API testing is a bit like putting together a puzzle. You need all the pieces to fit perfectly to see the big picture, and sometimes, you have to simulate a piece or two with mocking. Mocking in API testing lets you imitate a component or system’s behavior to test your application more efficiently. It’s like having a stunt double for your API when the real actor is unavailable. This approach can save time, reduce costs, and increase the reliability of your testing process.

Testing in production was previously ignored by Product Developers, But recently it gaining Popularity Again! Even, more organizations are planning use this. In this Article, We’ll explore What is Testing in Production,How & Why to use it,It’s Benefits , drawbacks and many more. So Without Delaying Further, Let’s START!

Wondering which is the best way to host your business applications and IT infrastructure? Many enterprises are transitioning from on-premises software to cloud computing. On the other hand, several established companies are investing their capital in on-premises software. Both of these deployment models have advantages and drawbacks, and you can zero in on the right option by considering your specific requirements.

For years, we've witnessed how applications have shifted to the cloud, driven by cost savings, flexibility, on-demand access, scalability, and faster deployment times. During that time, new architectural best practices for building cloud native applications have emerged. (For more insights, refer to this whitepaper.) Yet despite these advances, it remains difficult to build cloud native applications that fully take advantage of Kubernetes, the platform of choice for most cloud deployments.

Snowflake is a technology company offering a cloud-based data warehouse for data storage and analytics. Snowflake has been making headlines lately, having reported $1.1 billion in revenue for the fiscal year ending Jan. 31, 2022—that’s 106% growth year-on-year.

Application programming interfaces (APIs) have become necessities in business operations, driving innovation and allowing for business agility. Embarking on digital transformation is no longer just a choice for businesses, it is a must for any company that wants to compete in the digital economy. Don’t just take our word for it, though. A recent study shows that 97% of enterprise leaders agree with the statement that APIs are essential for business survival.

Today, more organizations than ever before rely on web and mobile applications and partner integrations to help them automate and scale, making APIs essential to today’s software ecosystem. But because APIs are gateways to sensitive data, this also makes them an attractive target for hackers who are constantly evolving their strategies to access private information.

With digital transformation shifting networks into the cloud — from remote workforces to online banking — cyberattacks are growing more prevalent and sophisticated. Legacy security models like VPNs and perimeter-based firewalls are proving inadequate in addressing modern threats because perimeters are becoming harder to define.

Ever faced frustrating API documentation? Or wrestled with versioning headaches? Or battled integration nightmares? These are just some of the common challenges that plague the API development world. The good news is that there's a better way. By prioritizing five key areas – design clarity, comprehensive documentation, developer empathy, robust security, and automated workflows – you can overcome these hurdles and craft APIs that are a joy to use, maintain, and integrate with.

In this series of posts, we will look closely at how Kong Konnect Data Planes can take advantage of Autoscalers running on Amazon Elastic Kubernetes Services (EKS) 1.29 to support the throughput the demands API consumers impose on it at the lowest cost. The series comprises four parts.