Real-Time Data Pipeline Accelerator

Production-grade streaming pipeline. 4 weeks. Fixed price.

Move from slow, unreliable batch processing to sub-second, observable, production-grade streaming — with full documentation and infrastructure-as-code you own.

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Your data pipeline is holding you back

Data arrives hours late — or not at all

Batch jobs and FTP transfers mean stale data, missed SLAs, and decisions made on yesterday’s information.

Peak volume crushes your pipeline

Batch processing can’t keep up. Throughput bottlenecks turn into cascading delays and dropped events.

No observability, silent failures

You find out about pipeline failures from your customers, not your dashboards. No alerts, no dead-letter queues, no confidence.

Core Offering

Real-Time Data Pipeline Accelerator

4-week engagement · $28,000 fixed price · Milestone-based payments

What You Get

  • Discovery & Requirements — 1 day of functional and non-functional requirements gathering
  • Architecture Blueprint — 2 days: diagram, tech-selection rationale, cost model
  • Implementation — 2 weeks: source connector, ingestion pipeline, enrichment, sink, IaC, CI/CD
  • Testing & Validation — 3 days: load test at 1.5× peak, latency benchmarks, failure injection
  • Handoff — 1 day: runbook, architecture doc, IaC repo, CI/CD pipeline, on-call training

Payment Structure

  • 30% on kickoff
  • 40% on architecture sign-off
  • 30% on handoff

Measurable Outcomes

Sub-second latency
Event-to-sink in line with your business SLA
Headroom proven
Load-tested at 1.5× your measured peak volume
Resilient delivery
Auto-retry, dead-letter queues, and replay built in
Full observability
Single-pane dashboard with SLA breach alerts

Specific targets — throughput, latency thresholds, SLA — defined together during Discovery.

Three ways to go real-time

Core Offering

Pipeline Accelerator

$28k — 4 weeks

Full production-grade streaming pipeline: ingestion, enrichment, sink, observability, IaC, and handoff. Move from batch to real-time in one sprint.

  • Kafka or Kinesis backbone
  • Source connector + sink
  • Enrichment / transformation
  • CloudWatch observability
  • Terraform / CloudFormation IaC
  • CI/CD pipeline included
  • Load testing at 1.5× peak
Assessment

Streaming Platform Blueprint

$8k — 2 weeks

Not ready for a full build? Get a definitive roadmap: stakeholder interviews, current-state audit, future architecture, tech-selection matrix, and cost model.

  • Stakeholder interviews
  • Current-state audit
  • Future-state architecture diagram
  • Tech-selection matrix
  • Rough 1-year cost model
  • Prioritized implementation roadmap
Optimization

Performance Optimization Sprint

$12k — 1 week

Already have a pipeline that’s too slow or unreliable? Profile bottlenecks, rewrite the critical path in Rust or optimized Java, and deliver before/after benchmarks.

  • Pipeline profiling & bottleneck ID
  • High-performance rewrite
  • Before/after benchmark report
  • Updated observability metrics
  • Deployed module + runbook

How the engagements flow together

1

Blueprint

Quick value, low commitment. Understand your landscape before building.

2

Accelerator

You’ve seen the roadmap — now build it. Production pipeline in 4 weeks.

3

Optimization Sprint

Post-launch, squeeze more performance. Measurable 10–100× gains.

The 4-week sprint

A proven, milestone-driven process that removes ambiguity and delivers on time.

Week 1 · Day 1

Discovery & Requirements

Functional & non-functional requirements: throughput, latency, cost, compliance.

Week 1 · Days 2–3

Architecture Blueprint

Diagram + tech-selection rationale (Kafka/Kinesis, Lambda/Fargate, Rust/Java, storage, IaC).

Weeks 2–3

Implementation

Source connector, ingestion pipeline, enrichment, sink, observability, IaC, CI/CD.

Week 4 · Days 1–3

Testing & Validation

Load test at 1.5× peak, latency/throughput benchmarks, failure injection.

Week 4 · Days 4–5

Handoff

Runbook, architecture doc, IaC repo, CI/CD pipeline, on-call engineer training.

What’s included — and what’s not

In Scope

  • One source system (API, DB CDC, vendor feed, or file drop)
  • One enrichment / transformation step
  • One sink (DynamoDB, PostgreSQL, Redshift, S3+Glue, or REST API)
  • Kafka or Kinesis as streaming backbone
  • Lambda or Fargate for stateless processing; Rust microservice if compute-heavy
  • Basic observability (CloudWatch metrics, structured logs, DLQ alerts)
  • IaC (Terraform or CloudFormation) for all resources
  • CI/CD pipeline (GitHub Actions or CodePipeline)
  • Load test at 1.5× expected peak volume
  • Runbook, architecture doc, and 1-hour walkthrough

Out of Scope

  • Additional data sources ($5–$8k each)
  • ML model training / deployment
  • UI / dashboard development
  • 24/7 production support (hourly retainers available)
  • Data governance / compliance audit
  • Multi-region HA / disaster recovery (add-on available)

Ready to go real-time?

Book a free 30-minute discovery call. No commitment, no pressure — just a conversation about your data challenges.

Book a Discovery Call