Shruj Dabhi is an enthusiastic technology expert. He leverages his technical expertise in managing microservices and cloud projects at TatvaSoft. He is also very passionate about writing helpful articles on the same topics.
In today’s advancing digital world, software engineering organizations face tough competition and high pressure to develop and deliver software quickly, efficiently, and with fewer errors. Traditional development and operations teams used to work in isolation, resulting in bottlenecks, miscommunication, and slower release cycles.
Kubernetes, or K8s developed by Google, is a widely accepted container orchestration platform for distributed environments. Its fundamental principles are simplicity, flexibility, and automation of multiple functions simultaneously. Though these principles support basic deployment and scaling, Kubernetes’ built-in functionalities have limitations.
When monolithic applications hinder growth instead of fueling it, consider it a sign to transition to the microservices architecture. There can be many reasons for this; the monolithic app might have become too large to handle, utilize outdated technologies, contain legacy code, struggle to scale, fail to integrate with modern technologies, exhibit rigidity, single point of failure.
Organizations often get confused about how to migrate their workloads, digital assets, and data to the cloud. The process of cloud migration can be complicated, with potential problems like security vulnerabilities, downtimes, data leaks, and a plethora of other challenges along the way.
When a company thinks of migrating its on-premise systems to the cloud, it needs to do extensive planning beforehand and consider cloud migration strategy planning for the success of this undertaking. There are indeed a plethora of benefits to cloud migration, not all systems may need to be moved.
The concepts of observability and monitoring are most often used in DevOps, system engineering and administration. Although there are a few similarities, both of these concepts have clear disparities. Before employing them as a part of your DevOps best practices, it is necessary to understand these concepts, how they work, and where they can be implemented effectively.
DevOps methodology encourages you to develop better quality software and quick deployment updates through a set of tools, DevOps best practices, and a culture of collaboration. Together, the development and operations teams strive to optimize workflows and increase efficiency through automation. To achieve these goals, you must monitor the system performance, including all services, infrastructure, and applications.
Most of the companies adopting DevOps have witnessed significant growth. Many top companies, like Microsoft and IBM, have successfully employed DevOps best practices in their IT projects. But adopting DevOps is not like buying a car and start driving around. Like you need fuel to keep the vehicle working, DevOps also needs continued support and monitoring.
Signup for our newsletter and join 2700+ global business executives and technology experts to receive handpicked industry insights and latest news