Learning & Growth
InRhythm was built on a foundation of learning and growth.
At InRhythm, we are committed to keeping toolkits sharp and learning new technologies with certifications and training programs. We also host boot camps to train others along with Lightning Talks to share knowledge.
Accelerate Your Career
Technology changes at a torrential pace. To continue to bring value to our partners, we innovate and match strides with a rapidly evolving technology landscape.
To ensure we are always learning and growing, we encourage trial and error, respect the challenging of norms, and welcome thought-provoking ideas. Our teams learn from each other through comprehensive workshops, work on innovative projects and partner with thought leaders to help advance an industry we are all passionate about.
Learning comes in various forms and it is our job to support you in your growth with that knowledge. As an InRhythmer, you’ll be challenged to absorb the unfamiliar and educate others on your discoveries.
Our Blog
Why you should migrate away from Angular JS
… we have seen the impact that migrating legacy applications has for many of our customers, and it is massive. Not only do applications come alive and look and feel more modern, but engineers come to work in a better mood and eager to get things done, and a true engineering culture is fostered.
SwiftPM – The Swift Package Manager
The Swift Package Manager is Apple’s tool for managing package dependencies for Swift application development. SwiftPM has been an integrated part of Swift since v3.0.
State Management: Redux vs. MobX Comparison
Using State Management introduces a structured workflow in the application and makes obtaining the application State trivial.
Apache Kafka Overview
Apache Kafka is an open-source, distributed event-streaming platform, or message queuing system. Kafka provides real-time data analysis that runs on servers and clients, either locally or in the cloud, on Linux, Windows, or Mac platforms. Kafka’s messages are persisted on disk and replicated within the cluster to prevent data loss.
