Using Cloud Services For Web App Scalability

A modernization journey to Cloud Native has #cost benefits. #Cloud-native container environments are typically more cost-effective than VM-based environments due to better resource utilization, scalability, and automation features. Resource Utilization: #Containers: Containers generally use fewer resources than VMs because they share the host OS, resulting in less overhead. This allows running more applications on the same hardware, reducing overall costs. VMs: Each VM requires a full OS installation, leading to higher overhead and resource consumption. This results in fewer applications per host and potentially higher costs. #Pricing Models: AWS and Azure both offer pay-as-you-go models, but containers can be run on services like AWS ECS or EKS and Azure AKS, where resources scale dynamically based on demand, leading to cost savings. VMs are generally priced by size (vCPU, memory) and duration of use, leading to more predictable but often higher costs due to unused, idle capacity. #Scalability and Elasticity: Containers: Both #AWS Fargate and #Azure Kubernetes Service (AKS) support autoscaling, allowing containers to scale in real-time, optimizing cost efficiency by only using resources when needed. VMs: While VMs can be manually scaled or automatically through certain cloud services, they are slower to scale and often over-provisioned, leading to increased costs. #Maintenance Costs: Containers: Offer a serverless container option (e.g., AWS Fargate, Azure Container Instances) that offloads infrastructure management, potentially lowering operational costs. VMs: Require more effort in management, patching, and monitoring, increasing operational overhead and costs. #Cost Comparison (AWS and Azure): AWS: For example, running a t3.medium EC2 instance costs approximately $0.0416 per hour, whereas running a container using AWS Fargate can start as low as $0.0126 per hour (for compute and memory). Azure: Similarly, a D2_v3 VM instance costs around $0.096 per hour, while Azure Container Instances might cost $0.000012 per GB and $0.000012 per vCPU per second, offering more granular billing and potential savings. Actionable Steps & Risks: #Analyze Workloads: For optimal cost efficiency, assess whether your workloads can benefit from containerized environments, especially for microservices or stateless applications. #Use Autoscaling: Implement autoscaling strategies for containers to dynamically adjust resource consumption based on real-time demand. #Monitor Hidden Costs: While containers reduce resource consumption, factor in networking, storage, and data transfer costs, which can vary depending on the cloud provider and setup. #Risk Mitigation: For mission-critical applications, ensure that the container management platform has robust monitoring, security, and backup strategies to avoid potential downtime or security breaches.

You dockerized your .NET Web apps. Great, but next you'll face these: - How to manage the lifecycle of your containers? - How to scale them? - How to make sure they are always available? - How to manage the networking between them? - How to make them available to the outside world? To deal with those, you need 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, the container orchestration platform designed to manage your containers in the cloud. I started using Kubernetes about 6 years ago when I joined the ACR team at Microsoft, and never looked back. It's the one thing that put me ahead of my peers given the increasing move to Docker containers and cloud native development. Every single team I joined since then used Azure Kubernetes Service (AKS) because of the impressive things you can do with it like: - Quickly scale your app up and down as needed - Ensure your app is always available - Automatically distribute traffic between containers - Roll out updates and changes fast and with zero downtime - Ensure the resources on all boxes are used efficiently How to get started? Check out my step-by-step AKS guide for .NET developers here 👇 https://lnkd.in/gBPJT6wv Keep learning!