The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

FEBRUARY 21, 2024

They help foster confidence and consistency throughout the entire software development lifecycle (SDLC). The following are specific examples that demonstrate quality gates in action: Security gates Security gates ensure code meets key security requirements defined by development and security stakeholders.

Speed 200

Speed Software Software Latency 200

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

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 240

AWS Efficiency Azure Cloud 240

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. If system failures occur, teams must resolve them quickly and resolutely. Risk in banking is broad and interconnected. Automated issue resolution.

Analytics 193

Analytics Infrastructure Efficiency Technology 193

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Dynatrace provides end-to-end observability of AI applications As AI systems grow in complexity, a holistic approach to the observability of AI-powered applications becomes even more crucial.

Cache 199

Cache Azure Infrastructure Monitoring 199

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Despite its advantages, Redis’s versatility can introduce complexities, potentially challenging developers familiar with simpler solutions such as Memcached.

Cache 130

Cache Storage Scalability Architecture 130

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

JUNE 1, 2023

Five SLO examples for faster, more reliable apps Once you get started with these service-level objective examples, you can branch out to develop more targeted SLOs suited for your business. It represents the percentage of time a system or service is expected to be accessible and functioning correctly. or above for the checkout process.

Traffic 173

Traffic Latency Website Virtualization 173

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 249

Engineering DevOps Government Latency 249

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The first generation of this system went live with the streaming launch in 2007. Productivity?—?Local Delivery?—?A

Serverless 228

Serverless Media Latency Social Media 228

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 213

DevOps Traffic Efficiency Servers 213

The Netflix TechBlog

SEPTEMBER 24, 2021

Lastly, the packager kicks in, adding a system layer to the asset, making it ready to be consumed by the clients. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. For write operations, those challenges do not apply.

Cloud 237

Cloud Media Storage Cache 237

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

High Scalability

FEBRUARY 19, 2021

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. Fault tolerance The ability of a system to continue to be dependable (both available and reliable) in the presence of certain component or subsystem failures.

Engineering 215

Engineering Systems Scalability Availability 215

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 170

Engineering DevOps Government Latency 170

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. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. So, what is ITOps?

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. As The New Stack reports, developers spend only 32% of their time at work actually coding.

Lambda 175

Lambda AWS Serverless Hardware 175

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. The more complex a system, the more places to look for clues. In an earlier blog post, we discussed Telltale , our health monitoring system. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296

Scalegrid

MARCH 22, 2024

Deploying a multi-cloud environment involves a concerted effort in planning, negotiation with vendors, skill development, and understanding the advanced use cases of a multi-cloud approach for tailored industry solutions and compliance. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 200

Serverless Lambda Azure AWS 200

The Netflix TechBlog

OCTOBER 27, 2020

The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

JANUARY 18, 2023

DevOps and SRE: Methodologies that are transforming software development with the help of DevOps observability. DevOps is a software delivery methodology that comprises flexible practices and processes to create and deliver applications and services, ultimately closing the gap between software development and IT operations.

DevOps 190

DevOps Best Practices Innovation Strategy 190

The Netflix TechBlog

DECEMBER 21, 2020

There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Use cases We found several use cases where a system like AutoOptimize can bring tons of value.

Storage 203

Storage Latency Efficiency Data Engineering 203

Scalegrid

DECEMBER 14, 2023

The implication resulting from exceeding the Server Selection Timeout limit can prove damaging for MongoDB’s efficiency, leading to a selection error which is about time-out exceeding the allowed limits. connecting timeout times) is important for recognizing any error-related behaviors before their development.

Java 130

Java Network Servers Database 130

Scalegrid

OCTOBER 17, 2019

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. On modern Linux systems, the difference in overhead between forking a process and creating a thread is much lesser than it used to be. It would be a shame if your database crashed, after all.

Architecture 200

Architecture Database Latency Servers 200

Sutter's Mill

FEBRUARY 13, 2017

Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.” If you’re interested in attending, please check out the links, and I look forward to meeting and re-meeting many of you there.

Latency 51

Latency C++ Hardware Performance 51

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

The Netflix TechBlog

NOVEMBER 2, 2021

The coupling problem Until recently, video quality measurements were generated as part of our Reloaded production system. This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service. We call this system Cosmos. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

High Scalability

SEPTEMBER 8, 2018

Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. The issue is that Anna is now orders of magnitude more efficient than competing systems, in addition to being orders of magnitude faster. What's changed ?

Storage 199

Storage Performance AWS Efficiency 199

Dynatrace

OCTOBER 4, 2021

API monitoring captures and analyzes metrics that describe the vital aspects of an application’s performance, which can help developers gain a deeper understanding of the health and efficiency of the APIs they’re utilizing. For example, some developers may be using an old version of an API that will soon be deprecated.

Monitoring 171

Monitoring Latency Metrics Availability 171

Dynatrace

JANUARY 13, 2022

Synthetic monitoring is also useful for developing baselines of performance. Analyzing a clinician’s clickstream when using an electronic medical record system to better improve the efficiency of data entry. Providing insight into the service latency to help developers identify poorly performing code.

Monitoring 173

Monitoring Latency Mobile Best Practices 173