Cloud-Native Technologies: What You Need to Know | Synopsys Cloud
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We have reached a point in application development where users expect constant innovation and nearly instantaneous responsiveness. Today, businesses must operate more strategically and intelligently to keep up with demand. Cloud-native technologies embrace this need for responsiveness while remaining flexible.

Industry cloud providers provide tools and services that help developers create applications more quickly and reduce operational tasks. The term cloud-native exists as a catch-all for the various toolkits and methods that create a platform for building, deploying, and managing cloud-native applications.


What is Cloud-Native?

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 Cloud-Native Computing Foundation 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.


Characterizing Cloud-Native Applications

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.


Key Attributes and Benefits of Cloud-Native 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. 

  • Independent. Cloud-native applications can be built independently of each other, allowing for individual deployment and maintenance. 
  • Resilient. Even during an infrastructure shortage, cloud-native applications can stay online. They can deploy and update software with minimal-to-no downtime. 
  • Standardized. Due to the Cloud-Native Computing Organization and open source standards, cloud-native technologies stay regulated and standardized, increasing portability and accessibility. 
  • Flexible. Cloud-native applications are smaller than traditional applications, making them easier to iterate and develop. 
  • Affordable. Cloud-native technologies often utilize a pay-per-use model resulting in lower hosting costs. Through the economies of scale, spending will shift from capital expenditures to primarily operational-based expenditures, increasing affordability. 
  • Efficient. Utilizing cloud-native technologies allows for faster development and less time dealing with infrastructure quirks, an appealing feature for developers. Happier developers result in higher-quality products, increased innovation, and efficient development.
  • Modern. Cloud-native applications can take advantage of multi-cloud compatible tooling and avoid predatory pricing. You can always migrate to an alternative public cloud with better offerings, leaving legacy offerings behind. 

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, 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.

 

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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!


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. 

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