Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. Siloed teams and multiple tools make it difficult to align on a single version of the truth for overall system health.

DevOps 224

DevOps Latency Traffic Best Practices 224

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. It represents the percentage of time a system or service is expected to be accessible and functioning correctly. Note : you might hear the term latency used instead of response time.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. So how can teams start implementing SLOs?

Software 269

Software Software Benchmarking Latency 269

Dynatrace

MARCH 16, 2023

Enterprises now have access to myriad metrics they can track and measure, but an abundance of choice doesn’t equal actionable insight. Indeed, 54% of SREs say they handle too many metrics, making it increasingly difficult to find the most relevant ones for a particular service, according to the Dynatrace State of SRE Report.

DevOps 220

DevOps Latency Metrics Traffic 220

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Observability is essential to ensure the reliability, security and quality of any software system. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions.

Serverless 213

Serverless Lambda Azure AWS 213

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Dynatrace news. A world of misunderstandings.

Automotive 274

Automotive Latency Architecture Azure 274

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

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. How can we verify that?

Metrics 175

Metrics Monitoring Database Network 175

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. As such, we can see that the traffic load on the Device Management Platform’s control plane is very dynamic over time.

Latency 213

Latency Traffic Transportation Hardware 213

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. But it doesn’t stop there.

DevOps 225

DevOps Traffic Efficiency Servers 225

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. The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. Automatic recovery for outages for up to 72 hours.

Availability 251

Availability Hardware Latency Traffic 251

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. It is proactive monitoring that simulates traffic with established test variables, including location, browser, network, and device type.

Monitoring 209

Monitoring Social Media IoT Metrics 209

The Netflix TechBlog

SEPTEMBER 8, 2020

To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries. After some consultation with our backend teams, we determined the most effective way to group these metrics were by UI screen. Replay Testing Enter replay testing.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

JUNE 27, 2022

However, not all user monitoring systems are created equal. RUM gathers information on a variety of performance metrics. RUM is ideally suited to provide real metrics from real users navigating a site or application. RUM, however, has some limitations, including the following: RUM requires traffic to be useful.

Best Practices 179

Best Practices Monitoring Wireless Traffic 179

Dynatrace

JUNE 8, 2020

As a software intelligence platform, Dynatrace is woven into the fabric of your business systems, actively managing and providing self-healing capabilities for all aspects of your applications and vital infrastructure. Metrics are provided for general host info like CPU usage and memory consumption, OneAgent traffic, and network latency.

Software 165

Software Software Programming Metrics 165

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. It is advisable to have a dedicated production MySQL Server that can independently claim the system resources as needed.

Performance 102

Performance Monitoring Traffic Database 102

Alex Russell

FEBRUARY 28, 2022

The metrics that we report against implicitly cleave these into different "camps", leaving us thinking about pre- and post-load as distinct universes. These steps inform a general description of the interaction loop: The system is ready to receive input. The system is ready to receive input. But what if they aren't?

Performance 104

Performance Latency Architecture Network 104

DZone

FEBRUARY 26, 2021

Performance testing is a non-functional type of software testing technique that is performed to know the performance of the current system. It checks the system’s responsiveness, speed, and stability under varying workload conditions.

Performance Testing 122

Performance Testing Testing Performance Latency 122

Smashing Magazine

AUGUST 3, 2023

It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.

Performance 74

Performance Cache Traffic Metrics 74

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. 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.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Adrian Cockcroft

JANUARY 29, 2023

There is no way to model how much more traffic you can send to that system before it exceeds it’s SLA. This is unfortunate, because we’d really like to be able to build systems that have an SLA that we can share with the consumers of our interfaces, and be able to measure how well we are doing.

Lambda 98

Lambda Latency Cache C++ 98

Scalegrid

APRIL 16, 2020

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). This can result in significant cost savings for high traffic applications. Expert Tip.

Cloud 242

Cloud Azure AWS Database 242

Speed Curve

FEBRUARY 5, 2024

However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. Latency – How much time does it take to deliver a packet from A to B. That performance golden rule still holds true today.

Servers 57

Servers Cache Retail Benchmarking 57

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. What if your monitoring systems fail? How do you even know when a monitoring system has failed?

Monitoring 40

Monitoring Systems Virtualization Metrics 40

Dotcom-Montior

NOVEMBER 16, 2021

In one of our previous articles , we discussed what an SRE is, what they do, and some of the common responsibilities that a typical SRE may have, like supporting operations, dealing with trouble tickets and incident response, and general system monitoring and observability. It is understood that no system is 100 percent reliable.

Monitoring 91

Monitoring Google DevOps Engineering 91

IO River

NOVEMBER 2, 2023

determining a business's value to its clients, the level of service it provides is often a key metric. However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

determining a business's value to its clients, the level of service it provides is often a key metric. However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."

Availability 52

Availability Social Media Traffic Games 52

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+). Only teams that master their systems can make intentional trade-offs.

Performance 86

Performance Latency Metrics Engineering 86

The Morning Paper

JULY 4, 2019

Are you ready to take your system assurance programme to the next level? In all cases we need to be able to carefully monitor the impact on the system, and back out if things start going badly wrong. Netflix’s system is deployed on the public cloud as complex set of interacting microservices.

Latency 77

Latency Engineering Metrics Traffic 77

Smashing Magazine

OCTOBER 31, 2023

But do you know how Lighthouse calculates performance metrics like First Contentful Paint (FCP), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS)? Still, there’s nothing in there to tell us about the data Lighthouse is using to evaluate metrics. But it comes with caveats. So why use lab data at all?

Speed 97

Speed Google Website Metrics 97

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Dotcom-Montior

MAY 12, 2020

They now allow users to interact more with the company in the form of online forms, shopping carts, Content Management Systems (CMS), online courses, etc. There are certain metrics to be considered for a user to have a hassle-free experience. Network latency. Network Latency. Network latency can be affected due to.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

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

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

John McCalpin

APRIL 2, 2020

The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).

Benchmarking 59

Benchmarking Performance Latency Architecture 59