Implementing a QA Environment on IBM Cloud

Implementing a QA Environment on IBM Cloud

We recently completed a project for a North American-based organization that specializes in providing VoIP services for enterprise clients that process telephone payment services. Rooted in the context of a rapidly evolving technological landscape, they were eager to transition from their traditional application infrastructure into a more agile and scalable model. They aspired to:

  • Construct a QA environment using Kubernetes: They already had a foundation with Docker, but their structure leaned heavily towards monolithic applications.

  • Migrate from their conventional model of local testing: They wanted to deploy directly to production using a contemporary CI pipeline.

Their traditional development cycle, optimized for past challenges now faced the pressures of modern demands. It was clear that adapting to the new era would be pivotal for their continued success.

Mac CRM business app developer Marketcircle chooses stack.io to maximize developer resources

Mac CRM business app developer Marketcircle chooses stack.io to maximize developer resources

“We always ran our own back-end infrastructure,” explained Jetha, who has led his company’s development efforts since its inception 23 years ago. “But as our business has grown we realized that maintaining infrastructure was not our expertise. Our strength is building product innovation that enhances and empowers small businesses to grow versus constantly on standby in maintenance mode.”

How FlipGive dealt with peak seasons by auto-scaling their infrastructure

How FlipGive dealt with peak seasons by auto-scaling their infrastructure

FlipGive first realized they needed auto-scaling when they noticed that their website would need to handle a much larger volume of traffic. In particular, they were concerned with peak seasons in the e-commerce calendar such as Amazon Prime Day and Black Friday.

“They are very knowledgeable. I would definitely call them subject matter experts. Sometimes, I would have ideas and they would challenge those ideas with data. ‘Are you sure you want to go with this?’ they’d ask. ‘The data says otherwise.’ And I really appreciate that.”