Python

Heavyweight Stream Processing Frameworks are another foundation/pattern to build your microservices. These frameworks are highly scalable and allow you to efficiently solve many analytical tasks. But they are not always good for stateful event-driven microservice application patterns. Heavyweight frameworks operate using centralized resource clusters, which may require additional operational overhead, monitoring, and coordination to integrate successfully into a microservice framework. However, recent innovations move these frameworks toward container management solutions (CMS) such as Kubernetes that should reduce your efforts.

There are a number of businesses and business tasks when it is necessary to visually design, change and control the execution of business processes.

Large companies like SAP, IBM, Oracle play in this market and offer their heavy and expensive solutions.

But there is also a lighter and cheaper solution in this field.

There is a known issue in Python - you have to choose between sync and async code models. And if you are using async code you can call sync code but from that code you CAN’T call async code again. Why does this problem occur? The event loop used by the async code is already stuck waiting for the result from the sync code. And if you want to call async code now, you cannot reuse the same event loop.

🚆✈️🚌🛳 + Math + Highload + Machine Learning… Two and a half years ago we’ve got a request from the Travel-business IT company, whose B2C IT solution is the basis for one of the world’s largest travel companies that serves over 1 billion passengers every year. What did they want to achieve? They wanted to quickly design and implement an “internal startup” - an innovative B2B/B2C solution for the travel industry.