Table of Contents

Introducing Synopsys Cloud

Cloud native EDA tools and pre-optimized hardware platforms. Experience unlimited EDA licenses with true pay-per-use on an hourly or per-minute basis.

Cloud storage is a computing model for storing files and data through a cloud computing provider, allowing for access through the internet or private virtual network connections. The provider safely stores and maintains servers and networks, ensuring constant uptime with abilities for elastic capacity and virtually unlimited scaling. Storing your data in the cloud grants numerous benefits over traditional storage. This post will look at some key advantages of cloud-based data storage.

Why Cloud-Based Data Storage Makes Sense

Cloud storage is a cost-effective, scalable, and reliable method of storing your small business or large enterprise data. Cloud storage can support growth at any scale regardless of your business’s size or needs. Below are the top 14 reasons that data stored in the cloud makes sense.


1. Cost-Effectiveness 

Cloud storage rids businesses of the need to purchase hardware, provision storage, and any sudden new capital expenses necessary for spikes in business. Removing and adding storage on demand, changing performance, moving infrequently accessed data to low-cost storage, and paying only for the storage that’s used creates significant cost savings. Through the cloud, storage becomes an ongoing operating expense instead of a capital expense with upfront investments and tax implications.


2. Accelerated Deployment 

When development is rolling, infrastructure should never be a bottleneck. Cloud storage services allow for data delivery whenever and wherever it’s needed. This speed allows developers to continue to focus on their at-hand challenges rather than waiting for storage management.


3. Cloud-Native Applications 

Cloud-native applications use technologies such as containerization and serverless computing to satisfy customer demands flexibly. These applications are made of small independent components called microservices that communicate internally by sharing data or states. 


4. Efficient Data Management 

Through cloud storage lifetime management policies, your data is managed efficiently. This component allows for powerful data management tasks, including management for compliance requirements and automated tiering. It also allows you to replicate data enabling access to new regions while meeting compliance requirements. 


5. Scalability Features 

Cloud storage provides almost unlimited storage capacity, allowing for scaling up as quickly as necessary. Whether your business requires specific analytics, data lakes, cloud-native applications, or backups, cloud storage can meet these demands with virtually unlimited capacity. 


6. Data Durability

Cloud storage provides for data to be redundantly stored on multiple devices and data centers, ensuring availability. Cloud providers generally offer storage capacity significantly faster than on-premises environments, enabling replication between regions at high speeds with constant uptime and availability. 


7. Disaster Recovery and Backups 

Embedded data management policies allow for automatic data migration in addition to archival vaults to help with legal or regulatory requirements.

8. Security 

Cloud storage allows you to control where your data is stored, who accesses it, and what data resources are consumed at every moment. Data is encrypted at rest and in transit. Additionally, access controls ensure authorized personnel only access specified data. Data centers and network architectures are built specifically for security-sensitive organizations. 


9. Increased Agility

Managing your resources requires simply modifying your control dashboard. In other words, you can reduce the time to make resources available from potentially weeks to minutes, allowing for increased agility. This frees up employees for other tasks, with more options for extracting insightful data analytics


10. Simpler Data Analytics

Analytics require large-scale affordable, and highly available storage pools known as data lakes. Data lakes, built on object storage, guarantee that data is kept in its native form with metadata allowing for selective extraction and analysis. Data lakes can be placed at the center of many data warehouses and processing types, allowing for easier project completion in less time with more targeted relevance.


11. Simpler Creation of Software Development Environments 

Software test and development environments generally require separate independent duplicate storage environments to be managed for testing. In traditional on-premises environments, setting this up with the up-front capital costs may be extensive. An on-cloud solution gets rid of these headaches. 


12. Compliance Requirements

There are many cloud data compliance controls designed for deploying and enforcing compliance controls on your data. Through a shared responsibility model, cloud vendors allow customers to manage risks, assuring well-established frameworks and programs. 


13. Database storage 

can deliver the ultra-low latency required for high-performance workloads and latency-sensitive applications. Because it has such high performance and is readily updatable, block storage can be used to set up a robust, scalable, and efficient database. Because each block is self-contained, the database can always perform optimally, even during stages of growth.


14. Greener Operating 

Rather than utilizing traditional on-premises infrastructure, switching to cloud storage can cut energy consumption by up to 70%. 

Synopsys, EDA, and the Cloud

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.


Take a Test Drive!

Synopsys technology drives innovations that change how people work and play using high-performance silicon chips. Let Synopsys power your innovation journey with cloud-based EDA tools. Sign up to try Synopsys Cloud for free!

About The Author

Gurbir Singh is group director, Cloud Engineering, at Synopsys. He has a demonstrated history of leadership in the software industry. In his current role, he leads the development of the Synopsys Cloud product, which enables customers to do chip design on the cloud using EDA-as-a-Service (SaaS) as well as flexible pay-per-use models. Gurbir has run organizations to develop cloud SaaS products, machine learning applications, AI/ML platforms, enterprise web applications, and high-end customer applications. He is experienced in building world- class technology teams. Gurbir has a master’s degree in computer science, along with patents and contributions to publications. 

Continue Reading