Cloud technology underpins emerging technologies like artificial intelligence (AI), IoT, edge computing and containerization. Organizations must prioritize implementing effective cloud management practices to avoid spiraling costs and potential security and compliance violations.
The COVID-19 pandemic has vastly accelerated cloud adoption. To support remote work, many businesses have moved workloads from on-premises servers to the public cloud. At the same time, thanks to the proliferation of technologies like AI and machine learning, organizations are generating more data than ever, much of which is also being stored in the cloud. It’s no surprise then, that the explosion in demand for cloud services is showing no sign of slowing down. Gartner predicts that worldwide end-user spending on public cloud services is forecast to grow by 23.1% in 2021 to total $332.3 billion.
But, it’s not all smooth sailing. As the average organization’s cloud infrastructure grows in complexity and size, it becomes increasingly difficult for teams to manage it effectively. This has significant security, compliance and cost implications. According to Accenture, an astronomical 30% of organizations’ cloud spend is currently wasted.
So, what can you do to ensure you avoid the most common cloud management pitfalls?
See the Big Picture
It’s surprising just how little visibility many businesses—even those with large teams of cloud architects—have into their cloud infrastructure. For instance, one recent survey found that over 25% of IT departments have no idea what their monthly cloud spend actually is.
Before taking steps to optimize your cloud management practices, it’s crucial that you gain full visibility into your current situation. You need to understand your cost history, audit trail and CPU utilization patterns to identify where you’re overspending.
Plus, make sure you’re using tagging consistently. A well-defined organization-wide tagging policy is essential, enabling you to accurately visualize expenditure by category. It’s also good practice to set up alerts which are triggered when a user launches instances without tags. This prevents any potential oversights.
Develop a Change Management Process
Gone are the days of rigid change management processes handled solely by IT teams. Nowadays, business units can acquire cloud services without even involving IT.
In the cloud, change management is a series of continuous integrations, deliveries and deployments. Given this fast-moving environment, it’s crucial to implement a robust change management process or risk spiraling costs and potential compliance violations.
It’s important that your change management process gives you visibility into and control of each infrastructure change without compromising on delivery speed. To achieve this while establishing strong policies and rules, it’s worth considering automation for at least part of the application delivery process. By auto-approving all routine and low-risk changes, you can free up time for your developers to focus on more complex projects.
In addition, it’s worth integrating your change management process with your DevOps tool stack. You can use collaboration tools like Slack, Teams and/or Jira to ensure everyone has visibility into changes and resolve any issues quickly.
Continuously Optimize your Cloud Infrastructure
Unfortunately, when it comes to effective cloud management, your work is never truly done. Conducting a one-off review of your existing cloud infrastructure will only get you so far.
Many businesses make this mistake and find themselves falling back into their old bad habits a few months down the line. To keep your cloud infrastructure in check, it’s best to continuously track a whole host of factors, including costs, changes, users, permissions and compliance breaches. After all, it’s much easier to solve an issue when you are able to spot it before it gets out of control.
Now you have an idea of where to start when it comes to improving your cloud management practices. However, manually juggling all of the above considerations is a significant undertaking. It’s prohibitively time-consuming for many organizations whose DevOps teams are already overstretched. This is why a whole host of SaaS-based cloud management tools have sprung up in recent years. These offer unparalleled visibility into changes, resource utilization, costs, security, compliance, performance and more. Yes, they come at a cost. But, most businesses find that the savings such tools enable them to identify significantly exceed any outlays.
