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Building Kong Clusters in AWS with the Terraform API Gateway Module

We created the Terraform API gateway module to help you follow DevOps best practices while implementing Kong using infrastructure as code (IaC). Terraform is an open source tool that allows you to implement IaC using a declarative declaration definition. This Terraform module is the reference platform maintained by Kong for potential and existing customers to quickly set up both Kong Gateway and Kong Enterprise for demo and PoC environments.

Kafka Total Cost of Ownership: What are you missing?

“We’ve seen two years’ worth of digital transformation in two months” said Microsoft’s Satya Nadella. Due to COVID-19, digital transformation roadmaps have been deleted, redrafted, doubled down and accelerated by up to a decade. Traditional companies are moving by osmosis towards streaming technologies such as Apache Kafka to kick off new digital services. But how much should it cost to experience 2030 in 2021?

How to Authenticate using Azure Active Directory

DreamFactory’s Azure AD connector makes it easy to use an Azure Active Directory tenant for API authentication. By using Azure AD Application Roles it is also possible to assign Users and Groups to DreamFactory roles from the Azure Portal. In this example, we will show how to quickly configure DreamFactory with the proper metadata from Microsoft Azure Active Directory (Azure AD).

Kafka infrastructure, monitoring, data - Which is your priority?

At the heart of Kafka is real-time data. With data at the center of any Kafka environment, it should be the area that gets the most attention, but typically it gets the least. This happens because we see most organizations split their Kafka efforts into three areas: infrastructure, monitoring, and data operations.

Testing a mobile application: an examination of strategy and tools

Mobile phones have taken over the world in a way few technologies and inventions have been able to in the past. The far-reaching repercussions of such a widely accepted adoption can be felt in all fields of life, from education to tourism. As mobile phone usage and internet penetration continue to grow at unprecedented rates, competition amongst developers is also at all-time heights. Hence, quality control and assurance within the mobile application development sector has become vital.

Updates from Bugfender Q4, 2020

Welcome to the Bugfender winter newsletter! We hope you had a great Christmas and new year. This quarter we’re bringing you a lot of insightful information on our blog. Take a good cup of coffee and find our latest recommended articles below. But first, let’s kick-off with the latest updates as we do on every quarterly newsletter: We hope you find all these updates useful!

Building, Testing and Deploying AWS Lambda Functions in Ruby

For quick, scalable, highly-available web services, few options compare to AWS Lambda. Just provide your code, add a little configuration, and you're done! In this article, Milap Neupane will introduce us to Lambda, show us how to get it working with Ruby and the Serverless Framework, and discuss reasons to use — or to not use! — Lambda in production.

Lessons Learned on Operationalizing Machine Learning at Scale with IHS Markit

According to Gartner, over 80% of data science projects never make it to production. This is the main problem that enterprises are facing today, when bringing data science into their organization or scaling existing projects. In this session, Senior Data Scientist Nick Brown will share his lessons learned from operationalizing machine learning at IHS Markit. He will discuss the functional requirements required to operationalize machine learning at scale, and what you need to focus on to ensure you have a reliable solution for developing and deploying AI.

Android Studio and Xcode app debugging with Breakpoints: How to from Zero

To kick off our series on debugging for software developers, we tell you how to build breakpoints step by step using Xcode and breakpoint Android Studio to isolate key information about your app’s performance, and save crucial time during the process.