DevOps On The Cloud: What Is It and Why Should You Pursue It?

Cloud computing is a great way to outsource your IT needs, but it does have its limitations. One of these limitations is that you are often at the mercy of your cloud service provider for how quickly they respond to issues with your server or data. This can be an issue if there are any performance bottlenecks in the system, as it may take some time before you notice them and initiate corrective action.

However, implementing DevOps on Cloud processes can avoid this problem altogether! This blog post will discuss what DevOps on Cloud is and why you shouldpursue it.

What are DevOps on Cloud?

DevOps on Cloud is a methodology for managing a cloud environment that enables you to utilize the power of DevOps concepts and tools. These include automation, monitoring, testing, security etc., which can help you implement effective development processes on your servers with reduced time-to-market.

In essence, this means that instead of waiting around helplessly after problems occur in your cloud environment (which they will do), you can detect these issues immediately and resolve them quickly!

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Benefits of DevOps on Cloud

DevOps on Cloud offers several benefits, which include

• Enhanced pace of automation with reduced time to market

Organizations can effectively reduce their deployment times to market and improve the overall speed of their development cycle. They can do this by implementing essential infrastructure based functions such as version control systems and continuous integration tooling into the workflow process using DevOps on Cloud methodologies and practices.

• Effective cloud server replication

The automated nature of DevOps on Cloud allows for complete fast-track deployment, enabling businesses to create multiple instances in a matter of minutes easily. This means that if there is an issue with one model (e.g., it goes down), other replicates can be deployed immediately without any delay!

By implementing this type of delivery system into your workflow process using DevOps practices and methodologies, you will also gain accurate reporting tools. These will allow you to fully understand how you created each instance initially and what changes have been made over time by different teams or individuals involved in the project/product being developed within your organization.

• Real-time monitoring of services, such as backup services, management services, acknowledgement services, and others

DevOps has a mainly agent-based architecture and requires extensive attention to detail to achieve the desired results. For this reason, there’s a need for a way to monitor the entire application stack at once rather than having to look for specific errors or bugs.

• Rapid deployment

There are two main approaches to DevOps on the Cloud. The first is running your entire stack in containers, which usually works great for applications with smaller footprints and fewer dependencies.

With the first option, you have to be in the business of running containers, which involves allocating more hardware resources. On the other hand, the second option lets you control your containerized applications.

Controlling Cloud Costs

When it comes to costs, you will discover no free lunch. Cloud computing providers usually charge for resources by the hour or month, and those costs can add up quite quickly without proper control.

You should consider multiple options such as optimizing your infrastructure to make sure it takes advantage of all available resources like memory and CPU cores, using software deployment tools or scripts to deploy new code automatically – or even better – both!

The costs for your cloud services are directly related to the type of cloud service you have opted for. For example, Infrastructure as a Service (IaaS) or Platform as a Service (PaaS), and Software as a Service (SAAS).

Because each option has its costs and benefits for your business, we recommend that you take full advantage of all available options before selecting which one fits your specific needs.

Important Points to Note

• Training on DevOps and Cloud

The concept of "infrastructure as code" (IAC) can be applied within a cloud environment; however, it does require those specific considerations to be made when designing an IAC process or its components. This means that if there’s no change management system in place along with automated testing procedures, then you’re likely not going to succeed at implementing an effective DevOps model on any cloud platform available today.

This approach doesn’t work very well regarding using public clouds specifically because it can be challenging to protect and secure cloud-based resources adequately. This is because public clouds are designed around the idea of sharing infrastructure, which means that someone could potentially access your data or cause a denial of service attack against you by using one of your virtual machines (VM).

• Security Consideration

The second option is to run your entire stack on virtual machines (VMs) and use Vagrant for provisioning VMs with DevOps tools installed within them. You can then configure these products through a single interface that works across physical servers and clouds. There are no limitations to horizontal scaling or moving deployments between cloud providers with this approach.

Although this method tends to cost less than an agent-based architecture, you have less control over individual server configurations because they rely entirely on whatever defaults are set up by vagrant/puppet, etc. This makes it challenging to scale servers up as you need to modify the base images.

• DevOps Tools Selection

Tools that you can use for this process include:

Jenkins - a continuous integration tool that automates the testing and deployment of software.

Kubernetes - an open-source system for managing containers across multiple hosts, providing basic mechanisms for deploying applications, scaling them, and monitoring their availability.

Ansible Tower provides a web interface to Ansible—an automation engine that enables developers and IT operations teams to manage systems in physical data centres or cloud computing environments more efficiently by controlling multi-tier deployments through virtually any platform.

• Inclusion of Automated Performance Testing

Performance testing is a critical step in DevOps as it involves measuring the performance, accuracy and speed across all servers to identify any issues or bottlenecks. You can do this manually, but it’s more efficient if you automate this process using automated scripts/tools such as Selenium Grid for functional tests and JMeter for load testing.

A good practice is to keep your automated performance tests separate from manual testers, so they don’t affect each other (or overlap). However, having both types allows QA teams to catch problems early on before releasing anything into production environments which ensures high-quality releases with fewer bugs

• Consider Containers

Containers are becoming increasingly popular—if you haven’t heard about them yet, keep your ears open! They allow developers to create lightweight versions of virtual machines without wasting hardware resources or time configuring infrastructure settings. Containers also provide easy-to-scale options while offering less overhead during deployment than full VMs.


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DevOps is not just a technology trend today or tomorrow but will be the status quo in 2021. It has changed how organizations are built and have set standards that others need to follow to stay competitive.

Cloudifyapps can provide your organization with software solutions that help you transform into an agile business through cloud-based automation made easy. Let us know what challenges you’re facing so we can work together on finding the right solution for your needs!


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