Thu.Mar 07, 2024

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Scalable Products: Why, When, and How to Scale Your Digital Product?

DZone

Do you know what the global edtech and smart classroom market size was in 2022? No idea? Then, we must inform you that it was somewhere around USD 115.80 billion, which is estimated to grow from USD 133.55 billion in 2023 to USD 433.17 billion in 2030. Yes, you read that right! And among all the contributors to these numbers, Physics Wallah has been a well-known name.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

David J. Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data sc

Systems 226
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Time Data Series: Getting Started With PHP Zmanim

DZone

Acknowledgments In this blog, I’m explaining concepts and techniques related to both the way so-called “Jewish times” (zmanim) are calculated; as well as the techniques needed to use the PHP Zmanim library – a library of functions that let you easily calculate Jewish times. The PHPZmanim library is maintained by Zachary Weixelbaum. As with so many things in tech today, PHP Zmanim is itself based on the foundational Kosher Java library by Eliyahu Hershfeld.

Java 247
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Accenture, AWS, and Dynatrace: Racing towards a modern observability strategy

Dynatrace

With the complexity of today’s technology landscape, a modern observability strategy is critical for organizations to stay competitive. With digital transformation, cloud migration, and the explosion of data, a unified observability and security approach is what will set businesses apart. Together with industry-leading partners , Dynatrace delivers end-to-end observability to enterprises across the globe, enabling intelligent automation and faster innovation.

Strategy 193
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O11y Guide, Cloud-Native Observability Pitfalls: Sneaky, Sprawling Mess

DZone

Are you looking at your organization's efforts to enter or expand into the cloud-native landscape and feeling a bit daunted by the vast expanse of information surrounding cloud-native observability? When you're moving so fast with agile practices across your DevOps, SREs, and platform engineering teams, it's no wonder this can seem a bit confusing. Unfortunately, the choices being made have a great impact on both your business, your budgets, and the ultimate success of your cloud-native initiati

Cloud 169
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Uber Builds Scalable Chat Using Microservices with GraphQL Subscriptions and Kafka

InfoQ

Uber replaced a legacy architecture built using the WAMP protocol with a new solution that takes advantage of GraphQL subscriptions. The main drivers for creating a new architecture were challenges around reliability, scalability, observability/debugibility, as well as technical debt impeding the team’s ability to maintain the existing solution.

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The Pain of AWS EKS and Stateful Workloads

Percona

I really like AWS and the way they build their products, I really do. But for some reason, AWS Elastic Kubernetes Service (EKS) provides one of the worst user experiences. There are a couple of huge pain points that I want to cover in this quick blog post.

AWS 83