Remove Cache Remove Efficiency Remove Serverless Remove Traffic
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

We went from an essentially serverless model in a monolithic service, to deploying and maintaining a new microservice that hosted our app backend endpoints. This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI.

Latency 233
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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.

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Top 9 web development trends to expect in 2022

Enprowess

Serverless Architecture. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 Serverless Architecture. Single Page Applications (SPAs). Progressive web applications (PWA).

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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. GraphQL - created and open sourced by Facebook - is a powerful query language for APIs and a more efficient alternative to REST. A headless CMS using GraphQL.

Systems 63
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Lessons Learned Rebuilding A Large E-Commerce Website With Next.js (Case Study)

Smashing Magazine

That was until we went to production with our highest traffic customer. To mitigate the performance issues, we had to add a lot of (unbudgeted) extra servers and had to aggressively cache pages on a reverse proxy. project in a flexible and efficient way ,” Vadorequest, Dev.to. As a result, they found that a 0.1s Challenges.

Website 115
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A one size fits all database doesn't fit anyone

All Things Distributed

Tinder is one example of a customer that is using the flexible schema model of DynamoDB to achieve developer efficiency. Zynga also uses ElastiCache (Memcached and Redis) in place of their self-managed equivalents for in-memory caching. Queries that used to take 30 seconds now take one second.

Database 167