Author: Narasimha Rao Konangi

Unit testing is a fundamental practice in software development that focuses on testing individual units of code, typically at the function or method level. A unit is the smallest testable part of an application, such as a function, method, or class. The objective of unit testing is to verify that each unit of code works as expected in isolation.

Here Are Some Key Aspects of Unit Testing

Isolation

Unit tests are designed to be independent and isolated from other units of code. This means that each unit(a.k.a functions, methods) is tested in isolation, without dependencies on other units or external resources. This is usually achieved by using test doubles, such as mock objects or stubs, to simulate the behavior of dependencies.

In today's AI/ML revolution, data is the most valuable asset for organizations to succeed and outperform competitors. To unlock the potential of data, organizations must migrate or modernize their legacy data platforms to cloud-native solutions. Google Cloud Platform offers top-notch tools for running optimized data platforms. This article explores the migration process of big data platforms to Google Cloud BigQuery.

Migrating big data to Google Cloud BigQuery brings numerous benefits, including enhanced scalability, elasticity, and security. Although the process can be complex and time-consuming, it offers significant advantages. Various approaches exist for big data migration, and the ideal approach depends on the specific needs and requirements of each organization.

Serverless computing has revolutionized the process of building and deploying modern applications. It offers a demand-driven approach to backend services, eliminating the need for users to manage supporting infrastructure. With auto-scaling capabilities, serverless services allow businesses to pay for the exact resources they utilize, leading to cost optimization. Although servers are still utilized, developers are relieved of the responsibility of server management and monitoring.

Historical Context

In the early days of the Internet, creating a web application required purchasing expensive and bulky hardware to run a server. The introduction of cloud computing allowed users to remotely rent fixed quantities of servers or server space. However, this often led to over-provisioning to avoid exceeding monthly limitations due to sudden increases in traffic. Cloud providers introduced auto-scaling models to address this issue, but unexpected spikes in activity like DDoS attacks remained costly.