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.
Containers are cloud-based software packages bundling code, libraries, and dependencies that facilitate building modern applications. Container orchestration has become essential for building complex apps that run seamlessly in any environment.
Quick innovation, iteration, and deployment are the glorified advantages of using the cloud. However, this benefit holds only until you have hundreds, if not thousands, of engineers building and deploying software in the same environment. That is when this advantage can turn into a headache.
Cloud cost optimisation can be resource-intensive and overwhelming, requiring developers to continuously manage infrastructure using techniques like usage adjustment and instance rightsizing. As a result, they often can’t focus on the more creative or innovative aspects of the project.
Cloud modernization isn't just about migrating applications, workloads, and databases to the cloud. Businesses with cloud applications often fail to meet the user requirements. In such cases, you need to optimize resources to enable your application with advanced features that meet changing business objectives and user requirements.
Businesses seek to use containerization and virtualization platforms to attain greater scalability, cost efficiency, and standardized app deployment across multiple platforms. While both options help maintain the balance between meeting modern cross-platform requirements and resource optimization, each has its own pros and cons.
Hybrid cloud solutions are beneficial for modern businesses. They offer greater security, scalability, and performance at reduced costs and downtime. Managing diverse sets of cloud environments can be challenging. But you can address these concerns by collaborating with a top software development company that has a proven portfolio in cloud services.
Amazon Elastic Kubernetes Services (EKS) is a popular managed service for running Kubernetes on AWS. However, Kubernetes is an open-source solution, and it comes with some inherent security risks. Managing Kubernetes clusters on EKS is not easy either. Knowing you need AWS EKS to run Kubernetes on AWS is one thing, but doing so effectively is the real challenge.
Every application needs a robust security mechanism to ensure the safety and proper handling of its sensitive data. Managing such data is challenging in modern applications, especially in containerized environments. Hard-coding sensitive data or using environment variables can create more vulnerabilities.
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.
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