Many enterprises jumped headfirst into a cloud-first strategy, and some have corporate mandates to close on-prem data centers and migrate to the cloud.

So why are some companies moving workloads back to on-prem, or “repatriating” workloads?

The answer: Cost control.

The Cost of Cloud Infrastructure

Early on, the long-term cost implications of the cloud were not well understood. The cloud’s pay-as-you-go service model was attractive and cost savings highlighted as a key benefit. But the industry lacked publicly available cloud reference implementations and costs.  As some companies found out the hard way, it’s easy for cloud infrastructure bills to creep up over time if not monitoring and optimizing infrastructure. In some cases, the long-term cost of cloud is more expensive than on-prem data centers.

One pitfall to avoid when managing cloud costs is the overprovisioning of cloud resources. In public cloud architecture, properties like compute power, memory, network bandwidth, capacity and performance are often tied together. For workloads requiring fast performance, teams can end up overprovisioning on unnecessary capacity and compute to hit service levels.

The cloud is a wonderful thing because you can scale up with the push of a button. But you need to be careful to optimize infrastructure and turn off unused resources.

Studies on Cloud Repatriation

There have been several studies on cloud repatriation. It’s estimated that bringing workloads back on-prem can save companies 1/3 to 1/2 of their costs.

But it’s not always a good idea for a company to reverse path and repatriate workloads. The company already invested significant time and effort moving data and applications to the cloud. It’s much wiser to spend time optimizing workloads and reduce waste. Plus, the cloud is delivering on its promise of agility. Teams are freed up to focus on development.

How Silk Optimizes Workloads on the Cloud

Resource-intensive workloads cause the most financial “pain” in the cloud.

Silk optimizes even your most demanding databases and workloads, so you can proceed confidently and avoid the prospect of repatriation.

The Silk Platform is designed to deliver full data mobility, ultra-fast performance, and smart cloud resource allocation. It’s a data layer that sits invisibly between your databases and cloud infrastructure to connect your data sources together and serve data across on-prem and cloud environments, including Azure, AWS, and GCP. Connect your databases to Silk and your data is ready to go. There’s no need to migrate to a new cloud database or refactor applications to achieve fast performance, all while keeping your cloud bills in check.

Below are the top 5 cloud infrastructure benefits of using Silk:

  1. Superior database performance. The Silk Platform provides 10x faster performance than what you can achieve on native cloud infrastructure alone. Silk’s 2-tier architecture ensures ultra-fast performance without overprovisioning cloud capacity. This results in faster reporting and analytics, SLAs met, and a better customer experience.
  2. Performance elasticity on demand. With the Silk Platform, you can dynamically and non-disruptively add nodes to increase performance. It’s possible to adjust many times per day. Need to plan for an upcoming sales season with 10x your usual number of customers? Simple: add more nodes. Finished? Scale back down.
  3. Always-on availability. The Silk Platform provides data resiliency across zones, regions, and clouds, so your databases are always on and working for you. Mission-critical operations will not be disrupted if a cloud provider gets hit by a sudden outage.
  4. Enterprise data services. The Silk Platform has built-in data services for thin provisioning, inline data compression, and zero-footprint clones. DBAs and developers love these features. Keep your data footprint in check while creating unlimited clones for dev/test environments and analytics that have no impact on capacity or performance.
  5. Cloud cost optimization. The Silk Platform delivers unparalleled performance without needing to overprovision cloud capacity, saving you up to 30% on your cloud bills. Additionally, if you’re using Oracle or Microsoft SQL Server databases, Silk reduces your exposure to database licensing costs, as it cuts down on the number of CPU cores needed for operation.

If you’re looking to optimize your infrastructure to improve performance and scalability, contact us today to meet with a solution architect.