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Telecom database problems — sound familiar?

  • CDR ingest pipeline — millions of call / data-session records per minute have to land in Cassandra / ClickHouse for billing reconciliation and fraud-detection; ingest backs up during peak hours and the downstream BSS jobs miss their SLAs.
  • Subscriber-profile lookup latency — every network signalling event needs sub-10ms profile lookup; the HSS / HLR adjacent DB (often Aerospike or Cassandra) needs hot-key analysis and capacity rebalancing.
  • 5G data-plane integration — UPF / SMF telemetry and CHF charging events are landing on the OLAP path concurrently with the legacy 4G CDR pipeline; the consolidated billing data warehouse plan hasn't been sized for the joined load.

JusDB telecom database team: CDR ingest pipelines, subscriber-DB hot-key tuning, 5G + 4G consolidated billing architecture. Book a telecom database scoping call →

CDR Processing & Network Operations

Database Services for Telecom & Network Operators

Executive Direct Answer · Telecom Database Decision Heuristic

Carrier-grade telecom data layers demand 100K+ writes/sec CDR ingestion, sub-millisecond in-memory prepaid balance rating, and five-nines (99.999%) core database uptime. Retaining dedicated Telecom DBRE over generic cloud DBAs delivers partitioned time-series storage, atomic Lua-scripted balance reservations, automated multi-region failover, and a contractual 15-minute Sev-1 network operations center SLA.

CDR Ingestion: 100K+ Events/Sec·Rating Latency: <1ms In-Memory·Uptime Target: 99.999% Carrier-Grade·Storage Savings: 70% Cold Tiering·SLA: <15m Sev-1 Response

Process billions of CDRs, run real-time billing at telecom scale, and manage millions of subscriber records with 99.999% uptime. We bring carrier-grade reliability to your data infrastructure.

Why JusDB

Why Do Telecom Operators Choose JusDB?

Telecom databases process billions of events daily, require five-nines availability, and must handle real-time billing with zero revenue leakage. Our DBAs understand the unique demands of carrier-grade operations.

Massive Throughput

CDR ingestion at 100K+ records/second with time-series optimized storage and automatic data lifecycle management.

Network Analytics

Real-time network performance queries across cell towers, traffic patterns, and QoS metrics for capacity planning.

Five-Nines Uptime

99.999% availability with synchronous replication, zero-data-loss failover, and rolling maintenance procedures.

Real-Time Billing

Sub-millisecond balance lookups and atomic rating operations for prepaid and postpaid subscriber management.

Scope of Work

What Is Included in Our Telecom Database Services?

CDR Processing & Mediation

  • High-throughput CDR ingestion (100K+ writes/sec)
  • Time-series partitioning with automatic data tiering
  • Mediation pipeline optimization for rating accuracy

Billing & Revenue Assurance

  • Real-time prepaid balance management with Redis
  • Postpaid billing aggregation with ACID guarantees
  • Revenue leakage detection and reconciliation queries

Subscriber Management

  • Million-subscriber profile optimization
  • Provisioning and entitlement database design
  • Self-service portal query performance tuning

Network Analytics & 5G

  • Cell tower performance time-series analytics
  • QoS metric dashboards and capacity planning
  • 5G network slice data management

Carrier-Grade Reliability

How Does JusDB Deliver Carrier-Grade Database Reliability?

Telecom systems demand the highest availability standards in any industry. We engineer every layer for five-nines uptime and zero revenue leakage.

  • 01

    Synchronous Replication

    Zero-data-loss replication across availability zones with automatic failover detection in under 30 seconds.

  • 02

    Rolling Maintenance

    Database patches, upgrades, and schema changes applied without service interruption using blue-green deployment patterns.

  • 03

    Data Lifecycle Automation

    CDRs and network logs automatically tiered from hot to cold storage, reducing infrastructure costs by 60-70%.

  • 04

    Capacity Forecasting

    Predictive analytics on CDR volumes, subscriber growth, and network expansion to provision ahead of demand.

24/7 Telecom-Grade Support

Networks never sleep. Our DBA team operates with carrier-grade response times and change management discipline.

  • NOC-integrated monitoring with real-time alerting on CDR processing delays, billing anomalies, and replication health.
  • Change management compliance with pre-approved maintenance windows and mandatory rollback procedures.
  • 5-minute response SLA for critical incidents — billing outages, CDR pipeline failures, or subscriber database degradation.

Proof

Telecom Success Stories

See how we help telecom operators optimize their data infrastructure.

Mobile Network Operator

Migrated CDR processing from Oracle to Cassandra, handling 2B records/day with 90% cost reduction and 5x faster queries.

Read Case Study

MVNO Platform

Built real-time prepaid billing system with Redis + PostgreSQL, achieving sub-5ms balance checks for 10M subscribers.

Read Case Study

Fiber ISP

Optimized subscriber management database for 3M accounts with zero-downtime schema migrations and 99.999% uptime.

Read Case Study

Comparative Architecture Matrix · Telecommunications Operations

How JusDB Telecom DBRE compares to alternative models.

Carrier-grade telecom infrastructure requires 100K+ writes/sec CDR ingestion, sub-millisecond prepaid rating, and strict five-nines uptime. Compare JusDB dedicated Telecom DBRE against generic cloud DBAs and in-house engineering teams.

Telecommunications Vector
JusDB Telecom DBRE
Generic Cloud DBAIn-House Engineering
High-Throughput CDR Ingestion (100K+ writes/sec)Partitioned time-series tables (TimescaleDB / ScyllaDB append logs), memory-ring write buffers (Kafka/Vector), and zero-loss bulk copy pipelines sustaining 100K+ CDR writes/sec without write-lock stalls.Stores CDR streams in monolithic cloud databases with default WAL flush parameters; commits encounter severe disk I/O wait queues and transaction stalling during peak network call windows.Direct synchronous application-to-database inserts without streaming ingestion queues; sudden call bursts saturate connection pools and trigger unrecoverable CDR billing event losses.
Real-Time Balance Rating & Prepaid DeductionsSub-millisecond rating latency via in-memory distributed key-value state tiers (Aerospike/Valkey), atomic Lua script balance reservation tokens, and asynchronous reconciliation ledgers.Relies on standard relational database row locking (SELECT ... FOR UPDATE) for balance checks; high concurrent SMS and voice calls trigger severe lock contention and rating timeouts.Check-then-act balance validation in application services without distributed lock coordination; network latency spikes cause race conditions and negative prepaid account balances.
Five Nines (99.999%) Carrier-Grade AvailabilitySynchronous multi-datacenter active-active clustering, zero-downtime rolling engine upgrades, Patroni DCS quorum orchestration, and sub-10s automated failover ensuring 99.999% network core uptime.Standard cloud multi-AZ failovers with 60–120s DNS propagation delays; network switches encounter transient database disconnects that disrupt active call session routing.Manual primary-standby failover runbooks requiring NOC engineer escalation and approval; outages result in 30–60 minutes of unbillable voice and data traffic.
Subscriber Catalog & Entitlement Query PerformanceOptimized composite B-tree and covering indexes for MSISDN/IMSI lookups, in-memory read-through caching for roaming profile entitlements, and sub-10ms p99 query latency.Basic single-column indexes on massive subscriber tables; complex multi-plan discount queries cause sequential table scans and slow down customer portal and provisioning systems.Unpartitioned subscriber tables with hundreds of columns; MVCC table bloat from frequent status updates degrades lookup performance across billing cycles.
Automated CDR Hot/Warm/Cold Storage TieringAutomated data lifecycle management migrating aged CDRs from NVMe hot storage to compressed columnar warm tiers (ClickHouse/Parquet) and cold S3/GCS archival, cutting storage costs by 70% while maintaining regulatory compliance.Keeps years of CDR records on expensive cloud block storage (EBS gp3/io2), continuously increasing infrastructure spend without automated compaction or compliance archival.Ad-hoc SQL DELETE scripts run during maintenance windows; deletes bloat transaction logs, trigger table locks, and leave orphaned records that fail regulatory audits.
24/7 Network Operations Center (NOC) DBRE BridgeContractual <15-minute Sev-1 SLA with dedicated Principal DBREs integrated into carrier NOC bridges; real-time CDR drop alerting, automated query anomaly remediation, and carrier-grade operational rigor.Standard 1–4 hour ticket response times through generic support queues with zero telecommunications domain expertise or carrier regulatory context.Overburdened internal network engineers attempting database triage during major network routing incidents without specialized database performance tools.
Evaluated against production telecommunications carrier reliability standards (Updated: September 2026).Standards: ISO 27001, SOC 2 Type II, 99.999% Carrier-Grade

Production Incident Triage

Sev-1 Telecom Database Failure Modes We Intervene Against

Ingestion queue dropouts, balance desynchronization, and subscriber table bloat create severe regulatory liabilities and unbilled network traffic. Our on-call DBREs intervene within 15 minutes against these critical production failure modes:

P1 Critical · CDR Buffer Drop

Ingestion Queue Spillover Leading to Lost Call Detail Records

Massive call event spikes exhaust unbuffered synchronous database write connections. Disk I/O bottlenecks cause replication worker lag, buffer overflows, and irreversible dropped CDR revenue events.

JusDB DBRE Mitigation:

JusDB DBREs deploy distributed Kafka/Vector memory-ring buffers, implement partition-keyed TimescaleDB/ScyllaDB append tables, and calibrate bulk write pipelines sustaining 100K+ CDRs/sec with zero loss.

P1 Critical · Balance Inconsistency

Prepaid Rating Desynchronization Between In-Memory Cache and Ledger

Concurrent subscriber voice and data usage triggers out-of-order balance deductions between Redis cache and the primary PostgreSQL ledger. Read Committed race conditions cause negative account balances and unbilled usage.

JusDB DBRE Mitigation:

We enforce atomic Redis Lua reservation scripts with decrement tokens, deploy PostgreSQL serializable isolation on ledger tables, and maintain a CDC transactional stream reconciling cache states within sub-second intervals.

P2 High · Subscriber Table Bloat

MVCC Autovacuum Starvation on Rapidly-Updated SIM Status Tables

Continuous network attachment and roaming updates generate millions of dead tuples per hour on subscriber status tables. Default autovacuum parameters fail to keep pace, causing massive index bloat and multi-second subscriber authentication lookups.

JusDB DBRE Mitigation:

We configure aggressive table-level autovacuum settings (scale_factor=0.01, autovacuum_vacuum_cost_limit=2000), schedule non-blocking pg_repack maintenance windows, and cache roaming entitlements in Valkey/Redis with sub-5ms lookups.

Telemetry Runbooks · Non-Blocking Telecom Diagnostics

Our DBREs run non-blocking telemetry diagnostics during carrier traffic surges and billing cutoffs to isolate contention without adding query wait states:

PostgreSQL: Autovacuum & Table Bloat on Subscriber Tables
SQL · Table Maintenance

Identifies dead tuple accumulation and vacuum lag on high-churn MSISDN subscriber tables and SIM entitlement catalogs.

-- 1. Inspect dead tuples and autovacuum performance on subscriber status tables
SELECT relname, n_live_tup, n_dead_tup,
       round(100.0 * n_dead_tup / nullif(n_live_tup + n_dead_tup, 0), 2) AS dead_pct,
       last_vacuum, last_autovacuum
FROM pg_stat_user_tables
WHERE relname LIKE %subscriber% OR relname LIKE %sim% OR relname LIKE %device%
ORDER BY n_dead_tup DESC LIMIT 5;

-- 2. Inspect active long-running subscriber balance transactions
SELECT pid, now() - xact_start AS xact_duration, state, query
FROM pg_stat_activity
WHERE state != idle AND xact_start IS NOT NULL
ORDER BY xact_duration DESC LIMIT 5;
PostgreSQL / TimescaleDB: CDR Write IOPS & Ingestion Rates
SQL · Write Telemetry

Tracks real-time insert rates, write amplification, and buffer cache efficiency across active CDR partition chunks.

-- 1. Inspect CDR hypertable chunk insert velocity and tuple insertions
SELECT relname, n_tup_ins, n_tup_upd, n_tup_del,
       pg_size_pretty(pg_total_relation_size(relid)) AS total_size
FROM pg_stat_user_tables
WHERE relname LIKE %cdr% OR relname LIKE %call_record%
ORDER BY n_tup_ins DESC LIMIT 5;

-- 2. Inspect background buffer writer performance and dirty page flushes
SELECT buffers_checkpoint, buffers_clean, maxwritten_clean,
       buffers_backend, buffers_alloc
FROM pg_stat_bgwriter;

Frequently Asked Questions

Ready for Carrier-Grade Database Reliability?

Process billions of CDRs, run real-time billing, and achieve five-nines uptime with expert telecom database management.