Systems | Development | Analytics | API | Testing

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?

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.

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.

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.

Considerations when moving your Apache Kafka to the cloud

Are you running your organization's Apache Kafka on-premise? If you are and you’re still reading this article, it’s more than likely that Kafka is or will be a keystone of your data infrastructure. But it’s also likely your teams are tired of the cost and complexity required to scale it, meaning your honeymoon with Kafka is coming to an end. So what does the imminent migration mean?

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.

The Train Has Left the Station for the Last Time

We have three big announcements to our community today, and I wanted to talk to you about them: One, Allegro Trains is changing its name, two, we’re adding a completely new way to use Trains, and three, we’re announcing a bunch of features that make Trains an even better product for you! Read all about it on our blog at Clear.ml, our new website for our open source suite of tools.