Systems | Development | Analytics | API | Testing

Latest News

Ansible vs Jenkins

One of the challenges when you’re starting out with Development is getting the lay of the land. There are a lot of tools out there. And when one of the goals of Development is continually improving your processes, it’s important for you to understand how those tools might fit in your infrastructure. At the same time, you want to be efficient. You don’t want to add tools that overlap with one another. Or tools that cost more than other effective alternatives.

4 Examples of Microapps: How Enterprises Use Microapps to Streamline Operations

Microapps are modular pieces of software that perform a specific action – as opposed to a larger monolithic application that incorporates many features. Although they run independently like any app or website, microapps are small, simple, autonomous, and they allow you to perform a single task without necessarily leaving the environment you’re currently using. Since they’re modular, connecting a microapp to an existing application is an easy way to extend and simplify its functionality.

The 5 Best API Management Solutions

We’re reviewing the 5 Best API Management Solutions. APIs are the glue that binds the digital world together. Internal APIs allow data to flow elegantly through your tech stack, while external APIs allow developers to build applications that are secure and reliable on top of third-party services. APIs are generally easy to use, as long as they are well-written and equally well documented.

The challenges you'll face deploying machine learning models (and how to solve them)

In 2019, organizations invested $28.5 billion into machine learning application development (Statistica). Yet, only 35% of organizations report having analytical models fully deployed in production (IDC). When you connect those two statistics, it’s clear that there are a breadth of challenges that must be overcome to get your models deployed and running.

Why DevOps is Important for Modern Businesses

We are certainly in a faster-paced world. As we move forward, organizations need to get out of their silos and follow a more collaborative and efficient process to achieve excellence. Organizations that adopt DevOps are able to evolve and improve software products much faster when compared to those that use traditional software development processes. DevOps is a bridge between development and operations in an organization and aims to improve productivity as a whole.

Centralized Kong Management with Active Directory/LDAP

Kong Enterprise provides customers with the fastest, most scalable and flexible API management solution in the market. One of Kong’s main advantages is the ability to quickly deploy and integrate with a customer’s ecosystem of already-deployed solutions for identity management and monitoring. As customers choose Kong to drive the decentralization of their applications, it’s critical to empower teams for end-to-end deployment while maintaining security and compliance.

One billion files in Ozone

Apache Hadoop Ozone is a distributed key-value store that can manage both small and large files alike. Ozone was designed to address the scale limitations of HDFS with respect to small files. HDFS is designed to store large files and the recommended number of files on HDFS is 300 million for a Namenode, and doesn’t scale well beyond this limit.

How to Use Lambdas in Ruby

Lambdas are a powerful feature of the Ruby language. They allow you to wrap logic and data into a portable package. In this post, we’ll cover how and when to use lambdas. You'll also learn about the difference between lambdas and Procs, and the performance profile of lambda functions. The code examples have been tested with 2.6 and 2.7 and should work with most modern Rubys.

Remote Debugging: Everything You Need to Know

Nowadays, the term ‘remote debugging’ instills fear into even the bravest of dev hearts. Palms sweaty, knees weak, and arms ready (to code) they dive into what they’re sure will end in much pain and possibly a few broken pieces of code. This scenario and these feelings are common to devs everywhere, where many opt to take the trusted path of debugging on their *own* machines.