Cloud native EDA tools & pre-optimized hardware platforms
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Application development has evolved to a stage where users expect continuous innovation and immediate responsiveness. In response, businesses are strategically leveraging cloud-native technologies to meet these demands while maintaining flexibility.
Various industry cloud providers offer tools and services to expedite application creation and decrease operational tasks. The term 'cloud-native' is a collective term for the different toolkits and methods that form a platform for building, deploying, and managing applications in the cloud.
As a whole, cloud-native technologies encompass the approach to design, construction, and operational structures in the cloud that utilize the rising model of cloud computing.
The specifies that through cloud-native technologies, organizations can ¡°build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds.¡± Cloud-native approaches can include service meshes, immutable infrastructure, microservices, and containers.
Cloud-native technologies utilize the speed and agility the cloud provides. Through the cloud delivery model, enterprises can take advantage of distributed computing, accelerating their business and growth. Using the scale, resilience, and elasticity cloud-native apps provide, organizations can ensure their ideas reach the market at a faster rate.
The defining feature of cloud-native applications is their independent service offerings. These services act as self-contained lightweight containers that can be scaled up or down depending on demand.
Immutable infrastructure enables cloud-native applications. In a traditional data center, you must repair, modify, and care for servers. In cloud-native applications, each server instance is provisioned as a virtual machine or a container. These servers are all almost identical. If one fails, the sheer quantity of the remaining functional servers ensures uptime. Treating underlying infrastructure as disposable allows you to provision and scale new servers quickly through automation.
Encapsulating a process into a container isolates the application and its dependencies from the underlying infrastructure. This process allows for the utilization of microservices, cloud platforms, containers, and continuous delivery technologies.
Native cloud applications exploit the flexibility and resilience of cloud computing. They, therefore, have many benefits compared to the traditional architectures for on-premises data centers.
The transition to cloud-native technologies has transformed the way software is developed by maximizing customer experiences across a business¡¯s platform. For a company to both thrive and set itself apart, it must remain flexible and dynamic. Organizations put themselves at a disadvantage when they fail to leverage cloud-native applications.
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 ¨C 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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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!
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.