The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

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Latency Storage Traffic Tuning 242

The Netflix TechBlog

NOVEMBER 12, 2024

Today, we’re excited to present the Distributed Counter Abstraction. In this context, they refer to a count very close to accurate, presented with minimal delays. After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods.

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Latency Cache Infrastructure Strategy 253

Dynatrace

OCTOBER 4, 2022

But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. In most data storage models, indexing engines enable faster access to query logs. But indexing requires schema management and additional storage to be effective, which adds cost and overhead.

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Analytics Storage Infrastructure Metrics 234

Dynatrace

NOVEMBER 18, 2024

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale.

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Cloud Azure Artificial Intelligence Innovation 210

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. Sample latency analysis Edgar should reduce burden, not add to it Presenting all of this data in one interface reduces the footwork of an engineer to uncover each source.

Latency 299

Latency Transportation Engineering Traffic 299

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) But the ephemeral storage service for intermediate data is not based on S3.

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Storage Engineering Cache Serverless 112

Dynatrace

JULY 29, 2022

At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions. Cold storage and rehydration. Cold storage and rehydration. Data that organizations may need to access only once a quarter or year can reside in cold storage.

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The Netflix TechBlog

OCTOBER 27, 2020

Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. For how our machine learning recommendation systems leverage our key-value stores, please see more details on this presentation. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 254

Latency Storage Big Data Tuning 254

Dynatrace

SEPTEMBER 28, 2020

I wanted to present as much information as possible. Before we dive into the technical implementation, let me explain the visual concept of this “Global Status Page”: Another requirement for this status page was that it has to be lightweight, with no data storage at all. Real-time problem visualization of lots of environments.

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Storage Architecture Tuning Efficiency 217

The Netflix TechBlog

DECEMBER 17, 2024

This led to a suite of fragmented scripts, runbooks, and ad hoc solutions scattered across teamsan approach that was neither sustainable nor efficient. They allow us to verify whether titles are presented as intended and investigate any discrepancies. The stakes are even higher when ensuring every title launches flawlessly.

Traffic 174

Traffic Scalability Strategy Monitoring 174

Dynatrace

DECEMBER 12, 2024

For executives, these directives present several challenges, including compliance complexity, resource allocation for continuous monitoring, and incident reporting. In dynamic and distributed cloud environments, the process of identifying incidents and understanding the material impact is beyond human ability to manage efficiently.

Analytics 214

Analytics Government Efficiency Innovation 214

Dynatrace

OCTOBER 14, 2022

If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level. This allows you to create flexible and powerful log storage configurations on any level by utilizing the unique autodiscovery capabilities of Dynatrace OneAgent or a custom setup. Host group.

Storage 240

Storage Government Network Monitoring 240

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. These practices can be a boon to infrastructure management, but GitOps presents challenges.

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DevOps Infrastructure Speed Cloud 238

Dynatrace

JULY 29, 2022

At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions. Cold storage and rehydration. Cold storage and rehydration. Data that organizations may need to access only once a quarter or year can reside in cold storage.

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Analytics Storage Retail Monitoring 193

The Netflix TechBlog

NOVEMBER 29, 2023

We present two sets. On the other hand, the optimized ladder presents a sharper increase in quality with increasing bitrate. In spite of reaching higher qualities than the fixed ladder, the HDR-DO ladder, on average, occupies only 58% of the storage space compared to fixed-bitrate ladder. The first set (Fig.

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Open Source Software Engineering Internet Internet 262

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications.

Cloud 233

Cloud Monitoring Best Practices Infrastructure 233

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs. We second that.

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AWS Strategy Storage Metrics 224

The Netflix TechBlog

AUGUST 28, 2020

In this blog post, we present benefits of applying the above-mentioned optimizations to standard dynamic range (SDR) 10-bit and 4K streams (some titles are also HFR). Mbps, is for a 4K animation title episode which can be very efficiently encoded. The 8-bit stream profiles go up to 1080p resolution.

Network 338

Network Storage Innovation Mobile 338

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. It should be noted that not all of the techniques presented are universally applicable, as each migration presents its own unique set of circumstances.

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Traffic Metrics Systems Strategy 287

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Automate cloud operations and trigger remediation workflow to enhance efficiency. What is AWS Transit Gateway?

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AWS Transportation Network Traffic 229

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Log Viewer enables users to present log data in a filterable, easy-to-use table and to browse log data within a certain time frame using detected aspects of the log content.

Traffic 227

Traffic AWS Network Cloud 227

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Challenges of Multi-Cloud Although multi-cloud has its benefits, it also presents some obstacles.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Percona

FEBRUARY 15, 2023

A bloom filter is a space-efficient way of storing information about a list of keys. If all the bits are “1”, the value may be present. LSM storage engines like MyRocks are very different from the more common B-Tree-based storage engines like InnoDB. At its base, there is a bitmap and a hash function.

Storage 132

Storage Tuning Cache Engineering 132

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This opens up possibilities not only difficult but almost impossible to attain conventionally!

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Cloud Virtualization Storage Efficiency 130

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. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security.

AWS 38

AWS Entertainment Open Source Benchmarking 38

Dynatrace

FEBRUARY 12, 2024

Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. The hypermodal AI engine shows what’s happening in a system down to the data coming in, while presenting the information in context. “It’s

Analytics 193

Analytics Artificial Intelligence Engineering Technology 193

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. For all its virtues, message queuing presents some challenges from an observability perspective.

Monitoring 213

Monitoring Programming Serverless Speed 213

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. For all its virtues, message queuing presents some challenges from an observability perspective.

Monitoring 212

Monitoring Programming Serverless Speed 212

The Netflix TechBlog

SEPTEMBER 10, 2024

Since that presentation, Pushy has grown in both size and scope, and this article will be discussing the investments we’ve made to evolve Pushy for the next generation of features. With these clear benefits, we continued to build out this functionality for more devices, enabling the same efficiency wins.

Latency 233

Latency Cache Tuning Efficiency 233

Dynatrace

AUGUST 28, 2020

Azure Data Lake Storage Gen1. The other perspective that’s presented on the Azure Automation dashboard is the state of your deployment runs. Azure Data Factory is a hybrid data integration service that enables you to quickly and efficiently create automated data pipelines—without writing any code. Azure Logic Apps.

Azure 162

Azure Cloud Tuning Monitoring 162

All Things Distributed

JANUARY 18, 2012

Each service encapsulates its own data and presents a hardened API for others to use. 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. The growth of Amazonâ??s Domain scaling limitations. SimpleDBâ??s

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Scalability Database Ecommerce Latency 164

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. When this data block is read, it decompresses it in memory and presents it to the incoming request.

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Storage Network Open Source Latency 115

Scalegrid

MARCH 14, 2024

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. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs. We second that.

AWS 147

AWS Strategy Storage Metrics 147

Scalegrid

DECEMBER 28, 2023

How to Implement Pagination in MongoDB® Big datasets require efficient data retrieval and processing for effective management. into manageable portions to avoid potential discrepancies related to the enormous amounts of data present. Offset-Based Pagination Offset-based pagination is an efficient technique to implement within MongoDB.

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Best Practices Efficiency Strategy Speed 130

Dynatrace

FEBRUARY 15, 2023

Further, it presents data in intuitive, user-friendly ways to enable data gathering, analysis, and collaboration among far-flung teams. Why teams struggle with the volume and variety of cloud data Modern cloud-native environments can present compound problems that often hamper teams across the organization in meeting business objectives.

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Analytics Storage Cloud DevOps 130

Dynatrace

AUGUST 21, 2023

” But, he continues, ” Today’s environments present a completely different picture. By doing so, they can improve efficiency, reduce costs, and deliver better customer experiences. To stay ahead of the curve, organizations should focus on strategic, proactive innovation and optimization.

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Analytics Innovation Infrastructure Scalability 150