- +41 41 201 88 44
- [email protected]
- Mon-Fri 8am - 6pm
Operations that every Cloud Architect should Automate
By Swiss Himmel
The current application development process of a corporation may profit greatly from the cloud. The capacity to automate crucial processes that formerly needed human stages is one of the most important advantages.
Perhaps the most important benefit of adopting the cloud is automation. Cloud architects succeed in their positions by utilising automation wherever it is possible.
What are some of the standard methods for cloud automation that are essential to a cloud architect’s position? When creating, developing, and delivering cloud-hosted apps, every cloud architect should aim to automate the following five tasks.
1. Scaling
The most fundamental and crucial aspect of using the cloud is automated scalability. Scaling is a crucial component of the cloud, whether we’re referring to the elastic scaling provided by cloud-native services like Amazon S3 and DynamoDB, or the auto-scaling server resources. One of the main motives for individuals switching to the cloud in the first place is the need for scalable infrastructure.
However, a significant portion of this automatic scalability necessitates the swift and smooth activation of new server instances, which brings us to the next automation.
2. Server Provisioning
Provisioning a new server may take days or weeks in the pre-cloud era. With the help of cloud automation, a server instance that is fully functional and operational and has all necessary software and services installed and operating may be created in a matter of minutes.
Automated server provisioning is essential for self-healing systems as well as auto-scaling (another form of cloud automation). The process of resolving issues in the cloud is altered by terminating a malfunctioning or hacked server instance and allowing automation to replace it with a brand-new server instance. The MTTR (mean time to resolution) of several kinds of issues and mistakes can be improved significantly because of this feature.
Whether you’re launching new virtual machine instances in a Kubernetes environment like Google Kubernetes Engine or new container instances in a Kubernetes environment like Amazon EC2, automated server provisioning functions are mostly the same. Automation, which is essential to the majority of cloud-enabled applications, increases both speed and reliability when deploying, growing, and repairing server instances.
3. Infrastructure Creation
To get your cloud application up and servicing customers, automatic provisioning of your servers is not adequate in and of itself. Your load balancers, firewalls, network segments, databases, and any other services, such as queues and caches, on which your application depends, must all be provisioned. Before your application is completely functioning, the supporting infrastructure must be set up, configured, and linked.
If done manually, all of this provisioning might take a long time. It may take days or more to put up all the required components if you were installing them in an on-premises data centre. However, you may deploy your application infrastructure utilising API calls in the cloud thanks to a method known as infrastructure as code (IaC).
4. Code Deployment
Pipelines for automated code deployment are not just found on the cloud. Automated code deployments are a logical extension for cloud-enabled apps, and cloud architects strongly rely on them given the widespread usage of other forms of automation.
The CI/CD pipeline is one of the most widely used techniques for automating code distribution. Continuous Integration/Continuous Delivery, often known as CI/CD, is a paradigm that enables automated code deployments based on code checked into a software version control system to be deployed to production systems (again, such as Git). Automated deployments may be timed (daily, hourly, etc.) or triggered anytime a change is made to the code base and made accessible for deployment, depending on the application and business regulations.
5. Native Cloud Services
The automatic dynamic scaling that is integrated into many cloud services is a sort of automation that is frequently disregarded. To manage the scaling requirements of the dynamic applications that use them, cloud databases (such as Amazon DynamoDB), cloud data storage (such as Amazon S3), and cloud queuing services (such as Amazon Simple Queue Service) all largely rely on automation.
Address
Steinentorstrasse 35 , 4051 Basel, Switzerland
Copyright 2022 by SwissHimmel All Right Reserved.