Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

APRIL 27, 2023

While Atlas is architected around compute & storage separation, and we could theoretically just scale the query layer to meet the increased query demand, every query, regardless of its type, has a data component that needs to be pushed down to the storage layer.

Storage 300

Storage Cache Metrics Database 300

The Netflix TechBlog

OCTOBER 27, 2020

For example, in order to enhance our user experience, one online application fetches subscribers’ preferences data to recommend movies and TV shows. The data warehouse is not designed to serve point requests from microservices with low latency. Let’s look at an example of a Bulldozer YAML configuration (Figure 3).

Latency 254

Latency Storage Big Data Tuning 254

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 253

Latency Cache Infrastructure Strategy 253

The Netflix TechBlog

MAY 4, 2023

It provides a good read on the availability and latency ranges under different production conditions. The upstream service calls the existing and new replacement services concurrently to minimize any latency increase on the production path. For example, if some fields in the responses are timestamps, those will differ.

Traffic 349

Traffic Latency Tuning Systems 349

The Netflix TechBlog

SEPTEMBER 2, 2020

Example call graph in Edgar In some cases, the question we’re answering is, “What’s happening right now??” This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics).

Latency 299

Latency Transportation Engineering Traffic 299

Dynatrace

JUNE 25, 2020

For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. The network latency between cluster nodes should be around 10 ms or less. Regular Dynatrace Managed deployments can work seamlessly when a maximum of two nodes are down at a time and the network has low latency.

Availability 256

Availability Hardware Latency Traffic 256

The Netflix TechBlog

NOVEMBER 3, 2022

When a new leader is elected it loads all data from external storage. For example, it is OK to send writes through one instance, and do reads from another one with full data read consistency guarantees. For example, a batch workflow orchestration system may create multiple jobs which are part of a single workflow execution.

Cache 235

Cache Latency Traffic Systems 235

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. Storage: don’t break the bank!

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

Dynatrace

DECEMBER 13, 2023

From the customer perspective, mobile devices have become the singular touchpoint between businesses and users, for example, the new storefront, office, and customer support line. 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.

Best Practices 211

Best Practices Mobile Metrics Performance 211

All Things Distributed

JANUARY 23, 2012

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?? With the launch of the AWS Storage Gateway our customers can now integrate their on-premises IT environment with AWSâ??s

Storage 96

Storage AWS Virtualization Cloud 96

The Netflix TechBlog

MARCH 7, 2023

Goals Annotation Operations Lets pick an example use case of identifying objects (like trees, cars etc.) There are many naive solutions possible for this problem for example: Write different runs in different databases. But we cannot search or present low latency retrievals from files Etc. in a video file.

Media 275

Media Latency Architecture Database 275

The Netflix TechBlog

SEPTEMBER 10, 2024

Dynomite is a Netflix open source wrapper around Redis that provides a few additional features like auto-sharding and cross-region replication, and it provided Pushy with low latency and easy record expiry, both of which are critical for Pushy’s workload. As Pushy’s portfolio grew, we experienced some pain points with Dynomite.

Latency 233

Latency Cache Tuning Efficiency 233

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. Automated root-cause analysis and real-time risk analysis are only two examples that help executives get closer to the vision of self-healing operations and security.

Technology 212

Technology Technology Analytics Storage 212

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " SoCC’19. "Narrowing Shredder’s implementation is built on top of Seastar.

Serverless 99

Serverless Storage Latency Cloud 99

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. See details below. See details below.

Storage 153

Storage Latency Operating System Network 153

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 259

AWS Efficiency Azure Cloud 259

Dynatrace

OCTOBER 2, 2024

There is no need to think about schema and indexes, re-hydration, or hot/cold storage. OpenPipeline’s high-performance filtering and preprocessing provide full ingest and storage control for the Dynatrace platform. Keep in mind that Dynatrace Grail is schema-on-read and indexless, built with scaling in mind.

Analytics 248

Analytics AWS DevOps Cloud 248

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

The Netflix TechBlog

MAY 5, 2021

Here is an example of globally distributed production where several artists and workflows work in conjunction to create and share assets for one or many projects. Here is an example of a typical bootstrap manifest file. These artists may want to create personal workspaces and work on generating intermediate assets.

Media 184

Media Storage Architecture Cloud 184

Dynatrace

AUGUST 21, 2024

These releases often assumed ideal conditions such as zero latency, infinite bandwidth, and no network loss, as highlighted in Peter Deutsch’s eight fallacies of distributed systems. With Dynatrace, teams can seamlessly monitor the entire system, including network switches, database storage, and third-party dependencies.

Engineering 203

Engineering Systems Latency Metrics 203

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? Some examples: Why is title X not showing on the Coming Soon row for a particular member?

Traffic 174

Traffic Scalability Strategy Monitoring 174

Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Five example SLOs for faster, more reliable apps 1. Note : you might hear the term latency used instead of response time.

Latency 189

Latency Website Traffic Virtualization 189

The Netflix TechBlog

APRIL 26, 2022

An example of data about members is the video they had watched or added to their My List. An example of video data is video metadata, like the length of a video. The first version of our logger library optimized for storage by deduplicating facts and optimized for network i/o using different compression methods for each fact.

Storage 197

Storage Design Scalability Latency 197

Highly Scalable

SEPTEMBER 18, 2012

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. Read/Write latency. Read/Write requests are processes with a minimal latency. This approach is used for example in Cassandra.

Database 213

Database Latency C++ Scalability 213

Dynatrace

AUGUST 20, 2024

Common business analytics incur too much latency. This order fulfillment process is just one example of many. The following are five examples of many: Order to cash processes to ensure timely order processing and revenue recognition. There can even be days of reporting intervals, which hinders real-time business insights.

Analytics 219

Analytics Latency Processing Systems 219

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. The talk also includes examples of using these tools in the Amazon Elastic Compute Cloud (Amazon EC2) cloud. Thursday?—?December

AWS 38

AWS Entertainment Open Source Benchmarking 38

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. s read latency, particularly as dataset sizes grow. The growth of Amazonâ??s

Scalability 164

Scalability Database Ecommerce Latency 164

The Netflix TechBlog

FEBRUARY 9, 2021

Server-generated assets, since client-side generation would require the retrieval of many individual images, which would increase latency and time-to-render. To reduce latency, assets should be generated in an offline fashion and not in real time. This requires an asset storage solution. We call these adaptive fields.

Engineering 174

Engineering Storage Latency Entertainment 174

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. For example, teams can use centralized observability data to improve incident response times, increase automation, and inform critical business decisions. The case for an integrated observability platform.

Artificial Intelligence 190

Artificial Intelligence Metrics Architecture DevOps 190

The Netflix TechBlog

JUNE 13, 2023

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. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 287

Traffic Metrics Systems Strategy 287

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). Endpoint monitoring (EM). Endpoints can be physical (i.e., PC, smartphone, server) or virtual (virtual machines, cloud gateways).

Monitoring 216

Monitoring Social Media IoT Metrics 216

All Things Distributed

JUNE 21, 2018

Airbnb is a great example of a customer building high-performance and scalable applications with Amazon Aurora. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. Take Expedia, for example.

Database 167

Database AWS Games Latency 167

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 122

Database Logistics Availability Social Media 122

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 115

Storage Network Open Source Latency 115

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Simple Storage Service (S3). You can observe the metrics across service instances split by region (in this example, API Gateways in us-east-1 and us-east-2 ). Dynatrace news.

AWS 138

AWS Metrics IoT Storage 138

The Netflix TechBlog

NOVEMBER 2, 2021

For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc.,

Media 180

Media Innovation Metrics Latency 180