Systems | Development | Analytics | API | Testing

The iPaaS market is clearly growing now at a faster pace than ever anticipated. This is not only due to the pandemic forcing companies to accelerate the digital transformation, but also in general due to the rise of SaaS. The replacement of older, server-bound software solutions with more modular, user-friendly and flexible SaaS solutions means customers need to connect these disparate cloud systems somehow if they want their business to become truly data driven.

In a recently posted article on DZone, “Microservices: Good for Developers’ Mental Health,” Sauce Labs engineer, Simone Pezzano, addresses the link between developer confidence and mental health in today’s new workplace. Pezzano tells the story of his team’s bumpy start on their journey from monolith to microservices. Initially, Pezzano viewed microservices as a scary concept with rapid release cycles and shorter testing times.

Ready to speed up your Kong Lua custom plugin development process? Before diving into this post, make sure you’re familiar with the basics of plugin development and have gone through the basics described in our Kong documentation.

Mulesoft is often considered one of the leading names in data integration. It has a wide range of features that allow companies to integrate their applications, run analytics, and automate business processes. However, before you consider Mulesoft for your company’s needs, here are some reasons why Mulesoft may not be right for you.

Today we’re excited to announce the general availability of the Snowpark API for Scala and Java UDFs on AWS. Snowpark is the developer framework for Snowflake, bringing deep, language-integrated data programmability to users in the languages they love. At its core, Snowpark is all about extensibility.

Kubernetes is hard. Last year, we started the developer experience product at American Airlines. As we transitioned into the later half of 2020 and into 2021, we wanted to tackle Kubernetes app deployments. We aimed to make it easy for the users to do the right things, no matter how difficult those tasks were. Through our Kubernetes journey, we created reproducible patterns for application teams to use to make things even easier.

Speedscale is proud to announce its Centralized Log Collection capability. When diagnosing the source of problems in your API, more information is better. For most engineers, the diagnosis process usually starts with the application logs. Unfortunately, logs are usually either discarded or stored in Observability systems that engineers don’t have direct access to. Compounding this issue is that the log information is typically not correlated to what calls were made against the API.