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. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Understanding cold-start behavior is essential to tune your cloud applications cost or performance to meet your operational needs.

Serverless 213

Serverless Lambda Azure AWS 213

Dynatrace

MAY 17, 2023

In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™. Based on those insights, they implemented automated validation tasks, and shifted left in their software delivery pipeline.

DevOps 192

DevOps Traffic Latency Best Practices 192

SQL Performance

SEPTEMBER 17, 2019

This article will cover many areas that database administrators need to be aware of in order to properly license, recover, and tune a Reporting Services installation. Tuning Options. Tuning SSRS is much like any other application. Disk latency for ReportServer and ReportServerTempDB are very important. General Tuning.

Tuning 67

Tuning Servers Database Best Practices 67

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. Metrics are a key part of understanding application health. Client metrics and QoE changes.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 175

Metrics Monitoring Database Network 175

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. Expanding on the traditional observability pillars of metrics, logs, and traces, DEM collects user experience data to complete the end-to-end picture.

Monitoring 209

Monitoring Social Media IoT Metrics 209

Percona

NOVEMBER 3, 2023

And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty. psql pgbench <<_eof1_ qecho adding node citus3. select citus_add_node('citus3', 5432); qecho rebalancing shards across TWO nodes. psql pgbench <<_eof1_ qecho adding node citus3.

Database 102

Database Benchmarking Latency C++ 102

Dynatrace

JANUARY 26, 2021

When an application is triggered, it can cause latency as the application starts. This creates latency when they need to restart. Your team should incorporate performance metrics, errors, and access logs into your monitoring platform. The platform builds the trigger to initiate the app. Monitoring serverless applications.

Serverless 245

Serverless Efficiency Lambda Azure 245

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. 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., Assembly for two of the metrics (e.g.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

FEBRUARY 18, 2022

This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns. Furthermore, in addition to real-time alerting, we added trend analysis for important metrics to help catch longer term degradations.

Systems 334

Systems Traffic Architecture Mobile 334

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., Stay tuned!

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.

Tuning 133

Tuning Cache Servers Benchmarking 133

Dynatrace

JULY 24, 2023

Observability data provides a treasure trove of performance, stability, and user experience metrics encompassing error rates, response times, and user engagement. With swift precision, an answer-driven automation solution that uses causal AI can transform these metrics into invaluable insights.

DevOps 225

DevOps Traffic Efficiency Servers 225

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? For example, if your SLO is to deliver 99.5%

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

The Netflix TechBlog

AUGUST 22, 2019

In the canary stage, Kayenta is used to compare metrics between a baseline (current AMI) and the canary (new AMI). The canary stage will determine a score based on metrics such as CPU, threads, latency, and GC pauses. If this score is within a healthy threshold the AMI is deployed to each environment.

DevOps 207

DevOps AWS Tuning Infrastructure 207

The Netflix TechBlog

AUGUST 30, 2021

Thus, the implemented solution must integrate with Netflix Spring facilities for authentication and metrics support at the very minimum?—?the By the following morning, alerts were received regarding high memory consumption and GC latencies, to the point where the service was unresponsive to HTTP requests. million elements.

Latency 213

Latency Traffic Transportation Hardware 213

The Netflix TechBlog

NOVEMBER 2, 2020

Those two metrics are approximate indicators of failures and latency. When the threshold percentage for one of these two metrics is crossed, we reduce load on the service by throttling traffic. The key metrics used to trigger global throttling are CPU utilization, concurrent requests, and connection count.

Traffic 252

Traffic Metrics Infrastructure Architecture 252

Dynatrace

MAY 5, 2021

For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites. Fine-tuning the service-level indicators that make up quality gates will improve with the help of upcoming features. Organizations can feel the impact of even a minor roadblock in the user experience.

Benchmarking 188

Benchmarking Latency Speed Software 188

Adrian Cockcroft

AUGUST 1, 2022

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52

AWS Virtualization DevOps Latency 52

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. We are taking Big Data Orchestration to the next level and constantly solving new problems and challenges, please stay tuned. There are three common issues that the dataset owners usually face.

Processing 210

Processing Big Data Efficiency Engineering 210

Dotcom-Montior

NOVEMBER 11, 2020

Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. The primary challenge being not able to access the underlying infrastructure metrics. The time it takes between an action and a response is latency. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Consistently evaluating and tuning resource allocations based on use patterns helps prevent overprovisioning and reduces unnecessary expenses.

Strategy 130

Strategy Cloud Government Innovation 130

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. Data Quality Data Mesh provides metrics and dashboards at both the processor and pipeline level for operational observability. Please stay tuned!

Big Data 253

Big Data Government Analytics Processing 253

The Morning Paper

MAY 21, 2019

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory. ML-based auto-tuning. Evaluation.

Software 78

Software Software Google Hardware 78

The Morning Paper

MARCH 17, 2020

higher latency and lower bandwidth)… We have found the actual behavior of Optane DIMMs to be more complicated and nuanced than the "slower, persistent DRAM" label would suggest. The read latency for Optane is 2x-3x higher than DRAM. Optane DIMMs are here! Optane memory is also more pattern-dependent than DRAM. to 0.98.

Scalability 59

Scalability Latency Cache Media 59

The Morning Paper

JULY 7, 2019

In addition to availability, our respondents focus most heavily on supporting the following data attributes: “accessibility, accuracy, authoritativeness, freshness, latency, structuredness, ontological typing, connectedness, and semantic joinability.” To address this, rigorous rollout processes are required.

Software Engineering 92

Software Engineering Engineering Software Software 92

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 bin/pgbench -c 1 -S -T 60 pgbench starting vacuum.end.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Smashing Magazine

AUGUST 22, 2021

Because we are dealing with network protocols here, we will mainly look at network aspects, of which two are most important: latency and bandwidth. Latency can be roughly defined as the time it takes to send a packet from point A (say, the client) to point B (the server). Two-way latency is often called round-trip time (RTT).

Performance 105

Performance Network Latency Servers 105

Smashing Magazine

SEPTEMBER 29, 2021

Key user-centric metrics often depend on the size, number, layout, and loading priority of images on the page. Smaller file size directly impacts the Largest contentful Paint (LCP) metric for the page as image resources needed by the page get loaded faster. A tl;dr of recommendations can be found below. Large preview ).

Open Source 144

Open Source Speed Website Google 144

Brendan Gregg

MAY 16, 2017

A latency outlier issue that happened every 15 minutes. I'm also monitoring various chatrooms and metrics, and will jump in when needed. For Linux, I've also done tuning, kernel analysis, [gdb], testing of [hist triggers], testing of some perf patches, and contributed a few trivial patches of my own.

Java 75

Java Entertainment Engineering Scalability 75

HammerDB

NOVEMBER 5, 2018

Additionally for the log disk component it is latency for an individual write that is crucial rather than the total I/O bandwidth. As HammerDB supports graphical metrics for Oracle, this provides the best illustration however the concepts apply in general terms to all databases. A good example of how tuning is an iterative process.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Smashing Magazine

AUGUST 9, 2021

You’ve probably heard things like: “HTTP/3 is much faster than HTTP/2 when there is packet loss”, or “HTTP/3 connections have less latency and take less time to set up”, and probably “HTTP/3 can send data more quickly and can send more resources in parallel”. Stay tuned! (vf, vf, il, al).

Transportation 145

Transportation Internet Internet Network 145

Smashing Magazine

SEPTEMBER 6, 2021

Finally, not inlining resources has an added latency cost because the file needs to be requested. As such, a micro-optimization is, again, how you probably need to fine-tune things on a low level to really benefit from it. In our own early tests , I found seriously diminishing returns at about 40 files. What Does It All Mean?

Network 104

Network Servers Cache Traffic 104

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements.

Lambda 123

Lambda Cloud IoT AWS 123