Services
Kafka & Spark Streaming Services

Kafka & Spark Streaming Services in the USA

Stralya designs, builds, and operates Kafka & Spark Streaming architectures that turn your data into real-time decisions. From event-driven web platforms and ecommerce sites to mission-critical dashboards, we take full ownership of your streaming pipeline – from design to production and long-term reliability.

Service scope

What Our Kafka & Spark Streaming Service Includes

Stralya’s Kafka & Spark Streaming service is designed for organisations that treat data as a strategic asset. Whether you are launching a new real-time platform, scaling an ecommerce site, or upgrading an existing system, we provide a complete, end-to-end service that connects your web applications, databases, and analytics in a single, coherent streaming architecture.

Core components we design and deliver

Kafka cluster design, sizing, and configuration (self-managed or cloud-managed).

Topic, partition, and retention strategies aligned with your data, ecommerce, and compliance needs.

Producers and consumers integrated with your web applications, APIs, microservices, and ecommerce engines.

Spark Streaming or Structured Streaming jobs for aggregation, enrichment, and analytics.

Schema registry setup and governance for safe data evolution over time.

Connectors to databases, data warehouses, data lakes, and third-party systems.

Monitoring, logging, and alerting dashboards for full observability of the streaming layer.

Disaster recovery, backup, and failover strategies tailored to your risk appetite.

Security hardening: authentication, authorisation, encryption, and network isolation.

Documentation, runbooks, and knowledge transfer to your internal teams.

Optional add-ons and accelerators

Real-time analytics dashboards for business and operations teams.

Event-driven microservices design for new or existing web and ecommerce platforms.

Migration from legacy batch ETL to streaming-first architectures.

Migration from legacy batch ETL to streaming-first architectures supporting modern web and ecommerce use cases.

On-call support and SLA-based maintenance for production streaming systems.

Architecture reviews and coaching for in-house engineering and data teams.

Each engagement is scoped to your context: your cloud provider, your traffic profile, your compliance constraints, and your internal capabilities. Our fixed-price model gives you clarity on effort and outcomes, while our long-term partnership mindset ensures your streaming platform keeps pace with your ambitions across the US digital and ecommerce market.

Designed for Ambitious Digital Teams in the USA

Aligned with your strategic objectives

We start from your business goals – faster decision-making, better user experience, or operational automation – and design Kafka & Spark Streaming solutions that directly support those outcomes across your web and ecommerce properties.

Built for demanding web experiences

Whether you run one of the best real estate websites in your market, a high-traffic ecommerce store, or a corporate portal, we ensure your streaming layer can sustain growth without sacrificing performance or stability.

Suitable for startups, enterprises, and government

From venture-backed startups to large enterprises and public-sector organisations, we adapt our processes, documentation, and governance to your environment while maintaining our engineering standards.

A long-term, accountable partner

We do not disappear after delivery. Stralya is built on reliability, commitment, and trust – staying beside you as your streaming needs evolve and your digital and ecommerce footprint expands across the US and beyond.

How we work

A Structured, Fixed-Price Approach to Streaming Projects

Every Kafka & Spark Streaming engagement at Stralya is run like a strategic product, not a technical experiment. We work on a fixed-price, clearly scoped basis whenever possible, so your team knows exactly what will be delivered, when, and under which conditions. For highly specialised needs, we can complement your internal team with senior-only experts who understand modern web and ecommerce environments.

We start by understanding your business flows, data sources, and latency requirements. Together with your CTO, product, or data teams, we map the events, topics, and consumers that matter: from user activity on your website or ecommerce store to back-office operations and external integrations.

We design a target architecture using Kafka, Spark Streaming (or Structured Streaming), and complementary services such as schema registries, connectors, and data sinks. We align this with your chosen cloud provider (AWS, Azure, GCP) and your security and compliance constraints, making sure it fits seamlessly with your broader web and ecommerce stack.

Our engineers implement producers, consumers, streaming jobs, and data models with a strong focus on idempotency, back-pressure management, and fault tolerance. We load-test the pipeline, tune configuration, and validate behaviour under realistic large-scale US traffic conditions and peak ecommerce demand.

We containerise and deploy your streaming components using modern DevOps practices. We implement dashboards, alerts, and runbooks so your teams know exactly how to operate, observe, and troubleshoot the system in production – across your web properties, APIs, and ecommerce platforms.

Once in production, we can stay as your long-term partner, improving throughput, reducing costs, adding new data products, and supporting new business lines – without compromising on stability or security. As your digital and ecommerce footprint grows, we evolve the streaming layer to keep pace.

Find Commonly Asked Questions

Kafka & Spark Streaming are ideal for platforms where real-time or near real-time data is critical: high-traffic web marketplaces, ecommerce and retail platforms, real estate portals, logistics and delivery platforms, fintech and trading dashboards, IoT and smart-city systems, and any organisation that needs instant analytics or event-driven automation. If your users or internal teams are waiting for data to refresh, you are likely a strong candidate for streaming.

You do not always need both. Kafka is typically used as the backbone for event streaming and decoupling services, while Spark Streaming is used for complex processing, aggregations, and analytics on top of those streams. In some cases, Kafka plus lightweight stream processors are enough; in others, Spark is essential. During discovery, we recommend the minimal, future-proof stack that fits your use cases, web and ecommerce needs, and team capacity.

Yes. One of Stralya’s strengths is “project rescue”. We audit your current Kafka clusters, topics, consumer groups, and Spark jobs; identify bottlenecks, misconfigurations, and risks; then stabilise and refactor the architecture. Our goal is to restore confidence in your streaming layer while keeping business disruption to a minimum—for your websites, internal tools, and ecommerce operations.

We apply strict engineering standards: replication and partitioning strategies, secure authentication and authorisation, schema management, idempotent producers, consumer lag monitoring, back-pressure handling, and detailed logging and tracing. On the security side, we align with your cloud provider’s best practices, enforce least privilege, and integrate with your existing IAM, VPC, and encryption policies so your web and ecommerce data flows remain protected.

Whenever the scope is clear and stable, yes. We prefer fixed-price, outcome-focused engagements where deliverables, timelines, and quality expectations are agreed upfront. For highly exploratory or ongoing internal platform work, we can provide selective senior staff augmentation to strengthen your existing team and support your broader digital and ecommerce roadmap.

Case Studies