Migration Toolkits

Migration Toolkits Built for Enterprise OSS

Structured playbooks, automation tooling, and hands-on engineering to move your workloads off proprietary platforms — without the horror story.

Available migration toolkits

Each toolkit is a production-tested bundle of automation, runbooks, and engineering expertise purpose-built for one migration path.

Oracle DatabasePostgreSQL

Oracle to PostgreSQL

Replace Oracle licenses with production-grade PostgreSQL without rewriting your application from scratch. OSSeva's toolkit covers schema translation, PL/SQL conversion, optimizer tuning, and cutover automation. We've done this at scale — from single-schema OLTP systems to multi-terabyte data warehouses.

Migration steps

  1. 1Schema and object inventory: catalog tables, indexes, sequences, synonyms, and stored procedures
  2. 2Automated schema translation using pgloader and custom DDL transforms
  3. 3PL/SQL-to-PL/pgSQL conversion with manual review of complex business logic
  4. 4Data migration with ora2pg, CDC validation, and row-count reconciliation
  5. 5Application compatibility testing, connection pool tuning, and production cutover

Tech stack

PostgreSQLpgloaderora2pgpgBadgerFlywayAWS DMSPgBouncer
Typical timeline: 8–16 weeks
Scope my Oracle migration
Broadcom Tanzu RabbitMQOSS RabbitMQ

Broadcom Tanzu to OSS RabbitMQ

Broadcom's acquisition of Tanzu dramatically changed the licensing calculus for RabbitMQ. OSSeva's toolkit migrates your vhosts, exchanges, queues, bindings, and policies to a self-managed or cloud-hosted OSS RabbitMQ cluster with zero message loss. We handle operator deployment, TLS configuration, federation setup, and runtime validation.

Migration steps

  1. 1Topology export: vhosts, exchanges, queues, bindings, users, and policies via Management API
  2. 2Target cluster provisioning using the RabbitMQ Kubernetes Operator or bare-metal playbooks
  3. 3Topology replay and policy reconciliation on the target cluster
  4. 4Shovel-based live message drain and consumer cutover with rollback checkpoints
  5. 5Monitoring setup with Prometheus and Grafana dashboards, alerting baseline

Tech stack

RabbitMQRabbitMQ Kubernetes OperatorPrometheusGrafanaHelmTerraformShovel Plugin
Typical timeline: 4–8 weeks
Scope my Tanzu RabbitMQ exit
Confluent PlatformApache Kafka

Confluent to Apache Kafka

Confluent's per-broker and per-core pricing punishes growth. OSSeva's toolkit transitions your Kafka clusters, Schema Registry, Kafka Connect pipelines, and ksqlDB workloads to OSS Apache Kafka — on Kubernetes, on bare metal, or on a managed service like Amazon MSK. We preserve topic configurations, consumer group offsets, and ACL policies throughout the migration.

Migration steps

  1. 1Cluster audit: topic configs, replication factors, ACLs, consumer groups, and connector inventory
  2. 2Target cluster deployment with Strimzi Operator or MSK, mirroring source topology
  3. 3MirrorMaker 2 replication setup with offset translation and lag monitoring
  4. 4Schema Registry migration and connector pipeline replay on the target cluster
  5. 5Consumer group offset sync, traffic cutover, and source cluster decommission

Tech stack

Apache KafkaStrimziMirrorMaker 2Kafka ConnectAmazon MSKConfluent Schema Registry OSSPrometheusTerraform
Typical timeline: 6–12 weeks
Scope my Confluent migration
Spring Commercial (VMware/Broadcom)OSS Spring Framework

Spring Commercial to OSS Spring

Spring Commercial support contracts became a Broadcom acquisition casualty. OSSeva's toolkit audits your Spring Boot, Spring Cloud, and Spring Security versions, replaces commercial dependencies with OSS equivalents, and validates runtime behavior through automated regression testing. We resolve CVEs, dependency conflicts, and Spring Cloud Config or Vault integration issues that emerge during the transition.

Migration steps

  1. 1Dependency graph analysis: identify all commercial Spring artifacts and transitive dependencies
  2. 2OSS equivalent mapping and version compatibility matrix per module
  3. 3Automated dependency substitution with Maven or Gradle tooling, plus compile-time validation
  4. 4Integration test suite execution against OSS runtime to surface behavioral regressions
  5. 5CI/CD pipeline updates, artifact repository configuration, and long-term OSS patch strategy

Tech stack

Spring BootSpring CloudSpring SecurityMavenGradleJUnit 5TestcontainersGitHub Actions
Typical timeline: 4–10 weeks
Scope my Spring migration

How it works

Every migration follows the same playbook

Repeatable process, production-tested checkpoints, and a handoff package your team can actually use.

01

Discovery & Risk Assessment

We start with a structured audit of your existing environment — schema complexity, message volumes, dependency graphs, or cluster topology depending on the migration. You get a written scope document with risk flags, estimated effort, and a go/no-go checklist before any work begins.

02

Toolkit Deployment & Dry Run

OSSeva runs the migration toolkit against a non-production copy of your environment first. This surfaces schema translation gaps, connector incompatibilities, or offset anomalies in a safe context. You see exactly what the migration will do before it touches production data.

03

Staged Cutover with Rollback

Production migrations run in stages with defined rollback checkpoints at each phase. We use live replication, dual-write patterns, or traffic shadowing depending on the workload to ensure your old system stays live until validation is complete. Nothing is cut over until your team signs off.

04

Handoff & Runbook Delivery

Every migration closes with a handoff package: operator runbooks, monitoring dashboards, alert thresholds, and a documented topology of the new environment. Your team inherits a system they can operate and extend — not a black box that only we understand.

FAQ

Common questions

Frequently asked questions

How long does an Oracle to PostgreSQL migration take?

Oracle-to-PostgreSQL migrations range from 8 to 16 weeks for most enterprise engagements, depending on schema complexity, PL/SQL volume, and application coupling. OSSeva's toolkit uses pgloader for schema translation and ora2pg for data migration, with automated row-count reconciliation and application compatibility testing before cutover. Simple OLTP schemas can complete in 6–8 weeks; complex data warehouses with heavy stored procedures typically require 12–20 weeks.

What is involved in a Broadcom Tanzu to OSS RabbitMQ migration?

A Tanzu-to-OSS-RabbitMQ migration involves: exporting existing vhost, exchange, queue, binding, and policy definitions; deploying a new OSSeva-supported RabbitMQ cluster (via Operator on Kubernetes or manual clustering); validating TLS configuration and federation/shovel policies; running both clusters in parallel for a validation period; and performing a message-drain cutover with zero message loss verification. OSSeva has a documented migration toolkit for this path and has executed it for multiple Global 2000 customers.

Can I exit Confluent without losing Schema Registry compatibility?

Yes. OSSeva's Confluent exit toolkit covers Schema Registry replacement using Apicurio Registry or the community Confluent Schema Registry, both of which are compatible with the standard Schema Registry API used by Kafka producers and consumers. We include Schema Registry migration scripts and compatibility validation as part of the engagement.

What does the Spring commercial to Spring Framework migration cover?

OSSeva's Spring migration toolkit targets teams moving off Broadcom commercial Spring support. It covers: Spring Framework 5.3.x to 6.x migration (Spring Boot 2.7.x to 3.x), Jakarta EE namespace migration (javax.* to jakarta.*), Spring Security configuration updates, removal of deprecated APIs, and Spring Data query method signature changes. OSSeva provides a migration assessment, automated code refactoring tooling, and post-migration testing support.

Ready to start your migration?

The scoping call is free. We leave with a written scope document, risk assessment, and fixed-fee estimate — no obligation to proceed.