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Docker Containerization for Consistent Deployments

Containerize apps with Docker images, Docker Compose, and registry for consistent environments.
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Application containerization with Docker infrastructure

Development teams struggle with environment inconsistencies between laptops, staging servers, and production. Docker packages applications with dependencies into portable containers that run identically across infrastructure. Our teams work with CTOs implementing containerization where manual environment configuration creates deployment failures and developers waste time debugging environment-specific issues.

Our capabilities include:

Who we support

We work with development teams where environment inconsistencies create deployment failures and Docker containerization can standardize infrastructure without disrupting existing workflows.

Startups Scaling Development Teams

Your developers spend hours configuring local environments and deployment breaks because staging doesn't match production. Manual setup documentation is outdated, and onboarding new engineers takes days instead of hours.

SaaS Companies With Complex Stacks

Your application requires specific versions of databases, caching layers, and runtime environments. Environment drift creates bugs that only appear in production, and coordinating updates across team members is painful.

Enterprises Modernizing Deployment

Manual processes create inconsistent configurations across your deployment environments. Application dependencies conflict, and your ops team struggles to keep development, staging, and production in sync.

Ways to engage

We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.

Staff Augmentation

Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.

Retainer Services

Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.

Project Engagement

Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.

We'll spec out a custom engagement model for you

Invested in creating success and defining new standards

At Curotec, we do more than deliver cutting-edge solutions — we build lasting partnerships. It’s the trust and collaboration we foster with our clients that make CEOs, CTOs, and CMOs consistently choose Curotec as their go-to partner.

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Helping a Series B SaaS company refine and scale their product efficiently

Why choose Curotec for Docker containerization?

Docker adoption fails when teams miss key details like image layers, networking, or volume persistence. Our engineers optimize Dockerfiles for small images, configure Compose for dev-prod consistency, and implement secure registries. Result: containerized applications that deploy consistently, solving problems rather than just adding new complexities.

1

Extraordinary people, exceptional outcomes

Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration. 

2

Deep technical expertise

We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.

3

Balancing innovation with practicality

We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.

4

Flexibility in our approach

We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.

How we implement Docker solutions

Docker Image Optimization

Design multi-stage Dockerfiles that separate build dependencies from runtime, minimize layer count, and reduce image sizes for faster pulls and deployments.

Docker Compose Configuration

Create multi-container development environments with Compose files that define services, networks, and volumes matching production architecture for local testing.

Container Registry Management

Implement private registries with image scanning, vulnerability detection, and access controls that secure container distribution across development and production.

Docker Network Architecture

Configure bridge, overlay, and host networking modes with port mapping and service discovery that connect containers across single and multi-host deployments.

Volume & Data Persistence

Design volume strategies with bind mounts, named volumes, and storage drivers that preserve application data across container restarts and updates.

CI/CD Pipeline Integration

Automate image builds, testing, and registry pushes in CI/CD workflows with Docker BuildKit and layer caching that accelerate deployment cycles.

Docker implementation tools & technologies

Docker Core Platform

Our engineers use Docker Engine and related tools that provide containerization runtime, image building, and local development.

  • Docker Engine — Core containerization runtime with daemon process, CLI tools, and REST API for building, running, and managing containers
  • Docker Desktop — Development environment for Mac and Windows with integrated Kubernetes, resource management, and container debugging tools
  • Docker Compose — Multi-container orchestration tool using YAML configuration for defining services, networks, and volumes in development environments
  • Dockerfile — Declarative build instructions defining base images, dependencies, commands, and layers for creating reproducible container images
  • Docker BuildKit — Enhanced build engine with parallel execution, build caching, and secret management for faster, more secure image creation
  • Docker CLI — Command-line interface for container management, image operations, network configuration, and volume administration

Container Orchestration

Orchestration platforms manage multi-container applications with automated deployment, scaling, and service discovery.

  • Kubernetes — Container orchestration platform with automated rollouts, self-healing, horizontal scaling, and service mesh integration for production workloads
  • Docker Swarm — Native Docker clustering with built-in load balancing, service discovery, and rolling updates for simpler multi-host deployments
  • Amazon ECS — AWS container service with native integration for EC2, Fargate serverless containers, and seamless AWS ecosystem connectivity
  • Nomad — Lightweight orchestrator supporting containers, VMs, and binaries with flexible scheduling and multi-cloud deployment capabilities
  • Rancher — Management platform for Kubernetes clusters with centralized authentication, monitoring, and multi-cluster operations across environments
  • Portainer — Web-based management UI for Docker environments with container logs, stats, templates, and team-based access control

Container Registries

Curotec implements registry solutions that store, distribute, and secure Docker images with vulnerability scanning and access control.

  • Docker Hub — Public container registry with official images, automated builds, vulnerability scanning, and private repository hosting
  • Amazon ECR — AWS container registry with IAM integration, image scanning, lifecycle policies, and direct integration with ECS and EKS
  • Google Container Registry — GCP registry service with Cloud Build integration, vulnerability analysis, and seamless deployment to GKE clusters
  • Azure Container Registry — Microsoft registry with geo-replication, content trust, and native integration across Azure container services
  • Harbor — Open-source enterprise registry with role-based access control, image replication, vulnerability scanning, and policy management
  • JFrog Artifactory — Universal artifact repository supporting Docker with metadata management, access federation, and build integration

Development & Build Tools

Development tools and build utilities streamline Dockerfile creation, image optimization, and local container testing workflows.

  • Visual Studio Code — Code editor with Docker extension providing Dockerfile syntax highlighting, image management, and container debugging capabilities
  • Docker Scout — Image analysis tool detecting vulnerabilities, outdated dependencies, and policy violations with remediation recommendations
  • Hadolint — Dockerfile linter enforcing best practices, identifying inefficient instructions, and catching common configuration mistakes
  • Dive — Layer inspection tool analyzing image contents, identifying wasted space, and optimizing layer efficiency for smaller builds
  • Docker Bench — Security auditing tool checking host configuration, daemon settings, and container runtime against CIS benchmarks
  • Trivy — Vulnerability scanner for container images, file systems, and Git repositories detecting CVEs and misconfigurations

Monitoring & Logging

Our developers use monitoring platforms that track container metrics, resource usage, and application logs across containerized environments.

  • Prometheus — Metrics collection system gathering container resource usage, performance data, and custom application metrics with alerting capabilities
  • Grafana — Visualization platform creating dashboards for container metrics, resource consumption, and application performance across environments
  • cAdvisor — Container monitoring tool from Google analyzing resource usage, performance characteristics, and health metrics for running containers
  • DataDog — Cloud monitoring service with container-native dashboards, distributed tracing, and log aggregation across containerized infrastructure
  • Fluentd — Log aggregation daemon collecting, parsing, and routing container logs to centralized storage and analysis platforms
  • ELK Stack — Elasticsearch, Logstash, and Kibana for centralized logging with full-text search, visualization, and analysis of container logs

CI/CD & Deployment

Integration platforms automate Docker image builds, testing, and deployments with pipeline orchestration and release workflows.

  • Jenkins — Automation server with Docker plugins for building images, running containers, and deploying to registries within CI/CD pipelines
  • GitLab CI/CD — Integrated pipeline platform with native Docker support, container registry, and automated build-test-deploy workflows
  • GitHub Actions — Workflow automation with Docker container actions, image building, and deployment to registries from repository events
  • CircleCI — Cloud-based CI/CD with Docker layer caching, parallel execution, and optimized build performance for container workflows
  • Argo CD — GitOps continuous delivery tool deploying containerized applications to Kubernetes with declarative configuration and rollback capabilities
  • Spinnaker — Multi-cloud deployment platform with canary analysis, blue-green deployments, and automated rollback for container releases

FAQs about our Docker services

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Docker containers share the host OS kernel and start in seconds, using significantly less memory than VMs. VMs provide stronger isolation but require more resources. Docker works best for application portability while VMs suit full OS isolation requirements.

Yes, most applications containerize successfully. We assess dependencies, create Dockerfiles, configure volumes for stateful data, and test across environments. Legacy applications may require architectural adjustments for optimal containerization.

We implement Docker volumes and bind mounts that store data outside container lifecycles. Database containers use named volumes with backup strategies, while application files use bind mounts for development and volumes for production.

We start by containerizing non-critical services, establishing registry workflows, and training teams on Docker workflows. Full migration includes updating CI/CD pipelines, configuring orchestration, and implementing monitoring before production deployment.

Our engineers typically begin containerizing applications within the first week. They’re familiar with multi-stage builds, networking patterns, and orchestration that match production containerization standards.

We scan images for vulnerabilities, run containers as non-root users, implement registry access controls, and apply resource limits. Security includes regular image updates, network segmentation, and secrets management through external vaults.

Ready to have a conversation?

We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.

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