When we were building out our first UI at Speedscale we wanted to get something up and running quickly. Fortunately there are a ton of options of web frameworks that can be used to throw together a quick “hello world” kind of application. However, a SaaS application needs a lot more than just displaying data. It needs to handle user authentication, loading data from a backend API, displaying data in a variety of formats, etc.
One of the struggles developers face is how to catch all Python exceptions. Developers often categorize exceptions as coding mistakes that lead to errors when running the program. Some developers still fail to distinguish between errors and exceptions. In the case of Python application development, a python program terminates as soon as it encounters an unhandled error. So, to establish the difference between errors and exceptions, there are two types of errors.
Imagine if you bought a beautiful lake house, invited all your friends to come and visit, and the lake was dry? Not much value and a little embarrassing, right? Now imagine you have that beautiful lake house and you have special water valves to control not just if there is water in the lake but also control the water quality, clarity, and what fish the lake is stocked with? Much more impressive, correct?
Here at Cloudera, we’ve seen many large organizations struggle to meet ever-changing and ever-growing business demands. We see it everywhere. Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done.
One of the things that I'm really passionate about is great design. Design is important in all aspects of our lives and it's really important for analytics as well. When you're the recipient of bad design, you know it immediately. Have you ever seen those emails that have been completely misaligned or sat through a PowerPoint where everything is in the wrong colors and fonts? How does it make you feel?
User feedback is a key element to our success and directly influences our roadmap and where we invest and innovate. This feedback fuels our drive to deliver truly impactful capabilities – ones that accelerate business value, drive ROI and lower TCO.
A Proof of Concept in Automation testing deserves a thorough preparation and implementation to verify the automation venture. Once it is done right, the QA team can leverage valuable insights to have timely adjustments for the application of automation testing.
Kong is excited to participate in Amazon Web Service’s (AWS) APN TV pilot program. This series of demonstration videos from AWS partners focuses on modern application development through the practice of DevOps – a perfect fit for Kong’s service connectivity platform. Microservice architecture involves building software as suites of collaborating services.
We’re very pleased to have Kin Lane, the Chief Evangelist of Postman, joining us today. He has spent the last decade helping organizations think through their API lifecycles and how to optimize their business processes. He continues to be a prolific writer on his famous blog site, the API Evangelist. Kin shares his perspectives on API governance, guidelines for deprecating & versioning, and interesting implementations he’s see with Postman Collections, amongst many others.
