From front-end to fullstack
Martini Desktop v.1.2.0 introduces polyglot support, enabling front-end developers to become full stack developers without learning a new language.
In an IT department, it is common to see some sort of delineation between front-end and back-end developers.
Front-end developers typically work with anything related to website or application design whilst back-end developers implement the services containing CRUD database operations, security, application logic, and workflows.
Toro Cloud is blurring the lines between front-end and back-end development with the introduction of polyglot support in the latest release of Martini Desktop v.1.2.0.
Polyglot programming is the practice of writing code in multiple languages, helping developers become more flexible while allowing them to capture additional functionality which is otherwise not available using a single language.
Martini is a low-code iPaaS that enables developers to do things like design an API, build the services behind an API, create or integrate applications, manage data, and automate workflows.
Being low-code, much of the work can be done without any coding at all. But “low-code” doesn’t equal “no-code”. No-code solutions are typically templated based solutions targeted at small business or citizen integrators.
Enterprise customers typically have more complex requirements requiring custom workflows, logic and data transformations. A low-code platform like Martini can significantly reduce (and sometimes completely eliminate) the repetitive cookie-cutter functions commonly required when implementing services for APIs, manipulating data, and securing an application.
In fact, a whole development team can start taking advantage of polyglot development:
Mix and match talent on projects using a developers language of choice;
Front-end developers can get involved in the full lifecycle of API development, manage and manipulate data, integrate applications or build workflows;
DevOps can consume APIs from public cloud providers and automate tasks in Bash;
Data scientists can write expressions and functions in Python to analyze and manipulate the data required for data streaming and machine learning applications.
Sydney, Australia based Toro Cloud was originally founded in 2014 by Australian founder and CEO, David Brown. Toro Cloud employs around 50 people. The company was funded with seed capital in excess of USD $1M by its founder and has bootstrapped its operations since that time. Toro Cloud's mission is to offer its customers a dramatically easier way to build, manage, and deploy solutions for the digital transformation of an enterprise.
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