Apache Kafka has gained traction as one of the most widely adopted technologies for building streaming applications - but introducing it (and scaling it) into your business can be a struggle. The problem isn’t with Kafka itself so much as the different components you need to learn and different tools required to operate it. For those motivated enough, you can invest money, effort and long Friday nights into learning, fixing and streamlining Kafka - and you’ll get there.

We are going to be covering how to deploy a React Native Expo app to Appetize, a platform that lets you run mobile apps in your browser.

When something crashes in an app, fixing the bug is usually quite straightforward. But apps can also be blighted by bugs that don’t result in crashes, and this is where things start to get interesting. To find and fix these bugs, you will require as much information as possible and probably a combination of tools. Let me explain a process we know as ‘bug forensics’, based on a real bug that has impacted one of Bugfender’s customers.

For any API-first company, implementing the right API analytics platform is critical for tracking the utilization of your APIs and to discover any performance or functional issues that may be impacting customers. There are a variety of open-source projects you can leverage to build a complete API analytics platform. Before jumping into building an API analytics solution yourself, you should first list out your requirements and use cases.

Data Engineers are forever flying the flag for open-source technology. But now that we’re safely locked away in our homes - potentially for the rest of the year - a new danger looms: That we get distracted by our new data tools and lose touch with delivering value to the business. Today most Data Engineers around the world are working from home, and at first glance it may seem like this works. After all, a solid internet connection is all we need to carry on doing what we were doing...

Fast-growing software companies are building data applications for a variety of uses, from marketing apps that provide customer insights, to IoT apps that handle device feedback, and data analytics apps that process both historical and near real-time data. But developers often face obstacles when building, designing, and supporting applications that need to parse large volumes of information.

In addition to the very real negative impact on every person around the world, the COVID-19 pandemic is driving business disruptions and closures at an unprecedented scale. Enormous government stimulus programs are resulting in explosions in fiscal deficits, regulators are relaxing capital constraints on banks and central banks are supporting economic stability with a range of interest rate cuts and other stimulus measures.

Here we are for yet another new release of OctoPerf. We’ve actually released two minor versions since the last update post, but this time we will also release a long awaited feature, Microsoft Azure on demand load generators!