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With organizations relying increasingly on the cloud, an effective cloud consumption management strategy is vital. Currently, a variety of complex cloud services and models are available for consumers to choose from. Cloud consumption management tools can help you navigate and select the best model to ensure significant increases in operational efficiencies as well as reductions in your business’s expenditures.
At its core, cloud management involves controlling cloud infrastructure, resources, and services. Cloud consumption management refers to the tools that help you monitor the number of resources your cloud consumes, including energy, costs, and data.
Through a well-planned cloud management strategy, IT personnel can better control the dynamic environments that are cloud infrastructures. Cloud consumption management leads to workflow automation that helps operations teams manage cloud instances without human intervention. Furthermore, solid management allows for cloud analyses that monitor workloads and user experiences.
From the beginning of your cloud adoption, cloud consumption management is critical. Without proper management, costs can spiral. Utilizing a variety of short and long-term optimization strategies can reduce your business’s spend in the long term.
1. Choose the right provider
Choosing the right provider is key. Consider first where you would like your applications to run. Do you prefer virtual machines or services containerized and hosted in a serverless computing environment? The most suitable provider will offer services that fit your workflow environment.
2. Balance cost and need
Balancing cost and need is always an additional challenge. Your need-redundancy can narrow your hosting options. For example, some providers distribute workloads across multiple data centers. This method is especially affordable. You will have less redundancy, however, than if you mirrored workloads across more than one region, a more costly solution.
3. Minimize data movement
Minimizing data movement can decrease consumption and spending. If you must move data, choose a service provider that allows transfers, but keep in mind the potential for increased security risks.
4. Look into third-party tools
Research the third-party tools that your cloud provider supports. Third-party cloud consumption management tools offer improved capabilities for management, monitoring, and security. They even work better than cloud-native tools in multi-cloud environments.
Other useful tools include cost optimization mechanisms that eliminate unused resources and increase elasticity.
5. Turn to open-source platforms and databases
To further save on cloud expenditures, look into open-source platforms and databases in addition to automation and containerization. Running your cloud in a cheaper region and consolidating billing can also decrease costs in the long term.
6. Utilize advanced technologies
Utilizing advanced technologies like artificial intelligence (AI) and machine learning (ML) can reduce your cloud costs significantly. By incorporating capabilities to scan workloads, detect errors, and alert administrators, you will save time and money.
Cloud provisioning plays a key role in cloud consumption management. Cloud provisioning specifically refers to how a customer uses a cloud provider’s services. It can include virtual machine (VM) instances, storage volumes, machine learning, and data analytics.
Smart resource allocation involves utilizing VMs that can be appropriately scaled, specifically during development phases. Ensuring your cloud capacity parameters are optimized will help your workloads run efficiently while saving you money. The cloud provider’s tools and templates can help you decide which applications run properly and what you can cut.
There are three types of provisioning methods:
No one architecture guarantees peak performance for every application. There are, however, tools that generally help increase performance and operating efficiency. By utilizing tools that apply rules to track workloads, you can readjust resources as needed. These tools can also measure which workloads are most taxing
With microservices, applications are broken into smaller individually deployed programs. Tasks then become easily scalable and more responsive than with a monolithic counterpart.
With event-driven architectures, known as serverless computing, developers can place code for specified functions and behaviors in the cloud. When an event triggers, it then operates until completion and ceases to further consume cloud resources.
With caching, applications can execute processes much more quickly than if they had to rely on regular storage. Regular storage, although quite large, can slow applications.
With load balancing, you can distribute network traffic so that instances always operate at peak efficiency. Network services often offer load balancer applications on their servers.
In general, the cloud offers a variety of tools and resources to reduce cloud consumption. Utilizing a handful of these resources that specifically fit your organization’s applications can significantly improve your operating costs.
Synopsys is the industry’s largest provider of electronic design automation (EDA) technology used in the design and verification of semiconductor devices, or chips. With Synopsys Cloud, we’re taking EDA to new heights, combining the availability of advanced compute and storage infrastructure with unlimited access to EDA software licenses on-demand so you can focus on what you do best – designing chips, faster. Delivering cloud-native EDA tools and pre-optimized hardware platforms, an extremely flexible business model, and a modern customer experience, Synopsys has reimagined the future of chip design on the cloud, without disrupting proven workflows.
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