Real-time event streaming
We build real-time event streaming infrastructure: data on user actions and system events flows in real time (via Kafka, Kinesis, Pub/Sub, etc.) into analytics, the warehouse and operational systems. For scenarios where hours of delay are unacceptable. Honestly upfront: this is complex data-delivery engineering infrastructure, not analytics and not metric growth; and it is not for everyone — batch processing is often enough and cheaper.
Real-time event streaming — overview
Real-time event streaming is an engineering project (with support): we design and deploy a streaming pipeline — event producers, a message broker (Kafka/Kinesis/Pub/Sub), stream processing, delivery to destinations (warehouse, analytics, real-time systems), event schemas, delivery guarantees and error handling. Honestly about the need, this is key: true streaming is needed for specific scenarios (instant triggers, anti-fraud, real-time personalization, operational dashboards) — for most analytics tasks batch processing every N minutes/hours is enough, which is simpler, more reliable and cheaper; we honestly assess whether you need streaming or it is over-engineering. Honestly about cost and complexity: streaming infrastructure (broker, processing, monitoring) is ongoing hosting/cloud costs billed directly by the provider (SEPARATELY) and serious operational complexity; 'real time' is not free. Honestly about data: data quality and meaning are determined by event tagging — streaming only delivers fast, but it will deliver garbage just as fast (garbage in, garbage out). Honestly about the essence: this is delivery infrastructure, NOT analysis-conclusions and NOT growth — what to do with fast data and what value to extract is decided by you; streaming by itself does not raise the metrics. Honestly about requirements: access to sources/code and infrastructure is needed. Maintenance: the pipeline needs monitoring and support. An important boundary: this is streaming infrastructure, not batch ETL/collection (simpler — separate), not analytics and not real-time dashboards by themselves (they can run on batch). If there are no real-time scenarios, streaming is overkill and expensive — we say so honestly. Picture this: instead of 'events reach analytics in an hour' they flow and are available almost immediately — where it is really needed. The base price starts from 50,000 ₽ per project; it depends on volume, guarantees and infrastructure (hosting/cloud — separate).
Problems we solve
- Event data arrives with hours of delay, but you need it at once.
- There is no infrastructure for real-time triggers and scenarios.
- Batch processing cannot keep up with instant tasks.
- You need reliable stream delivery to several systems.
What's included in the Real-time event streaming service
- Designing the streaming pipeline and event schemas
- Deploying a broker (Kafka/Kinesis/Pub/Sub)
- Event producers and stream processing
- Delivery to destinations (warehouse, analytics, real-time systems)
- Delivery guarantees, error handling, monitoring
- An assessment: do you need streaming or is batch enough
- Documentation and access
- A basic operation instruction
What you get
- Events available almost in real time where needed
- Infrastructure for real-time triggers and scenarios
- Reliable stream delivery to several systems
- A foundation for operational decisions (analytics and growth — separately)
How the work goes: steps
- We clarify scenarios, volumes, guarantees, infrastructure budget; assess the need for streaming
- We design and deploy the pipeline, set up delivery and monitoring
- We test under load, hand over documentation and access
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Do I really need streaming?
Often no. Real-time is needed for specific scenarios (instant triggers, anti-fraud, real-time personalization); for most analytics batch processing every N minutes/hours is enough — simpler, more reliable, cheaper. We honestly assess whether it is over-engineering for you.
Is the infrastructure included in the price?
No. The broker, processing and monitoring are ongoing hosting/cloud costs billed directly by the provider, separate from our work. 'Real time' has its own cost and operational complexity.
Will streaming raise the metrics?
No. It is data-delivery infrastructure; what to extract from fast data and what value to create is decided by you. Streaming by itself is not analytics and does not raise sales; and it will deliver garbage data just as fast.
About the provider
The «Real-time event streaming» service is provided by PDV Expert — a team specialising in «Conversion & analytics». We work under contract and deliver a written report with recommendations.