Data Infrastructure Engineering for Media, Telecom & Communications
A usage record that arrives five minutes late is a billing dispute waiting to happen. Call records, streaming events, and subscriber usage move at a volume most pipelines weren't built for, and the gap becomes a support ticket, a churn signal, or a revenue leak. We build the real-time, reliability, and database infrastructure that keeps usage data trustworthy at scale.
Where Usage Data Infrastructure Actually Breaks
Media and telecom systems generate usage events at a volume that breaks assumptions built for lower-traffic products, a call record, a stream-start event, a data-usage tick, arriving continuously rather than in a nightly batch. When the pipeline behind billing or usage analytics wasn't built for that volume, records arrive late, get processed twice, or silently drop under load, and nobody notices until a customer disputes a charge or a churn model trains on stale data.
The fix isn't always more infrastructure. Sometimes it's the specific query or partitioning strategy that's failing under real subscriber counts. Sometimes it's CDC and streaming for the usage events that genuinely need sub-minute freshness, while batch stays batch for what doesn't.
A legacy OSS/BSS system compounds the problem further, every new carrier integration or product launch routes through the same aging bottleneck, and each addition takes longer than the last.
We scope database performance, real-time infrastructure, and reliability monitoring to the specific usage and billing pipelines carrying the risk, not a full OSS/BSS rebuild.
Five Problems We See Repeatedly, and How We Handle Them
Real scenarios, not a checklist of generic capabilities.
A subscriber database that handled 500,000 accounts fine starts timing out on the nightly billing run once the account count crosses two million.
We profile the actual query plan and partitioning strategy and fix the specific bottleneck, instead of resizing the instance and hoping it holds.
Database EngineeringUsage events from a new market or product line arrive on a batch pipeline built for the original product, so a customer's data usage shows up in their bill three days after it happened.
We build CDC and streaming infrastructure scoped to the usage events that actually need near-real-time freshness for billing and alerts.
Real-Time Data EngineeringA billing reconciliation report is off by a few percent every month, and nobody can say whether it's duplicate events, dropped events, or a timezone bug.
We build freshness, volume, and reconciliation checks on top of the usage pipeline, so the discrepancy gets traced to its source instead of written off as noise.
Data ReliabilityA legacy OSS/BSS system is the single point every new integration has to route through, and every carrier or partner API addition takes longer than the last.
We modernize the specific integration points that are actually the bottleneck, without a wholesale platform replacement.
Data ModernizationChurn gets discovered when a customer cancels, because nothing was scoring the risk before that call came in.
We build a churn prediction model off your usage data, so retention outreach targets the accounts actually trending toward cancellation, not a blanket campaign.
Data AnalyticsTechnology We Work In
Cassandra for high-volume usage and call records, Kafka for telemetry streams, ClickHouse for usage analytics at scale, and Elasticsearch for search across logs and records.
We work hands-on with: Cassandra, Kafka, ClickHouse, Elasticsearch.
What's Included, By Category
Database & Performance Engineering
- Query optimization and partitioning for high-volume subscriber and usage tables
- Connection pooling and resource tuning under real subscriber load
- Replication, failover, and backup/recovery for billing-critical systems
- Cost right-sizing for usage and billing data infrastructure
Real-Time & Usage Infrastructure
- CDC and event-driven pipelines on Kafka for call records, streams, and usage ticks
- Freshness, volume, and reconciliation monitoring for billing accuracy
- Churn and usage analytics infrastructure built on current, not day-old, data
- Database performance tuning for high-throughput event ingestion
Modernization & Integration
- Incremental OSS/BSS and legacy billing system modernization
- Carrier, content, and third-party partner API integrations
- Data warehouse and analytics infrastructure for usage reporting (Snowflake, BigQuery)
- Cloud data infrastructure cost optimization at subscriber scale
Market Segments Served
We work with media, telecom, and communications companies where usage data volume or accuracy is the actual risk.
- Telecom operators and MVNOs running subscriber billing on high-volume usage data
- Streaming and media platforms tracking viewing or listening events at scale
- Companies whose usage or billing reconciliation reports don't match month to month
- Teams migrating off a legacy OSS/BSS or billing system
- Media and telecom products adding markets or product lines faster than their pipeline was built for
- Churn and analytics teams working from usage data that's hours or days stale
Delivery Lifecycle
Discovery & Assessment
We review your usage and billing pipeline, subscriber database performance, and where reconciliation currently breaks, and identify what's actually driving the risk.
Architecture & Design
We design the fix for your highest-risk gaps first, with an explicit call on what needs real-time infrastructure versus what batch already handles fine.
Build & Integration
We implement the database, streaming, or modernization changes end to end, integrated with the billing and partner systems already in place.
Testing & Validation
We validate against real subscriber volume and usage patterns, not a synthetic load test, before it touches production billing.
Launch & Ongoing Coverage
We document runbooks, train your team to run what we built, and stay on retainer for incidents and the next scale milestone.
Why Telecom & Media Teams Work With Us
Depth Across the Whole Stack, Not Just One Layer
A billing vendor fixes the platform. A database consultant tunes queries. We bring database, real-time, reliability, and modernization engineering as one team, so a problem that crosses two systems doesn't fall into the gap between vendors.
A Team, Not One Person's Calendar
A single in-house hire means business hours and one person's availability, with everything waiting when they're out. We bring a team behind every engagement, so a billing incident doesn't wait on someone's vacation.
Scoped to the Actual Problem, Not a Fixed Package
Every engagement starts with a diagnostic against your real usage and billing data, not a generic telecom audit. You get a prioritized list of what's actually wrong before committing to fix it.
No Dependency by Design
Runbooks and documentation are part of the deliverable, so your team can run what we build without staying on retainer forever. If ongoing coverage is still the right call, we'll say why.
Related Services
Frequently Asked Questions
Find Out Where Your Usage Data Actually Breaks
We schedule a call to hear what's going on, then a second call to review your pipelines and tell you directly which gaps carry real risk.