Deploy

Deploy YourApplication with A8S

Deploy your application with Autonomous ISTAD A8S through one focused workspace that builds, ships, verifies, and monitors every release from one place.

Project Deployment
Project Deployment
Release Flow

From Code to Production

Just only 4 steps

The power of A8S. One click everything is deploy.

1

Import your repo

Connect GitHub or GitLab and let A8S read the project shape.

2

Configure

Set environment values, domains, and runtime settings before release.

3

Deploy to A8S

Build, test, and ship the release through one guided deployment flow.

4

Monitor

Check logs, health, and release signals after the deployment finishes.

Deployment Types

Deploy the shape your product actually needs

From one service to multi-service platforms and database-backed workloads, A8S gives each release the right path to production.

01
Monolithic DeploymentDeployment profile
02
Microservices DeploymentDeployment profile
03
Single Database DeploymentDeployment profile
04
Database Cluster DeploymentDeployment profile
01

Monolithic Deployment

Deployment profile

Single app, one Docker image, and one Kubernetes Deployment for the fastest clean release path.

Runtime shape

One image, one Deployment, and one Service keep the runtime simple and easy to reason about.

Release path

The pipeline builds once, ships once, and promotes one clean artifact through the environments.

Best for

Internal tools, MVPs, back-office apps, and focused products that need speed without platform overhead.

Operations

Lower operational complexity, simpler observability, easier rollback, and less config fragmentation.

What this setup gives you
1 Docker image
1 Kubernetes Deployment
Great for internal tools, MVPs, and focused products
02

Microservices Deployment

Deployment profile

Ship each service independently with separate images, Deployments, and Services across the platform.

Runtime shape

Each service keeps its own image, Deployment, Service, and scaling rules across the cluster.

Release path

Teams can deploy, roll back, or promote one service without blocking the rest of the application stack.

Best for

Growing products, multi-team systems, APIs with separate release cycles, and platforms with clear boundaries.

Operations

Better ownership, safer partial rollouts, service-level monitoring, and cleaner infrastructure isolation.

What this setup gives you
Separate images per service
Independent rollout and scaling
Cleaner ownership for growing systems
03

Single Database Deployment

Deployment profile

Run one database instance for simpler environments where fast setup and straightforward state management matter most.

Runtime shape

One database instance runs as a simpler stateful workload with persistent storage and a smaller operational footprint.

Release path

Deploy it beside the application in the same pipeline when you need fast environment setup without cluster overhead.

Best for

Development, staging, demos, internal systems, and products that do not need replicas or failover yet.

Operations

Lower complexity, easier backup planning, simpler troubleshooting, and less infrastructure to manage day to day.

What this setup gives you
Single instance for dev or staging
Simple stateful setup with PVC
Secure credentials injected at runtime
04

Database Cluster Deployment

Deployment profile

Run a high-availability database cluster with replicas and failover when uptime, resilience, and safer scale matter more.

Runtime shape

Multiple replicas run as a protected clustered topology with persistent volumes, stable networking, and failover handling.

Release path

Deploy database clusters as part of the platform flow while keeping topology, secrets, and health checks aligned.

Best for

Production environments, critical applications, shared platform data services, and workloads that need stronger resilience.

Operations

Better availability, safer maintenance posture, replica-aware scaling, and stronger recovery options for stateful services.

What this setup gives you
HA cluster with replicas + failover
StatefulSets with persistent volumes
Built for production-ready database resilience
Core Capabilities

Everything after the commit is already covered

A8S handles build, release control, security, traffic, and runtime operations in one deployment layer.

One-click deployment

Pick the target environment and let A8S build, push, and deploy in one fast flow.

Build -> Push -> Deploy
Select dev / staging / prod
Real-time deployment logs

Git integration + auto build

Webhook-based automation can trigger the full deployment pipeline the moment code lands.

Pull code from the repo
Build app + Docker image
Tag versions automatically

Redeploy and rollback

Re-run the last successful image or return to a previous release without rebuilding.

Redeploy without new code
Instant rollback to known good versions
Recorded in release history

Secrets and config

Environment config stays structured while secrets are injected safely at runtime.

Vault secret injection
ConfigMaps per environment
No secrets stored in code

Kubernetes deployment handling

A8S creates and manages the core runtime resources for each release automatically.

Deployment / StatefulSet / Service
Rolling updates + health checks
Auto scaling with HPA

Domains, HTTPS, and databases

Ship traffic and data services together without extra platform glue work.

Ingress + TLS + HTTPS redirect
Database deployment integration
PVC and HA database support
GitOps Flow

Git remains the source of truth from push to production

Helm, ArgoCD, environments, and health checks stay aligned so every release is predictable.

1

Push

Push code or merge a PR to trigger the release workflow.

2

Build + Tag

A8S builds the app, builds the image, and tags the release version.

3

Helm + GitOps

Helm charts define the release while Git stores the desired state.

4

ArgoCD Sync

ArgoCD syncs the cluster, corrects drift, and reports status in the UI.

5

Verify

Health checks, rollout status, and live logs confirm the deployment.

Helm + ArgoCD automation

Deployments are driven by Helm charts, Git stays the source of truth, and ArgoCD keeps the cluster aligned automatically.

Auto sync
Drift correction
Sync status in UI

Environment-based deployment

Each environment keeps its own config, secrets, and rollout posture while sharing one clean delivery flow.

Dev

Fast feedback, simple database setup, and safe iteration for active work.

Staging

Production-like validation with real configs, observability, and release checks.

Prod

Stable runtime, HTTPS routing, health checks, HPA, and rollback-ready releases.

Live Logs

View logs

You can see all log on the deploy

Deployment output
deploy