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Turbonomic Blog

8 Common Cloud Optimization Mistakes and How to Avoid Them

Posted by Chris Graham on May 14, 2021 1:29:00 PM

Cloud Optimization Mistakes

Is your company looking for ways to work smarter in the ever-changing world? For many businesses, the cloud offers the solutions they’re looking for.

As more organizations migrate to the cloud, it’s vital to use reliable tools for managing data. Keep reading to learn about cloud optimization mistakes and ways to mitigate them.

Benefits of the Cloud

Today’s customer expectations have increased and companies must offer more real-time results. In the past, applications and programs operated on physical computers and servers. Now, businesses rent access to applications and storage from cloud service providers including AWS, Azure, and Google Cloud.

This saves costs for equipment, maintenance, upgrades, utilities, and facilities. More importantly, you offload some of the expertise onto your cloud provider when you choose IaaS or PaaS solutions, allowing your team to focus on creating value for your company. With public cloud, your environment becomes elastic and scalable like never before. 

Cloud Optimization Mistakes

Businesses can only gain the greatest cloud advantages by using the best solutions. It’s important to work with a cloud service provider and to evaluate the myriad service options they provide to find the right combination to meet your unique needs. The following describes common cloud optimization mistakes.

1. Failing to Work in the Flexible Cloud Environment

By design, a cloud environment is agile and flexible. Yet, some users continue to rely on manual tools that need human input. Overprovisioning, for example, prevents businesses from taking advantage of the cloud’s elasticity.

Some organizations don’t trust the cloud’s storage or performance. Thus, they install extra disk drives which increase costs and impose infrastructure limits.

Those who continue to impose manual intervention and overprovisioning can’t scale. This can arrest their growth when they hit the limits they’ve put on applications.

The cloud isn’t an allocated, static environment. It’s dynamic so it’s able to change as the demands change. While the cloud offers many solutions, it's key to choose what your company needs.

This is where expert cloud management services benefit companies. They ensure you have the right tools to optimize workloads and your return on investment (ROI).

2. Adopting an Inadequate Cloud Optimization Strategy

As you strive to take advantage of all cloud benefits, you’ll want to focus on cloud optimization strategies. Artificial Intelligence operations (AIOps) describes a software approach that surpasses human scale. One option is Turbonomic’s Application Resource Management (ARM).

ARM uses a top-down approach that begins at the application layer. This provides information about the needs of each application stack layer. It translates the environment’s resourcing needs into software actions.

This solution optimizes costs and eliminates waste by only using resources that are needed, with the optimal configuration for every workload. This creates the most efficient cloud-based consumption use.

ARM also provides data formats understood by IT, cloud operations, and application teams. This increases trust and improves response time and other key performance indicators. Now you can scale your operations automatically without human-related delays.

3. Inadequate Application Planning for Managing Cloud Data

Newer cloud users may try applying physical software and backup mindsets to the cloud environment. The cloud approaches application access, use, and storage from a different model. Short-sightedness can lead to trouble with integration and create disruptions.

Each cloud platform offers unique applications and features. It's not always easy for humans to make the right configuration and service choices, which is where a cloud management service can help you choose what you need. This will ensure that you optimize your data management and reduce waste.

4. Not Confirming or Understanding the Safeguards for Common Cyber Threats

Cybersecurity is a vital concern with increasing threats and attacks year over year. All data put into a computer system is at risk. When choosing a cloud provider, make sure you understand your responsibilities to uphold in the shared responsibility model between cloud provider and customer. 

For example, understand how they approach regular risk assessments on their cloud platform. What disaster recovery plan should you put in place? Of particular interest to government customers and those who work with sensitive data: do they meet all regulatory standards and compliance?

Make sure these questions are addressed in the service level agreement (SLA). Look for information describing how they handle privacy and security issues. Examples include data encryption, strong user authentication, anti-virus and malware, and patching.

5. Not Optimizing Business Data Backup Requirements

Don't assume that just because you're adopting a major cloud service provider, you are automatically meeting regulatory criteria for backups. This is especially true for message archiving. Registered investments and hedge fund companies may need longer archiving packages, so ensure you understand the options available.

Understand for each cloud provider service you employ how your data will be archived and the length of storage time. Check the SLA for a description of these services and their regulatory compliance.

6. Inadequate Bandwidth Sizing for Your Business Needs

Not having enough bandwidth causes slow application and internet performance. Prolonged production times cost businesses more money and interfere with meeting client needs. Thus, it’s vital to ensure your cloud service offers the right amount of bandwidth.

Latency describes the length of time between a user's action and the response. Network latency refers to delays within the network or internet.

This can cause significant problems for some applications. Ask about the latency risk if this presents a potential problem for your business.

7. Failing to Understand Your Cloud SLA

Never enter a contract with a cloud service provider without an SLA, and ensure you understand all the terms. The SLA defines set parameters and minimum levels for each service. The Cloud Standards Customer Council recommends including the following in an SLA:

  • Roles and responsibilities
  • Service and deployment models
  • Requirements for privacy and security
  • Disaster recovery plan
  • The exit process

The SLA affirms that you retain ownership of all data stored in the provider’s system. It details the infrastructure that the provider will maintain and all security standards.

8. Failing to Clarify the Cloud Vendor’s Lock-In Costs

Companies need to fully review and understand how adopting a particular cloud service may lead to "lock-in" costs down the road.

A vendor lock-in cost makes the customer dependent on the provider’s services. You can find yourself locked in once you have developed platform-dependent IT solutions. This proprietary application, software, equipment, or hardware only works on their platform.

Many organizations are concerned about how this may affect their ability to change to another vendor. Be sure you understand the pros and cons of your custom builds. Also, consider what it means for your future. 

Are You Searching for a Reliable Cloud Management Solution?

Now that you understand common cloud optimization mistakes and know what questions to ask. Finding the right cloud management service can significantly impact your ROI.

Turbonomic’s AI-powered ARM offers optimized cloud performance, compliance, and cost. Our software provides automated complete application stack management.

We’re proud to be the trusted cloud provider for over 3,000 enterprises worldwide. In fact, 33 percent of the Fortune 500 companies use our services. Request a personalized demonstration today to find the best solution for your business.

Topics: AWS, Azure, Cloud, cloud management, cloud optimization

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