The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. Pensive relies on a regular expression based rules engine that has been curated over time. What’s Next? But our job is nowhere near done.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

MAY 1, 2023

Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time. Define core metrics. Organizations use this open source, distributed analytics engine for big data workloads. Clean data and optimize quality. Apache Spark.

Analytics 197

Analytics Artificial Intelligence Big Data Open Source 197

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). These metrics help to keep a network system up and running?, Other such metrics include uptime, downtime, number of incidents, time between incidents, and time to respond to and resolve an issue. So, what is MTTR?

DevOps 215

DevOps Artificial Intelligence Metrics Network 215

Dynatrace

MAY 14, 2020

A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. The ALR mechanism also ensures maximum stability when the actual load exceeds the capacity of the cluster (though a statistically valid set of requests is still captured for analysis by the Dynatrace Davis AI causation engine ).

Processing 159

Processing Hardware Traffic Storage 159

Tasktop

MAY 28, 2020

Jim has been instrumental in helping the company to double down on software innovation as a product mindset across complex value streams that straddle both software and hardware. We’ve widely distributed Project to Product across engineering. Accelerating with a Software/Hardware Hybrid. Cross-Organizational Visibility .

Speed 52

Speed Metrics Transportation Hardware 52

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Dynatrace news. Self-contained turnkey solution.

Availability 253

Availability Hardware Latency Traffic 253

Dynatrace

JUNE 29, 2022

They use the same hardware, APIs, tools, and management controls for both the public and private clouds. Amazon Web Services (AWS) Outpost : This offering provides pre-configured hardware and software for customers to run native AWS computing, networking, and services on-premises in a cloud-native manner.

Infrastructure 190

Infrastructure Cloud Azure AWS 190

Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. As a bonus, operations staff never needs to update operating systems or hardware, because AWS manages servers with no stoppage of application functionality. How does AWS Lambda work? Optimizing Lambda for performance.

Lambda 186

Lambda AWS Serverless Hardware 186

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives?

DevOps 214

DevOps Social Media Mobile Metrics 214

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 310

Open Source Traffic DevOps Cloud 310

CSS - Tricks

JULY 25, 2019

Lighthouse records metrics from the browser, applies a scoring model to them, and presents an overall performance score. Guidelines for improvement are suggested based on how specific metrics score. During performance tests, Lighthouse records many metrics focused on what a user sees and experiences. In PageSpeed 5.0,

Google 71

Google Engineering Speed Mobile 71

Dynatrace

APRIL 15, 2022

While modern cloud systems simplify tasks — such as deploying apps and provisioning new hardware and servers — cloud environments can be surprisingly complex. This enables a site reliability engineering approach to cloud operations, in which organizations improve reliability using service-level objectives (SLOs) and error budgets.

Cloud 185

Cloud Infrastructure Innovation Monitoring 185

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Additionally, large differences in a metric by themselves do not make a metric poor.

Energy 98

Energy Architecture Hardware Metrics 98

Dynatrace

NOVEMBER 22, 2022

Five-nines availability has long been the goal of site reliability engineers (SREs) to provide system availability that is “always on.” Site reliability engineering teams often measure system availability in percentages in the pursuit of 100% uptime. Five-nines availability: The ultimate benchmark of system availability.

Infrastructure 191

Infrastructure Availability Systems Retail 191

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). In general, metrics collectors and providers are most common, followed by log and tracing projects.

Open Source 349

Open Source Java Operating System Programming 349

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Python has long been a popular programming language in the networking space because it’s an intuitive language that allows engineers to quickly solve networking problems.

Open Source 279

Open Source Network Infrastructure Big Data 279

DZone

JANUARY 16, 2021

CPU consumption in Unix/Linux operating systems is broken down into 8 different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , and Stolen CPU time. In this article, let us study ‘waiting CPU time’. What Is ‘Waiting’ CPU Time?

Operating System 124

Operating System Hardware Network Metrics 124

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

AUGUST 12, 2020

With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. Whether your data source is the API or OneAgent, you get the same visibility into the most critical performance metrics.

Serverless 241

Serverless Azure Monitoring Lambda 241

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. Don’t pay for capacity you don’t use or need.

Cloud 119

Cloud Serverless AWS Storage 119

Dotcom-Montior

NOVEMBER 24, 2021

Within an organization, the responsibility of monitoring these large distributed systems typically falls on site reliability engineering (SRE) teams. Software and hardware components are autonomous and execute tasks concurrently. Types of Distributed Systems. State is distributed through the system. Concurrency. Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 108

Availability Database Open Source Hardware 108

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. Monitoring these metrics helps ensure data protection, minimize downtime, and ensure business continuity.

Performance 104

Performance Monitoring Traffic Database 104

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. The solution is proactive monitoring using time-lapse metrics monitoring like what you would get with Percona Monitoring and Management (PMM). Let’s take a look at each common resource.

Traffic 89

Traffic Cache Monitoring Database 89

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. What is HammerDB? Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Netflix TechBlog

DECEMBER 23, 2020

We had a shared metrics daemon on the machine that reached in and polled metrics from the container. In addition to that, we could use our standard metrics daemons on the host. For example, we run an SSH daemon per container and a metrics daemon per container. We call this model “System Services”?

Media 286

Media Metrics Systems Processing 286

CSS Wizardry

OCTOBER 27, 2018

It is vital, therefore, that engineers have a firm understanding of performance fundamentals, as well as a solid command of their tools. Who: Engineers. Who: Engineers, Product Owners. Do changes in performance correlate to changes in business metrics? Who: Engineers, Product Owners, Marketing.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Dynatrace

AUGUST 12, 2020

With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. Whether your data source is the API or OneAgent, you get the same visibility into the most critical performance metrics.

Serverless 144

Serverless Azure Monitoring Lambda 144

Alex Russell

APRIL 29, 2021

Apple forces developers of competing browsers to use their engine for all browsers on iOS , restricting their ability to deliver a better version of the web platform. They are, pound for pound, some of the best engine developers globally and genuinely want good things for the web. So is speedy resolution and agreement.

Media 145

Media Games Education Engineering 145

The Morning Paper

JULY 4, 2019

This is a fascinating paper from members of Netflix’s Resilience Engineering team describing their chaos engineering initiatives: automated controlled experiments designed to verify hypotheses about how the system should behave under gray failure conditions, and to probe for and flush out any weaknesses. The Chaos automation platform.

Latency 77

Latency Engineering Metrics Traffic 77

Alex Podelko

SEPTEMBER 8, 2020

How did you get into performance engineering? After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer. You do not need to trouble yourself with datasets, hardware, reporting or any of the usual pain points of JMeter, we’ll do it for you.

Open Source 223

Open Source Performance Testing Testing Performance 223

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., On a VE20B (8 cores, 1.6

Benchmarking 97

Benchmarking Cache Latency Tuning 97

HammerDB

APRIL 19, 2023

The table below shows the performance characteristics of both benchmarks captured using the System Activity Reporter (SAR) tool in Linux: sysbench HammerDB sysbench/ HammerDB CPU METRICS cpu_utilization_% 66.83 DISK METRICS sysstat_io_nvme0n1_avg_wait_ms 8.32 NETWORK METRICS sysstat_net_ens260f1_rx_kB/s 38,241 22,700 1.68

Performance 54

Performance Benchmarking Cache Storage 54

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. Considering a Fully Managed DBaaS Offering For Your Business? RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. Since then, the metrics conversation has moved forward significantly, culminating in Core Web Vitals , reported via the Chrome User Experience Report to reflect the real-world experiences of users. Hardware Past As Performance Prologue.

Performance 124

Performance Network Cache Metrics 124

SQL Performance

JANUARY 23, 2020

When used in combination with resource metrics, waits can be valuable for assessing certain performance characteristics of the workload and aid in steering tuning efforts. Waitstats come directly from the SQL Server engine and are easy to consume and categorize. Most Queries Don't Wait.

Tuning 115

Tuning Servers Monitoring Hardware 115