DevOps services

Improve system reliability, reduce downtime risks, and keep your infrastructure ready for changing workloads. Choose KPS DevOps services to strengthen CI/CD, automation, monitoring, and cloud cost control, while also preparing secure environments, data pipelines, AI gateways, and access policies for AI-related infrastructure.

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Release delays? Environment issues? With DevOps services and solutions, your team brings delivery under control

DevOps is a practical necessity for technical teams that need predictable releases, faster time to market, and better control over infrastructure costs. Well-structured DevOps processes, including CI/CD, infrastructure automation, and monitoring, reduce manual work across build, test, deployment, and production support.

  • Faster release cycles

    • Reduces manual steps in build, test, and deployment workflows

    • Supports more frequent releases without losing delivery control

    • Gives developers clearer feedback before changes reach production

  • Environment consistency

    • Creates repeatable infrastructure setup across development, testing, and production

    • Reduces configuration differences that cause late-stage defects

    • Supports infrastructure changes through version-controlled automation

  • Stronger system visibility

    • Tracks application and infrastructure behavior through logs, metrics, and alerts

    • Helps teams find root causes faster when incidents happen

    • Gives technical leaders clearer data for reliability and capacity decisions

  • Lower operational risk

    • Adds automated checks before releases move forward

    • Supports rollback planning and controlled deployment practices

    • Reduces dependence on individual knowledge during critical updates

  • Better team coordination

    • Connects development, QA, and operations workflows around the same delivery process

    • Clarifies ownership across releases, infrastructure changes, and production support

    • Reduces hand-off delays between teams working on the same product

  • Controlled infrastructure costs

    • Uses automation and capacity planning to reduce unnecessary manual infrastructure work

    • Supports autoscaling and environment management based on real usage needs

    • Helps avoid overprovisioning when systems grow or workloads change

  • Stable product change management

    • Supports new features without production disruption

    • Handles seasonal campaigns and traffic spikes

    • Adapts infrastructure to market expansion

Need a DevOps services provider for CI/CD and cloud infrastructure?

KPS helps review your current release and infrastructure needs, clarify the DevOps expertise your team needs, and estimate the scope of CI/CD, automation, and monitoring work.

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DevOps services KPS specialists can support

We deliver DevOps services across SDLC, from initial setup and automation to monitoring, security checks, and long-term operational support.

01

CI/CD pipeline setup

Set up build, test, and deployment pipelines that reduce manual release steps and give developers faster feedback before production changes.

02

Infrastructure as code (IaC)

Configure infrastructure through code, version control, and automation so that environments can be created, changed, and reviewed with less reliance on manual setup.

03

Cloud infrastructure management

Support cloud environments across provisioning, configuration, autoscaling, and capacity planning, so infrastructure follows product usage instead of staying fixed around assumptions.

04

Containerization and orchestration

Prepare applications for Docker and Kubernetes-based environments, so teams can manage deployments, services, and workloads in a more consistent way.

05

Monitoring and logging

Configure logs, metrics, dashboards, and alerts, so technical teams can notice incidents earlier, investigate root causes faster, and understand how infrastructure affects users.

06

DevSecOps implementation

Add security checks, policy controls, and vulnerability scanning into delivery workflows, so security issues are detected earlier instead of appearing only before release.

07

Release and deployment automation

Automate deployment steps, rollback flows, and environment promotion, so releases become easier to repeat and less dependent on individual engineers.

08

DevOps team extension

Provide DevOps specialists who join your team’s tools, processes, and communication flow, so infrastructure and release work can move together with product development.

09

AI infrastructure preparation

Set up the infrastructure layer needed for AI-related workflows, including secure environments, data pipelines, access rules, logs, and AI gateways, so teams can add AI features without creating uncontrolled system risks.

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Technology stack supported by our DevOps services company

KPS technology stack is built for complex products, high workloads, and infrastructure needs that require more than a basic setup. Our teams work with widely used DevOps tools, cloud platforms, and domain-specific technologies selected for your architecture, security requirements, and long-term operational goals.

  • Cloud platforms

    Cloud providers: AWS, Microsoft Azure, Google Cloud Platform
    Cloud services: Amazon EC2, ECS, EKS, Lambda, RDS, S3, CloudWatch; Azure Virtual Machines, AKS, Azure DevOps, Azure Monitor; Google Compute Engine, GKE, Cloud Build, Cloud Monitoring
    Cloud practices: environment provisioning, autoscaling, capacity planning, cloud cost control

  • CI/CD and release automation

    CI/CD tools: GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, Bitbucket Pipelines
    Build and deployment practices: automated builds, test pipelines, deployment approvals, rollback flows
    Release strategies: blue-green deployments, canary releases, feature flags, environment promotion

  • Infrastructure as code and configuration management

    IaC tools: Terraform, AWS CloudFormation, Azure Resource Manager, Pulumi
    Configuration tools: Ansible, Puppet, Chef
    Infrastructure practices: version-controlled infrastructure, repeatable environment setup, configuration automation

  • Containers and orchestration

    Containerization: Docker, Docker Compose
    Orchestration: Kubernetes, Amazon EKS, Azure AKS, Google GKE, OpenShift
    Supporting tools: Helm, Istio, Traefik, NGINX Ingress Controller

  • Monitoring, logging, and observability

    Monitoring tools: Prometheus, Grafana, Datadog, New Relic, Zabbix
    Logging tools: ELK Stack, Fluentd, Logstash, Kibana, Splunk
    Error tracking and alerts: Sentry, CloudWatch Alerts, Azure Monitor Alerts, PagerDuty

  • DevSecOps and quality checks

    Security scanning: SonarQube, Snyk, Checkmarx, Veracode
    Container and infrastructure scanning: Trivy, kube-bench, kubeaudit, Prowler
    Quality practices: static code analysis, dependency checks, policy as code, vulnerability detection in CI/CD pipelines

Collaboration options built around your delivery needs

Different DevOps needs require different levels of involvement. KPS offers three work formats, so you can choose the format that fits your team structure, workload, and level of internal control.

Dedicated DevOps team

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  • Long-term DevOps capacity

  • Stable technical ownership

  • Ongoing infrastructure support

Team extension

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  • Specific DevOps skill gaps

  • Your tools and processes

  • Direct team collaboration

Managed DevOps delivery

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  • Clear delivery scope

  • Agreed timelines and ownership

  • Structured execution process

How KPS organizes DevOps service delivery from need to stable cooperation

Our DevOps process is designed to improve how software moves from development to production without forcing your team to rebuild everything at once, wasting unplanned costs on infrastructure, or hiring more specialists to support existing workflows. Each stage focuses on: understanding the current setup, defining what should change, integrating DevOps work into daily delivery, and keeping infrastructure, releases, and support responsibilities clear.

STEP 01:

Delivery and infrastructure review

Our partnership starts with understanding how your software is built, tested, released, and supported now. KPS technical leads, delivery managers, and your engineering stakeholders review release workflows, infrastructure setup, cloud environments, monitoring gaps, and operational risks. If the setup is built from scratch, the team defines infrastructure needs, environment structure, deployment flow, monitoring requirements, and access rules before implementation starts.

STEP 02:

DevOps scope definition

Once the current setup is clear, KPS technical leads define what DevOps work should be done first and how it should support the full software development lifecycle. This may include CI/CD setup, infrastructure automation, cloud configuration, monitoring, security checks, deployment automation, or production support improvements. The result is a clear SDLC roadmap with priorities, responsibilities, timelines, and expected outcomes.

STEP 03:

Environment and access preparation

Client-side engineering leads, together with our DevOps engineers and security stakeholders, prepare the technical access needed for work. This includes repositories, cloud accounts, CI/CD tools, infrastructure documentation, monitoring systems, and communication channels. The goal is to start implementation with enough context and without unnecessary delays.

STEP 04:

Workflow integration

A team of DevOps engineers works within the agreed scope and connects changes to your existing development process or helps build new ones if needed. They configure pipelines, automate infrastructure, adjust cloud environments, set up monitoring, and support deployment flows while coordinating with developers, QA engineers, and technical leads.

STEP 05:

Validation and operational control

The technical team, including DevOps engineers, QA specialists, and client-side technical leads, tests the new setup before it becomes part of daily delivery. They check pipeline behavior, deployment flows, infrastructure changes, access rules, alerts, and rollback options. This stage reduces the risk of introducing automation that works technically but does not fit real team workflows.

STEP 06:

Support, improvement, and scaling

After the main setup is in place, KPS delivery managers, DevOps engineers, and client stakeholders review how the process works in practice. They track recurring issues, delivery blockers, infrastructure needs, and workload changes. When the product grows, the DevOps scope can expand to support new environments, stronger monitoring, more automation, or additional engineering capacity.

STEP 01:

Delivery and infrastructure review

Our partnership starts with understanding how your software is built, tested, released, and supported now. KPS technical leads, delivery managers, and your engineering stakeholders review release workflows, infrastructure setup, cloud environments, monitoring gaps, and operational risks. If the setup is built from scratch, the team defines infrastructure needs, environment structure, deployment flow, monitoring requirements, and access rules before implementation starts.

STEP 02:

DevOps scope definition

Once the current setup is clear, KPS technical leads define what DevOps work should be done first and how it should support the full software development lifecycle. This may include CI/CD setup, infrastructure automation, cloud configuration, monitoring, security checks, deployment automation, or production support improvements. The result is a clear SDLC roadmap with priorities, responsibilities, timelines, and expected outcomes.

STEP 03:

Environment and access preparation

Client-side engineering leads, together with our DevOps engineers and security stakeholders, prepare the technical access needed for work. This includes repositories, cloud accounts, CI/CD tools, infrastructure documentation, monitoring systems, and communication channels. The goal is to start implementation with enough context and without unnecessary delays.

STEP 04:

Workflow integration

A team of DevOps engineers works within the agreed scope and connects changes to your existing development process or helps build new ones if needed. They configure pipelines, automate infrastructure, adjust cloud environments, set up monitoring, and support deployment flows while coordinating with developers, QA engineers, and technical leads.

STEP 05:

Validation and operational control

The technical team, including DevOps engineers, QA specialists, and client-side technical leads, tests the new setup before it becomes part of daily delivery. They check pipeline behavior, deployment flows, infrastructure changes, access rules, alerts, and rollback options. This stage reduces the risk of introducing automation that works technically but does not fit real team workflows.

STEP 06:

Support, improvement, and scaling

After the main setup is in place, KPS delivery managers, DevOps engineers, and client stakeholders review how the process works in practice. They track recurring issues, delivery blockers, infrastructure needs, and workload changes. When the product grows, the DevOps scope can expand to support new environments, stronger monitoring, more automation, or additional engineering capacity.

Want to know who you’ll work with?

Contact our client support team, which will provide you with a technical evaluation of your needs and give you details on the collaboration resources you will need.

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Anton Trakht

CEO at Kultprosvet

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Mykola Aleksandrov

Account Executive

We are ready to review your requirements and propose a practical next step.
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Need additional information on DevOps services?

You might find the answers here:

How can CI/CD improve our software delivery process?

How can Infrastructure as Code help our team manage cloud infrastructure with fewer manual tasks?

How can DevSecOps help our team reduce vulnerabilities without slowing releases?

How can AI improve DevOps without adding extra complexity to our team?

How can we understand if our DevOps process is mature enough to support regular releases?

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