Unlike traditional testing methodologies - that rely heavily on pre-scripted tests and automated tools - Human-Centric Exploratory Testing (HCET) is a dynamic and flexible approach that leverages creativity and critical thinking, allowing interaction with the software in ways that automation simply cannot replicate. Below, we explore Human-Centric Exploratory Testing, its benefits, challenges, how to mitigate them, and the best practices for successfully implementing it.

While cloud computing adoption continues to accelerate due to its tremendous value, it has also become clear that edge computing is better suited for a variety of use cases. Organizations are realizing the benefits of processing data closer to its source, leading to reduced latency, security and compliance benefits, and more efficient bandwidth utilization as well as supporting scenarios where networking has challenging constraints.

Quality gates are just what they sound like: They ensure the delivery of high-quality software by serving as quality milestones (or “gates”) during various stages of the software development lifecycle (SDLC), preventing bad code from passing through. Here, we explain what are quality gates, how they work, and how to implement them using static analysis. Read along or jump ahead to the section that interests you most: Manage Your ci/cd pipeline with Static Analysis.

Confluent is thrilled to be named Microsoft’s 2024 OSS on Azure Global Partner of the Year. As a three-time Partner of the Year award winner, this recognition reflects our commitment to delivering outstanding open source-based applications and infrastructure solutions on Microsoft Azure.

Data’s rising importance for businesses has also increased the necessity of tools and technologies to manage it efficiently. A data warehouse is a reliable solution as it effectively stores your data and keeps it ready for analysis. Understanding Snowflake and SQL Server’s pros and cons can help you choose the right solution for your data warehousing requirements.

Until recently, customers didn't have an easy way to send data from Confluent’s data streaming platform to Amazon OpenSearch. They had to either write custom code using AWS Lambda as an intermediary, refactor the HTTP Sink connector, or self-manage an old Elasticsearch connector version. Earlier this year, we announced the fully managed OpenSearch Sink connector, providing a seamless way to sink data from Confluent to Amazon OpenSearch.