DevOps & Platform Engineering
Automate Delivery. Engineer Reliability.
- CI/CD & GitOps
- Kubernetes platforms
- Infrastructure as code
- SRE & observability
Overview
DevOps & Platform Engineering at Assistora
High-performing engineering teams deploy frequently, recover quickly and spend their time on product work rather than manual releases. That outcome depends on a well-designed delivery system: consistent pipelines, reproducible infrastructure, paved paths for developers and clear operational signals.
Assistora designs and implements that system end to end. We start from your current workflow, remove friction one constraint at a time, and leave behind a platform your teams understand, own and can extend.
Business challenges
The problems we help you solve.
- 01
Slow, risky releases
Manual steps and long-lived branches make deployments infrequent, stressful and error-prone.
- 02
Environment drift
Differences between development, staging and production cause bugs that only appear after release.
- 03
Operational blind spots
Without useful telemetry, incidents are detected by customers and diagnosed by guesswork.
- 04
Security left until the end
Vulnerabilities and misconfigurations are discovered late, when they are most expensive to fix.
Capabilities
What we deliver.
CI/CD Automation
Fast, cached pipelines with automated testing, artefact management, progressive delivery and one-click rollback.
Docker & Containerisation
Secure, minimal container images, multi-stage builds, image signing and registry governance.
Kubernetes
Production-grade clusters on EKS, GKE, AKS or self-managed, with autoscaling, policy, secrets and multi-tenancy designed in.
Terraform
Modular, versioned Terraform with remote state, policy checks and automated plans on every pull request.
GitOps
Declarative delivery with Argo CD or Flux so the state of every environment is visible, auditable and reversible in Git.
Infrastructure as Code
Every network, cluster, database and permission defined as reviewed code — reproducible across environments and regions.
DevSecOps
Dependency, container and IaC scanning, secrets detection and supply-chain controls built into the pipeline — not bolted on.
Site Reliability Engineering
Service-level objectives, error budgets, incident response practice and blameless post-incident reviews.
Observability
Unified metrics, logs and traces with OpenTelemetry, Prometheus and Grafana, wired to meaningful alerts.
Deployment Automation
Blue-green, canary and feature-flag driven releases that reduce risk and make deploying a non-event.
Platform Engineering
Internal developer platforms with golden paths, templates and self-service environments that remove repeated toil.
Interactive pipeline
Every commit, from repository to production.
Stage 01 · Code Repository
Trunk-based development, pull-request checks and signed commits trigger every pipeline run.
Select any stage to explore it.
Platforms & technologies
The stack we work with.
CI/CD
- GitHub Actions
- GitLab CI
- Jenkins
- Azure DevOps
- Cloud Build
Containers & orchestration
- Docker
- Kubernetes
- Helm
- Argo CD
- Flux
Infrastructure as code
- Terraform
- OpenTofu
- Ansible
- Pulumi
- Crossplane
Observability & security
- Prometheus
- Grafana
- OpenTelemetry
- Trivy
- Vault
Typical solutions
Where clients usually start.
- 01
Pipeline modernisation
Replace brittle build scripts with standardised, reusable pipelines across all repositories.
- 02
Kubernetes platform
A secure, multi-tenant Kubernetes platform with GitOps delivery and self-service namespaces.
- 03
Reliability programme
Introduce SLOs, on-call practice and observability for the services that matter most.
- 04
Internal developer platform
Golden-path templates that let teams create production-ready services in minutes.
Delivery process
How we deliver.
- 01
Discover
Workshops and technical discovery to understand goals, constraints, current systems and success measures.
- 02
Measure the baseline
Map the value stream and capture delivery metrics such as lead time, deployment frequency and change failure rate.
- 03
Design the platform
Define target pipelines, environments, branching strategy and platform boundaries.
- 04
Automate incrementally
Roll out improvements service by service, proving value early and avoiding big-bang change.
- 05
Enable & hand over
Document golden paths, pair with your engineers and leave the platform in your team's hands.
Business benefits
What it means for your business.
More frequent releases
Small, automated deployments replace large, risky release events.
Fewer incidents
Consistent environments and progressive delivery reduce change failures.
Faster recovery
Observability and rollback automation shorten time to restore service.
Happier engineers
Less toil and clearer paths mean more time spent building product.
Relevant industries
Applied across sectors.
- Startups & SaaSEngineering capacity and cloud expertise to launch, scale and harden SaaS products.
- TelecommunicationsScalable platforms, automation and data for network operators and communications providers.
- Financial ServicesSecure, compliant and resilient platforms for banking, payments, lending, insurance and fintech.
- E-commerceFast, scalable commerce experiences and the data and infrastructure behind them.
FAQs
DevOps questions, answered.
Not always. For many workloads, managed services such as Cloud Run, App Service or ECS are simpler and cheaper. We recommend Kubernetes when its flexibility and ecosystem genuinely justify the operational investment.
Yes. We usually evolve existing tooling — standardising, speeding up and securing what you have — and only recommend new tools when there is a clear gain.
We use the widely adopted DORA metrics — deployment frequency, lead time for changes, change failure rate and time to restore service — alongside team feedback.
That is a design goal. We favour well-supported open standards, document every decision and pair with your engineers throughout delivery.
Related services
Often delivered together.
Cloud & Infrastructure
Cloud Computing
Design, migrate and operate secure, cost-efficient cloud environments across AWS, Google Cloud and Microsoft Azure.
- AWS
- Google Cloud
- Microsoft Azure
Software Engineering
Quality Engineering
Automated testing and quality strategy that give teams confidence to release frequently.
- Playwright
- Cypress
- Selenium
Security & Consulting
Cybersecurity
Security engineered into cloud, applications and delivery pipelines — from assessments to zero-trust architecture.
- AWS Security Hub
- GuardDuty
- Security Command Center
Ready to talk devops & platform engineering?
Share your goals and constraints. An Assistora engineer will respond with practical next steps.
