Microservices are a type of architectural style for building software that has been gaining popularity. The concept was first introduced at a tech conference in 2011 and has been adopted by many Agile enterprises such as Netflix, Amazon, Uber, SoundCloud, Groupon, eBay, to name a few. So, what are microservices? What are the benefits of microservices? And why are so many large enterprises have been implementing this method into their DevOps and continuous testing strategies?

As we grow our footprint globally, we’re gaining strong momentum in the UK. We recently added several fast-growing, London-based organizations to the Kong Enterprise community. These organizations are turning to Kong to help power their core business applications and accelerate application development as they shift to microservices-driven architectures.

Stitch is a very simple yet very powerful cloud service which connects to a diversity of data sources. It is a very user-friendly ingestion system and works in a very simple format. Stitch connects to the data sources, pulls the data and loads the data to a target. In this blog, I am going to connect to Amazon S3, read a file and load the data to Snowflake but first let’s understand few concepts of Stitch. For Stitch to work you need an Integration and a Destination.

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So far, in our blog series Data Integration Best practices, we have covered the different types of high-level and low-level problems occurring in data integration projects. We have also addressed the different types of integration, the systems that move data and even the pricing aspect of such a project. Ten articles later, we arrived at best practices moving forward. In this last chapter, we are going to talk about some tips that revolve around preparing for and running an integration project.