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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Scale automatically based on the demand and traffic patterns.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. What is Docker? Watch webinar now!

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9 key DevOps metrics for success

Dynatrace

Let’s start with the four most common metrics Google’s DevOps Research and Assessment (DORA) team established known as “ The Four Keys.” Deployment frequency measures both long-term and short-term efficiency. This metric gauges the stability and efficiency of your DevOps processes.

DevOps 206
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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

We started seeing signs of scale issues, like: Slowness during peak traffic moments like 12 AM UTC, leading to increased operational burden. At Netflix, the peak traffic load can be a few orders of magnitude higher than the average load. Hence, the system has to withstand bursts in traffic while still maintaining the SLO requirements.

Java 202
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Building a Profitable UberEats Clone_ Your Ultimate Guide to Success

Tech News Gather

By leveraging the power of mobile technology, UberEats provides a seamless and efficient way for users to order their favorite meals from a wide range of eateries. UberEats also excels in providing a reliable and efficient delivery service. Choose a robust technology stack that can handle high traffic and accommodate future growth.

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Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

Getting fast initial render with streaming server-side rendering, efficient component-level updates and state transitions, while also setting up a performant loading and bundling strategy for all the assets is hard and time-consuming technical work. Stay tuned for more in 2022! Commerce At Shopify Scale: Hydrogen Powered By Oxygen.

Cache 136
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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

With dependable near real-time data, Studio teams are able to track and react better to the ever-changing pace of productions and improve efficiency of global business operations using the most up-to-date information. Centralized data will be moved to third party services such as Google Sheets and Airtable for the stakeholders.

Big Data 253