Transformation Pitfalls and Best Practices
Interested in transformations? Avoid these pitfalls and embrace these best practices to get the most out of data transformation.
Interested in transformations? Avoid these pitfalls and embrace these best practices to get the most out of data transformation.
With the growing demand for online communication, there has been a noticeable increase in platforms to provide just that. With such service comes high expectations in quality and usability to become the best! We hear about those high expectations quite often, some people developing video calling applications that use CPaaS expect them to work and scale perfectly and don’t load test their own applications.
For most of my software engineering career, my experience with DevOps was all about configuration management. But after many years of experience with some key mentors, I began to see DevOps as so much more. In this article, I’ll summarize my DevOps evolution from a high level. If you’d like to go further in-depth, check out the recording from my Destination: Automation presentation below.
The global increase of realtime data is spurred on by the steady rise of user demand for realtime digital experiences - from virtual events, news, and financial information to IoT devices. The Ably platform has been providing realtime infrastructure for over 5 years now , and we’ve seen, and helped, the demand increase first-hand. A few years ago, our customers only had realtime requirements for one or two specific features, usually around firing updates and notifications.