Systems | Development | Analytics | API | Testing

It’s remarkable how many systems can manage unexpected performance demand, scaling resources and continuing operations. Yet truly unexpected demand can still apply enough stress to a system that it crashes. Here, we’re going to examine two failures that resulted from a single corporate controversy.

As every data engineer and analyst can attest, generating reports is one of the most time-consuming and human error prone activities in the day-to-day life of data analysts. Luckily, with the development of technology, data reporting can now be done automatically, which saves you time and reduces mistakes. In this article, you will learn.

Data quality is fairly simple nomenclature to describe the state of the data being processed, analyzed, fed into AI, and more. But this modest little term belies an incredibly critical and complicated reality: that enterprises require the highest level of data quality possible in order to do everything from developing product and business strategies, and engaging with customers, to predicting the weather and finding the fastest delivery routes.

GitHub Actions is a powerful continuous integration and continuous delivery (CI/CD) platform that allows developers to automate build, test, and deployment pipelines. Workflows automatically build and test code whenever an event occurs, such as a pull request or a deployment of merged pull requests to production. Best of all, you can use it without leaving the comfort of your own repository!

In this article, Julie Kent discusses using associations in Rails when the underlying data model spans multiple databases. We didn't even know Rails could do this!

Data governance is the process of managing and protecting data throughout its lifecycle. It involves establishing policies, procedures, and standards for how data is collected, stored, used, and shared. This requires systems that are complex to be put in place by several stakeholders across the organization. Many organizations look at selecting the right software to implement a framework.

With the evolution of technology, the way users interact with websites has drastically evolved. Functionalities such as filling out a form and login now take just a few clicks instead of manual efforts from the user’s end making interaction with websites and web applications more rapid, reliable, and interactive.

Have you ever considered how much data a single person generates in a day? Every web document, scanned document, email, social media post, and media download? One estimate states that “on average, people will produce 463 exabytes of data per day by 2025.”

The lingering effects of the global pandemic are merging with inflation to create a perfect storm for retailers looking to find the right inventory stature for the seasons ahead. Companies are getting squeezed between rising supply chain costs and falling consumer confidence. To succeed in this volatile market, McKinsey suggests that retailers “accelerate decision-making tenfold.”

The Ably Terraform provider greatly simplifies the provisioning and managing of realtime architectures that include Ably via HashiCorp Terraform. Our growing reliance on realtime applications is highlighted both by the impact of incidents such as WhatApp’s latest outage, and by an exponential growth in use cases for realtime technology. This growth is spurred on by the fast adoption of dynamically orchestrated, microservice-oriented cloud architectures.