Tutorials
Hands-on labs
Step-by-step lab guides from the CompTech engineering team: OpenShift, microservices, data platforms and NVIDIA AI, built and tested in our lab.
- 01
OpenShift deployment
Installing OpenShift in a disconnected environment and choosing the operators to run on it.
3 topics
- 02
Microservices
Running common Java and .NET application runtimes as microservices on OpenShift.
6 topics · 1 published
- 03
Oracle 19c DC/DR
Protecting Oracle 19c across data centre and disaster recovery sites.
2 topics
- 04
NVIDIA AI Enterprise
NVIDIA's supported AI software stack: NIM microservices, models and Blueprints.
3 topics
- 05
NVIDIA NeMo
Building and customising models with NeMo, then serving them with NIM.
6 topics
- 06
Triton and TensorRT-LLM
Serving custom models with Triton Inference Server and optimised TensorRT-LLM engines.
4 topics
- 07
RAPIDS
GPU-accelerated data science and data engineering with RAPIDS.
4 topics
- 08
Data pipeline
Batch data processing and lakehouse storage for analytics and AI.
2 topics
- 09
AI applications
Building applications on top of language models: retrieval, agents and chatbots.
4 topics · 3 published
- 10
OpenShift AI
Red Hat OpenShift AI for pipelines, model serving and LLM serving.
3 topics
- 11
Redis
Redis as an in-memory data grid for applications on OpenShift.
1 topic
- 12
Kafka
Event streaming with Kafka, including change data capture from databases.
1 topic
- 13
API gateway (WSO2)
Integration, identity and API management with WSO2.
3 topics
- 14
Crunchy Postgres
PostgreSQL on OpenShift with Crunchy Data, across DC and DR.
1 topic
- 15
NetApp storage
Software-defined NetApp storage and its CSI driver for OpenShift.
3 topics
- 16
Testing
Testing applications and the platform they run on.
2 topics
- 17
Security
Securing the platform and the workloads on it.
1 topic
- 18
Observability
Tracing, telemetry and service mesh for applications on OpenShift.
3 topics