Joydip Kanjilal

Mar 6, 2025 | cloudnativenow.com | Joydip Kanjilal

With technological improvements, there has been a need for secure, faster deployment and a way to make software applications portable. Traditional approaches required shipping the dependencies together with the application to enable it to run on the target machine. Moreover, this approach had several challenges regarding security, dependency resolutions, deployment consistency and application portability. Enter containerization.

Feb 28, 2025 | devops.com | Joydip Kanjilal

Generative AI, a subset of AI, is a new technology that can create content in different forms, such as text, images and videos. Integrating generative AI into DevOps practices can benefit an organization’s business processes. This article addresses the advantages, obstacles and opportunities concerning blending and integrating generative AI with DevOps. Organizations can benefit from efficiently managing their IT resources according to their management goals.

Feb 20, 2025 | dzone.com | Joydip Kanjilal

In programming, object mutation implies that an object's state or data is mutated after creation. In other words, the operation that changes the attributes of an object in JavaScript is known as object mutation. Object mutation alters an object's values directly, making it challenging, particularly in applications where multiple operations may try to read from or write to an object simultaneously.

Feb 19, 2025 | techstrong.ai | Joydip Kanjilal

Generative artificial intelligence (AI) has emerged as one of most exciting and transformational pieces of AI – a field that has made progress in leaps and bounds in the past few years. Powered by deep learning models, GenAI uses massive volumes of training data to create realistic text, graphics and audio content. The models can analyze reams of data in a heartbeat and make predictions and recommendations on any subject.

Jan 22, 2025 | cloudnativenow.com | Joydip Kanjilal

Recently, cloud-native apps and microservice architectures have proliferated for building and deploying distributed applications. Kubernetes has emerged as the de-facto platform for managing containerized workloads. Subsequently, the need for observability has risen since many businesses use Kubernetes as their infrastructure platform.