DevOps and cloud computing goes very much along in digital transformation. DevOps and cloud computing complement each other in helping businesses achieve their digital transformation goals.
In this scenario, the cloud is focused on technology and services, while DevOps is focused on process and process improvement. Both DevOps and cloud computing are in a constant state of evolution. To grow and get the most out of both technologies and processes, businesses must closely align with their DevOps approach and cloud computing best practices.
Public, Private, Hybrid Clouds
Public clouds are the most common type of cloud computing deployment. The cloud resources (like servers and storage) are owned and operated by a third-party cloud service provider and delivered over the internet. With a public cloud, all hardware, software, and other supporting infrastructure are owned and managed by the cloud provider.
In a public cloud, you share the same hardware, storage, and network devices with other organizations or cloud “tenants,” and you access services and manage your account using a web browser. Public cloud deployments are frequently used to provide web-based email, online office applications, storage, and testing and development environments.
A private cloud consists of cloud computing resources used exclusively by one business or organization. The private cloud can be physically located at your organization’s on-site datacenter, or it can be hosted by a third-party service provider. But in a private cloud, the services and infrastructure are always maintained on a private network and the hardware and software are dedicated solely to your organization.
In this way, a private cloud can make it easier for an organization to customize its resources to meet specific IT requirements. Private clouds are often used by government agencies, financial institutions, any other mid- to large-size organizations with business-critical operations seeking enhanced control over their environment.
No need to purchase hardware or software, and you pay only for the service you use.
Your service provider provides the maintenance.
On-demand resources are available to meet your business needs.
A vast network of servers ensures against failure.
A Hybrid cloud platform gives organizations many advantages—such as greater flexibility, more deployment options, security, compliance, and getting more value from their existing infrastructure. When computing and processing demand fluctuates, hybrid cloud computing gives businesses the ability to seamlessly scale up their on-premises infrastructure to the public cloud to handle any overflow—without giving third-party datacenters access to the entirety of their data. Organizations gain the flexibility and innovation the public cloud provides by running certain workloads in the cloud while keeping highly sensitive data in their own datacenter to meet client needs or regulatory requirements.
This not only allows companies to scale computing resources— it also eliminates the need to make massive capital expenditures to handle short-term spikes in demand, as well as when the business needs to free up local resources for more sensitive data or applications. Companies will pay only for resources they temporarily use instead of having to purchase, program, and maintain additional resources and equipment that could remain idle over long periods of time.
Your organization can customize its cloud environment to meet specific business needs.
Resources are not shared with others, so higher levels of control and privacy are possible.
Private clouds often offer more scalability compared to on-premises infrastructure.
Infrastructure as Code (IaC) is the management of infrastructure (networks, virtual machines, load balancers, and connection topology) in a descriptive model, using the same versioning as DevOps team uses for source code. Like the principle that the same source code generates the same binary, an IaC model generates the same environment every time it is applied. IaC is a key DevOps practice and is used in conjunction with continuous delivery.
We will make your Cloud operation run smoothly. Using our top-quality techniques, we develop your project through our detailed-oriented thinking and optimized proceedings, focused on utilizing all resources efficiently.
Find underutilized resources with Azure Advisor—and get recommendations on how to reduce your spend by reconfiguring or consolidating them.
Get a discount of up to 72 percent over pay-as-you-go pricing on Azure services when you prepay for a one- or three-year term with reservation pricing.
Save by dynamically allocating and de-allocating resources to match your performance needs.
Create and manage budgets for the Azure services you use or subscribe to—and monitor your organization’s cloud spending—with Azure Cost Management.
Cloud providers offers many ways to host your code. Operate more cost efficiently by selecting the right compute service for your application.
Identify idle virtual machines (VMs), ExpressRoute circuits, and other resources with Cloud Advisor. Get recommendations on which resources to shut down, and see how much you would save.
Continuous delivery is a software development practice where code changes are automatically prepared for a production release. A pillar of modern application development, continuous delivery expands upon continuous integration by deploying all code changes to a testing and/or production environment after the build stage. When properly implemented, developers will always have a deployment-ready build artifact that has passed through a standardized test process.
Continuous delivery lets developers automate testing beyond just unit tests so they can verify application updates across multiple dimensions before deploying to customers. These tests may include UI testing, load testing, integration testing, API reliability testing, etc. This helps developers more thoroughly validate updates and pre-emptively discover issues. With the cloud, it is easy and cost-effective to automate the creation and replication of multiple environments for testing, which was previously difficult to do on-premises.
With continuous delivery, every code change is built, tested, and then pushed to a non-production testing or staging environment. There can be multiple, parallel test stages before a production deployment. The difference between continuous delivery and continuous deployment is the presence of a manual approval to update to production. With continuous deployment, production happens automatically without explicit approval.
Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications.
Reference : https://kubernetes.io/
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