The Netflix TechBlog

OCTOBER 18, 2022

Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits.

Java 208

Java Scalability Traffic Architecture 208

Alex Podelko

DECEMBER 19, 2019

So you need to understand what is going on there – and Debbie is definitely an authority in that area. Computing System Congestion Management Using Exponential Smoothing Forecasting by James Brady, State of Nevada. – System performance management is an important topic – and James is going to share a practical method for it. .

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

High Scalability

FEBRUARY 19, 2021

As a basis for that discussion, first some definitions: Dependability The degree to which a product or service can be relied upon. This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its users expect. Availability and Reliability are forms of dependability.

Engineering 215

Engineering Systems Scalability Availability 215

Dynatrace

NOVEMBER 10, 2021

In a recent FedScoop panel Brett Vaughn, Navy Chief AI Officer, and Willie Hicks, Federal CTO for Dynatrace discuss this up-and-coming technology including: Their definition of AI. How to adopt AI quickly and efficiently to keep up in the “AI arms race”. How AI is used in the Navy. How do you define AI?

Artificial Intelligence 216

Artificial Intelligence Government Analytics Technology 216

The Netflix TechBlog

AUGUST 1, 2022

This article gives an overview of the system. Data Mesh Overview A New Definition Of Data Mesh Previously, we defined Data Mesh as a fully managed, streaming data pipeline product used for enabling Change Data Capture (CDC) use cases. As of now, we still have several specialized internal systems serving their own use cases.

Processing 273

Processing Transportation Entertainment Tuning 273

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 282

Traffic Metrics Systems Strategy 282

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 214

Tuning Efficiency Big Data Engineering 214

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, All these definitions are distinct and important. Containment: Implements actions to safeguard affected systems, resolves incidents quickly and escalates an event to other teams when necessary. This does not include lag time in the alert system.

DevOps 219

DevOps Artificial Intelligence Metrics Network 219

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. For example, the gaming app has to present definite actions to bring the right experience. Confirming scalability, dependability, stability, and speed of the app is crucial.

Performance Testing 230

Performance Testing Testing Tools Testing Performance 230

DZone

JULY 11, 2023

Artificial Intelligence: Definition and Practical Applications Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence.

Artificial Intelligence 113

Artificial Intelligence Healthcare Transportation Network 113

Dynatrace

MAY 6, 2024

This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. Context-rich tickets can be created in systems like Jira or ServiceNow for traceability and compliance. Executing corrective actions. Keeping relevant stakeholders in the loop.

DevOps 295

DevOps Software Engineering Games Java 295

Dynatrace

NOVEMBER 14, 2023

The panelists speculated that AI will likely improve quality of life for SRE teams through its ability to efficiently execute tasks. We’ll see lots of different types of impact versus one definitive impact [from generative AI],” she said. This accessibility results in reduced MTTR and improved productivity.

Best Practices 205

Best Practices Engineering DevOps Software Engineering 205

Dynatrace

NOVEMBER 2, 2020

If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more. What is infrastructure monitoring? .

Infrastructure 214

Infrastructure Monitoring Virtualization Serverless 214

The Netflix TechBlog

JANUARY 10, 2024

Since then, the video pipeline has undergone substantial improvements and broad expansions: Starting with Standard Dynamic Range (SDR) at Standard-Definitions , we expanded the encoding pipeline to 4K and High Dynamic Range (HDR) which enabled support for our premium offering. This introductory blog focuses on an overview of our journey.

Processing 234

Processing Media Latency Innovation 234

Dynatrace

FEBRUARY 15, 2023

As cloud environments become increasingly ubiquitous, so does the need for effective and efficient management. Lack of standardization: The lack of standardization across tools and technologies makes it difficult to handle automation decisions and actions across different systems.

Cloud 185

Cloud DevOps Code Open Source 185

Scalegrid

APRIL 5, 2024

This method involves splitting data over various nodes to improve the database’s efficiency. Similar to how each lane on the highway handles certain vehicles for more efficient travel, in Redis sharding, different nodes manage various pieces of data through consistent hashing. Visualize it as a relay race.

Scalability 130

Scalability Java Efficiency Database 130

DZone

FEBRUARY 27, 2021

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability.

Java 214

Java C++ Benchmarking Programming 214

The Netflix TechBlog

JULY 30, 2019

Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix. The Netflix Media Database (NMDB) is one such example.

Lambda 191

Lambda Media Open Source Metrics 191

Dynatrace

SEPTEMBER 28, 2021

As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. Deployment frequency measures both long-term and short-term efficiency. Mean time to restore service.

DevOps 214

DevOps Metrics Traffic Efficiency 214

Dynatrace

MARCH 27, 2024

How to efficiently introduce team ownerships Dynatrace provides different ways of associating team ownership with entities and adding desired team metadata, such as contact details, to your environments. Import teams It is necessary to get ownership team information into the system and keep it updated.

Best Practices 212

Best Practices Azure Database Code 212

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This starts with a highly efficient ingestion pipeline that supports adding hundreds of petabytes daily. Thus, it can scale massively.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. Genesis Data Source and Input definition example Genesis is a stateless CLI written in Node.js

Big Data 256

Big Data Government Processing Analytics 256

Dynatrace

DECEMBER 6, 2022

Observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. Comprehensive observability eliminates siloed views of the system and establishes a common means to observe, measure, and act on insights. Want to learn more?

DevOps 230

DevOps Metrics Engineering Speed 230

Dynatrace

JUNE 6, 2023

From the foundational Dynatrace platform to today, “We’ve gone from systems thinking to holistic thinking.” One of the main roadblocks that arises with a broader definition for DevOps is responsibility. The product manager should be the person who is bringing operational requirements and acceptance criteria in the system,” he said.

DevOps 171

DevOps Engineering Innovation Best Practices 171

Abhishek Tiwari

SEPTEMBER 18, 2024

A mathematical guarantee is a formal, provable assurance about the behavior, performance, or properties of a system, algorithm, or process, derived from rigorous mathematical analysis or proof. It provides a definitive statement about what can be expected under specified conditions.

Systems 52

Systems Efficiency Processing Scalability 52

Randon ASCII

OCTOBER 1, 2023

In a steady-state process (not allocating excessively) on a system with sufficient memory (this system had 64 GiB of RAM and roughly 47 GiB of that was available) the number of page faults should be close to zero, and this was a long way from that. Every second the system process wakes up and runs KeBalanceSetManager.

Processing 98

Processing Efficiency Programming Systems 98

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can push or pull.

Infrastructure 223

Infrastructure Big Data Transportation Architecture 223

Dynatrace

JUNE 14, 2023

“The historical definition of observability is transforming,” Clayton said. This digital transformation journey requires AI-powered answers and intelligent automation that legacy systems can’t deliver. 2023: The “Year of the Partner” The event started strong with some words from Ken Clayton, SVP, Channels, Dynatrace.

Programming 193

Programming Best Practices Innovation Analytics 193

The Morning Paper

JULY 2, 2019

One SQL to rule them all: an efficient and syntactically idiomatic approach to management of streams and tables Begoli et al., The TVR, by definition, supports the entire suite of relational operators, even in scenarios involving time-varying relational data. The watermark is maintained by the system. SIGMOD’19.

Efficiency 65

Efficiency Processing Benchmarking Open Source 65

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 209

Storage Latency Efficiency Data Engineering 209

Dynatrace

AUGUST 7, 2023

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. But managing the breadth of the vulnerabilities that can put your systems at risk is challenging. By definition, zero-day attacks take organizations by surprise.

DevOps 198

DevOps Analytics Best Practices Java 198

High Scalability

OCTOBER 24, 2022

Each cloud-native evolution is about using the hardware more efficiently. Anyone can rent a rack in a colo and stand up a system. Of course not, but let's ignore that very few organizations in the world have the technological know-how to create such managed services, especially without low level control of the entire system.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. Because of its adaptability, Prometheus has become an essential tool for observability engineering.

Metrics 190

Metrics Engineering Energy Tuning 190

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Powerful change streams and support for data definition language operations. Ready to supercharge your MongoDB experience? x: Live resharding of databases for uninterrupted sharded key changes.

Best Practices 92

Best Practices Hardware Tuning Scalability 92

Sutter's Mill

MARCH 11, 2024

We must make our software infrastructure more secure against the rise in cyberattacks (such as on power grids, hospitals, and banks), and safer against accidental failures with the increased use of software in life-critical systems (such as autonomous vehicles and autonomous weapons). Then I can still use fully modern C++… just nicer.

C++ 141

C++ Programming Code Java 141

Percona

JULY 25, 2023

So, given a table_id, how do you get the table schema/definition? After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. 28, xtrabackup –prepare is faster and memory efficient with the dictionary cache.

Cache 89

Cache Servers Benchmarking Design 89

Dynatrace

AUGUST 2, 2022

Malicious attackers have gotten increasingly adept at identifying vulnerabilities and launching attacks to exploit these weak points in IT systems. But they also need a better strategy to address these attacks if they have IT systems and live applications that are already compromised.

DevOps 130

DevOps Strategy Open Source Java 130