Automated Software Delivery Process

DevOps & Cloud Engineering Services

Stabilize production, speed up software delivery, and bring cloud costs under control with senior DevOps engineers who can assess, implement, and support your infrastructure.

Start with a DevOps assessment

Signs your infrastructure
and delivery setup
need attention

DevOps problems often show up as slow releases, recurring incidents, rising cloud costs, or infrastructure that becomes harder to change as the product grows.

  • Reliability Production incidents keep repeating, and each one takes hours to diagnose.
  • Reliability Monitoring fires alerts but gives your team little context on root causes.
  • Reliability Critical infrastructure knowledge lives in one or two people's heads.

DevOps services
for production teams

Start with an assessment, solve a specific infrastructure problem, or bring DevOps expertise into your team for ongoing support.

DevOps Assessment & Consulting

A senior review of your infrastructure, delivery pipeline, and cloud setup that results in a prioritized roadmap for improvement.

Typical situations:

  • Recurring incidents without a clear root cause.
  • Infrastructure risks or technical debt are difficult to assess.
  • You need clarity before a major infrastructure change.

    What you get:
  • Infrastructure and delivery audit.
  • Risk register.
  • Prioritized roadmap.
  • Effort estimates for recommended changes.

    Engagement:
  • Fixed-scope assessment.

CI/CD & Release Automation

Build automated, reproducible deployment pipelines with safer releases and predictable rollbacks.

Typical situations:

  • Releases depend on manual steps.
  • Pipelines fail unpredictably.
  • Rollbacks are slow or risky.
  • Environments have drifted apart.

    What you get:
  • CI/CD pipeline redesign.
  • CI infrastructure managed as code.
  • Deployment standards across environments.
  • Documented rollback procedures.

    Engagement:
  • Project-based implementation.

Kubernetes & Container Platforms

Adopt, migrate, or optimize Kubernetes based on what your product actually needs.

Typical situations:

  • Infrastructure struggles to scale.
  • Kubernetes has become expensive or difficult to operate.
  • You need to migrate workloads without disrupting production.

    What you get:
  • Target architecture.
  • Cluster design or migration plan.
  • Autoscaling setup.
  • Cost-optimized compute strategy.

    Engagement:
  • Project-based implementation.

Cloud Migration & Infrastructure Modernization

Move to or between AWS, Google Cloud, and Azure, or modernize infrastructure that no longer fits the product.

Typical situations:

  • You are moving away from legacy infrastructure.
  • You need to change cloud providers.
  • The current architecture limits growth or delivery.

    What you get:
  • Migration readiness assessment.
  • Target architecture and migration plan.
  • Data replication approach.
  • Security baseline.
  • Rollback plan.

    Engagement:
  • Project-based implementation.

Reliability, Observability & Incident Response

Improve visibility into production systems so your team can diagnose incidents faster and reduce repeat failures.

Typical situations:

  • Alerts lack enough context to identify the cause.
  • Root-cause analysis takes too long.
  • The same incidents keep returning.
  • Recovery procedures are unclear.

    What you get:
  • Observability setup across metrics, logs, and traces.
  • Alerting redesign.
  • SLOs and operational practices.
  • Runbooks and incident procedures.

    Engagement:
  • Project-based implementation or ongoing support.

Cloud Cost Optimization & FinOps

Understand where your cloud budget goes and reduce unnecessary spend without compromising reliability or performance.

Typical situations:

  • Cloud bills keep growing.
  • Infrastructure is overprovisioned.
  • Kubernetes costs are difficult to control.
  • Cost ownership between teams or services is unclear.

    What you get:
  • Cost and utilization review.
  • Rightsizing recommendations and implementation.
  • Autoscaling and spot strategy.
  • Storage and traffic optimization.
  • Improved cost allocation and reporting.

    Engagement:
  • Assessment + implementation

Ongoing DevOps Support & Embedded Expertise

Bring senior DevOps engineers into your team when infrastructure needs continuous attention or your internal capacity is limited.

Typical situations:

  • Your team lacks DevOps capacity.
  • Infrastructure knowledge depends on one person.
  • CI/CD, cloud infrastructure, or observability need continuous improvement.

    What you get:
  • Embedded DevOps engineer or team.
  • Shared documentation and runbooks.
  • Regular infrastructure improvements.
  • Knowledge transfer to your internal team.

    Engagement:
  • Embedded engineer or ongoing support

DevOps Assessment & Consulting

A senior review of your infrastructure, delivery pipeline, and cloud setup that results in a prioritized roadmap for improvement.

Typical situations:

  • Recurring incidents without a clear root cause.
  • Infrastructure risks or technical debt are difficult to assess.
  • You need clarity before a major infrastructure change.

    What you get:
  • Infrastructure and delivery audit.
  • Risk register.
  • Prioritized roadmap.
  • Effort estimates for recommended changes.

    Engagement:
  • Fixed-scope assessment.

CI/CD & Release Automation

Build automated, reproducible deployment pipelines with safer releases and predictable rollbacks.

Typical situations:

  • Releases depend on manual steps.
  • Pipelines fail unpredictably.
  • Rollbacks are slow or risky.
  • Environments have drifted apart.

    What you get:
  • CI/CD pipeline redesign.
  • CI infrastructure managed as code.
  • Deployment standards across environments.
  • Documented rollback procedures.

    Engagement:
  • Project-based implementation.

Kubernetes & Container Platforms

Adopt, migrate, or optimize Kubernetes based on what your product actually needs.

Typical situations:

  • Infrastructure struggles to scale.
  • Kubernetes has become expensive or difficult to operate.
  • You need to migrate workloads without disrupting production.

    What you get:
  • Target architecture.
  • Cluster design or migration plan.
  • Autoscaling setup.
  • Cost-optimized compute strategy.

    Engagement:
  • Project-based implementation.

Cloud Migration & Infrastructure Modernization

Move to or between AWS, Google Cloud, and Azure, or modernize infrastructure that no longer fits the product.

Typical situations:

  • You are moving away from legacy infrastructure.
  • You need to change cloud providers.
  • The current architecture limits growth or delivery.

    What you get:
  • Migration readiness assessment.
  • Target architecture and migration plan.
  • Data replication approach.
  • Security baseline.
  • Rollback plan.

    Engagement:
  • Project-based implementation.

Reliability, Observability & Incident Response

Improve visibility into production systems so your team can diagnose incidents faster and reduce repeat failures.

Typical situations:

  • Alerts lack enough context to identify the cause.
  • Root-cause analysis takes too long.
  • The same incidents keep returning.
  • Recovery procedures are unclear.

    What you get:
  • Observability setup across metrics, logs, and traces.
  • Alerting redesign.
  • SLOs and operational practices.
  • Runbooks and incident procedures.

    Engagement:
  • Project-based implementation or ongoing support.

Cloud Cost Optimization & FinOps

Understand where your cloud budget goes and reduce unnecessary spend without compromising reliability or performance.

Typical situations:

  • Cloud bills keep growing.
  • Infrastructure is overprovisioned.
  • Kubernetes costs are difficult to control.
  • Cost ownership between teams or services is unclear.

    What you get:
  • Cost and utilization review.
  • Rightsizing recommendations and implementation.
  • Autoscaling and spot strategy.
  • Storage and traffic optimization.
  • Improved cost allocation and reporting.

    Engagement:
  • Assessment + implementation

Ongoing DevOps Support & Embedded Expertise

Bring senior DevOps engineers into your team when infrastructure needs continuous attention or your internal capacity is limited.

Typical situations:

  • Your team lacks DevOps capacity.
  • Infrastructure knowledge depends on one person.
  • CI/CD, cloud infrastructure, or observability need continuous improvement.

    What you get:
  • Embedded DevOps engineer or team.
  • Shared documentation and runbooks.
  • Regular infrastructure improvements.
  • Knowledge transfer to your internal team.

    Engagement:
  • Embedded engineer or ongoing support

DevOps results
in practice

How a DevOps
engagement works

We can start with a focused assessment or move directly into implementation when the scope is already clear.

We review your current infrastructure, cloud environment, delivery pipelines, and known operational issues. With access to the relevant systems and a few hours with your team, we build a clear picture of how the setup works today and where the main constraints are.

Context & infrastructure review

Why companies choose
Mad Devs for DevOps

Production experience, verifiable engineering expertise, and a delivery model focused on working changes rather than recommendations alone.

Kubernetes Security Specialist

Kubernetes Security Specialist

Kubernetes Security Specialist certification validates expertise in safeguarding Kubernetes environments with advanced tools and methods.

Validate certification
AWS Certified Solutions Architect

AWS Certified Solutions Architect

The goal of this certification is to develop solutions that are optimized for cost and demonstrate a deep understanding of the AWS Well-Architected platform.

Validate certification
Kubernetes Administrator

Kubernetes Administrator

Kubernetes Administrator certification confirms skills in cluster management, installation, config, and maintenance for efficient app performance.

Validate certification
ISO 9001

ISO 9001:2015

ISO 9001:2015 confirms that our development and delivery processes follow internationally recognized quality management standards.

Validate certification

Tell us what's slowing your infrastructure down

Share your infrastructure, delivery, or cloud challenge. We’ll help define the right next step, from a focused assessment to implementation or ongoing DevOps support.

Technologies we use

Kubernetes

Kubernetes

Container orchestration system for managing, scaling, and deployment of software.

AWS

AWS

On-demand cloud computing services that can be accessed through various pay-as-you-go models.

Terraform

Terraform

Code tool to define and manage types of infrastructure, such as on-prem and cloud resources.

GCP

GCP

Azure

Azure

Digital Ocean

Digital Ocean

Docker

Docker

Helm

Helm

Istio

Istio

Prometheus

Prometheus

Grafana

Grafana

ELK

ELK

DataDog

DataDog

Sentry

Sentry

Ansible

Ansible

CloudFormation

CloudFormation

GitlabCI

GitlabCI

GitHub Actions

GitHub Actions

Jenkins

Jenkins

ArgoCD

ArgoCD

CircleCI

CircleCI

CloudWatch

CloudWatch

Yandex.Cloud

Yandex.Cloud

Serverless

Serverless

Google Cloud

Google Cloud

Insights

FAQ

We help with recurring production incidents, slow or unreliable releases, growing cloud costs, scaling bottlenecks, complex Kubernetes environments, cloud migrations, and gaps in DevOps capacity. We can also review your current setup when the underlying problem is not yet clear.

Yes. We can start with a focused review of your infrastructure, delivery pipelines, and cloud setup. You get a prioritized roadmap with identified risks, recommended changes, and estimated effort before deciding what to implement.

We do both. An engagement can stop after an assessment and roadmap, or our engineers can implement the recommended changes in your environment, validate the results, document the new setup, and transfer knowledge to your team.

Yes. Our DevOps engineers can work within your existing team and workflows when you need additional expertise or capacity. This can be a focused engagement or ongoing support for infrastructure, CI/CD, and observability.

We work with AWS, Google Cloud, Azure, and DigitalOcean, as well as cloud-native and infrastructure tools including Kubernetes, Terraform, Ansible, ArgoCD, GitHub Actions, GitLab CI, Jenkins, Prometheus, and Grafana.

Yes. We help with Kubernetes adoption, migration, scaling, and optimization, but Kubernetes is not the right answer for every product. We first assess your architecture, workload, and operational needs before recommending whether to adopt, keep, simplify, or replace it.

Yes. We review cloud spend and infrastructure utilization to identify overprovisioning, inefficient scaling, storage and traffic costs, and other sources of unnecessary spend. Depending on the system, improvements can include rightsizing, autoscaling, spot instances, and better cost visibility.

Yes. We can continue supporting and improving your infrastructure after the initial work is complete. This can include CI/CD, cloud infrastructure, observability, documentation, and regular infrastructure improvements, either alongside your team or as dedicated DevOps expertise.

It depends on the problem and scope. A focused assessment, a CI/CD rebuild, a cloud migration, and ongoing infrastructure support require different engagement lengths. We define the scope, priorities, dependencies, and implementation plan before the main work begins.

We usually start with access to the relevant infrastructure and delivery information, plus a few hours with the people who understand the current setup. From there, we map the existing environment, identify priorities, and define the next steps.