Delivering and scaling secure microservice-based products for any-cloud*

To scale securely across cloud environments, organizations must embrace microservices, containers, and fully automated DevSecOps pipelines.

In this webinar, Antonia Stevens, Principal DevOps Engineer at Security Compass, offers a deep dive into containerized application delivery, the implications for secure software deployment, and best practices for building scalable, secure, and compliant systems in hybrid and multi-cloud environments.

Why Containers and Microservices Matter

Containers solve long-standing compatibility issues by isolating application dependencies, enabling consistent and portable deployment.

  • Traditional software deployments faced problems with shared libraries and OS-level conflicts.

  • Virtual machines offered partial solutions but came with high overhead.

  • Containers use shared kernels and isolated userlands to run lightweight, reproducible environments.

  • This enables near-instant startup times and low resource usage.

What Are Microservices?

Microservices break monolithic applications into modular, independent components that scale and deploy independently.

  • Each microservice can run in its own container, avoiding conflicts.

  • Enables developers to use different languages, libraries, and versions per service.

  • Greatly improves agility, scalability, and resilience — especially for SaaS and CI/CD workflows.

Security Responsibilities Have Shifted

With containers, application vendors are now fully responsible for the security of the software stack, not just the code.

  • Developers must maintain, patch, and secure base images, binaries, and libraries.

  • Ops teams can no longer patch containers externally — security must be baked in from the start.

  • This requires full automation and rapid response capabilities.

Automate Everything or Risk Falling Behind

A fully automated build, test, and deployment pipeline is essential for container security and maintainability.

  • Static containers quickly become insecure due to unpatched vulnerabilities.

  • Organizations need continuous integration (CI) and continuous deployment (CD) pipelines.

  • Infrastructure should be reproducible on demand, with all assets version-controlled.

Binary Asset Management Best Practices

Secure container delivery depends on rigorous binary asset tracking, versioning, and provenance.

Best Practice Description
Version all binary assets Use a dedicated system (not Git) with deduplication for efficiency
Rebuild from source when needed Ensure full reproducibility in case of breaches or upstream unavailability
Verify and sign all assets Protect against tampering and establish the chain of custody
Host assets internally Avoid relying on third-party availability or trust assumptions

Secure Container Repositories and Pull Policies

Your container registry is a critical security boundary — treat it like production infrastructure.

  • Use private, authenticated registries whenever possible.

  • Avoid trusting unvetted public containers (e.g., from Docker Hub).

  • Configure pull policies to allow automated security patching, but control feature releases separately.

Infrastructure as Code (IaC) Is Non-Negotiable

All deployment environments must be defined and delivered as code, flexible, modular, and parameterized.

  • Avoid hardcoded credentials, static hostnames, or assumptions about the runtime environment.

  • Design IaC modules that can adapt to different customers, cloud providers, or air-gapped environments.

  • Use tools like Helm to package, version, and manage Kubernetes deployments cleanly.

Handle Secrets with Care

Improper handling of credentials during container builds can expose sensitive data even after deletion.

  • Don’t bake secrets into container layers — they can still be recovered.

  • Use runtime secret injection (e.g., Kubernetes secrets or vault solutions).

  • Separate build steps into containers when fetching assets that require authentication.

Off-Cloud and Offline Environments

Design your system to run in disconnected or highly secure networks from day one.

  • Self-host your container registry or support air-gapped image delivery.

  • Make no assumptions about internet access.

  • Prepare for government or high-assurance environments by avoiding vendor lock-in.

Tooling Considerations for Secure Microservices

Choose tools that fit your language stack, security posture, and development workflow.

Category Development Stack Fit Notes
Build & CI/CD GitLab CI, GitHub Actions Avoid Jenkins in container-native setups
Container Orchestration Kubernetes + Helm Use Helm v3+ for safe, flexible deployment
Local Dev Tools Docker Compose Fast feedback loops with hot-reloading for developers
Secret Management K8s Secrets, HashiCorp Vault Never store secrets in container layers

Common Pitfalls to Avoid

Mistakes in containerization and microservices often stem from rushed or misunderstood migrations.

  • Don’t “containerize” monoliths by dumping them into a single large container.

  • Don’t assume localhost databases or unencrypted network traffic.

  • Don’t trust third-party containers without thorough vetting and update guarantees.

Where to Start with Container Adoption?

Start small, build incrementally, and ensure every step includes security and automation.

  • Set up a container registry and automation pipeline.

  • Choose one manageable component to migrate.

  • Iterate, validate, and build from there — avoid the “big bang” re-architecture.

How to Motivate Teams for the Shift?

Start with pain points and small wins — then scale adoption once value is clear.

  • Ops teams are typically motivated by scalability and maintainability.

  • Dev teams may need education and gradual onboarding.

  • Target problem areas and introduce containerization as a better solution.

Final Thoughts

Security at scale requires rethinking everything — from architecture to tooling to team workflows.

Containers and microservices unlock powerful efficiencies, but only if backed by automation, secure practices, and clear processes. By treating infrastructure as code, managing binaries responsibly, and enforcing strong security throughout the pipeline, organizations can confidently scale in any cloud environment — whether SaaS, on-prem, or offline.