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 339

Traffic Latency Tuning Systems 339

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. In late 2021, for example, digital forensics was central to combating the Log4Shell vulnerability. Cold storage and rehydration. Cold storage and rehydration.

Analytics 211

Analytics Storage Retail Monitoring 211

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. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 243

AWS Efficiency Azure Cloud 243

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

OCTOBER 14, 2022

Achieving this from a typical enterprise’s various apps, systems, and configurations is the beginning of the observability journey and, therefore, critical to get right. If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level.

Storage 223

Storage Government Network Infrastructure 223

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. In late 2021, for example, digital forensics was central to combating the Log4Shell vulnerability. Cold storage and rehydration. Cold storage and rehydration.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. But often, we use additional services and solutions within our environment for backups, storage, networking, and more.

Metrics 175

Metrics Engineering Energy Tuning 175

Dynatrace

AUGUST 30, 2023

To leverage the best of GKE Autopilot and cloud-native observability, Dynatrace and Google focused especially on Dynatrace’s innovative use of Container Storage Interface (CSI) pods. The CSI pod is mounted to application pods using an overlay file system. Agent logs security. Instant instrumentation. Minimal disk consumption.

Google 216

Google Cloud Innovation Infrastructure 216

The Netflix TechBlog

NOVEMBER 29, 2023

HDR was launched at Netflix in 2016 and the number of titles available in HDR has been growing ever since. Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. We present two sets.

Open Source 252

Open Source Software Engineering Internet Internet 252

The Netflix TechBlog

JUNE 12, 2023

To be a client systems engineer is to take joy in small endpoint automations that make your fellow employees’ day a little better. They can also facilitate automations that require information available only in the “login window” context, such as the provided username and password. We call this new tool Escrow Buddy.

Open Source 194

Open Source Database Servers Storage 194

Dynatrace

JANUARY 18, 2023

Let’s look at the unique enabling characteristics of business events through two use case examples, then see how easy it’s to get started. Inventory counts, revenue reports, and service activation flows are just a few examples that demand precision. This diagram shows a few examples of business events.

Analytics 224

Analytics Retail Storage Monitoring 224

Dynatrace

JUNE 7, 2023

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Ease of use.

Open Source 203

Open Source Social Media Infrastructure Operating System 203

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 146

Storage Latency Operating System Network 146

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. The Kubernetes experience.

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. Two styles of message queuing.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. Two styles of message queuing.

Monitoring 195

Monitoring Serverless Programming Speed 195

Percona

MAY 29, 2023

With the ever-increasing reliance on data, system outages or data loss can be catastrophic, causing significant business disruptions and financial losses. pgBackrest on the Main site streams backups and Write Ahead Logs (WALs) to the object storage. Disaster recovery is not optional for businesses operating in the digital age.

Storage 122

Storage Cloud Network Traffic 122

All Things Distributed

AUGUST 20, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Comments ().

Storage 122

Storage Cloud AWS Media 122

Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. This is not an exhaustive list but an example of what we can watch for. This KPI is also directly related to Query Performance and helps improve it.

Performance 106

Performance Monitoring Traffic Database 106

Dynatrace

DECEMBER 16, 2021

The amount of recordable data is broad, and ranges from basic user browser and web page information to detailed technical information about the system Log4j 2 is running on. How Log4j 2 can be exploited depends on the specifics of the affected system. It logs messages from software, and searches for errors afterwards.

Internet 259

Internet Internet Games Java 259

Dynatrace

JUNE 16, 2020

One key requirement of a microservices architecture is the ability to make information of all kinds available wherever and whenever it’s needed, without putting undue traffic on corporate and public networks. For example, you can create your own dashboard in minutes: What you get. Synchronous storage size. Async storage size.

Storage 132

Storage Metrics Java Architecture 132

Dynatrace

AUGUST 26, 2020

We’re continuously investing in performance optimizations, high availability, and resilience for Dynatrace Managed deployments. Say, for example, that you have some unused high memory instances (1 TB RAM / 128 vCPU cores or higher). Optimal metric storage management strategy. Support for high memory instances.

Performance 150

Performance Hardware Java Storage 150

The Netflix TechBlog

OCTOBER 15, 2019

Another issue exists for the capture of schema changes, where some systems, like MySQL, don’t support transactional schema changes [1][2]. By their nature, they can only rely on the lowest common denominator of participating systems. That system quickly grew very complex and became difficult to maintain.

Transportation 192

Transportation Architecture Processing Storage 192

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. I also built online serving systems and microservices powering Walmart’s e-commerce. What is your favorite project?

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

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. Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway.

AWS 214

AWS Transportation Network Traffic 214

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

DECEMBER 16, 2020

Source code management systems are only accessible from within the Dynatrace corporate network. All steps are fully automated, from source code being compiled to binaries, to the upload of the binaries to the AWS infrastructure where they are available for customers to download. No manual, error-prone steps are involved.

Software 230

Software Software Development AWS 230

Dynatrace

JUNE 8, 2021

Observability is a topic at the top of mind for all architects, Site Reliability Engineers (SREs), and more – each wanting to use observability to proactively detect issues and guarantee the best experience and availability to users. Usual exceptions raised by our system that is now considered to be normal by Davis. Slow degradations.

Metrics 164

Metrics Tuning Programming Systems 164

Dynatrace

DECEMBER 20, 2021

For example, the <body> element of your page exists on one branch of this tree structure, with any <img> assets branching off. Consider the example of “rage clicks,” which are rapid clicks (or taps) on the same spot when a feature is unresponsive. For example, are all user bounces caused by the same issue?

Mobile 243

Mobile Website Analytics Cache 243

Dynatrace

APRIL 26, 2022

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 200

Monitoring Social Media IoT Metrics 200

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore. This was another great addition that stemmed from our collaboration with GitHub.

Lambda 189

Lambda Media Open Source Metrics 189

Percona

AUGUST 7, 2023

Both logs are crucial in the ACID (Atomicity, Consistency, Isolation, Durability) properties of database systems. In this blog post, we will delve into the differences between the InnoDB undo log and redo log, exploring their significance and providing code examples to illustrate their usage.

Database 96

Database Tuning Storage Open Source 96

Adrian Cockcroft

APRIL 18, 2018

In reality, in any non-trivial installation, there are multiple tools collecting, storing and displaying overlapping sets of metrics from many types of systems and different levels of abstraction. This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

Scalegrid

JANUARY 25, 2024

These essential data points heavily influence both stability and efficiency within the system. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality. it signifies memory fragmentation. <code>127.0.0.1:6379>

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. The cache size depends on the available memory for VictoriaMetrics in the host system; hence planning for enough RAM on the host system is important for better performance to avoid having a high percentage of slow inserts.

Monitoring 101

Monitoring Scalability Cache Database 101

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 100

AWS Entertainment Open Source Benchmarking 100