Ensure Quality, Save Costs, and Deliver Faster
DevOps Consulting
WWG’s DevOps consulting services make software delivery repeatable for European mid-market companies: engineers automate the build, test and release path, define infrastructure as code, set up monitoring and alerting, and change the practices around them. You get pipelines your team can run without us, documented context, and a named owner for the engagement. Scope is fixed before we start; the work runs as a project or as an ongoing managed service.
Definition
What are DevOps consulting services
DevOps consulting services are the work of making software delivery repeatable: automating the build, test and release path, defining infrastructure as code, putting monitoring and alerting in place, and changing the practices around them so releases stop being events. The measure is how often a team can ship safely, not which tools it owns.
our advantages
Why Choose Us?
01
End-to-end DevOps Expertise
We handle everything—from assessments and CI/CD implementation to cloud optimization and 24/7 support.
02
Fast Deployment & Integration
Our team integrates into your workflows seamlessly, delivering rapid results and tangible value.
03Tailored
Tailored
Solutions
Custom roadmaps and solutions to align with your unique business goals and technology stack.
04Continuous
Continuous
Innovation
We stay up-to-date with emerging tools and best practices to future-proof your systems.
what do we offer
Our DevOps Solution
A comprehensive DevOps services company seamlessly integrates development and operations, ensuring fast, reliable, and secure software delivery while providing strategic oversight and technical expertise to meet evolving business needs.
DevOps Consulting Services
DevOps Managed Services
Cloud DevOps Consulting Services
DevOps Automation Services
DevOps Tools and Services Integration
Web Application DevOps Services
DevOps Financial Services (Cost-Efficiency & Compliance)
DevOps IT Support Services
DevOps IT Support Services
DevOps Engineering Services
- Strategic Roadmaps:
Assessment of current workflows, toolchains, and team dynamics to create an actionable DevOps roadmap. - Cultural Alignment:
Guidance on breaking down silos, fostering collaboration, and driving the DevOps mindset across all stakeholders. - Technology Stack Rationalization: Recommendations for best-fit CI/CD tools, configuration management systems, and cloud platforms.
- Proactive Pipeline Maintenance:
Continuous monitoring and tuning of CI/CD pipelines to ensure stable, repeatable release processes. - Infrastructure as Code (IaC):
Automated environment provisioning with Terraform, CloudFormation, or Pulumi for consistent, version-controlled infrastructure. - 24/7 Incident Management:
On-call support teams leveraging alerts, runbooks, and automated rollbacks to minimize downtime.
- Multi-Cloud Optimization:
Deployment strategies across AWS, Azure, and GCP tailored for cost efficiency, scalability, and fault tolerance. - Hybrid & On-Premises Integration:
Smooth migration from legacy environments to the cloud, ensuring minimal disruption and enhanced security posture. - Compliance and Governance:
Built-in frameworks that align deployments with SOC 2, ISO 27001, HIPAA, or PCI-DSS standards.
- Unified CI/CD Pipelines:
Integration of tools like Jenkins, GitLab CI, or GitHub Actions for automated builds, tests, and deployments. - Security Shift-Left:
Automated SAST, DAST, and container scanning (e.g., Snyk, Aqua Security) integrated early into the development lifecycle. - Infrastructure Scaling:
Auto-scaling policies in Kubernetes or serverless platforms to handle sudden spikes in traffic without manual intervention.
- Containerization & Orchestration:
Dockerized applications managed by Kubernetes, ensuring portability, scalability, and efficient resource utilization. - Service Meshes & APIs:
Tools like Istio or Linkerd for secure, observable communication between microservices. - Observability Stacks:
Integrated logging, tracing, and metrics platforms (ELK, Prometheus, Grafana) for real-time insights and root-cause analysis.
- Intelligent Deployment Strategies:
Blue-green, canary, or feature-flagged deployments to minimize user impact and expedite feedback loops. - Performance Optimization:
Automated load testing and synthetic monitoring ensure consistent, high-performing end-user experiences.
- Resource Visibility Dashboards:
Customized reporting with cloud cost explorers, surfacing real-time spending trends and optimization opportunities. - Budget Enforcement Policies:
Automated alerts and cost caps to prevent overrun and maintain financial predictability.
- Continuous Improvement Cycles:
Scheduled audits of pipelines, security configurations, and performance baselines. - Knowledge Transfer & Training:
Upskilling internal teams with workshops, documentation, and best practices sessions.
- On-Demand Talent Acquisition:
Scalable access to DevOps engineers, architects, and SRE specialists when internal bandwidth is limited. - Flexible Engagement Models:
Project-based or long-term staffing solutions align with changing organizational requirements.
- Microservices & API Gateways:
Decomposition of monolithic applications into containerized services for improved agility and resilience. - Continuous Security & Compliance Checks:
Embedding policies that automatically verify adherence to corporate and industry standards at each release stage.
process
How do we work?
Planning & Strategy
- Define goals, KPIs, and toolchain selection.
- Organizational readiness assessments and culture alignment.
01
01
Planning & Strategy
- Define goals, KPIs, and toolchain selection.
- Organizational readiness assessments and culture alignment.
02
Build & Test Integration
- Implement automated builds, unit tests, and performance checks.
- Shift-left security testing is embedded early in the development cycle.
02
Build & Test Integration
- Implement automated builds, unit tests, and performance checks.
- Shift-left security testing is embedded early in the development cycle.
Deployment & Release Management
- Continuous delivery pipelines for zero-downtime deployments.
- Use of feature flags for controlled rollouts, enabling rapid feedback.
03
03
Deployment & Release Management
- Continuous delivery pipelines for zero-downtime deployments.
- Use of feature flags for controlled rollouts, enabling rapid feedback.
04
Operate & Observe
- Real-time monitoring, logging, and distributed tracing.
- Self-healing infrastructure that responds to alerts and scales automatically.
04
Operate & Observe
- Real-time monitoring, logging, and distributed tracing.
- Self-healing infrastructure that responds to alerts and scales automatically.
Feedback & Continuous Improvement
- Regular retrospectives and pipeline reviews.
- Ongoing training and updates to best practices and tools.
05
05
Feedback & Continuous Improvement
- Regular retrospectives and pipeline reviews.
- Ongoing training and updates to best practices and tools.
platforms
Tools & Technologies We Use
CI/CD Tools: Jenkins, GitHub Actions, GitLab CI, CircleCI.
Infrastructure Automation: Terraform, Ansible, CloudFormation.
Containerization & Orchestration: Docker, Kubernetes, Helm.
Monitoring & Observability: Prometheus, Grafana, ELK Stack, Datadog
Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP).
Security Tools: Snyk, Aqua Security, Vault.
What Our Clients Are Saying
"WWG's competencies in technical and management aspects were impressive."
WWG successfully delivered a project document and software that fully met RAG requirements. WWG's project management was efficient — they delivered everything on time. Moreover, they showcased clear communication and strong technical capabilities, which were key to the project's success.
WWG successfully delivered a project document and software that fully met RAG requirements. WWG's project management was efficient — they delivered everything on time. Moreover, they showcased clear communication and strong technical capabilities, which were key to the project's success.
Francesco Adinolfi
R&D, Innovaway SpA
Custom Software Development
WWG provided custom software development services for an ICT company. The team designed and developed an innovative ICT software system capable of supporting RAG services.
Paese
Naples, Italy
The engagement
DevOps consulting in concrete terms
- Duration
- Set in scoping, according to the perimeter: from a single pipeline to a full delivery platform. Ongoing managed services run month by month.
- Start
- After the planning step, once goals, KPIs and toolchain are agreed. Work starts on one pipeline or one process, then extends.
- Who does the work
- WWG DevOps engineers, who implement as well as advise. A named owner follows the engagement and answers for it end to end.
- What we need from you
- Access to repositories, environments and cloud accounts, a few hours with the people who release and operate the system, one point of contact who can decide.
- Output
- Working pipelines, infrastructure defined as code, monitoring and alerting in place, and written documentation your team can run without us.
- Format
- A scoped project with a fixed perimeter, or DevOps managed services on a monthly fee with 24/7 support. Regular pipeline reviews and retrospectives in both cases.
The price is set before we start, in the scoping conversation, based on the perimeter agreed in the planning step. Projects are fixed scope; managed services are a monthly fee. We do not publish a price list.
Comparison
DevOps consulting and the alternatives
When releases hurt, the options on the table are a consultant, a hire, a freelancer or extra hands inside your own team. Each answers a different question; this table says which.
| Criterio | WWG DevOps consulting | In-house DevOps hire | Freelance DevOps consultant | DevOps team augmentation |
|---|---|---|---|---|
| Who it is for | A company that needs its delivery path fixed and documented, without building a DevOps function first. | A company with enough continuous DevOps work to fill a role, and time to recruit. | A team with one well-defined task and someone in-house to review the result. | A team that already has a DevOps lead and needs more engineers under that lead. |
| What it covers | Assessment, CI/CD, infrastructure as code, monitoring, release practice, optional 24/7 managed service. | Whatever that person knows; breadth depends on one CV. | The task agreed; rarely the process around it. | The tasks your lead assigns; direction stays with you. |
| Duration | Set in scoping; project or monthly service. | Months to hire, then permanent. | Days to weeks. | Monthly, for as long as needed. |
| What you get | Pipelines, code and documentation your team runs, with a named owner during the engagement. | One person who holds the knowledge; a risk if they leave. | A result; the knowledge often leaves with the freelancer. | Capacity; the practice is yours to design. |
| When it makes sense | Releases are painful now and you want a repeatable path within a fixed scope. | You have a large, stable platform and a long-term operations budget. | One isolated task with clear acceptance criteria. | You know what to build and lack the hands to build it. |
Team augmentation with WWG DevOps engineers is a separate service; this comparison is about the shape of the work, not about who the engineers are.
Published case studies
- Neotecnica: code audit, security hardening and Kubernetes
Code audit and security hardening, with a high-availability Kubernetes cluster delivered on the back of the findings.
- LogoGrab: IT consulting and cloud services
IT consulting and innovative cloud services for a startup that developed a brand and logo recognition app.
FAQ
Questions & answers
DevOps is a set of practices that bring software development (Dev) and IT operations (Ops) together so that releases stop being events. In practice it means automated build, test and deployment pipelines, infrastructure defined as code, monitoring that tells you what broke before users do, and teams that share responsibility for what runs in production. The measure is how often a team can ship safely, not which tools it owns.
A DevOps consultant reads how your software gets from a commit to production, finds where it stalls or breaks, and changes it: pipelines, environments, infrastructure as code, monitoring, release practice. At WWG the consultant is an engineer who does the implementation, not only the recommendation. The engagement follows five steps, planning and strategy, build and test integration, deployment and release management, operate and observe, feedback and continuous improvement, and it ends with a delivery path your own team runs.
DevOps benefits a business in four ways a CEO can see. Faster delivery: automated pipelines with continuous integration and continuous delivery bring features and fixes to users sooner. Better collaboration: development and operations stop handing problems over a wall. Fewer errors: automated testing, deployment and scaling remove the manual steps where mistakes happen. Lower operating cost: right-sized resources and fewer manual interventions reduce infrastructure and overhead spend. Which of the four matters most for you is defined in the planning step, as a measurable goal.
CI/CD pipelines are the automated path from a code change to a running system. Continuous integration (CI) merges changes into a shared repository several times a day and runs the tests on every merge, so defects surface early. Continuous delivery (CD) automates the deployment to staging and production once the tests pass, with zero-downtime techniques and feature flags for controlled rollouts. The result is releases that are frequent, small and reversible, instead of rare and risky.
Infrastructure as Code (IaC) is the practice of describing servers, networks and cloud services in versioned files instead of building them by hand in a console. It gives consistency, because development, staging and production are created from the same definition; version control, because a change can be reviewed, tested and rolled back like application code; and speed, because a new environment is a run of a script rather than a week of setup. Tools we use include Terraform, CloudFormation and Ansible.
The tools most DevOps teams rely on fall into five groups: CI/CD (Jenkins, GitLab CI, CircleCI), containers and orchestration (Docker, Kubernetes, Helm), infrastructure as code (Terraform, CloudFormation, Ansible), monitoring and observability (Prometheus, Grafana, the ELK stack, Datadog) and security automation (Snyk, Vault, Aqua Security). Which five are the top ones depends on your stack and your cloud: we choose the toolchain in the planning step, and we prefer tools your team already knows over tools we like.
DevOps improves security by moving checks into the pipeline, a practice known as DevSecOps: automated security tests run on every build, vulnerabilities in dependencies are caught before release, and policies such as access control and encryption are enforced by the pipeline rather than by someone’s memory. The same mechanism helps with compliance: pipelines generate logs and reports that serve as an audit trail, and controls from frameworks such as SOC 2, ISO 27001 or GDPR can be embedded as checks. Compliance itself remains your responsibility; the pipeline makes the evidence cheap to produce.
DevOps and cloud platforms fit together because the cloud is programmable. On AWS, Azure or Google Cloud, infrastructure as code provisions and changes environments through version-controlled definitions; resources scale with traffic instead of being sized for the peak; and managed services such as Kubernetes, serverless functions and container orchestration take routine operations off the team. WWG’s cloud DevOps work covers all three providers and hybrid setups, and connects with our cloud migration and cloud cost optimisation services when the move itself is part of the job.
No. The volume work in DevOps, writing repetitive pipeline configuration, generating infrastructure definitions, summarising logs, is faster with the current generation of assistants, and our engineers use them for exactly that, under their own review. What does not change is the judgement: deciding what to automate first, what a safe release looks like for your business, and who is accountable when production fails at night. That judgement is what you buy from a DevOps consultant; the tools make the engineer faster, not absent.
The duration of a DevOps engagement is set in scoping, according to the perimeter: one pipeline for one application is a different job from infrastructure as code and observability for a whole platform. Scope, duration and price are fixed before we start, in the planning step; there is no price list, because two companies with the same headcount can need very different work. Ongoing forms, DevOps managed services and 24/7 support, run on a monthly fee with an agreed scope.
Getting started with DevOps means an assessment of how you deliver today: we read your current process, pipelines and infrastructure and identify the pain points, then agree goals and KPIs in the planning step. From you we need access to repositories and environments, a few hours with the people who release and operate the system, and one point of contact who can take decisions. Then we start small, one pipeline or one process, and extend. When the engagement ends you keep the pipelines, the code and written documentation; whether to continue with a managed service is your choice.
DevOps consulting services are for companies whose software is in production and whose releases hurt: deployments that need a weekend, environments that differ from each other, incidents found by customers. That includes small and mid-sized businesses, not only enterprises: a small team gains most from automating repetitive work, because it has the least slack to absorb it. Startups scaling their infrastructure and e-commerce companies with traffic peaks are typical clients. If you have no production system yet, our software development service is the better starting point.
Related services
Who carries the DevOps work
If you need one engineer inside your own team rather than a project, that is a dedicated DevOps engineer. Where a system with manual releases has to move onto automated pipelines, that is DevOps migration to CI/CD; once it is steady, it becomes cloud infrastructure upkeep.
Tell Us What's Broken
