Kafka Migration Automation

Migrate to Confluent Fast

Our "InsightLake Kafka Migration Automation" streamlines migrating and modernizing your streaming cluster to Confluent Cloud or Confluent Platform. It automates all migration steps—programs, clusters, apps, data integrations etc. saving time and cost by building a robust, industry-proven, tested streaming tech stack.

Migrate Any Implementation

InsightLake automation seamlessly supports migrating various streaming technologies to Confluent, including Apache Kafka, AWS MSK, Kafka variations like CDH, GCP, Pulsar, MQ, and more.

Assessment (1 - 6 Weeks)

We conduct 1-6 week assessments using InsightLake Migration Automation to discover streaming data, infrastructure, and models, producing new architecture, infrastructure, governance, security, operations guides, and migration plans.

1. Business Requirements

Working with various stakeholders we collect target business requirements and understand the existing streaming architecture.

  • BUs, Multi-Tenancy
  • SLA, Criticality
  • Use cases
  • Stream Architecture

2. Infrastructure

We use automation to discover the current cluster and components, creating a target infrastructure plan.

  • Cluster Components, Version
  • Deployment - Onprem, Cloud, K8
  • Networking
  • Capacity
  • PROD/DR

3. Governance

We use automation to capture current metadata and processes, creating a target solution with catalogs and mappings.

  • Onboarding Process
  • Catalogs - Collibra, Alation
  • Schema Management
  • Lineage
  • Audit Logs

4. Operations

We review your operations, including monitoring, logging, and DevOps implementations.

  • DevOps - CI/CD, GITOps
  • Monitoring - Prometheus, Grafana, Datadog, NewRelic, AppD
  • Logging - ELK, Splunk
  • SecOps - SIEM
  • AIOps

5. Security

We evaluate the security implementation, including encryption, authentication, authorization, and secrets management.

  • Encryption - Block, TLS
  • Authentication - SASL/OAuth/Custom
  • Authorization - ACL, RBAC
  • Secret Management

6. Data Architecture

We review your data architecture, including topics, schemas, partitions, and other related components.

  • Topics - Schema, Partitions, Replication, Formats
  • Topic management

7. Data Integration

We evaluate the data integration tools used to bring data into and extract data from Kafka.

  • Tools - CDC, IBM, Nifi, Streamsets
  • Connectors

8. Apps & Stream Processing

We evaluate existing apps like producers, consumers, KStream, Flink, KSQL, Flink SQL, and Spark.

  • Producer, Consumers
  • KStream, Flink, Spark
  • KSQL, Flink SQL

9. Compliance

We evaluate the existing solution for PCI, HIPAA, GDPR compliance requirements and identify any gaps.

  • HIPAA
  • PCI
  • GDPR

10. FinOps

We assess existing resource utilization and evaluate them using our automated cost calculator.

  • Resource Utilization
  • Cost Calculator

11. Tools & Runbooks

We assess existing runbooks for deployments, upgrades, failover, failback, issue resolution, and performance benchmarking.

  • Tools like Cruise Control, Kafka Explorer
  • Deployments, Upgrades
  • Failover & Failback
  • Benchmarking

12. Executive Close Out

At the end of the assessment, we present the final readout and implementation plan.

  • Assessment Details
  • Final Architecture
  • Implementation Plan
  • Summary

Migration Project

InsightLake automation creates migration project templates for easy import into Asana, JIRA, or Trello, including labels, blocker types, tags, tasks, and dashboards.

Migration Scope

InsightLake Kafka Automation streamlines every aspect of your Streaming Architecture—Data Management, Security, Governance, Operations, Data Pipelines—reducing migration time by 80% and ensuring an error-free, production-ready target solution with best practices.

Migration

InsightLake automation offers UI tools, CLI, and scripts to easily visualize and manage migration tasks.



Cluster Design - Config Mappings, CKU Plan, CP Helm Charts, Dev Docker Compose

Performance Benchmarking - Cohort, Chaos Testing

Schema Replication - Catalogs, Schemas

Topic Replication - Partition Design, Topic Configuration

Data Replication - Cluster Linking, Replicator

Apps (Producer/Consumer, KStream/Flink, KSQL) - Java, Python, .NET, GO, Library Upgrades, Templates, Visual Studio Gen AI Extension

Connectors - Managed Connectors, K8 Manifests, Monitoring

Users, Service Accounts - AD, SCRAM, Kerberos, SASL Files, OAuth

Security - Security mapping, RBAC, TLS

Monitoring - Prometheus/Grafana, Datadog, New Relic, AppDynamics

Validation - Cluster, Stream Pipelines, Connectors

Switchover - Interative pipeline Switchover & Old cluster pipeline shutdown

Success Stories

Media, MSK to Confluent Cloud
Automated AWS MSK to Confluent Cloud for a very large media company

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Insurance, Apache to Confluent Cloud
Automated migration of Apache Kafka to Confluent Cloud for a commercial insurance firm

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Retail, Kafka, CDH to GCP
Automated On-premise CDH to GCP migration for a very large retail firm

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