Systems | Development | Analytics | API | Testing

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Countly's Product Analytics for The Privacy-Conscious Crypto Market

This article is part of a mini-series showcasing how Countly serves various industries. If you're interested in exploring product analytics from different market perspectives, these articles might be helpful: This isn't our first discussion about the crypto market in relation to product analytics and data privacy. While we’ve previously explored topics like NPS and crash analytics, in this article, we'll take a more comprehensive approach, addressing the following questions.

A Practical Guide to Calculating Test Automation ROI

According to BMC research, 90% of development managers believe that automating a large number of test cases may become the key to their success as the pressure on IT to accelerate innovation intensifies. However, automating testing processes involves an initial investment, and the benefits can vary between teams driven by multiple forces including the application architecture, number of platforms, and the automation technology choices.

Enhancing Interoperability and Streamlining Prior Authorization: A Look into CMS-0057-F

The Centers for Medicare & Medicaid Services (CMS) has taken a significant step forward in advancing interoperability and improving prior authorization processes with the publication of the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F).

What is Data Observability? A Complete Guide

Data observability is a process that actively monitors an organization’s data for accuracy, health, and usefulness. It is the ability of an organization to have comprehensive visibility over its entire data landscape, including data pipelines, infrastructure, and applications. Data observability allows the organization to quickly identify, control, prevent, remediate, and fix data outages, all within agreed service level agreements (SLAs).

How to Build the Best Analytics Experience for Your SaaS Product

For any product team with a Software as a Service (SaaS) application, the significance of embedding capable, reliable analytics is well understood. But it’s important to remember how valuable these tools are for your users’ experience, too. Having fast access to data and easy ways to explore it is, as you know, key to monitoring business performance, finding trends, sharing insights, and improving your core product. Today’s business user also wants more when they use your product.

Sending email in Laravel with Mailgun

As a web developer, you will often need to send emails from your application. In fact, if you've been a developer for more than a few months, you've probably already had to do this. You might want to send emails for a variety of reasons, such as sending a welcome email to new users, sending a password reset email, or sending a notification to a user. Laravel makes it easy to send these types of emails to single recipients, thanks to some handy features such as mailables and notifications.

Introduction to Automation Testing Services: What You Need to Know

Quality can feel elusive in this rapidly changing world of software development where applications are in constant flux. Quality can feel elusive in this rapidly changing world of software development where applications are in constant flux. Automation testing services make their way into the scene- a radical innovation that rationalizes the entire testing process: time and resources saved result in a better product delivered ultimately.

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.