tech stack

Focus on data, automation, and scalable infrastructure.

by gpt

Great — you’re building a logistics platform similar to Shiprocket, where:

• You fetch orders from platforms like Shopify

• Sellers assign courier partners

• You track and update delivery statuses

• The entire system is API-driven

To scale, stay reliable, and be future-proof, here's a recommended full-stack tech architecture — both core and supporting tools — that companies like Shiprocket or Delhivery would follow at scale.

---

🚀 Tech Stack for a Scalable Logistics Platform

✅ 1. Core Application Stack

Layer	Tech	Why
Frontend	Next.js + Tailwind CSS	SEO-friendly, fast UI, modern stack
Backend	Node.js (Express/Fastify) / Rust / Go	Scalable, async, API-friendly
API Gateway	Kong / Envoy / NGINX	Rate limiting, logging, security
Database	PostgreSQL	Strong relational model, ACID
Cache	Redis	Speed up order & courier lookups
Search	Elasticsearch	For fast order/courier search

---

✅ 2. Messaging / Event System (Must-Have)

Tool	Use Case
Kafka	Event-driven order updates, async tracking, status pipelines
RabbitMQ	Good for simpler or smaller scale use

📌 Example: Shopify order received → pushed to Kafka → worker updates DB & calls courier API

---

✅ 3. Microservices & Containerization

Tool	Role
Docker	Containerization of all services
Kubernetes	Orchestration, scaling, deployment
Helm	Manage k8s configs via charts

---

✅ 4. Reliability & Observability (SRE Stack)

Tool	Purpose
Prometheus	Collect metrics (latency, errors)
Grafana	Dashboards, SLO/SLA visibility
Loki	Log aggregation
Alertmanager	Alert on errors, burn rate
Tempo	Tracing (optional but helpful)

---

✅ 5. Queue/Retry/Workflow Management

Tool	Use Case
Celery (Python) / BullMQ (Node.js)	Retry logic, async jobs
Temporal / Airflow	If you need order processing workflows

---

✅ 6. CI/CD & Infra

Tool	Purpose
GitHub Actions / GitLab CI	Build, test, deploy pipelines
Terraform	Infra as code (AWS, VPC, EKS)
ArgoCD	GitOps deployment in Kubernetes
SOPS + Sealed Secrets	Secure secrets in Git

---

✅ 7. 3rd-Party Integrations & Courier APIs

• Shopify, WooCommerce, Magento APIs

• Delhivery, BlueDart, Shiprocket, DTDC APIs

• Webhook system to sync external updates

• Use API adapter microservices to isolate logic

---

🔐 8. Security / Auth

Tool	Use Case
Keycloak	OAuth2 + SSO for sellers
JWT	Token-based API auth
Rate limiting	Protect API abuse

---

📦 Example Architecture (Simplified):

                         +---------------------+
                         |  Next.js Frontend   |
                         +----------+----------+
                                    |
                          [API Gateway / Ingress]
                                    |
        +-------------+------------+-------------+---------------+
        |             |                          |               |
 [Order API]   [Courier API]            [Webhook Receiver]   [Auth Service]
    |              |                           |                  |
    |       +------v------+           +--------v------+           |
    |       | Kafka Queue |           | Kafka Queue   |           |
    |       +------+------|           +--------+------+           |
    |              |                           |                  |
    |        [Worker Pods / Microservices for async updates]      |
    +-------------------------------------------------------------+
                                    |
                             [PostgreSQL + Redis]
                                    |
                          [Prometheus / Grafana / Loki]

---

🏁 Hosting Options

• AWS (ideal): EKS, RDS, S3, MSK (Kafka), CloudWatch

• GCP or DigitalOcean if you're starting smaller

• Use Cloudflare or API Gateway to secure traffic and add WAF/rate-limiting

---

💡 Final Tips to Compete with Shiprocket

Strategy	Tip
📈 Scalability	Use Kafka + K8s for async and scale
📊 Visibility (SLOs)	Set per-API reliability targets
🚀 Performance	Optimize cold-start latency
🔁 Retry Logic	Build proper DLQs, retries, webhook fallback
🧾 Seller UX	Fast & clean dashboard using Next.js
🔐 Security	Rate-limit APIs, secure webhooks

---

Would you like me to:

• Design a sample Kubernetes architecture YAML

• Draft SLOs for your logistics APIs

• Or help you pick between Kafka vs RabbitMQ for your use case?

Let me know!

can i add in my resume

apache superset, clickhouse, airbyte, snowflake, eelasticsearch, postgres

, AI, automation - sales closing - n8n,

infra automation - ansble, terraform

shopify store automation

Git, GitHub, GitHub Actions, Docker, Docker Compose, Kubernetes, Helm, ArgoCD, Terraform, Ansible, Python, Node.js

Real time

Search Indexes

• Products are indexed in Elasticsearch → supports filters (“red shoes under ₹1000”), fuzzy matches, autocomplete.

• Much faster than running LIKE '%shoes%' queries in SQL.

Sales closing

n8n + evolution api

ECOMMERCCE/LOGISTICS

Data Warehouse (Snowflake / BigQuery / Redshift / ClickHouse):

BI / Visualization Tool (Superset, Looker, Power BI, Tableau, Metabase):

ETL Pipeline (Airbyte, AWS Glue, fivetran)

Databases (MySQL, PostgreSQL, Oracle)