The widespread adoption of digital transformation triggered by the global health crisis has created a boom. For some businesses, the transition was smooth, but for others, it was an aggressive shift. Out of all the challenges posed by the transition to digital environments, messy cloud cost management and rocketing cloud bills are the most taxing. According to Gartner, through 2024, 60% of infrastructure and operations leaders will bear cloud costs that hurt their on-premises budgets.

Many companies don’t know where to begin when migrating to AWS. Some worry their data will leak, while others don't know the most efficient migration strategy for AWS. Another group worries about overspending when moving to AWS. The migration strategy involved plays a crucial part in all of these concerns. This guide will discuss more than just AWS cloud migration strategies.

The best budgets aren't roadblocks. They're guardrails: boundaries for quick, collaborative work. Historically, when finance and engineering teams have discussed cloud cost, they’ve run into an obstacle: They don’t speak the same language. At the end of each month, finance gets an ever-changing cloud bill, and engineering explains that, whatever the total, it represents what they need to do their work. Stalemate.

Not all cloud cost management tools are equal. Whether you’re in the process of evaluating cloud cost management vendors or already have a tool in place, here are 19 questions you should ask to ensure you have all the capabilities needed to maximize performance and minimize cost of your hybrid cloud deployment across the following.

Moving large amounts of data to the cloud can be arduous and time-consuming. A cloud migration would take years if engineers manually moved data from assessment through mobilization and migration phases. An effective cloud migration also requires adequate data encryption, fast data transfer speeds, and constant monitoring. Migrating workloads to AWS requires you to monitor costs in real-time as well to avoid overspending.

As today’s IT infrastructure becomes more complex, a continued reliance on legacy systems can become costly as IT operations get bogged down in inefficiencies and hampered by unreliability.

Container monitoring strategies and purpose-built container monitoring tools just may be the next hot topics swirling around the Kubernetes discussion forums this year. Over 77% of IT professionals expected to migrate 50% or more of their workloads to containers with Kubernetes by the end of last year. With the rise of container usage growing, having the ability to monitor the performance of your containerized workloads is critical.

For most SaaS companies, COGS (which stands for cost of goods sold) is used to calculate gross margin and profit. COGS is an accepted term with a specific definition under U.S. Generally Accepted Accounting Principles (GAAP) — and is widely used as part of calculations to gauge the health and valuation of a company. Like many accounting practices, COGS stems from the industrial era, when most businesses were concerned with the creation of physical goods.

With incredibly complex cloud architecture — that may even includes Kubernetes and multi-tenant infrastructure — organizations are finding it hard to measure and monitor the performance and cost of their cloud environments. To stay competitive, organizations should aim to be as efficient as possible — which can help companies to lower costs, increase margins, and improve cloud efficiency.

Big data cloud performance management is key to success in the cloud. Paired with cloud computing, big data can transform an enterprise—especially when managed correctly. It requires no CapEx, enables quicker data processing and analysis, and allows for rapid scalability. But not having a plan to properly manage your big data performance in the cloud can be the difference between realizing the ROI the cloud promises and having to move back to the data center in defeat.