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.

How should you go about setting KPIs across departments, from sales and marketing, to finance and customer success? Here are the most important KPIs to track in your company.

This release contains the work of over 10 contributors split over more than 100 commits. v0.29.0 contains a whole bunch of new, exciting features. We hope that you'll enjoy it as much as we do! Read the full release notes here.

Having an effective test automation system is an absolute necessity in today’s agile software development environments. Automation works great, especially in case of smoke and regression tests and helps the QA teams to easily create and execute test cases that are complex in nature. Though automation can act as a power booster for your product pipeline of development projects, there are certain pitfalls in automation which slow down the automation pipelines if not tackled upfront.

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.