DEVOPS & CI/CD SERVICES
Nala Networks helps development teams replace manual, inconsistent release processes with automated CI/CD pipelines, containerized environments and documented deployment workflows on AWS and Google Cloud.
When releases rely on undocumented commands, manually configured servers or a developer remembering every step, each deployment becomes a business risk.
A practical DevOps workflow makes changes repeatable, visible and easier to recover when something goes wrong.
We design DevOps and CI/CD systems that fit your application, team and existing Git workflow without introducing unnecessary tooling.
IS THIS YOUR TEAM?
If any of these describe your current situation, a structured DevOps engagement can reduce risk and improve reliability.
OUR DEVOPS SERVICES
We work with your existing Git workflow and cloud environment — adding automation, consistency and visibility without unnecessary tooling or process overhead.
CI/CD Pipeline Implementation
Automated pipelines from Git through testing, build and deployment — including source validation, container image creation, approval gates, production deployment, health verification and rollback.
Docker and Containerization
Package applications and their dependencies into consistent container images — Dockerfile development, multi-stage builds, image optimization, health checks, security improvements and registry integration.
Infrastructure as Code
Repeatable infrastructure configuration using Terraform or cloud-native templates — version-controlled, environment-specific, with change review workflows and infrastructure deployment pipelines.
Environment Design
Clear separation between development, staging and production — separate cloud resources, environment-specific configuration, database separation, access controls and release-promotion workflows.
Cloud Deployment Automation
Deployment workflows for AWS services (ECS, EKS, Lambda, EC2) and Google Cloud platforms (Cloud Run, GKE, Cloud Run functions, Compute Engine) tailored to your application and team.
Secrets and Configuration Management
Move passwords, API keys and service credentials out of source code — using AWS Secrets Manager, Google Secret Manager, workload identities and least-privilege service accounts.
Monitoring and Release Visibility
A deployment is not complete until the team can see whether it is working — application logging, error reporting, health checks, uptime monitoring, deployment tracking and alerting.
HOW IT WORKS
Every step is automated, documented and repeatable. No manual commands on production servers. No single person who holds the release process in their head.
Pipeline Sequence — Eight Steps
Work is completed in a Git branch and submitted through your normal review process.
Automated checks verify code quality, tests, dependencies and configuration.
The pipeline creates a deployable artifact or versioned container image.
The new release is deployed to a controlled staging environment for testing.
An authorized team member approves the production release when required.
The pipeline deploys the tested version using a consistent, documented process.
Automated checks confirm that the application is responding correctly after deployment.
If validation fails, the team can return to the previous working release.
WHAT YOU RECEIVE
Depending on scope, deliverables may include:
WHAT WE DEPLOY
These systems connect multiple services and handle important business data. Reliable deployment and monitoring are particularly important when a broken release affects live operations.
Enterprise AI & RAG Applications
AI systems, RAG pipelines and document-processing services that need reliable deployment, versioned model configurations and monitored inference environments.
Shopify and Ecommerce Applications
Custom Shopify apps, storefront APIs and ecommerce backends that need consistent staging environments and safe production releases.
APIs and Integration Services
Applications that connect ERP, CRM, warehousing and ecommerce systems — where a broken deployment can affect live business operations.
Automation Platforms
Workflow automation and document-processing services that run continuously and require zero-downtime deployment strategies.
Scheduled and Event-Driven Jobs
Background workers, data-synchronization services and scheduled jobs that require deployment consistency and operational monitoring.
Internal Business Applications
Internal tools, reporting systems and employee-facing applications that benefit from documented, repeatable release processes and clear environment separation.
Do we need Kubernetes?
Usually not. Kubernetes is valuable for certain workloads, but it adds operational complexity. Cloud Run, ECS, Fargate or other managed services may be better for smaller or less complex applications.
Can you improve our existing CI/CD pipeline?
Yes. We can review and improve an existing pipeline rather than replacing it entirely.
Which Git platforms can you work with?
We can design workflows around commonly used Git platforms and repositories. The implementation depends on your existing source-control and cloud environment.
Can you containerize a legacy application?
Often, yes. We first assess runtime dependencies, storage, sessions, scheduled tasks and database connectivity to determine whether containerization is appropriate.
Do you support both AWS and Google Cloud deployments?
Yes. We implement deployment workflows for applications running on AWS, Google Cloud and hybrid environments.
Can you create staging and production environments?
Yes. We can design environment separation, configuration management, access controls and release-promotion workflows.
Will our team be able to manage the pipeline?
That is the goal. We provide documentation and handover so the deployment process does not remain dependent on Nala Networks.
FIX YOUR DEPLOYMENT PROCESS
Stop Treating Every Deployment Like an Emergency
Tell us how your application is currently built and released. We can identify the highest-risk steps and create a more reliable deployment workflow.
