5 Best Practices for Multi-Cloud DevOps Data Management

Multi-cloud DevOps lets you innovate faster by giving everyone involved in the process the best services from optimal cloud locations. Until recently, that innovation and convenience came at a cost ─ more work and higher data storage costs became new realities when managing the data needed to test, develop, and synch information across multiple clouds and data centers.

Multi-cloud DevOps lets you innovate faster by giving everyone involved in the process the best services from optimal cloud locations. Until recently, that innovation and convenience came at a cost ─ more work and higher data storage costs became new realities when managing the data needed to test, develop, and synch information across multiple clouds and data centers.

Certainly, extra data management and storage costs don’t seem like much when performing test/dev for your first few apps. But, for any DevOps team looking to streamline operations for a critical mass of apps in multi-cloud infrastructure, the high volume of dataset copies (some massive) has quickly added to data management headaches and significantly increased data storage bills from the different cloud providers.

Kmesh SaaS eliminates the need to make trade-offs that compromise your multi-cloud DevOps efforts. Now, DevOps teams no longer need to skimp on their cloud data to save money, and at the same time, they can optimize data provisioning for maximum agility and speed. Let’s take a look at why the KMesh SaaS platform is so good at delivering real-time data mobility for DevOps in multi-cloud environments. (If you want to visit the Kmesh page for DevOps now, click here).

Use cloud-native test/dev data management, by design

As you seek the benefits of cloud for app testing and development, you design your apps to be decoupled from physical resources. Of course, the cloud can provide an abstraction or virtualization layer between the application and the underlying physical or virtual resources, whether they’re designed for cloud or not.

However, the efficiency of the testing and development of applications, combined with efficient use of your enabling cloud resources, can boost the overall savings of your multi-cloud DevOps efforts by 50-70 percent. Kmesh SaaS was designed as a cloud-native platform, and it Kmesh manages your data via virtual copies so that you synch fast between clouds and locations while saving up to 90 percent of cloud data storage costs.

Your DevOps tools must work in multiple clouds

Best practices dictate that you use DevOps tools that function properly both on-premise and within multiple clouds. That said, some DevOps teams get hooked on a single cloud provider’s tools, because they are well-integrated to that one deployment platform. To ensure medium-term and long-term success, you need to remain free of single cloud lock-in. That is why the KMesh SaaS platform was designed to work at 100 percent performance and efficiency over any cloud ─ AWS, Azure, Google Cloud, OpenStack, etc. We recognized the importance of keeping all options on the table, as you seek to test and develop apps for multiple business scenarios.

Recognize the increasing importance of containers

More and more DevOps teams are integrating containers into their DevOps-in-the-cloud strategy. It simply makes sense, and as containers multiply, so too does the need to manage them and the data that feeds into them. As a result, Kmesh Saas now integrates with Kubernetes, the leader in container orchestration. We call the integration “Orchestration for both data and apps.” (Read more on Kmesh + Kubernetes).

Using both Kmesh and Kubernets, your DevOps team maximizes the decoupling of app test/dev from underlying infrastructure limitations and makes it easy to switch between cloud providers whenever the need arises.

Consider where clouds are strongest geographically

If your DevOps teams are located in different regions, then you already recognize that certain cloud providers excel in specific geographies. The less distance your test/dev data must travel, the faster your apps will respond to user inputs. But which cloud providers will remain strong in countries like India, China, and other locations where your developers work? No one knows for sure. Kmesh SaaS was designed to be resilient against location-specific restrictions or cloud provider weaknesses. As a result, DevOps team members can simply modify data mobility policies in Kmesh as circumstances change in the way you use each cloud provider or location.

Remember to maintain service and resource governance

DevOps teams are quickly recognizing the need for governance, especially as the number of APIs, services, and storage resources increase with the use of multiple clouds. Kmesh SaaS, while adding data mobility capabilities, actually reduces the stress on governance by providing a single namespace for all your test/dev data, no matter where it originates. (Read more about Kmesh data governance here).

To learn more about DevOps data mobility in multiple clouds, visit the dedicated DevOps Kmesh page here.