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1. TIBCO EMS to Kafka Migration
- Assess
the existing TIBCO EMS infrastructure (topics, queues, message flows,
and integrations) and design a migration strategy to Kafka.
- Map
TIBCO EMS constructs (e.g., topics, bridges, routing) to Kafka
equivalents (e.g., Kafka topics, partitions, consumers, Kafka Connect).
- Implement
proof-of-concepts (PoCs) to validate performance, latency, and
compatibility.
- Develop
custom connectors/adapters (if needed) to ensure backward compatibility
with legacy systems.
2. Kafka Architecture & Development
- Design,
configure, and optimize Kafka clusters (on-premises/cloud) for high
throughput, fault tolerance, and scalability.
- Develop
producers/consumers in Java/Spring Boot (or Python/Scala) with efficient
serialization (Avro/Protobuf/JSON).
- Implement
Kafka Streams or ksqlDB for real-time stream processing (e.g.,
aggregations, joins, filtering).
- Set
up schema management (Confluent Schema Registry or Apicurio) and enforce
governance policies.
3. Performance & Reliability
- Monitor
and tune Kafka performance (e.g., broker configuration, partition
sizing, replication factors).
- Implement
exactly-once semantics, idempotent producers, and transa ctional
messaging where required.
- Design
disaster recovery (DR) and backup strategies for Kafka clusters.
- Conduct
load testing and benchmarking to ensure SLAs are met.
4. Integration & DevOps
- Collaborate
with DevOps/SRE teams to deploy Kafka in containerized environments
(Kubernetes/Docker) using IaC (Terraform/Ansible).
- Integrate
Kafka with CI/CD pipelines (Jenkins, GitLab CI, ArgoCD) for automated
testing and deployment.
- Ensure
security best practices: TLS encryption, SASL/SCRAM authentication, RBAC
(via Kafka ACLs or Confluent RBAC).
5. Documentation & Knowledge Sharing
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