Telecommunications
Engineering for Always-Connected Networks.
Common technical challenges
What telecommunications teams tell us.
- 01
Massive data volumes
Network and usage data arrives continuously at high velocity.
- 02
Legacy OSS/BSS
Older operational and billing systems slow new product launches.
- 03
Operational automation
Manual processes cannot keep pace with network complexity.
- 04
Customer experience
Self-service and support channels must be fast and reliable.
Relevant Assistora solutions
How we can help.
Example engagement scenarios
What an engagement could look like.
These are illustrative scenarios describing how our services can be applied. They are not case studies or descriptions of past client projects.
Recommended technologies
- Kubernetes
- Apache Kafka
- Apache Spark
- Google Cloud
- AWS
- Prometheus
- Grafana
- Go
Illustrative scenario 01
Network telemetry pipeline
A streaming pipeline that aggregates telemetry for real-time operational dashboards.
Illustrative scenario 02
Self-service customer portal
Account, billing and plan management connected to back-office systems.
Illustrative scenario 03
Platform modernisation
Moving internal services onto Kubernetes with GitOps delivery.
Related services
Capabilities we bring.
DevOps & Platform Engineering
DevOps & Platform Engineering
Automated CI/CD, Kubernetes platforms and infrastructure as code that let your teams ship faster and operate reliably.
- GitHub Actions
- GitLab CI
- Jenkins
AI & Data
Data Engineering
Reliable pipelines, modern warehouses and real-time streaming that turn raw data into trusted decisions.
- BigQuery
- Snowflake
- Amazon Redshift
Cloud & Infrastructure
Cloud Computing
Design, migrate and operate secure, cost-efficient cloud environments across AWS, Google Cloud and Microsoft Azure.
- AWS
- Google Cloud
- Microsoft Azure
AI & Data
Artificial Intelligence
Generative AI, intelligent agents and machine learning engineered into real business workflows — securely and measurably.
- OpenAI API
- Anthropic Claude
- Google Gemini
FAQs
Questions from the sector.
We design streaming and processing architectures with Kafka, Spark and cloud-native services built to scale horizontally. Capacity is validated through performance testing.
We typically modernise incrementally — integrating, extending and gradually replacing components rather than attempting high-risk replacements.
Building for telecommunications?
Tell us about your goals and constraints, and we'll recommend a practical engineering approach.