Some server-side rendering advantages include:

A server-side rendered application enables pages to load faster, improving the user experience.
When rendering server-side, search engines can easily index and crawl content because the content can be rendered before the page is loaded, which is ideal for SEO.
Webpages are correctly indexed because web browsers prioritize web pages with faster load times.
Rendering server-side helps efficiently load webpages for users with slow internet connection or outdated devices.

#SSR #UI

What are the Risks of Server-Side Rendering?

Server-side rendering disadvantages may include:

Rendering server-side can be costly and resource-intensive as it is not the default for JavaScript websites, and the server takes on the full burden of rendering content for users and bots.
While rendering static HTML server-side is efficient, rendering bigger, more complex applications server-side can increase load times due to the bottleneck.
Server-side rendering may not be compatible with third-party JavaScript code.
Rendering server-side may be ideal for static site generation, but frequent server requests and full page reloads can result in overall slower page rendering in more complex applications.

#SSR #UI

#ui #frontend #security #attack

https://youtu.be/cbB3QEwWMlA?si=gT49m5d9V7aRX1jb

#wasm #web

#wasm #docker

What Is Attribute-Based Access Control (ABAC)?

Attribute Based Access Control (ABAC) is an authorization model that grants access based on environmental conditions, as well as user and resource attributes.

#security #abac #access #authorization

#wasm execution in browser

#security #mobile

#security #owasp #api

#security #comptia

#cloud computing

#Cloud #architecture refers to how various cloud technology components, such as hardware, virtual resources, software capabilities, and virtual network systems interact and connect to create cloud computing environments.

A #multi_cloud #architecture lets an organization take advantage of two or more #cloud providers’ services to meet regulatory requirements, maximize vendor lock-in, and use best-in-class solutions.

#Cloud_native #architecture is an #application #development approach built on the principles of distributed workloads, #microservices, #containers, and #serverless functions. It emphasizes building from scratch or refactoring legacy applications to take full advantage of #cloud infrastructure.

#Cloud_first is a strategy where you prioritize cloud technologies over traditional on-premises infrastructure.

The #SaaS maturity model is broken down into four levels,

Level 1 (Single- #Tenant, Custom Instances)

At this level of the SaaS maturity model, the only way to support multiple customers (tenants) is to provide each of them a separate copy of the software. Because the provided copies can be customized by writing custom code, each customer is required to run a different instance of the software and scalability is non-existent, even though the software is technically delivered as a service.

#cloud

Level 2 (Single-Tenant, Configurable Instances)

At level 2, software can be customized by changing its configuration instead of writing custom code. In other words, all tenants interact with the same code configured in different ways, with each tenant running their own copy on a separate virtual or physical machine. Consequently, scalability and multi-tenancy are still not achieved.

#cloud

Level 3 (#Multi_Tenant , Configurable)

The third level of the SaaS maturity model can be described as being almost the perfect case because it includes both configurability and multi-tenancy, allowing each tenant to quickly and efficiently customize the same shared instance through a self-service tool. The only thing missing is scalability because software can be scaled up only by moving it to a more powerful server, which isn’t cost-effective.

#cloud

Level 4 (Multi-Tenant Configurable & #Scalable)

Level 4 is the highest level of the SaaS maturity model. It combines the configurability and #multi_tenancy of level 3 with scalability, making it possible to transparently add new software instances to the dynamic pool of instances with the help of a load balancer, whose job is to maximize the utilization of storage, processing power and other resources. Each tenant’s data is stored separately, and a virtually infinite number of tenants can be seamlessly accommodated by adjusting the number of servers on the backend to meet the current demand.

#cloud

#cloud_ready vs #cloud_native