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Distributed systems architecture consulting for High-Level Design (HLD), Low-Level Design (LLD) patterns, Apache Kafka, Redis, ScyllaDB & AWS.
Direct Answer Summary
Rohini provides hands-on system architecture and distributed systems consulting for growing engineering teams and high-traffic platforms. We design and audit High-Level (HLD) and Low-Level (LLD) architectures—covering Apache Kafka event pipelines, Redis caching and rate limiting, ScyllaDB wide-column modeling, Kubernetes orchestration, and AWS multi-AZ security—eliminating bottlenecks before they cause outages.
Messaging
Apache Kafka
Partitioned event streams, DLQs & exactly-once semantics.
Data & Cache
Redis + ScyllaDB
Sub-ms Lua rate limiters & shard-per-core NoSQL.
Orchestration
K8s + AWS
EKS/ECS multi-AZ VPCs with zero-downtime rollouts.
Starting From
₹35,000
Architecture blueprint, load audit, or embedded advisory.
We profile p95/p99 latencies, connection pool saturation, N+1 queries, and single points of failure under realistic peak load.
Asynchronous Kafka/SQS pipelines and Redis stampede-protected caches isolate slow downstream services from user-facing APIs.
Right-sized PostgreSQL indexing/sharding or ScyllaDB partition key design ensures linear horizontal scalability.
Terraform-managed multi-AZ VPCs, least-privilege IAM, automated failover drills, and RPO/RTO-backed backup verification.
| Layer | Technologies | Architectural Rationale | Production Guarantee |
|---|---|---|---|
| Event Streaming | Apache Kafka, Debezium CDC, RabbitMQ / SQS | Durable decoupling & replayable event logs | At-least-once / EOS |
| Caching & Limits | Redis Cluster, Lua Scripts, Singleflight | Atomic distributed rate limiting & hot-read offload | < 2ms cache hit p99 |
| Databases | PostgreSQL, ScyllaDB, ClickHouse | Workload-matched OLTP, high-write NoSQL & OLAP | Zero hot partitions |
| Cloud & K8s | AWS (VPC, EKS, ECS, RDS), Docker, Terraform | Reproducible infra & horizontal pod autoscaling | Zero-downtime deploys |
| Scenario | Core Requirement | Delivered System | Outcome |
|---|---|---|---|
| Scaling Pain & Timeouts | Fix API slowdowns at 10x traffic growth | Read replicas + Redis caching + async queues | 70%+ p99 latency drop |
| High-Volume Event Ingestion | Process 50k+ telemetry/webhook events/sec | Kafka partitions + ScyllaDB wide-column store | Linear horizontal scale |
| SOC2 / Cloud Hardening | Private subnets, IAM least privilege, DR | Multi-AZ AWS VPC + Terraform + Secrets Manager | Audit-ready cloud posture |
You receive HLD/LLD diagrams, database schema & partition plans, bottleneck findings, cost-optimization steps, and optional hands-on implementation.
Yes. Right-sizing compute, optimizing NAT/data transfer, and tuning caching/autoscaling typically cuts cloud waste by 25–45%.
Yes. We collaborate via PR reviews, architecture decision records (ADRs), and pair-programming on critical paths.
Tailored Project Scoping
Share your requirements and our engineers will respond within 24 hours with architecture notes, timeline, and a practical estimate.
