Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. For Premium HA, this has been extended from 10 ms latency (in the same network region) to around 100 ms network latency due to asynchronous data replication between regions.

Availability 247

Availability Hardware Latency Traffic 247

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

JULY 24, 2023

We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes. Business process automation Business process automation is the foundation for improving operational efficiency.

DevOps 220

DevOps Traffic Efficiency Servers 220

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.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. Dynatrace provides automation for detecting problems, and you can opt to automatically run a change-impact analysis report to proactively validate important objectives.

Best Practices 189

Best Practices Code Infrastructure Latency 189

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. What is cloud migration?

Cloud 165

Cloud Traffic Best Practices Strategy 165

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Netflix TechBlog

SEPTEMBER 8, 2020

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits. Replay Testing Enter replay testing.

Latency 233

Latency Cache Java Traffic 233

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. Organizations can select the most cost-effective option for each region or traffic type, reducing overall CDN expenses.4.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

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

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

Percona

NOVEMBER 9, 2023

Applications can be horizontally scaled with Kubernetes by adding or deleting containers based on resource allocation and incoming traffic demands. It distributes the load among containers and nodes automatically, ensuring that your application can handle any spike in traffic without the need for manual intervention from an IT staff.

Efficiency 107

Efficiency Cloud Healthcare Open Source 107

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

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. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache 251

Cache Latency Airlines Logistics 251

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. Throughput and latency. The short answer is no.

Energy 130

Energy Latency Performance Network 130

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 107

Performance Monitoring Traffic Database 107

Dynatrace

APRIL 26, 2022

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). What DEM and business observability mean for the bottom line.

Monitoring 203

Monitoring Social Media IoT Metrics 203

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. Organizations can select the most cost-effective option for each region or traffic type, reducing overall CDN expenses.4.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

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. Ultimately improving efficiency while minimizing errors.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

IO River

NOVEMBER 15, 2023

In technical terms, network-level firewalls regulate access by blocking or permitting traffic based on predefined rules. ‍At its core, WAF operates by adhering to a rulebook—a comprehensive list of conditions that dictate how to handle incoming web traffic. It's an ongoing, iterative process.

Traffic 52

Traffic Network Logistics Architecture 52

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. What about short-lived processes, like a service restarting in a loop? This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. These can be invisible to top(8).

Speed 126

Speed Java AWS Virtualization 126

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. Two failure modes we focus on are a service becoming slower (increase in response latency) or a service failing outright (returning errors).

Latency 77

Latency Engineering Metrics Traffic 77

IO River

NOVEMBER 2, 2023

In technical terms, network-level firewalls regulate access by blocking or permitting traffic based on predefined rules. At its core, WAF operates by adhering to a rulebook—a comprehensive list of conditions that dictate how to handle incoming web traffic. It's an ongoing, iterative process.

Traffic 40

Traffic Network Logistics Architecture 40

IO River

NOVEMBER 2, 2023

The company had to compensate customers for their losses, including reimbursement for flights, accommodation, and $135,000 over tarmac delays.What Is The Process For Calculating Availability?By The stakes are even higher during high-traffic periods such as Black Friday or Cyber Monday.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

The company had to compensate customers for their losses, including reimbursement for flights, accommodation, and $135,000 over tarmac delays.What Is The Process For Calculating Availability?By The stakes are even higher during high-traffic periods such as Black Friday or Cyber Monday.

Availability 52

Availability Social Media Traffic Games 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. What’s missing in this picture?

IoT 78

IoT Analytics Big Data Architecture 78

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

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

With a staff of slightly over 175 full-time employees (less than 1/2 in consulting roles), we must therefore focus on highly-leveraged performance analysis projects, rather than labor-intensive ones. Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

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.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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. Database information and performance schemas The best approach for database performance analysis is to take a top-down approach. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. What about short-lived processes, like a service restarting in a loop? This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. These can be invisible to top(8).

Speed 52

Speed Java AWS Virtualization 52

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. Figure out how much delay is built into your observability system, it may be taking samples once a minute, processing them for a minute or two, then watching for several bad samples in a row before it triggers an alert.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. Figure out how much delay is built into your observability system, it may be taking samples once a minute, processing them for a minute or two, then watching for several bad samples in a row before it triggers an alert.

Latency 53

Latency Engineering Systems Hardware 53