Test data management no longer lives on a single server. Your measurement data spans ASAM ODS repositories, data lakes, legacy databases, and cloud storage. Your analysis runs on local workstations, dedicated servers, and elastic cloud resources. Your tools need to connect across all of it. That is why we are doing Cloud Test Data Management.
We design and deploy architectures that bring these pieces together. Federated access without data migration. Containerized services that scale with demand. Integration with the analytics technologies your teams already use. All built on open standards, so you maintain control over your infrastructure decisions. We call it Janus Test Data Management Platform.
General setup of test test management system with HighQSoft components.
Our platforms run as containerized services on Docker and Kubernetes. Deploy on AWS, Azure, GCP, or your private cloud. Scale services independently based on workload. Stateless architecture means elastic scaling without session management complexity. Production-ready for modern infrastructure.
Janus virtualizes diverse data sources behind a single ASAM ODS 6 API. Classic ODS repositories, PLM systems, data lakes, legacy databases, and custom APIs appear as one unified view. No data migration required. Your existing tools keep working while you gain federated access across your entire data landscape.
Connect your test data directly to analytics platforms. Apache Spark for large-scale processing. Elasticsearch for fast search and indexing. Python and MATLAB for engineering analysis. Merlin orchestrates automated workflows across all of these. One data foundation, many analysis paths.
All HighQSoft platforms ship as Docker images ready for Kubernetes deployment. Helm charts handle configuration. Services scale horizontally based on demand. Deploy the same containers on any Kubernetes cluster, whether managed cloud services or on-premises infrastructure.
Stateless service design means no sticky sessions or complex failover. Add capacity when analysis jobs queue up. Scale down when demand drops. Pay for resources when you need them. Janus and Merlin both support elastic architectures out of the box.
OAuth integration for identity management. Role-based access control inherited from your enterprise directory. Encrypted connections throughout. Audit logging for compliance requirements. Cloud deployment does not mean compromising on governance.
Migrate from aging infrastructure without disrupting operations. Janus virtualizes legacy sources while new systems come online. Retire old databases gradually as data moves to modern storage. No big-bang migration required.
Engineering centers in multiple locations need access to shared test data. Janus provides unified views across distributed repositories. Each site maintains local performance while participating in enterprise-wide queries.
Keep sensitive data on-premises while using cloud resources for burst capacity. Janus federates across locations. Merlin distributes jobs to workers wherever they run. Secure connections maintain governance while enabling flexibility.
Some analysis tasks exceed what single servers can handle. Fleet-wide comparisons across millions of measurements. Machine learning model training on years of test data. Statistical analysis spanning entire product generations. We integrate Apache Spark for distributed processing while preserving ODS traceability.
Elasticsearch provides fast indexing and search across large measurement collections. Find relevant tests in seconds, not hours. Use indexing to support discovery workflows across years of data and large fleets.
Merlin orchestrates workflows across Python, MATLAB, Java, and Spark. Trigger analysis when new data arrives, schedule recurring jobs, and chain processing steps with intermediate results tracked. Results flow back to ODS with complete lineage.
HighQSoft GmbH
Black-und-Decker-Straße 17b
D-65510 Idstein
