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. Connect Dynatrace to your cloud-vendor to gather relevant infrastructure monitoring data, which gives you essential health insights.

Serverless 200

Serverless Lambda Azure AWS 200

Dotcom-Montior

NOVEMBER 24, 2021

Setting up and monitoring these systems was pretty easy compared to today’s standards. There were no dynamic web applications or complex user scenarios to have to monitor. monitoring distributed systems becomes much more difficult to carry out and manage. Onto the next project. Gone are the days of monolithic architecture.

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

APRIL 6, 2022

A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance. Comprehensive observability is also essential for digital experience monitoring (DEM). Why full-stack observability matters. See observability in action!

DevOps 225

DevOps Innovation Infrastructure Analytics 225

Smashing Magazine

MAY 16, 2022

Rethinking Server-Timing As A Critical Monitoring Tool. Rethinking Server-Timing As A Critical Monitoring Tool. To me, it’s a must-use in any project where real user monitoring (RUM) is being instrumented. To me, it’s a must-use in any project where real user monitoring (RUM) is being instrumented. Sean Roberts.

Servers 92

Servers Monitoring Cache Network 92

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Website and Web Application Monitoring. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. HTTP Monitoring. Network latency.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Percona

DECEMBER 26, 2023

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. Configuring Grafana For our purposes, the Grafana datasource used in this PoC is also the Postgres data cluster that is generating the data to be monitored.

Benchmarking 123

Benchmarking Metrics C++ Database 123

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 171

Artificial Intelligence Metrics Architecture DevOps 171

Scalegrid

DECEMBER 16, 2019

We ran performance tests for MongoDB on DigitalOcean vs. AWS vs. Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. Monitoring Performance. Monitoring is also a huge component to managing a MongoDB deployment. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

Scalegrid

MARCH 14, 2024

Key elements, including: Cloud Backup and Disaster Recovery Hybrid Cloud Security Interoperability Compliance Must be considered carefully to facilitate smooth workload movement between environments while reducing latency. It should offer user-friendly operation. Capabilities for handling diverse data management functions are necessary.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

AUGUST 30, 2021

Thus, the implemented solution must integrate with Netflix Spring facilities for authentication and metrics support at the very minimum?—?the the former for access to the Kafka clusters and the latter for service monitoring and alerts. Construct an Alpakka-Kafka processing graph using the ConsumerSettings bean as an input.

Latency 213

Latency Traffic Transportation Hardware 213

Smashing Magazine

AUGUST 3, 2023

Google’s Core Web Vitals is a set of performance metrics that site owners can use to evaluate performance and diagnose performance issues. These metrics provide a different perspective on user experience: Largest Contentful Paint (LCP) Measures the time it takes for the main content on a webpage to load. One of the key Next.js

Performance 74

Performance Cache Traffic Metrics 74

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency.

Performance 86

Performance Latency Metrics Engineering 86

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Dotcom-Montior

DECEMBER 8, 2021

An organization’s response to an incident, whether we are talking about downtime, security breaches or cyber-attacks, or even prolonged latency and repeated errors, is critical to the continued success of the business and trust from the customer or end user. Incident identification begins with some form of monitoring or alerting mechanism.

Social Media 90

Social Media Monitoring Latency DevOps 90

The Netflix TechBlog

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100

AWS Entertainment Open Source Benchmarking 100

CSS - Tricks

JULY 25, 2019

This article is from my friend Ben who runs Calibre , a tool for monitoring the performance of websites. 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. Recommended!

Google 71

Google Engineering Speed Mobile 71

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. By tracking metrics only at the level of service being updated, we might miss capturing deviations in broader end-to-end system functionality.

Traffic 279

Traffic Metrics Systems Strategy 279

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

O'Reilly Software

APRIL 30, 2018

Monitoring is critical for resiliency. Few things are as crucial to maintaining resilient applications as monitoring. Services running in the cloud must be continuously monitored to ensure proper operation. Monitoring services provide customers and cloud providers real-time data on a variety of key metrics.

Cloud 68

Cloud Traffic Internet Internet 68

Adrian Cockcroft

NOVEMBER 11, 2019

It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start. There is no need to retry and no extra time taken when a failure is present.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start. There is no need to retry and no extra time taken when a failure is present.

Latency 53

Latency Engineering Systems Hardware 53

Smashing Magazine

MAY 20, 2020

Which metrics should I use?” Which values of these metrics are acceptable?”. The metrics selection is outside of the scope of this article and depends highly on the project context, but I recommend that you start by reading User-centric Performance Metrics by Philip Walton. Adding 20% to them and set as your next goals.

Performance 98

Performance Metrics Best Practices Code 98

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. LogRocket tracks key metrics, incl. Getting Ready: Planning And Metrics. Vitaly Friedman. 2021-01-11T15:30:13+00:00.

Performance 145

Performance Cache Media Metrics 145

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. Instead all of the client servers are connecting to the TP monitor.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Testing And Monitoring. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Testing And Monitoring. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Setting Realistic Goals.

Performance 103

Performance Cache Metrics Network 103

CSS - Tricks

NOVEMBER 1, 2019

People say JAMstack sites are fast — let’s find out why by looking at real performance metrics! We’ll cover common metrics, like Time to First Byte ( TTFB ) among others, then compare data across a wide section of sites to see how different ways to slice those sites up compare. Latency matters. First Contentful Paint.

Speed 46

Speed Mobile Metrics Scalability 46

The Netflix TechBlog

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Alex Russell

JULY 14, 2021

This reduces friction and commensurately increases "engagement" metrics. [6]. Apps can also monitor user input, resulting DOM, and system auto-filled credentials. They are as helpless as users are to understand why an otherwise browser-presenting environment appears subtly, yet profoundly, broken.

Google 121

Google Mobile Engineering Internet 121

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. In an earlier blog post, we discussed Telltale , our health monitoring system. Tracing as a foundation Logs, metrics, and traces are the three pillars of observability.

Latency 296

Latency Transportation Engineering Traffic 296

Highly Scalable

MAY 1, 2012

This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Computation of more advanced metrics like a number of unique visitor or most frequent items is more challenging and requires a lot of resources if implemented straightforwardly. Case Study. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Netflix TechBlog

FEBRUARY 20, 2019

Today we are excited to announce latency heatmaps and improved container support for our on-host monitoring solution?—?Vector?—?to Remotely view real-time process scheduler latency and tcp throughput with Vector and eBPF What is Vector? to the broader community. Vector is open source and in use by multiple companies.

Performance 211

Performance Latency Open Source Metrics 211

The Netflix TechBlog

NOVEMBER 12, 2019

Page Simulation for Better Offline Metrics at Netflix by David Gevorkyan , Mehmet Yilmaz , Ajinkya More , Gaurav Agrawal , Richard Wellington , Vivek Kaushal , Prasanna Padmanabhan , Justin Basilico At Netflix, we spend a lot of effort to make it easy for our members to find content they will love.

Metrics 124

Metrics Government Systems Testing 124

The Netflix TechBlog

NOVEMBER 12, 2019

Page Simulation for Better Offline Metrics at Netflix by David Gevorkyan , Mehmet Yilmaz , Ajinkya More , Gaurav Agrawal , Richard Wellington , Vivek Kaushal , Prasanna Padmanabhan , Justin Basilico At Netflix, we spend a lot of effort to make it easy for our members to find content they will love.

Metrics 100

Metrics Government Systems Testing 100

The Netflix TechBlog

NOVEMBER 12, 2019

Page Simulation for Better Offline Metrics at Netflix by David Gevorkyan , Mehmet Yilmaz , Ajinkya More , Gaurav Agrawal , Richard Wellington , Vivek Kaushal , Prasanna Padmanabhan , Justin Basilico At Netflix, we spend a lot of effort to make it easy for our members to find content they will love.

Metrics 100

Metrics Government Systems Testing 100