Systems | Development | Analytics | API | Testing


Databases Compared: Databricks vs. Snowflake vs. ChaosSearch vs. Elasticsearch

For organizations that generate large amounts of data, implementing a cloud database solution is a critical step towards enabling performant and cost-effective data storage, transformation, and analytics. Choosing the right cloud database solution involves careful consideration of features, capabilities, costs, and use cases to ensure alignment with your organization’s needs and objectives. This blog post features an in-depth comparison of four popular cloud database solutions: Databricks vs.

Implementing iOS Universal Links for Enhanced App-Web Navigation

Universal Links are an iOS feature allowing seamless integration between web content and native iOS apps. With iOS Universal Links we can intelligently configure a specific web URL, associating it with our iOS app so it will open directly when the URL is clicked.

Write Better Code Using Swift Enums: A Detailed Guide

In Swift, an enum (short for enumeration) is a powerful feature that allows us to define a data type with a fixed set of related values so we can work with those values in a type-safe way within our code. In this article we’ll be taking a closer look at Swift enums and their applications in Swift, as well as providing some real-world examples of how we could deploy them in our builds.

Adding Colour To The Log Output Of Logging Libraries In Go

Logging is an integral part of software development, providing developers with valuable insights into the behaviour and performance of their applications. In the Go programming language, various logging libraries, such as the standard library’s log package or third-party options like logrus , zap and zerolog, facilitate the generation of log output.

Complete Guide to SwiftUI Lists for Developers

Whether it’s the groceries you need from the store, the chores your mom left on the kitchen counter for when you got home from class, or even things to do before you die, lists are everywhere. Presenting data in a column (or a list) is the most familiar and natural way to organize information in both the analogue and digital worlds.

Inside the Modern Data Analytics Stack

Data analytics is nothing new. For decades, businesses have been deploying a "stack" of data analytics tools to collect, transform, evaluate and report on data. However, as data has grown larger in volume, and as the ability to analyze data quickly and accurately has become ever-more important to business success, the data analytics stacks that businesses depend on have evolved significantly. So, if you haven't taken a look at data analytics stacks recently, they're worth revisiting.

Complying with Apple's New Privacy Requirements in the App Store

One of the latest changes introduced by Apple is that developers needs to describe the data your app or third-party SDK collects and provide the required reasons of the APIs it uses. To do so, applications and third-party SDKs that are distributed as XCFrameworks, Swift packages, or Xcode projects, need to contain a privacy manifest file, named PrivacyInfo.xcprivacy. Table of Contents.

How to Calculate Log Analytics ROI

Calculating log analytics ROI is often complicated. For many teams, this technology can be a cost center. Depending on your platform, the cost of a log management solution can quickly add up. For example, many organizations use solutions like the ELK stack because the initial startup costs are low. Yet, over time, costs can creep up for many reasons, including the volume of data collected and ingested per day, required retention periods, and the associated personnel needed to manage the deployment.