Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

Monitoring 202

Monitoring Social Media IoT Metrics 202

Dynatrace

JUNE 8, 2020

Dynatrace Managed operates as a SaaS solution that keeps your data and data analysis on-premise in your own data center, thereby fulfilling the highest privacy and regulatory needs. 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

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. The first 5G networks are now deployed and operational.

Energy 130

Energy Latency Performance Network 130

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

DZone

FEBRUARY 26, 2021

But usually, it is seen that most of the applications fail to deliver expected performance under peak load or fluctuating network conditions. This test helps to ensure that the application performs as expected irrespective of the conditions like fluctuating network, bandwidth availability, or traffic load.

Performance Testing 122

Performance Testing Testing Performance Latency 122

Percona

NOVEMBER 9, 2023

Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. Applications can be horizontally scaled with Kubernetes by adding or deleting containers based on resource allocation and incoming traffic demands.

Efficiency 104

Efficiency Cloud Healthcare Open Source 104

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. Even minor misconfigurations can lead to disruptive traffic interruptions. What is Multi-CDN?A

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

IO River

NOVEMBER 15, 2023

The OSI Model is like a layer cake of how data moves through networks. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 52

Traffic Network Logistics Architecture 52

Dynatrace

SEPTEMBER 30, 2021

In case of a spike in traffic, you can automatically spin up more resources, often in a matter of seconds. Likewise, you can scale down when your application experiences decreased traffic. For example, as traffic increases, costs will too. This can dramatically decrease network latency and its effect on the end-user experience.

Cloud 164

Cloud Traffic Best Practices Strategy 164

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 105

Performance Monitoring Traffic Database 105

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

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. I presented this analysis of response time distributions talk in 2016 — at Microxchg in Berlin ( video ). Mu is the mean of each component, the latency. I’ve been thinking about this for a long time.

Lambda 98

Lambda Latency Cache C++ 98

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. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

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. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? MPI runtime libraries are typically built to interact with one or more lower-level interfaces to shared-memory transport implementation(s) and networking hardware.

Hardware 40

Hardware Transportation Performance Latency 40

IO River

NOVEMBER 2, 2023

The OSI Model is like a layer cake of how data moves through networks. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 40

Traffic Network Logistics Architecture 40

All Things Distributed

JUNE 20, 2017

As well as AWS Regions, we also have 21 AWS Edge Network Locations in Asia Pacific. This enables customers to serve content to their end users with low latency, giving them the best application experience. 9GAG is a Hong Kong-based company responsible for 9gag.com , one of the top traffic websites in the world.

AWS 146

AWS Logistics Cloud Social Media 146

Smashing Magazine

OCTOBER 31, 2023

Type 2: Full Real-User Monitoring (RUM) If CrUX offers one flavor of real-user data, then we can consider “full real-user data” to be another flavor that provides even more in the way individual experiences, such as specific network requests made by the page. The accuracy of observed data depends on how the test environment is set up.

Speed 97

Speed Google Website Metrics 97

HammerDB

OCTOBER 23, 2023

With a simple example such as this, it would not necessarily be expected for the additional network traffic to be significant between the 2 approaches. However, with more complex application logic this network round trip soon becomes a key focus area for improving performance. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

IO River

NOVEMBER 2, 2023

Delta Air Lines experienced a severe system outage in 2017, resulting in flight cancellations and delays across their network. The stakes are even higher during high-traffic periods such as Black Friday or Cyber Monday. High availability is a business imperative in this sector.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

Delta Air Lines experienced a severe system outage in 2017, resulting in flight cancellations and delays across their network. The stakes are even higher during high-traffic periods such as Black Friday or Cyber Monday. High availability is a business imperative in this sector.

Availability 52

Availability Social Media Traffic Games 52

The Morning Paper

JULY 4, 2019

Moreover, just like an A/B test, we’ll be collecting metrics while the experiment is underway and performing statistical analysis at the end to interpret the results. degraded hardware, transient networking problem) or, more often, because of some change deployed by Netflix engineers that did not have the intended effect.

Latency 77

Latency Engineering Metrics Traffic 77

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

ScaleOut Software

JULY 19, 2021

This data is also periodically uploaded to a data lake for offline batch analysis that calculates key statistics and looks for big trends that can help optimize operations. The list goes on. The Limitations of Today’s Streaming Analytics. What’s missing in this picture? A New Approach: Real-Time Device Tracking.

IoT 78

IoT Analytics Big Data Architecture 78

O'Reilly

DECEMBER 2, 2019

The most obvious change 5G might bring about isn’t to cell phones but to local networks, whether at home or in the office. High-speed networks through 5G may represent the next generation of cord cutting. Those waits can be significant, even if you’re on a corporate network. What will 5G mean in practice? I don’t, do you?

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Alex Russell

MARCH 6, 2021

Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two. Modern network performance and availability.

Performance 124

Performance Network Cache Metrics 124

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. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security. Wednesday?—?December

AWS 37

AWS Entertainment Open Source Benchmarking 37

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. For systems that are latency sensitive, creating two independent ways to succeed is an important technique for greatly reducing the 99th percentile latency.

Latency 52

Latency Engineering Systems Hardware 52

Dynatrace

AUGUST 5, 2019

It covers these key areas: Technology & Dependency Analysis. Resource consumption & traffic analysis. While most of our cloud & platform partners have their own dependency analysis tooling, most of them focus on basic dependency detection based on network connection analysis between hosts.

Cloud 31

Cloud Traffic Database Network 31

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. For systems that are latency sensitive, creating two independent ways to succeed is an important technique for greatly reducing the 99th percentile latency.

Latency 53

Latency Engineering Systems Hardware 53

CSS - Tricks

JULY 25, 2019

Over the past couple of years, it has become the go-to free performance analysis tool. Lighthouse uses Chrome’s Remote Debugging Protocol to read network request information, measure JavaScript performance, observe accessibility standards and measure user-focused timing metrics like First Contentful Paint , Time to Interactive or Speed Index.

Google 71

Google Engineering Speed Mobile 71

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. Case Study. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

KeyCDN

AUGUST 15, 2019

Just because everything works perfectly during production testing doesn’t mean that will be the case when your website is flooded with traffic. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What Are the Benefits of Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55