The Netflix TechBlog

MARCH 4, 2025

As a result, requests are uniformly handled, and responses are processed cohesively. This data is processed from a real-time impressions stream into a Kafka queue, which our title health system regularly polls. This centralized format, defined and maintained by our team, ensures all endpoints adhere to a consistent protocol.

Traffic 160

Traffic Strategy Entertainment Innovation 160

Dynatrace

MAY 21, 2024

Observability data presents executives with new opportunities to achieve this, by creating incremental value for cloud modernization , improved business analytics , and enhanced customer experience. With the latest advances from Dynatrace, this process is instantaneous. This is inefficient and creates avoidable risks.

Technology 275

Technology Technology Analytics Storage 275

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

FEBRUARY 13, 2023

We accomplish this by paving the path to: Accessing and processing media data (e.g. We accomplish this by paving the path to: Accessing and processing media data (e.g. We will then present a case study of using these components in order to optimize, scale, and solidify an existing pipeline.

Media 293

Media Storage Infrastructure Systems 293

Scalegrid

JULY 17, 2020

Note: If a particular key is always present in your document, it might make sense to store it as a first class column. JSON is faster to ingest vs. JSONB – however, if you do any further processing, JSONB will be faster. JSONB storage results in a larger storage footprint. whitespace) and ordering of the keys.

Storage 321

Storage Database Efficiency Availability 321

Dynatrace

OCTOBER 14, 2022

OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules. If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level. Host group. Try it out yourself.

Storage 278

Storage Government Network Infrastructure 278

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 245

Analytics Storage Retail DevOps 245

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Cloud storage monitoring. Cloud monitoring types and how they work.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

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.

Storage 276

Storage Architecture Tuning Efficiency 276

Dynatrace

OCTOBER 4, 2022

But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Each process could generate multiple log entries, adding up to terabytes of data every day. Traditionally, teams struggle to centralize all these data silos through the process of indexing.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

Dynatrace

DECEMBER 16, 2020

Track changes via our change management process. Every storage location involving data at rest is encrypted as well. The signatures are automatically verified during the update process on the customer infrastructure. The security controls presented above are audited on an annual basis by independent security assessors.

Software 289

Software Software Development AWS 289

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.) joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

OCTOBER 9, 2024

Our partner community plays a vital role in facilitating this transition by effectively communicating the benefits of SaaS and ensuring a seamless migration process. Dynatrace SaaS presents a lower total cost of ownership (TCO), enabling customers to consolidate various tools, thereby optimizing costs and enhancing internal user experiences.

Innovation 244

Innovation Hardware Storage Cloud 244

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. When a problem occurs, we put on our detective hats and start our mystery-solving process by gathering evidence. by Elizabeth Carretto Everyone loves Unsolved Mysteries.

Latency 297

Latency Transportation Engineering Traffic 297

Dynatrace

JUNE 9, 2023

Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data. What is DevOps maturity?

DevOps 246

DevOps Analytics Storage Metrics 246

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 248

Latency Storage Big Data Tuning 248

Dynatrace

JULY 25, 2022

Building on the success of DevOps practices, GitOps is a relatively new way to manage infrastructure through code and automation, around a single Git repository (or a storage system for all the changes and files that relate to a given project). These practices can be a boon to infrastructure management, but GitOps presents challenges.

DevOps 278

DevOps Infrastructure Speed Cloud 278

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. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 282

Traffic Metrics Systems Strategy 282

Dynatrace

AUGUST 21, 2024

This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. While it is powerful, it presents several challenges that affect its adoption. This blog post explores the Reliability metric , which measures modern operational practices. Why reliability?

Engineering 262

Engineering Systems Latency Metrics 262

Dynatrace

MAY 6, 2021

Contact Dynatrace ONE if you wish to enable Cluster-side screenshot storage on pre-1.216 fresh-installed Clusters. To better present default values, we changed the position of session replay permissions in group details page. . Consumption and storage now returned correctly when using Environment API with paging. APM-290353).

Operating System 246

Operating System AWS Metrics Storage 246

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.

Open Source 256

Open Source Software Engineering Internet Internet 256

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 246

Monitoring Serverless Programming Speed 246

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 246

Monitoring Serverless Programming Speed 246

The Netflix TechBlog

OCTOBER 8, 2024

However, storing and querying such data presents a unique set of challenges: High Throughput : Managing up to 10 million writes per second while maintaining high availability. Storage Layer The storage layer for TimeSeries comprises a primary data store and an optional index data store. Note : With Cassandra 4.x

Latency 235

Latency Storage Traffic Infrastructure 235

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. A platform approach, on the other hand, presents a more effective option for understanding observability as a whole. In this case, the best option may be to stop the process and execute it when system load is low.

Artificial Intelligence 245

Artificial Intelligence Metrics Architecture DevOps 245

Dynatrace

JANUARY 16, 2023

The immense growth of Kubernetes presents new security challenges in runtime and increased complexity in hardening CI/CD pipelines in development. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

AUGUST 21, 2023

” But, he continues, ” Today’s environments present a completely different picture. They need to automate manual tasks, streamline processes, and invest in new technologies. And according to 451 Research, 83% of organizations plan to adapt their monitoring process. during 2021–2026.

Analytics 223

Analytics Innovation Infrastructure Scalability 223

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. Processing logs is now streamlined, enabling customers to enrich log metadata with insightful context that is important for delivering pipelines to single Firehose delivery streams.

Traffic 246

Traffic AWS Network Cloud 246

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. A feature that enables you to present log data in a filterable table that is easy to work with. Why Dynatrace?

AWS 246

AWS Transportation Network Traffic 246

Dynatrace

FEBRUARY 14, 2022

Among these, you can find essential elements of application and infrastructure stacks, from app gateways (like HAProxy), through app fabric (like RabbitMQ), to databases (like MongoDB) and storage systems (like NetApp, Consul, Memcached, and InfluxDB, just to name a few). Customizable dashboard. Specialized Unified Analysis page.

Technology 246

Technology Technology Metrics Infrastructure 246

Dynatrace

FEBRUARY 12, 2024

Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. Davis enables users to go deeper into the details of the underlying processes running on a particular host. An overview of the Dynatrace unified observability and security platform. This is Davis CoPilot.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

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.

AWS 246

AWS Strategy Storage Metrics 246

Dynatrace

OCTOBER 2, 2024

Logs are presented in the context of the applications that generate them, with the capability to run queries and open queried log entries directly in the Logs app. Even more importantly, how was the error handled, and did the process end successfully for the customer?

Azure 244

Azure DevOps Infrastructure Cloud 244

Adrian Cockcroft

JANUARY 27, 2025

I wonder if any of my code is still present in todays Netflixapps?) At some point a storage cupboard was taken over with a combination lock on the door, no-one was allow to ask or discuss what was going on, as Apple insisted on absolute secrecy. It worked really well as a stress test, and the launch had noissues.

C++ 88

C++ Mobile Hardware Java 88

VoltDB

DECEMBER 11, 2024

Edge computing has transformed how businesses and industries process and manage data. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. Key issues include: Limited storage capacity on edge devices.

IoT 52

IoT Energy Logistics Latency 52