As more enterprises become cloud-reliant, utilizing multiple clouds is growing in popularity. In fact, IDC recently estimated that by 2020 over 90% of enterprises will use multiple cloud services and platforms. They also believe that spending on cloud services will more than double. It’s important to get the most out of this cloud revolution. One way this can be accomplished is by utilizing containers in multi-cloud.
There are a lot of reasons to utilize multiple clouds. Cloud providers have different strengths and weaknesses. Some workloads run better on one cloud platform versus another. Measuring cost to performance is important.
Being able to run workloads in an optimal environment is what every enterprise is looking for. If you feel that your cloud platform isn’t enough for a specific task, there’s no reason not to utilize an additional platform.
No single cloud can do everything a large enterprise needs. Every company is different; thus, every cloud provider is going to fit different specifications. A multi-cloud environment allows DevOps teams to play around and figure out what works best for their workloads. Having additional options is almost always the right choice in computing.
Despite the benefits, there is one complaint about multi-cloud environments. It’s that workloads can end up being isolated due to compatibility issues between clouds. Proper container usage should be able to eliminate this complaint.
Bridges between clouds
The concept of containers itself is beneficial to multi-cloud users. It doesn’t make a lot of sense anymore to use the traditional virtual machine method. VMs are slower and use more computing power. They also don’t scale as well and are more difficult to move. Containers improve on VMs by running atop the OS kernel directly, meaning that they are more lightweight, start much faster, and portable. This kind of flexibility is important for DevOps teams utilizing multi-clouds.
Multi-cloud environments may currently be used to divide apps based on cloud specializations, but that doesn’t have to reign true forever. Containers are growing in usability and are increasingly available across clouds.
Kubernetes, for example, is a large community-driven container technology that can be adaptable to almost any cloud platform. Considering how many cloud infrastructure options there are today, it’s important to have a tool that can work on any of them. Teams don’t have to worry about compatibility since Kubernetes is commonly accepted across cloud platforms.
Since Kubernetes is open source, there will always be an abundance of resources and options to improve your practices. At the time of writing, there are over 63,000 commits on GitHub. The community is vast and the technology and options are constantly growing.
Cloud providers are building new tools for Kubernetes and the viability of containers continues to expand. There are Kubernetes offerings with AWS, GCP, IBM, Azure, Alibaba, and more. With options available across the cloud space, developers are able to move workloads between clouds without much effort.
Containers allow developers to have an isolated environment between their applications, meaning a mistake won’t be detrimental to your entire system. Kubernetes also provide increased visibility into failing deployments. Component failures aren’t detrimental to your application, as the failure is isolated. You can pause or revert changes to individual containers without entirely destabilizing functionality.
There is also flexibility in where you can run your containers. You can utilize on-premises, hybrid, or cloud infrastructures. Having a faster and more efficient environment to work will speed up releases, and isolating applications into OS-level virtualization is more secure. Technology like this is perfect for supporting DevOps success.
Containers and Kubernetes allow DevOps teams to work faster and more efficiently. Apps will improve as it’s much easier to discover and fix problems in development. The constant influx of new tools and security options also allow teams to have peace of mind when it comes to deployment.
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