Building and managing Kubernetes on your own is powerful — but also complex, time-consuming, and expensive.
ATPL’s platform eliminates the operational burden so you can focus on your product, not on infrastructure.

With ATPL, you get:

• Fully managed Kubernetes clusters (setup, updates, scaling, security handled for you).

• Pre-configured CI/CD pipeline for automated deployments.

• Optimized cloud resources to reduce costs vs. DIY deployments.

• Built-in monitoring, logging, and alerting — no extra setup required.

• Production-grade security & high availability from day one.

• Staging + production environments included for safe testing.

• 24×7 support from cloud engineers.

In short:
You get enterprise-grade cloud infrastructure without the need to master Kubernetes, DevOps, security, or cloud architecture yourself.

ATPL currently deploys workloads on AWS, with support for multiple regions to ensure low latency and high availability.

You can choose where you want your applications hosted, including popular AWS regions across India, Asia-Pacific, Europe, and North America.

Additional cloud providers (Google Cloud, Azure) can be added based on customer requirements.

ATPL supports almost any application that can run in containers, including:

• CMS platforms — WordPress, Drupal, Joomla, Magento, Ghost

• Custom web applications — Node.js, Django, Laravel, Ruby on Rails, Go, Java

• Microservices applications using APIs

• Static sites — Next.js, Gatsby, Nuxt, React, Vue, Svelte

• E-commerce systems

• API backends, dashboards, internal tools, and more

Whether it’s a simple website or a large distributed application, ATPL’s Kubernetes platform is optimized to deploy and scale it efficiently.

ATPL provides a fully automated CI/CD pipeline that deploys your application from code to production with zero manual steps.

Our deployment workflow includes:

• Git-based triggers (GitHub, GitLab, Bitbucket)

• Automated build & containerization

• Image scanning for vulnerabilities

• Automated deployment to staging

• One-click promotion to production

• Rollback support if something goes wrong

You focus on writing code — ATPL handles the build, deploy, and release pipeline.

Not necessarily.

ATPL provides automatic containerization support for most common frameworks and languages.

Two ways to deploy:

1. Bring your own Dockerfile

If you already have a containerized app, you can deploy it directly.

2. No Dockerfile? ATPL will create one for you

For supported stacks (Node.js, Python, PHP, Java, Go, Ruby), ATPL auto-detects your code and packages it into container images.

You don’t need deep DevOps knowledge — ATPL handles it for you.

Yes. ATPL supports automatic horizontal scaling and vertical scaling based on real-time metrics.

Auto-scaling triggers include:

• CPU usage

• Memory usage

• Request load

• Queue length

• Custom metrics (optional)

Built-in scaling benefits:

• Scale-out during peak traffic

• Scale-in during low traffic

• Reduce cloud costs automatically

• Zero-downtime scaling

Your application always stays responsive, no matter the load.

ATPL fully manages your Kubernetes control plane and infrastructure, so you don’t have to.

ATPL handles:

• Cluster setup, upgrades, and patching

• Node scaling (auto + manual)

• Security hardening & access control

• Monitoring, logging & alerting

• Backups & recovery

• Network configuration & load balancing

You handle:

• Your application code

• Your environment variables / secrets

• Your deployment configurations (optional)

• Any CI/CD triggers or workflows

You focus on building — ATPL handles the entire platform.

As our valuable and esteemed customer, we take care of everything in the background for deploying your application on the cloud. YOU just provide us with a working application.

Yes. ATPL can host anything from a simple website to a fully distributed enterprise application.

Popular options include:

• WordPress, Joomla, Magento, Drupal

• Static websites (Next.js, Gatsby, Nuxt, React, Vue)

• E-commerce platforms

• Custom business websites

• Landing pages & marketing sites

If it runs in a container, you can host it on ATPL.

ATPL supports automatic and manual scaling.

Automatic Scaling (Recommended)

Auto-scaling reacts to live traffic and adjusts the number of pods using:

• CPU/Memory thresholds

• Incoming requests per second

• Queue workload

• Custom Prometheus metrics

This ensures cost-efficiency and high performance.

Manual Scaling

You can manually set minimum and maximum pod counts at any time through the ATPL dashboard.

ATPL follows a monthly subscription model based on usage.

Your subscription includes:

• Managed Kubernetes clusters

• CI/CD pipeline

• Monitoring, logging & alerting

• Security & compliance

• Staging + production environments

• Cloud resource optimization

• 24×7 engineering support

Additional usage-based billing:

• Compute resources (vCPU, RAM)

• Storage

• Bandwidth

• Optional add-ons (premium security, dedicated clusters, enterprise SLAs)

No hidden fees — your dashboard shows live usage and estimated monthly cost.

Yes — to run on ATPL’s platform, applications must be containerized.
If your application is not yet in containers, we provide:

• Containerization support

• Dockerfile creation

• Best-practice guidance for microservices

• Packaging for CMS platforms like WordPress, Drupal, Magento

• Optional assisted onboarding (ATPL engineers help prepare your app)

Whether you have a legacy codebase or a modern framework, our team ensures it runs seamlessly in Kubernetes.

You can choose either:

Option A — You containerize it

If you already use Docker or have CI/CD pipelines, you can push your own container images directly.

Option B — ATPL containerizes it for you

Our engineers help with:

• Dockerfile creation

• Dependency packaging

• Environment setup (PHP, Node.js, Python, Java, Go, etc.)

• Database connectivity

• Security best practices

• Build pipeline setup

This is ideal for businesses migrating from shared hosting, cPanel, or VMs.

No AWS or Kubernetes experience is required.

ATPL offers a simplified deployment workflow:

• Git-based deployments (push to deploy)

• Pre-configured CI/CD pipelines

• Framework-optimized templates

• Guided onboarding

• 24×7 engineering support

You focus on your application — ATPL handles all underlying cloud complexity.

ATPL supports multiple deployment methods:

1. Git Push Deployments (Recommended)

Connect GitHub, GitLab, or Bitbucket — deployments occur automatically on every push.

2. Container Registry Deployments

Push your Docker images to:

• Amazon ECR

• GitHub Container Registry

• Docker Hub

• GitLab Registry
  ATPL pulls and deploys them seamlessly.

3. Manual Uploads (for specific apps)

Upload application packages for CMS platforms or static sites.

4. CI/CD Integration

Use existing pipelines from GitHub Actions, GitLab CI, Jenkins, or Bitbucket Pipelines.

Every deployment automatically updates your pods with zero downtime.

Yes — you have full control over scaling.

Automatic Scaling

Your application scales automatically using:

• CPU/Memory usage

• Traffic/load

• Custom metrics

• Queue depth

• API request rates

Manual Scaling

You can manually specify:

• Minimum pod count

• Maximum pod count

• Reserved capacity for high-traffic events

• Scheduled scaling (up/down based on time)

ATPL ensures smooth scaling without downtime.

ATPL follows enterprise-grade, multi-layered security practices, including:

Platform Security

• Isolated Kubernetes namespaces per customer

• Encrypted communication (mTLS, HTTPS, TLS 1.3)

• Network policies restricting pod-level access

• Role-Based Access Control (RBAC)

• Automated patching of OS, nodes, and clusters

Data Security

• Encrypted storage (EBS, RDS, S3)

• Automated daily backups

• Optional cross-region backup retention

• Secret management (HashiCorp Vault / AWS Secrets Manager)

Application Security

• Web Application Firewall (WAF)

• Bot protection

• DDoS protection

• Image scanning for vulnerabilities

Security is handled by ATPL, ensuring your apps stay protected without DevSecOps overhead.

ATPL provides smart auto-scaling at both application and cluster levels:

Pod Autoscaling

Your application automatically scales based on metrics like:

• CPU usage

• Memory usage

• Concurrent requests

• Custom metrics (API latency, queue depth)

Horizontal Pod Autoscaler (HPA) ensures your app scales up under load and scales down to save money.

Cluster Autoscaling

If the workload exceeds node capacity, ATPL:

• Adds new nodes automatically

• Distributes workloads

• Removes unused nodes during low traffic

Autoscaling ensures performance without manual intervention and optimizes cost.

ATPL includes fully managed observability out of the box:

Monitoring

• Real-time CPU, memory, network metrics

• Pod health checks

• Autoscaling triggers

• Uptime & availability dashboards

• Alerting via Slack, Email, SMS

Logging

• Centralized logs for all containers

• Structured logs (JSON)

• Searchable log archive

• Error tracking & anomaly detection

Tracing (Optional)

• Distributed tracing (Jaeger / AWS X-Ray)

• Microservice call-level insights

This gives you deep visibility into your application — without needing to set up any monitoring tools yourself.

Yes — ATPL is optimized for microservices.

We provide first-class support for:

• Multi-service deployments

• Independent scaling per microservice

• API gateway routing

• Internal service-to-service communication

• Distributed logging & tracing

• Versioned deployments

• Canary releases & blue/green rollouts

• Horizontal autoscaling for individual services

ATPL’s architecture is built to support complex microservice ecosystems, whether small or enterprise-level.

Yes — we fully support modern and large-scale e-commerce workloads.

Supported e-commerce setups:

• WooCommerce

• Magento 2

• Shopify Hydrogen / headless storefronts

• Custom-built Node.js / Laravel / Django commerce apps

• Payment gateway integrations

• Inventory management systems

• High-traffic flash-sale websites

E-commerce benefits on ATPL:

• Auto-scaling pods during high-traffic events

• Optimized caching (Redis + CDN)

• Multi-zone high availability

• Database performance tuning

• Secure checkout (WAF, SSL, bot protection)

• 24×7 uptime monitoring

Whether you’re selling 100 or 100,000+ products, ATPL can handle your traffic with cloud-native performance.

No. There is no long-term lock-in.

ATPL operates on a flexible monthly billing model, and you are free to stop using the service at any time.

We believe in delivering value — not tying you down with contracts.

There is no minimum commitment.

You can:

• Use the platform month-to-month

• Scale up or down anytime

• Pause or discontinue services without penalties

This gives you complete freedom as your business evolves.

If you ever feel the platform isn’t delivering value:

1. Let us know — we do a full technical review
   Our engineers check performance, scaling, cost, CI/CD, and security gaps.
2. We work with you to fix any issues
   Often the solution is simple (configuration, scaling, deployment optimization).
3. If you still prefer to move away, we help you exit smoothly
   Including container export, database backups, DNS guidance, and migration assistance.

No obstacles, no friction — your success and satisfaction come first.

You simply contact ATPL support — we take it from there.

We will:

• Diagnose the issue (logs, build errors, configs, environment variables)

• Fix deployment-related problems

• Assist in debugging runtime issues

• Re-deploy your application correctly

• Coordinate with your developers if needed

Our team is available 24×7 for production-impacting issues.

ATPL uses a simple, transparent pricing model with no hidden charges.

You pay only for:

1. Cloud infrastructure costs
   (AWS compute, storage, networking, Load-Balancers, CDN, etc)
2. ATPL’s platform & management fee

   This covers:

   • Fully managed Kubernetes clusters

   • CI/CD pipeline setup

   • Monitoring, logging, alerting

   • 24×7 support

   • Security & maintenance

There is no markup on cloud resources, no long-term commitments, and no surprise billing.

Your total cost = Cloud Usage + Platform Fee, making it predictable and easy to budget.