The Netflix TechBlog

SEPTEMBER 10, 2024

Sample system diagram for an Alexa voice command. The other main use case was RENO, the Rapid Event Notification System mentioned above. Rewriting always comes with a risk, and it’s never the first solution we reach for, particularly when working with a system that’s in place and working well.

Latency 228

Latency Cache Tuning Efficiency 228

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 250

Latency Storage Strategy Metrics 250

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 344

Traffic Latency Tuning Systems 344

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 227

Efficiency Virtualization Hardware Performance 227

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. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.

Cloud 240

Cloud Media Storage Cache 240

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. After that, the post gets added to the feed of all the followers in the columnar data storage. Fetching User Feed. Optimization.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. cell): Titus Job Coordinator is a leader elected process managing the active state of the system. When a new leader is elected it loads all data from external storage.

Cache 229

Cache Latency Traffic Systems 229

VoltDB

NOVEMBER 20, 2024

This proximity reduces latency and enables real-time decision-making. This shift will enable more autonomous and dynamic systems, reducing human intervention and enhancing efficiency. IIoT systems can use edge devices to ensure that sensitive operational data remains secure on-premises, thereby protecting critical infrastructure.

IoT 52

IoT Energy Latency Automotive 52

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! In other words, false positives are bad but false negatives are the absolute worst!

Storage 294

Storage Cache Metrics Database 294

Dynatrace

DECEMBER 13, 2023

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. User demographics , such as app version, operating system, location, and device type, can help tailor an app to better meet users’ needs and preferences. Performance optimization.

Best Practices 211

Best Practices Mobile Metrics Performance 211

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19.

Storage 64

Storage Systems Hardware Efficiency 64

Dynatrace

MAY 21, 2024

That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency. Insights are therefore dispersed in a multitude of data lakes, storage systems, and reporting platforms. Moreover, it is fast, powered by its massively parallel processing data lakehouse.

Technology 212

Technology Technology Analytics Storage 212

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

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. AI performs frequent data transfers.

Strategy 234

Strategy Artificial Intelligence Storage Cloud 234

Dynatrace

NOVEMBER 9, 2023

Performance monitoring Dynatrace can collect performance metrics from Nutanix clusters, including latency, IOPS (Input/Output Operations Per Second), and network throughput. Storage container metrics Track the usage and performance of storage containers to optimize resource allocation.

Virtualization 206

Virtualization Storage Metrics Monitoring 206

Dynatrace

OCTOBER 3, 2024

Without distributed tracing, pinpointing the cause of increased latency could take hours or even days. There is no need to think about schema and indexes, re-hydration, or hot/cold storage. Interact with data intuitively and easily and benefit from immediate, AI-supported insights. The same is true when it comes to log ingestion.

Performance 259

Performance Architecture Innovation Latency 259

Dynatrace

AUGUST 20, 2024

Have you already thought about how you could use the data derived from your digital systems to accelerate your business and improve your ability to make decisions with real-time insights? Common business analytics incur too much latency. There can even be days of reporting intervals, which hinders real-time business insights.

Analytics 220

Analytics Latency Processing Systems 220

Dynatrace

SEPTEMBER 23, 2020

Operating Systems are not always set up in the same way. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Starting with OneAgent version 1.199, the runtime folder is configurable and consequently you can retain your storage mount point setup as-is.

Storage 153

Storage Latency Operating System Network 153

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. But what happens when this machinery needs a transformation?

Traffic 282

Traffic Metrics Systems Strategy 282

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 236

Infrastructure Transportation Storage Open Source 236

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. High data availability is achieved.

Cache 130

Cache Storage Architecture Scalability 130

Dynatrace

JUNE 1, 2023

It represents the percentage of time a system or service is expected to be accessible and functioning correctly. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. Note : you might hear the term latency used instead of response time.

Latency 189

Latency Website Traffic Virtualization 189

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 249

Latency Storage Big Data Tuning 249

Dynatrace

JUNE 1, 2023

It represents the percentage of time a system or service is expected to be accessible and functioning correctly. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. Note : you might hear the term latency used instead of response time.

Traffic 173

Traffic Website Latency Virtualization 173

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 298

Latency Transportation Engineering Traffic 298

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. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 260

AWS Efficiency Azure Cloud 260

The Netflix TechBlog

MAY 5, 2021

Netflix Drive relies on a data store that will be the persistent storage layer for assets, and a metadata store which will provide a relevant mapping from the file system hierarchy to the data store entities. 2 , are the file system interface, the API interface, and the metadata and data stores.

Media 179

Media Storage Architecture Cloud 179

Randon ASCII

SEPTEMBER 8, 2019

The fact that this shows up as CPU time suggests that the reads were all hitting in the system cache and the CPU time was the kernel overhead (note ntoskrnl.exe on the first sampled call stack) of grabbing data from the cache. Now that we suspect file I/O it’s necessary to go to Graph Explorer-> Storage-> File I/O.

Latency 79

Latency Cache Programming Operating System 79

Dynatrace

APRIL 8, 2024

If system failures occur, teams must resolve them quickly and resolutely. Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Automated issue resolution. Break down data silos.

Analytics 214

Analytics Infrastructure Efficiency Technology 214

High Scalability

SEPTEMBER 8, 2018

The issue is that Anna is now orders of magnitude more efficient than competing systems, in addition to being orders of magnitude faster. The core component in Anna v11 is a monitoring system & policy engine that together enable workload-responsiveness and adaptability.

Storage 199

Storage Performance AWS Media 199

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 216

Artificial Intelligence DevOps Hardware Virtualization 216

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? s storage infrastructure. Comments ().

Storage 108

Storage AWS Virtualization Cloud 108

The Netflix TechBlog

MARCH 7, 2023

But we cannot search or present low latency retrievals from files Etc. We do that by excluding the following from all queries in our system. Using memcache allows us to keep latencies for our search low (most of our queries are less than 100ms). This is obviously very expensive. Write algo runs into files.

Media 269

Media Latency Architecture Database 269

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. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

DECEMBER 22, 2021

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

Artificial Intelligence 190

Artificial Intelligence Metrics Architecture DevOps 190

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. I won’t cover all the features but show just enough that you’ll want to see more of what you can learn to accomplish for yourself.

Database 109

Database Benchmarking Latency C++ 109