The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Adrian Cockcroft

FEBRUARY 9, 2023

Picture by Adrian — Ka’anapali sunset 2023 There’s been a lot of discussion about platforms recently, I talked about why I think it’s a current hot meme on the WTF Podcast with Charles Humble recently, and Sam Newman just wrote a blog post “ Don’t call it a platform ”.

Engineering 137

Engineering Serverless Lambda AWS 137

ACM Sigarch

OCTOBER 10, 2022

Although, only recently the security attacks on quantum computers have begun to be demonstrated, this brings to the forefront the need to consider security of quantum computer architectures as a first-class design objective. Why Research Security of Quantum Computers?

Architecture 72

Architecture Hardware Programming Cloud 72

Uber Engineering

DECEMBER 19, 2019

Every day around the world, millions of trips take place across the Uber network, giving users more reliable transportation through ridesharing, bikes, and scooters, drivers and truckers additional opportunities to earn, employees and employers more convenient business travel, and hungry … The post Uber Infrastructure in 2019: Improving Reliability, (..)

Infrastructure 136

Infrastructure Transportation Network Engineering 136

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. How can organizations use AI observability to optimize AI costs? What is explainable AI?

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

NOVEMBER 17, 2023

In the first blog post of this series , we explored how the Dynatrace ® observability and security platform boosts the reliability of Site Reliability Engineers (SRE) CI/CD pipelines and enhances their ability to focus on innovation. Infrastructure layer (Kubernetes Cluster, GCP, Standalone server, etc.)

Innovation 216

Innovation Architecture Code Processing 216

Strategic Tech

MARCH 16, 2021

There are a few qualities that differentiate average from high performing software engineering organisations. I believe that attitude towards the design of code and architecture is one of them. In Accelerate , Nicole Forsgren shows a link between well-designed, loosely-coupled architecture and more frequent software delivery.

Software Engineering 80

Software Engineering Design Engineering Software 80

Dynatrace

JULY 7, 2022

AIOps and observability—or artificial intelligence as applied to IT operations tasks, such as cloud monitoring—work together to automatically identify and respond to issues with cloud-native applications and infrastructure. The framework forms the basis of the SAE (Society of Automotive Engineers) automation levels 1 through 5 for cars.

Artificial Intelligence 174

Artificial Intelligence Automotive DevOps Infrastructure 174

Dynatrace

FEBRUARY 10, 2023

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. What is a data lakehouse?

Efficiency 268

Efficiency Performance Analytics DevOps 268

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. Pensive infrastructure comprises two separate systems to support batch and streaming workloads. What’s Next? But our job is nowhere near done.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

MAY 24, 2023

The core operating system has a lightweight footprint of only a few hundred MBs when uncompressed, yet it is powerful enough to support various profiles, including x64 or Arm64-based architectures. Tracking the availability, health, and resource utilization of the underlying Kubernetes infrastructure is essential for several reasons.

Azure 220

Azure Monitoring Operating System Virtualization 220

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Some companies are still using different tools for application performance monitoring, infrastructure monitoring, and log monitoring. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 256

Cloud Azure Analytics AWS 256

The Netflix TechBlog

NOVEMBER 17, 2022

In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. 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.

Network 292

Network Media Innovation Efficiency 292

Strategic Tech

JULY 21, 2020

Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. What architecture will be optimal for enabling that business vision? How are we going to deliver the new architecture?

Architecture 98

Architecture Design Software Architecture Strategy 98

Dynatrace

JANUARY 17, 2023

This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. Code changes are often required to refine observability data.

Analytics 272

Analytics Metrics Open Source Java 272

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? Dynatrace news. How can we optimize for performance and scalability?

Analytics 245

Analytics Open Source Serverless Architecture 245

Dynatrace

APRIL 21, 2022

Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale.

Database 237

Database DevOps Analytics Servers 237

Dynatrace

FEBRUARY 10, 2022

Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. The demands of digital transformation can create a difficult tightrope for organizations to walk.

Artificial Intelligence 180

Artificial Intelligence Performance Innovation Speed 180

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. This kind of IT automation “ingests data from every layer in the stack — from the infrastructure layer to the application layer and even user experience data,” says Bipin Singh, director of product marketing at Dynatrace. And then we never see these issues manifest again.

Innovation 212

Innovation Infrastructure DevOps Azure 212

Uber Engineering

MARCH 13, 2018

To build and maintain infrastructure at scale, easy access to the current state of the system is paramount.

Infrastructure 75

Infrastructure Engineering Systems Scalability 75

Dynatrace

NOVEMBER 1, 2021

This blog will run through everything you need to know about the Dynatrace/PTC partnership and how Dynatrace can provide more visibility into your PTC environment. To overcome these challenges, the Dynatrace platform delivers the deepest and broadest multicloud observability, covering apps, infrastructure, and user experience.

Innovation 197

Innovation Monitoring Infrastructure Servers 197

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. appeared first on Dynatrace blog. Read eBook now! The post What is IT automation?

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. Figure 1 Investment shift from infrastructure-centric to application-centric. This is a big topic to cover in a summary blog, so we’ll narrow the topic to center on market drivers and challenges.

DevOps 210

DevOps Innovation Cloud Programming 210

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Dynatrace provides out-of-the-box distributed tracing for Kubernetes and Google App Engine stacks, as well as full-stack Kubernetes Container Optimized OS support.

Google 213

Google Cloud Serverless Innovation 213

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Uber Engineering

JANUARY 15, 2016

How Uber’s infrastructure works with Schemaless, the datastore using MySQL that’s kept Uber Engineering scaling since October 2014. In Project Mezzanine: … The post The Architecture of Schemaless, Uber Engineering’s Trip Datastore Using MySQL appeared first on Uber Engineering Blog.

Architecture 79

Architecture Infrastructure Engineering Design 79

Uber Engineering

APRIL 12, 2018

As the Vice President of Engineering for Uber’s Core Infrastructure group, Matthew Mengerink faces a daunting task.

Infrastructure 81

Infrastructure Engineering Architecture Cloud 81

Dynatrace

MAY 3, 2022

To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. The result of adding new technology without planning for the overhead, such as introducing new dashboards or messaging services, or adopting multiple cloud vendors without the infrastructure to manage it.

Cloud 171

Cloud DevOps Architecture Technology 171

Dynatrace

DECEMBER 15, 2022

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure.

Strategy 174

Strategy AWS Open Source Transportation 174

Uber Engineering

AUGUST 14, 2019

Once identified, … The post Less is More: Engineering Data Warehouse Efficiency with Minimalist Design appeared first on Uber Engineering Blog. In our experience, optimizing for operational efficiency requires answering one key question: for which tables does the maintenance cost supersede utility?

Efficiency 103

Efficiency Engineering Design Storage 103

Dynatrace

MAY 5, 2021

OneAgent technology simplifies deployment across large enterprises and relieves engineers of the burden of instrumenting their applications by hand. Both Kubernetes monitoring and routing capabilities now use a containerized architecture and are managed by the new Dynatrace Operator. Dynatrace news. What’s ahead. New to Dynatrace?

Cloud 218

Cloud Traffic Monitoring Open Source 218

Dynatrace

SEPTEMBER 30, 2019

When thousands of lives are at risk, software infrastructure can make the difference between life and death. The team also recognized the infrastructure is only one part of the equation since the applications that run on that infrastructure are how residents seek information and engage. How Dynatrace helped.

DevOps 159

DevOps Traffic Website Infrastructure 159

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Chien’s blog post points to a paper by Bashir et al. Therefore, the $1.4B

Energy 98

Energy Architecture Hardware Metrics 98

Dynatrace

SEPTEMBER 2, 2020

The scope and scale of these environments are beyond human capacity to manage, with millions to billions of microservices coming and going each second in container-based architectures across multiple clouds. To manage the complexity of these environments, teams need AI-assistance.

Education 173

Education Strategy Innovation Website 173

Uber Engineering

NOVEMBER 20, 2018

Uber’s software architectures consists of thousands of microservices that empower teams to iterate quickly and support our company’s global growth.

Software Architecture 109

Software Architecture Architecture Mobile Infrastructure 109

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. If engineers cannot deliver on the SLO targets, the organization risks failure to comply with its SLAs to customers.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184