The cloud native revolution brought by Kubernetes has transformed the way we build and deliver software, but the world of big data has for too long been left on the side of this transformation. Thanks to many contributions from the open source community, Apache Spark integration on top of Kubernetes is now officially generally available with the recent releases this year.

In the relatively short window of time that Kubernetes has been around, it’s rapidly matured as a critical technology foundation for the cloud, and now even applications that were previously thought to be unviable for containers are running with Kubernetes. As companies expand their usage of it, the need to operationalize Kubernetes with automation and optimization is critical to maintaining speed, agility and control in the long-term.

Logz.io has dedicated itself to encouraging and supporting cloud-native development. That has meant doubling down on support for AWS and Azure, but also increasing our tie-ins with Google Cloud Platform – GCP. Recently, our team added dozens of new integrations for metrics covering the gamut of products in the GCP ecosystem.

Summary The cloud is always innovating. One of the more recent and large breakthroughs has been the advancement and improvements in CPU architectures. Specifically with ARM CPU processors, where we are seeing adoption across all forms of computing, not only cloud, but also laptops with Apple’s M1, and of course in the past decade with mobile phones. The more recent availability in cloud computing therefore is not surprising, given the progress made in all other areas of technology.

Sometimes, managing several input fields gets crazy complex. You may need to recreate the same thing for each form and that’s can be really time-consuming. With a reusable Text Input in React, you can create just one input element in just one component and reuse it everywhere in any form. Let’s do this.

Microservices have significantly altered the architecture of server-side processors. Rather than a single massive monolithic codebase containing all of your application’s business logic, microservices adhere to the distributed systems concept, in which a collection of application components collaborate to meet business goals. You may create a streamlined microservices ecosystem free of superfluous architectural complications by adhering to microservices industry standards.