that indicate user pain, with every alert routed to a named destination and alerts nobody can action removed rather than muted.
  • Rollback procedures, written and rehearsed rather than assumed, including the database question, which is the one that turns a rollback into an outage.
  • A findings and risk register from the assessment, with each item carrying an owner and either a fix or an accepted risk.
  • A handover session with your engineers, because a pipeline nobody on your side can change is a dependency rather than an improvement.

Infrastructure automation versus configuration management

Two of the ten services above share tools and are easy to confuse. The difference, in the words of the two service tiles and of the vocabulary on our DevOps consulting and services page:

Infrastructure automation

What should exist
  • Infrastructure as code: the network, the cluster, the database, the permissions, written as files and applied by a tool that reconciles reality to the file.
  • Automates provisioning, configuration and deployment with infrastructure as code tools such as Terraform, Ansible and CloudFormation.
  • Without it, an environment nobody can rebuild.

Configuration management

What should be true inside it
  • Packages, services, users and settings inside those machines once they exist.
  • Standardizes system configurations with tools like Ansible, Puppet or Chef, and maintains consistency across development, staging and production environments.
  • Without it, two servers that were identical in January and are not in June.

The reason both matter is drift, and Ansible spans both. GitOps comes after them: infrastructure as code plus a reconciler that continuously corrects the running environment back to the repository, which only pays off once the state genuinely lives in the repository.

The DevOps vocabulary, in short

This page names the engineering. The terms below are the ones that decide what gets built, defined in one line each here and at length on our DevOps consulting and services page, where each entry links directly.

CI, CD and continuous deploymentMerging and testing on every change, then being able to release on demand, then releasing automatically. Three different commitments rather than three words for the same thing. Read the long definition.
Blue green, canary and rolling releasesThree ways to replace a running version without a maintenance window, trading infrastructure cost against how fast you can change your mind. Read the long definition.
Infrastructure as code and configuration managementWhat should exist, against what should be true inside it. Terraform and CloudFormation on one side, Puppet and Chef on the other, Ansible across both. Read the long definition.
Monitoring and observabilityAnswering the questions you thought of in advance, against answering the ones you did not, from the data the system already emits. Read the long definition.
DevOps, platform engineering and site reliability engineeringA working practice, an internal product, and an operating model with explicit reliability targets. Not competitors. Read the long definition.
GitOpsInfrastructure as code plus a reconciler that continuously corrects the running environment back to the repository. Read the long definition.
The four delivery measuresDeployment frequency, change lead time, change fail rate and failed deployment recovery time, defined by DORA, a research programme run by Google Cloud. Sthenos publishes no figure of its own for any of them. The honest alternative is to baseline your own pipeline at the start and report the trend against that baseline. See the definitions and why we publish no number.

What to ask any DevOps service company

These questions are written to be asked of any DevOps service provider, Sthenos included. The first comes from the vocabulary above, the last is where DevOps and security meet, and the rest are from the longer list on our DevOps consulting and services page, which also covers certifications.

  • Ask which of CI, CD and continuous deployment they are proposing. Merging and testing on every change, being able to release on demand, and releasing automatically are three different commitments rather than three words for the same thing.
  • Ask which of the four DORA measures they will baseline on your systems, and when. A vendor who quotes their own deployment frequency instead of proposing to measure yours has answered a different question.
  • Ask to see a pipeline definition and a runbook from a previous engagement, redacted. The deliverables either exist as artefacts or they exist as a description of artefacts.
  • Ask who owns the pipeline on the day after handover, by name and role. If the answer is that the vendor keeps operating it, that is a service, not a handover, and it should be priced as one.
  • Ask what happens to the tooling if you stop working together. A pipeline built on your accounts, in your repositories, with tools you can license directly, survives the relationship. A pipeline inside the vendor's tenancy does not.
  • Ask whether a rollback has ever been rehearsed on a system they delivered. Rehearsal is the thing that separates the claim from the capability.
  • Ask how secrets will be handled, specifically. The answer should name where secrets live, who can read them and how access is revoked, not merely that they are encrypted.

More questions about DevOps engineering

What is included in a DevOps engineering engagement?

The ten services listed on this page: CI/CD pipeline implementation, infrastructure automation, cloud migration and management, configuration management, monitoring and alerting, scalability and high availability, security and compliance, collaboration and communication tools, DevOps coaching and training, and performance optimization. Which of them an engagement uses depends on where the delivery path is failing today.

How is DevOps engineering different from DevOps consulting?

Our DevOps consulting and services page sets out four lines of work, consulting, DevOps as a service, enablement and transformation, and groups the practices by where you are: assess, build and operate. This page is the engineering itself, the pipelines, environments and monitoring that the assessment recommends.

Which cloud platforms do your DevOps engineers work on?

AWS, Microsoft Azure and Google Cloud, each of which has its own platform page on this site, and cloud migration and management is one of the ten services above. For an estate that is moving rather than running, we publish a separate cloud migration and optimization practice.

Who owns the pipeline, the repository and the cloud accounts?

You do, entirely, from the first commit. The repository and the cloud accounts are in your name, with no licence back to us and no dependency on us continuing to exist. That is the position published on our custom software development page and it holds for DevOps work as well.

What does DevOps engineering work cost?

Our rates are $150 to $250 per hour, depending on the seniority and mix of the team, and a typical project runs $50,000 to $200,000. On DevOps work the size of the estate, the number of environments and how much of the delivery path already exists all move the total.

Do you publish your own deployment frequency or recovery time?

No. The four delivery measures are deployment frequency, change lead time, change fail rate and failed deployment recovery time, defined by DORA, a research programme run by Google Cloud. Sthenos publishes no figure of its own for any of them. The honest alternative is to baseline your own pipeline at the start and report the trend against that baseline.

Ready to look at your delivery path? Tell us where a release currently stalls and which of the ten services above you think you need, and we will tell you which one we would actually start with. Talk to our engineers.

Selected Project Examples

Project example

Core Service Application Using a Microservices Architecture

A scalable core service application using a microservices-based architecture to unify multiple business services into a single, high-performance platform. Each service was independently deployable, improving fault isolation, scalability, and development velocity.

Security was embedded at every layer, including role-based access control, secure API gateways, and encrypted data storage. The solution significantly streamlined operations while maintaining high availability and performance across services.

Close-up of a red curved building facade with repeating balcony fins
Project example

Cloud Infrastructure on AWS and Containerized Applications

A robust AWS cloud infrastructure, architected and deployed with DevOps engineering to support distributed applications at scale. The solution included secure VPC configuration, VPN tunneling for protected data access, and containerized workloads to ensure portability and consistency across environments.

Docker and container orchestration were leveraged to optimize application deployment, improve resource utilization, and simplify environment management.

Isometric AWS illustration of cloud infrastructure components connected across a network
Project example

Code Deployment Automation for an Oracle SaaS Platform

A fully automated CI/CD pipeline for an Oracle-based SaaS application to eliminate manual deployment bottlenecks and improve code quality. The application was deployed on AWS ECS, with CI/CD workflows built using AWS CodeBuild and CodePipeline.

Static code analysis and quality gates were enforced through SonarQube integration, ensuring clean, secure, and maintainable code across all releases.

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2

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