Systems | Development | Analytics | API | Testing

Kong Mesh & Kuma 2.2 Released with Global Rate Limiting, OpenTelemetry, and More

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.

Should You Automate It? Knowing When to Build Test Automation and When to Keep It Manual

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.

Ensuring Data Privacy in Product Analytics: Why Is It Important, and How To Do It?

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: its Importance, Types & Categories

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.

Marketing and advertising data extraction made easy

Watch this video for a brief explanation of how to get all your ad campaign analytics data out of your ad platforms and see it all in one place without any coding, API extraction, or manually compiling data. Stitch partners with the most common ad platforms to help move your data from sources like Google Ads, Linkedin Ads, Facebook Ads including Instagram, TikTok for Business, Snapchat Ads, Adroll, Microisoft Bing Ads, and more into any data warehouse or data lake.

Top 11 Data Ingestion Tools for 2023

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.