Observed Signal · Jun 3, 2026 · Partnership · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
SnapSoft Completes Cloud Migration for ziggiz.ai
SnapSoft announced the successful completion of a phased cloud transformation and migration for ziggiz.ai, moving the company's semantic data platform from Microsoft Azure to Amazon Web Services (AWS). The project modernized ziggiz’s stack by migrating containerized services to Amazon ECS, legacy SQL databases to Amazon RDS for PostgreSQL, and introducing a high-performance streaming layer using Amazon Kinesis and Amazon MSK. SnapSoft also integrated AWS Bedrock for AI use cases, implemented an automated CI/CD pipeline with GitHub Actions to provision client environments, and established an AWS Landing Zone with governance controls (AWS Organizations, CloudTrail, AWS Config) to meet security and compliance needs for healthcare and enterprise workloads. Both companies said the migration improved scalability, security posture, operational efficiency and time-to-market.
Commercial cloud migration and platform modernization for an enterprise semantic data platform demonstrates practical uses of AWS managed services (ECS, RDS, Kinesis, MSK, Bedrock) and automated provisioning — relevant to MarTech/AdTech teams planning scalable, compliant data infrastructures but not industry-shifting.
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Key Takeaways & Evidence Grounding
- SnapSoft completed a cloud transformation and migration project for ziggiz.ai, moving ziggiz’s platform from Azure to AWS.
- Containerized services were migrated to Amazon ECS and legacy SQL databases moved to Amazon RDS for PostgreSQL.
- SnapSoft integrated AWS Bedrock for ziggiz’s AI strategy and built a streaming platform using Amazon Kinesis and Amazon MSK.
- A CI/CD pipeline using GitHub Actions was implemented to automate provisioning of new client environments.
- An AWS Landing Zone with AWS Organizations, CloudTrail, and AWS Config was established to provide governance, security and compliance for sensitive workloads.
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