Azure compute services: VM vs. App Service vs. Container Instance
source link: https://www.pluralsight.com/resources/blog/cloud/azure-compute-services
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
VM vs. App Service vs. Container Instance
Azure provides various compute services, each designed with specific capabilities and use cases in mind. In the landscape of cloud computing, selecting the right Azure compute service ensures your application performs efficiently and cost-effectively.
So you may be wondering, What is the difference between Azure VM, App Service, and Container Instance? We’re going to take a look at each compute service, how they differ, and why you might choose one over the other.
The compute service you choose will increase or decrease your administrative overhead, ability to control underlying infrastructure, and the cost of your workload. That’s why it’s so important to choose the right one.
Let’s say we have a web app with a database backend that we want to move from on-prem to Azure. We want to carefully consider what compute services we use. For example, a VM will give us more control over the compute down to the OS level—but we might not need (or want) that added complexity.
If we go with App Service, on the other hand, we only have to worry about the application, not the administration. As you can see, different compute services can change your capabilities and the resources you need.
Azure VMs provide scalable computing resources on demand, affording you full governance over your virtual infrastructure. However, this does come with some tradeoffs.
Pros: VMs give you absolute control over OS and applications, extensive customization possibilities, and a comprehensive selection of VM sizes.
Cons: They require more hands-on management and may lead to higher costs if not diligently optimized.
Example application: VMs are ideal for migrating legacy systems to the cloud and hosting applications with specific OS dependencies.
Designed to simplify web application and API deployment, Azure App Service enables developers to focus on innovation rather than infrastructure.
Pros: App Service is easy to scale, offers built-in development and debugging tools, and provides multi-language support.
Cons: It offers less granular control over the operating environment compared to VMs.
Example application: Azure App Service is perfect for rapidly deploying web and mobile back-end applications and RESTful APIs with minimal configuration.
ACI is engineered for simplicity and speed, enabling you to run containers with ease and efficiency and scale on-demand.
Pros: Azure Container Instance has a quick start-up, is billed to the second, and provides straightforward scalability.
Cons: It’s primarily suited for containerized applications and offers limited network configuration options compared to solutions like Azure Kubernetes Service (AKS).
Example application: ACI works best for small-scale applications, batch jobs, and temporary workloads that benefit from the agility and cost-efficiency of containers.
Deciding on the appropriate Azure compute service is contingent upon your application's specific requirements, the level of control you desire, and your scalability needs.
Here’s a quick overview of each service to guide your decision: Azure VMs are the go-to for comprehensive control and customization. Azure App Service is your ally for quick, efficient web and API deployment. Meanwhile, Azure Container Instance serves as the prime choice for containerized applications prioritizing speed and simplicity.
To further your understanding of Azure compute options and excel in the AZ-104 exam, check out my course AZ-104 Microsoft Azure Administrator Certification Prep. You’ll get hands-on experience with Azure's compute services, empowering you to make informed decisions tailored to your project requirements.
Remember, the journey through Azure's compute services is a continuous learning path. As your instructor, I'm here to support you every step of the way, providing clarity and guidance as you navigate the cloud computing landscape.
Recommend
-
142
Azure 容器实例(ACI)提供了在 Azure 中运行容器的最简捷方式,它不需要用户配置任何虚拟机或其它高级服务。ACI 适用于快速突发式增长和资源调整的业务,但功能相对比较简单。对于需要完整容器集群编排功能的场景建议使用 ACS 或 AKS。 ACI 的优势包括 不需要用...
-
58
How to deploy a Windows container on Google Compute Engine ...
-
15
Oracle’s “Always Free” Cloud Instance – Adding a web server to your free MySQL compute instance with zero monthly charges November 19, 2019
-
4
Deploying Multi-Container Services on Azure Service Fabric 2020-04-13microservices 7 min readTo give you a bit of context on what we will be looking at today, we will...
-
4
Reading Time: 3 minutesIn this blog we will consider simple steps by which we can attach and mount a volume(elastic block store) to an ec2 instance. Following steps must be followed : Step 1 -> Creating an ec2 instance We...
-
12
Getting Started with Log Replay Service for Azure SQL Managed Instance – The SQL Herald Skip to content
-
1
Hello, readers! This article talks about Azure Container Instance with detailed information around it’s setup.So, let us begin!! 🙂What is an Azure Container Instance (ACI) Service?In the world of...
-
3
Exposing gRPC services in Azure Container Apps Published Mon, Feb 7, 2022 / by Thorsten Hans...
-
6
Cloud Container Services Compared – AWS vs Azure vs GCP Janani Ravi Apr 21, 2022 17 Minute Read
-
2
This article was published as a part of the Data Science Blogathon. Introduction Applications in Azure run on compute services, which determine how they are perfor...
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK