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 264

Data Engineering Engineering Processing Games 264

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

Dynatrace

FEBRUARY 4, 2021

What is site reliability engineering? Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. SRE bridges the gap between Dev and Ops teams.

Engineering 254

Engineering DevOps Government Latency 254

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

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. SRE bridges the gap between Dev and Ops teams. SRE focuses on automation.

Engineering 176

Engineering DevOps Government Latency 176

The Netflix TechBlog

SEPTEMBER 29, 2022

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 212

Latency Systems Media Serverless 212

Dynatrace

JANUARY 23, 2024

Dynatrace unified observability and security is critical to not only keeping systems high performing and risk-free, but also to accelerating customer migration, adoption, and efficient usage of their cloud of choice. What will the new architecture be? What can we move? How can we ensure we see performance gains once migrated?

Cloud 212

Cloud Artificial Intelligence Performance AWS 212

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. You might optimize your cooling system or move your data center to a colder region with reduced cooling demands. Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure.

Cloud 209

Cloud Energy Best Practices Cache 209

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges. Observing AI models Running AI models at scale can be resource-intensive.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. AI data analysis can help development teams release software faster and at higher quality.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. That’s where causal AI can help. Causal AI is particularly effective in observability. Timeliness.

Government 200

Government Analytics Benchmarking Storage 200

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. The result is increased efficiency, reduced operating costs, and enhanced productivity. Cloud automation.

Software 187

Software Software Analytics Big Data 187

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Suboptimal architecture design. This awareness is important when the goal is to drive cost-conscious engineering.

Best Practices 232

Best Practices Strategy Cloud AWS 232

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 247

AWS Efficiency Azure Cloud 247

Dynatrace

FEBRUARY 16, 2024

In the past five years, delivering innovation more efficiently has remained at the forefront of customer demand. As environments began to scale with cloud-native and microservices architectures to meet this demand, security approaches didn’t evolve accordingly. During their breakout session, Byrne and St. Finally, St.

Analytics 182

Analytics Engineering Cloud Traffic 182

Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. What is Azure Linux? Today, it’s a generally available container host for AKS and AKS-HCI. Performance.

Azure 227

Azure Monitoring Operating System Virtualization 227

DZone

DECEMBER 28, 2020

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. Performance testing is mainly a subset of Performance engineering and is also referred to as ' Perf Tests.'

Performance Testing 220

Performance Testing Testing Tools Testing Performance 220

Dynatrace

MARCH 8, 2022

At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. These enhancements help development teams bring higher quality and more secure innovations to market faster and with greater efficiency. “We They’re really getting more of a system.”?.

Code 182

Code Software Software Serverless 182

The Morning Paper

OCTOBER 11, 2020

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. Nanosatellite systems have a GSD of around 3.0m/px. Satellites are changing! Physical constraints.

Systems 125

Systems Latency Architecture Energy 125

Dynatrace

JANUARY 13, 2022

More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. Reducing fragmentation enables DevOps and site reliability engineering (SRE) teams to work in a unified way to ensure code quality and security.

DevOps 268

DevOps Speed Artificial Intelligence Innovation 268

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. IT automation tools can achieve enterprise-wide efficiency. Batch process automation.

Artificial Intelligence 189

Artificial Intelligence Tuning Strategy Big Data 189

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. This means organizations are increasingly using Kubernetes not just for running applications, but also as an operating system.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. have altered the many assumptions that guided the design and optimization of the Snowflake system. The main two tiers of this storage system therefore, are not disaggregated and are tied to the compute nodes.

Storage 112

Storage Engineering Cache Serverless 112

The Netflix TechBlog

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 325

Network Transportation AWS Cloud 325

Dynatrace

SEPTEMBER 9, 2022

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. Improved efficiency. With improved application efficiency, teams can service clients better and access cloud-native tools. Executive-level and business benefits.

Strategy 227

Strategy Benchmarking Serverless Infrastructure 227

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. While shifting to a multicloud model offers many advantages, the change also introduces more data and systems to track and a complex matrix of systems to manage.

Cloud 178

Cloud DevOps Architecture Technology 178

Percona

MARCH 7, 2023

It’s an open source alternative to AWS Aurora Postgres that utilizes a serverless architecture. Architecture A Neon installation consists of compute nodes and the Neon storage engine. Compute nodes are stateless PostgreSQL nodes backed by the Neon storage engine.

Serverless 110

Serverless Storage Open Source Architecture 110

Dynatrace

DECEMBER 16, 2022

But legacy, custom software can often prevent systems from working together, ultimately hindering growth. An open approach enables technologies to interoperate, whereas proprietary, legacy systems often create vendor lock-in and prevent interoperability and data integration. The platform approach vs. the best-of-breed approach.

Innovation 197

Innovation Software Software Cloud 197

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. In the Efficiency space, our data teams focus on transparency and optimization.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Technology systems are difficult to wrangle. Our systems grow in accidental complexity and complication over time. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. They are required to understand the full story of what happened in a system. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources. What’s next. So please stay tuned for updates. .

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

DECEMBER 21, 2022

Cloud modernization is the ongoing process of taking legacy applications and updating their features, architecture, or infrastructure to ensure they’re optimized for operating in cloud environments. . These include developers, site reliability engineers (SREs), and cloud architects. . But what is cloud modernization? .

Cloud 147

Cloud Architecture Strategy Scalability 147

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 229

AWS Lambda Artificial Intelligence Serverless 229

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

JUNE 7, 2023

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Ease of use.

Open Source 206

Open Source Social Media Infrastructure Operating System 206

Percona

DECEMBER 27, 2023

The field of Platform Engineering has witnessed significant advancements, as evidenced by the publication of the CNCF platform whitepaper and the introduction of a dedicated Platform Engineering day at the upcoming KubeCon event. They also remove toil and allow engineers to focus on application development vs platform engineering work.

Cloud 79

Cloud Open Source Strategy Best Practices 79