Systems | Development | Analytics | API | Testing

Learn different methods for inspecting web elements on Mac devices to debug your websites and ensure a seamless user experience.

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

We are excited to share the release of our new Cost Calculator to showcase just how much the wrong APM provider can add to your cloud hosting costs (try it now). Observability is vital, but it comes with computational overhead that shares the same infrastructure as your application. This is compounded in typical Node.js APM tooling due to the internal workings of Node.js itself.

APIs and business logic is an essential tool when planning API integration. Because the first steps to API integration include accommodating the customer experience and establishing your current technology level, your unique business logic is the key to understanding where your business is and how to move forward. It can also serve as a roadmap to building your own composable enterprise.

The Confluent Schema Registry plays a pivotal role in ensuring that producers and consumers in a streaming platform are able to communicate effectively. Ensuring the consistent use of schemas and their versions allows producers and consumers to easily interoperate, even when schemas evolve over time.

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement—to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation. And just as financial services experiences its cycles, this time of year I find myself returning to the topic of cost reduction.

In the first part of this series, we built the asynchronous components of a much larger solution. Today, we will build the API interface that can be consumed in real-time.

In part one of this series, we looked at some basic usages of Action Policy. Now we'll leverage Action Policy for more advanced authorization use cases. First up, let's explore applying pre-checks.

An overwhelming amount of data is generated daily (we're talking quintillions of bytes). For businesses, the amount of raw data coming in each day makes uncovering insights a challenge. Luckily, data mining gives your organization the ability to dig past what's raw to uncover patterns in your data sets. These patterns can result in business insights that help you make more informed decisions. Data mining tools simplify this process.

In data engineering and analytics, "Data Mart" and "Data Warehouse" are often used interchangeably. However, they serve distinct purposes and have unique characteristics. Understanding these differences is very important as businesses rely heavily on data-driven insights. This article explores the complexities of Data Marts, Data Warehouses, and the emerging concept of data lakes, showing their functionalities, benefits, and how they fit into the broader data ecosystem.