Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.

Engineering 245

Engineering Tuning Latency Open Source 245

High Scalability

AUGUST 27, 2018

This is article was written by Dirceu Pereira Tiegs, Site Reliability Engineer at Auth0, and originally was originally published in Auth0. We designed Auth0 from the beginning so that it could run anywhere: on our cloud, on your cloud, or even on your own private infrastructure. Core service architecture.

Architecture 244

Architecture Cloud Traffic Infrastructure 244

The Netflix TechBlog

APRIL 12, 2022

By Alex Hutter , Falguni Jhaveri and Senthil Sayeebaba Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. In a federated graph architecture, how can we answer such a query given that each entity is served by its own service?

Engineering 271

Engineering Architecture Java Infrastructure 271

The Netflix TechBlog

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 206

Data Engineering Engineering Entertainment Software Engineering 206

Dynatrace

NOVEMBER 14, 2023

Site reliability engineering (SRE) has become increasingly important to organizations looking to keep up with the rapid pace of digital transformation. Effective site reliability engineering requires enterprise-wide transformation Without a unified understanding of SRE practices, organizational silos can quickly form between departments.

Best Practices 246

Best Practices Engineering DevOps Software Engineering 246

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Our audits would detect this and alert the on-call data engineer (DE).

Data Engineering 271

Data Engineering Engineering Processing Games 271

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MARCH 25, 2025

Following are some of the coolest things weve seen engineers do with Live Debugger. With Live Debugger, you can see the precise inputs called your by code in production so you can design your tests accordingly. Performance benchmarking Performance benchmarking is one of the unresolved mysteries of software engineering.

Benchmarking 147

Benchmarking Code Open Source Engineering 147

The Netflix TechBlog

SEPTEMBER 3, 2021

How can we achieve a similar functionality when designing our gRPC APIs? The solution we use within the Netflix Studio Engineering is protobuf FieldMask. This blog post covered how and why it is used at Netflix Studio Engineering for APIs that read the data.

Design 246

Design Java Code Servers 246

DZone

JANUARY 31, 2024

The reality of the startup is that engineering teams are often at a crossroads when it comes to choosing the foundational architecture for their software applications. The allure of a microservice architecture is understandable in today's tech state of affairs, where scalability, flexibility, and independence are highly valued.

Architecture 289

Architecture Scalability Design Engineering 289

The Netflix TechBlog

SEPTEMBER 15, 2021

By Ricky Gardiner , Alex Borysov Background In our previous post , we discussed how we utilize FieldMask as a solution when designing our APIs so that consumers can request the data they need when fetched via gRPC. API designers should aim for simplicity, but make their APIs open for extension and evolution.

Design 240

Design Scalability Engineering Performance 240

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 325

Serverless AWS Lambda Storage 325

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Personalized Experience Refresh Netflix Recommendation engine continuously refreshes recommendations for every member.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture 255

Architecture Best Practices Engineering Open Source 255

The Netflix TechBlog

FEBRUARY 9, 2021

Growth Engineering at Netflix?—?Automated In the Growth Engineering team, we refer to this as the top of the signup funnel. For more background on the signup funnel and Growth Engineering’s role in the signup funnel, please read our initial post on the topic: Growth Engineering at Netflix? Accelerating Innovation.

Engineering 172

Engineering Storage Latency Entertainment 172

The Netflix TechBlog

JUNE 15, 2022

By Alex Hutter , Falguni Jhaveri , and Senthil Sayeebaba In a previous post , we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily.

Engineering 192

Engineering Availability Architecture Tuning 192

The Netflix TechBlog

FEBRUARY 9, 2021

The Growth Engineering team is responsible for executing growth initiatives that help us anticipate and adapt to this change. In particular, it’s our job to design and build the systems and protocols that enable customers from all over the world to sign up for Netflix with the plan features and incentives that best suit their needs.

Engineering 145

Engineering Scalability Architecture Innovation 145

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. Let me start with the end-user impact.

AWS 246

AWS Traffic Architecture Azure 246

The Netflix TechBlog

MARCH 28, 2025

This scenario underscored the need for a new recommender system architecture where member preference learning is centralized, enhancing accessibility and utility across different models. Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources.

Tuning 165

Tuning Efficiency Latency Strategy 165

The Netflix TechBlog

NOVEMBER 17, 2022

Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. We employed an adaptive network design that is applicable to the wide variety of resolutions we use for encoding.

Network 300

Network Media Innovation Efficiency 300

The Netflix TechBlog

MARCH 14, 2023

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. Dawn Chenette , Design Lead This approach had several benefits for product engineering. At the same time we experienced growing engineering pains that limited our ability to scale. Incredible!”

Media 299

Media Innovation Energy Architecture 299

Dynatrace

JUNE 2, 2022

Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. Dynatrace news.

DevOps 147

DevOps Innovation Engineering Benchmarking 147

Scalegrid

FEBRUARY 24, 2025

This decoupling is crucial in modern architectures where scalability and fault tolerance are paramount. The architecture of RabbitMQ is meticulously designed for complex message routing, enabling dynamic and flexible interactions between producers and consumers.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

ACM Sigarch

DECEMBER 19, 2022

We look here at a Gedankenexperiment: move 16 bytes per cycle , addressing not just the CPU movement, but also the surrounding system design. A lesser design cannot possibly move 16 bytes per cycle. This base design can map easily onto many current chips. Thought Experiment. bytes remaining to move. Longer Prefetching matters.

Design 145

Design Systems Cache Network 145

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le).

Architecture 189

Architecture Availability Infrastructure Monitoring 189

High Scalability

FEBRUARY 19, 2021

In this article, we discuss the concepts of dependability and fault tolerance in detail and explain how the Ably platform is designed with fault tolerant approaches to uphold its dependability guarantees. Fault tolerant design approaches address these shortfalls to provide continuity both to business and to the user experience.

Engineering 165

Engineering Systems Availability Scalability 165

DZone

JULY 13, 2021

Experienced engineers used Perl scripts, vi, grep and awk to make log searches more efficient. These historical approaches worked for a different era of software applications: ones more monolithic in design, changing relatively infrequently (once every few weeks or months) and with only a handful of log types to monitor.

Google 261

Google Architecture Efficiency Cloud 261

DZone

OCTOBER 11, 2022

Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Why haven’t cash-strapped American schools embraced open source? Hacker News).

Java 244

Java Best Practices Google Analytics 244

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

The Netflix TechBlog

MARCH 25, 2019

Now, imagine yourself in the role of a software engineer responsible for a micro-service which publishes data consumed by few critical customer facing services (e.g. You are about to make structural changes to the data and want to know who and what downstream to your service will be impacted.

Infrastructure 225

Infrastructure Big Data Transportation Architecture 225

Uber Engineering

AUGUST 18, 2020

In October 2014, Uber had started its journey of scale in what … The post Designing Edge Gateway, Uber’s API Lifecycle Management Platform appeared first on Uber Engineering Blog. Evolution of Uber’s API gateway.

Design 144

Design Scalability Engineering Monitoring 144

DZone

DECEMBER 28, 2020

Performance testing is mainly a subset of Performance engineering and is also referred to as ' Perf Tests.' It is almost a part of the wider performance engineering portrait, concentrating on performance glitches in the architecture and design of any software.

Performance Testing 230

Performance Testing Testing Tools Testing Performance 230

Dynatrace

JULY 24, 2024

As we did with IBM Power , we’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Z and LinuxONE architecture (s390x). Dynatrace is designed to scale easily across the entire Kubernetes stack.

Availability 279

Availability Infrastructure Metrics Hardware 279

Dynatrace

OCTOBER 6, 2020

Observability as a topic is becoming more important as applications are using microservice architectures and are deployed in Kubernetes environments. Shortly after applying the heavy load, Davis, the Dynatrace AI engine, notified me of a problem. Dynatrace news. The setup . The service flow . Conclusion.

Metrics 276

Metrics Architecture Engineering Processing 276

Dynatrace

SEPTEMBER 27, 2024

The goal was to develop a custom solution that enables DevOps and engineering teams to analyze and improve pipeline performance issues and alert on health metrics across CI/CD platforms. Faced with these requirements, Omnilogy carefully evaluated the following two options for implementing a solution to the pipeline observability challenge.

Government 246

Government DevOps Azure Scalability 246

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. these metrics are also automatically analyzed by Dynatrace’s AI engine, Davis ).

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors.

Cloud 264

Cloud Energy Best Practices Cache 264