Systems | Development | Analytics | API | Testing

Gone are the days of painful plain-text log management. While plain-text data is still useful in certain situations, when it comes to doing extended analysis to gather insightful infrastructure data – and improve the quality of your code – it pays to invest in reliable log management tools and systems that can empower your business workflow. Logs are not an easy thing to deal with, but regardless is an important aspect of any production system.

In the context of software development, automating repetitive tasks and accelerating application development is the name of the game. Hence, having a versatile language with faster and more efficient results at your disposal is a must. Groovy Scripting will save your day! Groovy scripting is a dynamic language with a range of features and functionalities specifically around automation and rapid application development.

How easy would our lives be, as programmers, if our applications behaved correctly 100% of the time? Unfortunately, that’s not the case: things go wrong, often in serious ways. In order to offer the user the best possible experience—and also understand what went wrong so you can fix it—your application needs to handle its errors, and that’s why error handling is an important part of any application.

In our data-driven world, the landscape of product analytics is rapidly evolving. With the rise of Artificial Intelligence (AI) and Machine Learning (ML), we're seeing a seismic shift in how businesses approach product development and enhancement. But how does AI and ML fit into product analytics, particularly for non-technical business leaders and marketers? And more importantly, what does this mean for the future?

An overview of common low-hanging fruits to help you get started with machine learning.

The success of businesses like Zoom, DropBox, and Slack demonstrates the power of product-led growth (PLG) as a strategy for scaling software companies in 2023. Central to this approach is event analytics, the practice of analyzing event data from a software product to unlock data-driven insights. Companies following a PLG strategy (“PLG companies”) use this data to inform product development decisions to enhance user experiences and drive revenue.

Earth Engine and BigQuery share the goal of making large-scale data processing accessible and usable by a wider range of people and applications.

Process efficiency might not be flashy, but its impact is substantial. Improving process efficiency—from developing new applications faster to automating manual tasks—can amount to millions in savings. According to a Total Economic Impact™ (TEI) study, conducted by Forrester Consulting and commissioned by Appian, a composite organization comprised of interviewees with experience using Appian realized: How exactly are customers realizing these benefits?

Integrations are everywhere, and data-sharing between systems is more vital than ever. Software applications use application programming interfaces (APIs) to ensure all moving parts work together. A REST API follows specific guidelines that dictate how applications or devices connect and communicate with one another to make integrations simple and scalable.

Delivering high-quality software solutions quickly and effectively is crucial for competitiveness in today's fast-paced digital environment. By removing barriers between the development and operations teams, DevOps has changed the software development process and allowed businesses to deploy products more quickly and collaborate more effectively. However, this speed increase may also provide new difficulties in preserving software quality.