System Engineering / Real-Time Systems
Real-Time Systems Engineering
Chat, live dashboards, collaborative editing, tracking, and notifications all need data delivered the moment it changes. We build real-time features with WebSockets, server-sent events, and streaming backends that stay fast and consistent as connections grow.
This Is For You If...
You're building chat, live dashboards, notifications, or collaborative features
Your real-time feature works for a few users but breaks with many connections
Users see delayed, missing, or out-of-order updates
You're deciding between WebSockets, SSE, polling, or a managed service
Which Area Matches Your Need?
Ask Yourself | Points Toward |
Are you choosing how to push updates to clients? | Transport Selection |
Do connections drop or fail at scale? | Connection Scaling |
Do users see inconsistent state? | State Sync & Ordering |
Do you need live analytics on incoming data? | Stream Processing |
Real-Time Services We Offer
Transport Selection
WebSockets, server-sent events, long polling, or managed services such as Pusher, Ably, or Firebase — chosen for your use case and scale.
Connection Scaling
Pub/sub backplanes with Redis or message brokers so many server instances can share connections reliably.
State Sync & Ordering
Reconnection handling, missed-message recovery, ordering, and conflict handling for collaborative features.
Stream Processing
Processing incoming events in real time for live metrics, alerts, and dashboards.
What We Need From You
What to Share | Why It Helps |
The real-time feature and expected users | Defines latency and connection needs |
Current implementation, if any | Lets us fix rather than rebuild |
Frontend and backend stack | Determines libraries and hosting |
Acceptable delay and consistency | Shapes the architecture |
Common Mistakes to Avoid
Instinct | Why It Doesn't Help | Do This Instead |
Keeping connections on a single server | Breaks as soon as you scale out | Use a pub/sub backplane |
Ignoring reconnections | Users silently miss updates | Resync state after reconnect |
Sending full state on every change | Wastes bandwidth and slows clients | Send changes, with periodic resync |
Polling aggressively | Costly and still not real-time | Use push where updates matter |
How It Works
1. Define the feature
Latency, users, and consistency needs
2. Choose the approach
Transport, backend, and hosting
3. Build
Server, client, and reconnection logic
4. Load test connections
Prove it holds at your expected scale
5. Hand over
Code, monitoring, and documentation
Why Codersarts
We test real-time features with realistic connection counts and network drops, not just on a developer's laptop, so they behave the same in production.
Turnaround Time
A focused real-time feature is typically built within one to two weeks. Larger collaborative or streaming systems are scoped individually.
FAQ
Should we use a managed real-time service?
Often yes for speed; we compare cost and limits against self-hosting for your scale.
Can you fix our existing chat or notifications?
Yes — dropped messages and scaling problems are common starting points.
Do you build the whole product?
Yes — see Web Apps and Mobile Apps.
Is our project kept confidential?
Yes. Your data, code, and results stay confidential, and an NDA is available on request.
Related Services
Need Live Updates That Actually Stay Live?
Build real-time features that hold up with real users.