Kubernetes-based event-driven autoscaling (KEDA) is a powerful tool for automating the scaling of your Kubernetes applications based on event-driven workloads. KEDA is an open-source project that is built on top of Kubernetes, and it allows you to scale your workloads dynamically based on the volume of events that are generated by your applications. In this blog post, we’ll provide an introduction to KEDA and show you how to get started using it with examples in Java, Golang, and YAML code.

Kubernetes is a popular open-source platform for managing containerized applications across multiple nodes and clusters. It provides features such as service discovery, load balancing, orchestration, scaling, and self-healing. However, running Kubernetes across different cloud providers, such as AWS, Azure, Google Cloud, etc., can pose some challenges and complexities, such as network connectivity, resource synchronization, and cost optimization.

In this blog post, we will explore how to achieve autoscaling in multi-cloud Kubernetes deployments, which can help us improve the performance, availability, and efficiency of our applications. We will also show some code examples of how to configure and deploy autoscaling policies and parameters for each cluster and cloud provider.

In our last post, we talked about the emergence of the Cloud and we feel this is where the Cloud model went wrong.

As the Cloud grew, Cloud providers figured out a way to monetize open-source technologies by starting hosting them in the cloud. The challenge with this model is that open-source technology providers are left with all the hard work to build and maintain their projects but not with much benefits.

Speed ​​is an important factor for business in this era when customers are looking for instant gratification. If the fact doesn’t convince you, the statistics might. An element as simple as a website’s load time carries weight. Statistics indicate that the first five seconds of a page load time have the greatest impact on conversion rates. So when consumer behavior has the greatest impact, it is profitable in the long run to modernize a business model accordingly.

The faster a company can develop and ship a product to its customers, the more likely it is to avoid problems in a fast-paced environment. Cloud Native as a form of technology is designed for this. It is a behavior-driven development model designed, built, and optimized to run in the cloud.

Cloud native applications can easily be mistaken as another tool for the digital first era or another platform. However, it is a complete shift to a set of different practices, automated testing, design, customer centric model and an accelerated production environment. With shorter delivery cycles and higher quality, working in the cloud native database requires a transformation within the entire development team of an organization.

Before 2005, most of the technology was open source and enterprises were consuming open source to accomplish their business goals and the trend seems to continue to grow. Take the operating system as an example. The use and popularity of Linux have been growing day by day. Another good example is the database industry where MySQL and Postgres are rapidly growing over time as opposed to Oracle or Microsoft’s SQL Server.

The open-source trend was not surprising as proprietary technology leads to lock-ins and as these enterprises grow, their reliance on these foundational pieces continues to grow over time. This makes it really difficult and costly for these enterprises to switch to new technology, locking them into the closed-source technology and leaving them vulnerable to hefty prices or punitive charges as they scale. This drove many enterprises to come together and join hands to collectively build different open-source components.

Twelve Factor App Methodology

The Twelve-Factor App methodology is a set of best practices for building and deploying cloud-native applications. It was developed by Heroku, a cloud platform as a service (PaaS) provider, and has since been widely adopted by organizations as a guide for building cloud-native applications.

The Twelve-Factor App methodology consists of 12 principles that are designed to help developers build applications that are easy to scale, maintain, and deploy in a cloud environment.

The term Cloud isn’t a physical entity but is meant to represent the infrastructure of the internet. It’s called Cloud to signify that the users of the Cloud don’t have to worry about the underlying complexities of the infrastructure but can use it as building blocks for their application. Behind the scenes, the cloud is a vast network of physical machines across the globe connected together and abstracted for its end users for dedicated tasks from running applications to storing data to managed applications.