HCLTech recognized as Amazon RDS Service Delivery Partner

HCLTech recognized as Amazon RDS Service Delivery Partner

HCLTech, a leading global technology company, has been recognized as an Amazon Relational Database Service (RDS) Delivery Partner. This differentiates HCLTech as a partner in the AWS Partner Network (APN) with extensive technical expertise and proven customer solutions. The recognition is based on HCLTech’s database application migration, performance, governance, and support of Amazon RDS platform applications deployed within a customer’s account or provided as SaaS deployed in an AWS Partner’s account.

Amazon RDS allows the running of mission-critical workloads for customers that leverage multi-availability zone approaches across various industries. It simplifies the installation, operation, and scaling of relational databases in the AWS cloud to offer users greater performance, functionality, and reliability. HCLTech’s expertise in deploying Amazon RDS, a fully managed database service, and tooling applications enables customers to seamlessly migrate to a flexible, scalable, and cost-effective database solution.

“We’re thrilled to further enhance our capabilities, offerings and credentials to deliver exceptional service to our customers through revolutionary database solutions,” said Prabhakar Appana, Head of HCLTech’s AWS Ecosystem Business Unit. “At HCLTech, we are dedicated to supercharging progress for customers and organizations and we look forward to developing efficient and cost-effective digital transformation tools that leverage the latest technologies from the AWS ecosystem.”

As an AWS premier consulting, delivery and solution-based partner, HCLTech has established tools to help set up, operate and scale a relational database in the cloud while automating tasks, including starting and stopping non-productive instances, mounting backups and implementing data processes to support developmental and approval environments. HCLTech helps organizations and customers integrate Amazon RDS through multiple database engines like Amazon Aurora, MySQL, MariaDB, Oracle, Microsoft SQL Server, and PostgreSQL.

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