Docker Development & Linux Containers

auto_awesome Why Docker?

Solve the "Works on My Machine" Problem

Docker allows you to package an application with all of its dependencies into a standardized unit for software development. That way your code behaves consistently across development, staging and production environments.

At PixoBots, we specialize in Linux server hardening and Docker optimization. We create multi-stage builds to reduce image size, implement rootless containers for enhanced security, and manage complex stacks with Docker Compose.

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Multi-stage Builds

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Server Hardening

storage

Volume Management

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Custom Networking

Standardization

Container First

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What We Offer in Linux & Docker

Building the foundation for scalable, portable, and highly available applications.

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Server Configuration

Custom Linux server setup (Ubuntu, Debian, Rocky Linux, AlmaLinux) with automated provisioning and security hardening.

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Dockerization

Wrapping legacy and modern applications into optimized Docker images with multi-stage build pipelines.

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Stack Management

Defining and managing complex multi-container environments using Docker Compose and Portainer.

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Image Security

Scanning images for vulnerabilities and implementing least-privilege principles for container runtimes.

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Private Registries

Setting up and managing secure private Docker registries (Harbor, AWS ECR, Docker Hub) for your team.

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Cloud Migration

Moving on-premise workloads to containerized cloud environments with minimal downtime.

Operational Excellence

Why Containerize with PixoBots?

Achieve agility, portability, and security in your deployment lifecycle.

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Portability

Run your application anywhere — from a developer's laptop to an enterprise cloud.

speed

Fast Boot Times

Containers start in milliseconds, enabling rapid scaling and high availability.

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Resource Efficiency

Run more applications on the same hardware compared to traditional virtual machines.

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Version Control

Track versions of your infrastructure just like your code, enabling easy rollbacks.

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Isolation

Processes are isolated in containers, which helps contain a security breach to a single service.

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AI-Augmented Engineers

Your dedicated engineer uses AI tools to draft multi-stage builds and container configs, then reviews and scans every image before it ships.

gpp_good Production-Ready Images

What Goes Into a Hardened Image

A Dockerfile that builds is not the same as an image that is ready for production. These are the details that are easy to skip under deadline pressure.

Minimal bases, fewer vulnerabilities

We start from slim or distroless base images that contain only the runtime your app needs - no shell, package manager or compilers in the final layer. Multi-stage builds keep SDKs and build tools in an earlier stage, so they never ship. Base images are pinned by digest and rebuilt on a schedule, so security patches arrive deliberately rather than as surprise changes.

Least privilege at runtime

Containers run as a non-root user, with a read-only root filesystem where possible, dropped Linux capabilities and explicit memory and CPU limits. Secrets are injected at runtime from your secret store and never baked into a layer, because anything written to a layer can be extracted from the image later.

Know exactly what you ship

Every image is scanned for known vulnerabilities in the pipeline, and builds can produce a software bill of materials (SBOM) - a machine-readable list of every package inside the image. When the next widely reported library vulnerability appears, you can answer which images are affected by querying data instead of opening containers one by one.

Local development that matches production

Compose files mirror production services - the same images, the same database engine and version, the same environment variables - so developers can reproduce production bugs on a laptop. Health checks, correct signal handling for graceful shutdown and logging to standard output make the same image behave well under Compose, a cloud container service or Kubernetes.

Pixel & Bots

Pixel-perfect software, delivered at AI speed

PixoBots stands for Pixel & Bots. Our Bots are dedicated developers who work with AI tools: AI takes the repetitive work, a developer reviews every line, and the result is pixel-perfect.

Pixel

Polished UI and clean, tested code - detail is part of the job, not an afterthought.

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Dedicated developers who join your team and use AI for boilerplate, tests and documentation.

Savings

AI-assisted delivery can save more than 50% of development cost compared with traditional development.

How AI-augmented delivery works

Ready to Containerize Your Stack?

Build a robust, portable foundation with our Linux and Docker experts. Let's modernize your deployment pipeline today.

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verified Production Docker security Hardened Images speed High Availability

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Frequently asked questions

What are the benefits of containerizing our application with Docker? expand_more

Docker packages your application and its dependencies into one image that runs the same way on a laptop, a test server and production. That removes environment drift, speeds up onboarding and deployments, makes rollbacks simple, and lets you run more services on the same hardware than with traditional virtual machines.

Can you containerize a legacy application? expand_more

Yes, most legacy applications can be containerized. We assess dependencies, configuration and state, move settings into environment variables, keep data in volumes or managed databases, and build lean multi-stage images. Some apps need small code changes first, such as writing logs to standard output or removing hard-coded file paths.

Do we need Kubernetes, or is Docker Compose enough? expand_more

Docker Compose is enough for many single-server or small multi-container applications, development environments and internal tools. Kubernetes becomes worthwhile when you need automatic scaling, self-healing across several nodes, rolling releases without taking the service offline and many services managed by multiple teams. We often start with Compose and move to Kubernetes when the workload justifies it.

How do you secure Docker containers and Linux servers? expand_more

We use minimal, trusted base images, scan images for known vulnerabilities in the build pipeline, run containers as non-root users with only the capabilities they need, and keep secrets out of images. On the host we harden SSH, apply firewall rules and automatic security updates, and restrict access by least privilege.

Should we use Alpine-based images to keep them small? expand_more

Alpine images are small, but Alpine uses the musl C library instead of glibc, which can cause subtle compatibility or performance differences for some runtimes and native packages, such as Python wheels or Node.js native modules. Slim Debian-based or distroless images are often a safer default. We choose per application and test the result rather than optimising for image size alone.

How much does Docker and Linux DevOps work cost? expand_more

Cost depends on scope rather than a fixed price. The main drivers are the number of services to containerize, legacy complexity, the target environment such as a single server or a cloud platform, registry and CI/CD integration, security requirements and ongoing support. PixoBots quotes transparent, milestone-based pricing after a short discovery call.