Hacker Earth Developers Blog

JUNE 26, 2020

In our fourth episode of Breaking 404 , we caught up with Sergey Fedorov, Director of Engineering, Netflix to understand how one of the world’s biggest and most famous Over-The-Top (OTT) media service provider, Netflix, handles its content delivery and network acceleration to provide uninterrupted services to its users globally.

Internet 154

Internet Engineering Architecture Network 154

Apiumhub

AUGUST 10, 2023

The first two days of the conference (October 9-10) will be dedicated to talks and networking, and the last day (October 11th) to hands-on workshops. This year’s edition will focus on modern practices in software architecture: how to be more effective, efficient and enjoy what you do.

Fractional CTO 84

Fractional CTO Architecture Conference Software 84

Netflix Tech

FEBRUARY 9, 2021

A few years ago, we decided to address this complexity by spinning up a new initiative, and eventually a new team, to move the complex handling of user and device authentication, and various security protocols and tokens, to the edge of the network, managed by a set of centralized services, and a single team.

Authentication 91

Authentication Systems Review Architecture Microservices 91

CircleCI

SEPTEMBER 22, 2021

With companies expecting software products to handle constantly increasing volumes of requests and network bandwidth use, apps must be primed for scale. If you need resilient, resource-conserving systems with rapid delivery, it is time to design a distributed system. Your metric should be efficiency. Reliability.

Systems Review 59

Systems Review System Microservices SOA 59

LeanEssays

JULY 14, 2019

It took some years to evolve to a software architecture that supported such teams, but eventually small, independent services owned by two-pizza teams made up the core of Amazon’s infrastructure. That’s when newly minted internet companies tried to grow systems many times larger than any enterprise could manage.

Software Review 91

Software Review Software Engineering Weak Development Team Continuous Delivery 91

Datavail

JANUARY 2, 2024

This includes evaluating aspects such as system architecture, hardware, software, and various performance metrics that will enable your business to identify potential roadblocks or barriers that may negatively impact the migration.

AWS 52

AWS Cloud Performance Hardware 52

Netflix Tech

DECEMBER 14, 2018

In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these these will serve as the necessary motivation for the architectural choices we made. For example, the bottle neck for MDVS is CPU as well as memory (as it needs to work with large documents for validation).

Media 97

Media Systems Review Storage Performance 97

Exadel

OCTOBER 11, 2022

QAs also need a technical set of knowledge that encompasses information about operating systems, databases and SQL, computer networks, web technologies, mobile platforms and technologies, and (for automation QA engineers ) the basics of programming. Benefits of a Good Theoretical Knowledge Base in Practice.

Testing 52

Testing Quality Assurance Knowledge Base Guidelines 52

Altexsoft

SEPTEMBER 16, 2021

This process involves numerous pieces working as a uniform system. Digital twin system architecture. A digital twin system contains hardware and software components with middleware for data management in between. Components of the digital twin system. The twinning, however, doesn’t happen out of thin air.

IoT 64

IoT Technical Review Technical Advisors Energy 64

Brainvire

OCTOBER 22, 2018

Query – Ask any question or perform any type of search – structured, unstructured, geo, metric, etc. With a network of more than 1,300 merchants in 6 countries, ShopBack provides its users a host of reward points for shopping through their site. ShopBack’s current user-search architecture was based on AWS Cloud platform.

Industry 40

Industry Case Study Automotive Healthcare 40

Confluent

MAY 9, 2019

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Building the KPay payment system.

Microservices 94

Microservices Metrics Systems Review Architecture 94

James Shore

JUNE 4, 2021

I call this validated learning because it is always demonstrated by positive improvements in the startup’s core metrics. You’ll often do so via the user interface, but you can also use tools to explore APIs and network traffic, and you can also observe hidden parts of the system, such as logs and databases. Use the software.

Software Review 75

Software Review Systems Review Test-Driven Development Technical Review 75

LeanEssays

FEBRUARY 18, 2014

How do teams maintain their autonomous character while working in concert with an increasingly large network of other teams? In a lean environment, the leader’s role is to set up strong teams, to be sure, but it is also to devise a system – let’s call it a goal system – which assigns goals to teams. Can’t hurt to give it a try.”

Technical Advisors 52

Technical Advisors Continuous Delivery Software Review Systems Review 52

ProdOps

JULY 1, 2018

After a multilevel iteration phase that included additional networking and service encapsulation, we turned to implement the entire monitoring and alerting system’s as templates as well. For this task we implemented CloudWatch Metrics, Alerts, Logs and Dashboards all deployed as CloudFormation stacks.

AWS 40

AWS Architecture Testing Metrics 40

AWS Machine Learning - AI

JANUARY 28, 2025

To effectively optimize AI applications for responsiveness, we need to understand the key metrics that define latency and how they impact user experience. These metrics differ between streaming and nonstreaming modes and understanding them is crucial for building responsive AI applications.

Artificial Inteligence 67

Artificial Inteligence Generative AI Metrics Applications 67

AWS Machine Learning - AI

APRIL 2, 2025

These failures generally fall into two categories: application-level failures, which stem from bugs in user code or external system issues, and system-level failures, caused by node crashes, network disruptions, or internal bugs in Ray. Finally, report the checkpoint to Ray Train using ray.train.report(metrics, checkpoint=.).

Scalability 92

Scalability Artificial Inteligence AWS Training 92