Systems | Development | Analytics | API | Testing

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Justin Pincar, CTO and Director of Engineering at Achievable.

Having great design or top-performing content is not enough. A good website should also load your web pages quickly and efficiently. Web page load time or page speed measures how long it takes for a web page to fully load. In an eCommerce website, visitors will feel more comfortable browsing products when each product page loads almost instantly. Thus, learning how to optimize your website in every way possible is a solid investment in your website.

We’re excited to announce the release of Kong Mesh and Kuma 2.2. This new minor release adds some long-awaited enterprise features, more incremental improvements to our UI and policies, and many more minor features and bug fixes. In order to take advantage of the latest and greatest in service mesh, we strongly suggest upgrading to Kong Mesh 2.2. Upgrading is easy through kumactl or Helm.

Agile teams must adapt to changing requirements and continuously ship new features. But, while automated tests are faster, they take time to set up and still need ongoing maintenance. So, how do you decide when to invest time and energy in test automation and when to use manual tests? Striking the right balance is critical to success.

In our previous Countly Digest, we delved into the top concern of product managers and analysts: tracking user behaviour. It is a crucial aspect of product analytics, as it enables companies to understand user behaviour and preferences, leading to better product development and increased revenue. ‍

Software compatibility testing is a subset of non-functional testing that guarantees that a software application will run correctly on a wide variety of platforms, including but not limited to browsers, databases, OSs, mobile devices, networks, and hardware setups. If you want your apps to run smoothly and your customers to be happy, compatibility testing is a must.

Get up and running with automated testing and deployment of your Flask app using GitHub Actions and Heroku.

We launched the Mobile DevOps Assessment, then shared the results. Now it’s time to look at 5 apps, like Reddit and Wise, that reached Mobile DevOps maturity and the metrics that helped them get there.

Data ingestion is an important component of any successful data initiative. It refers to the process of collecting data from multiple sources and loading it into another system. Businesses most commonly use a subtype of data ingestion called ETL (extract, transform, load), which allows the data to be transformed before it's loaded. This extra step provides many benefits. Most importantly, it allows organizations to automatically match and correlate data from a variety of different sources.

Businesses today know that operational efficiency, effectiveness, and productivity are keys to competitive advantage. And process automation tools are being adopted more and more because they help IT and business leaders turn those goals into reality. If you’ve spent time researching ways to boost efficiency by taking advantage of automation opportunities, you’ve likely come across the related terms hyperautomation (which is synonymous with process automation) and intelligent automation.