Dynatrace

FEBRUARY 21, 2024

Before a new version of the application is deployed, the software is subject to a series of load tests that evaluate capacity and performance under a series of simulated traffic and application demands. These metrics are latency, traffic, errors, and saturation, all of which must be key considerations when curating user experience.

Speed 219

Speed Software Software Latency 219

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 256

Availability Hardware Latency Traffic 256

Dynatrace

DECEMBER 27, 2022

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. Establish realistic SLO targets based on statistical and probabilistic analysis. Latency is the time that it takes a request to be served. Reliability.

Software 276

Software Software Benchmarking Latency 276

The Netflix TechBlog

SEPTEMBER 10, 2024

Traditional performance analysis tools such as perf can introduce significant overhead, risking further performance degradation. Continuous instrumentation is critical to catching such matters as they emerge, and eBPF, with its hooks into the Linux scheduler with minimal overhead, enabled us to monitor run queue latency efficiently.

Latency 251

Latency Metrics Programming Monitoring 251

The Netflix TechBlog

FEBRUARY 18, 2022

We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters. This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

AUGUST 27, 2024

Leveraging code-level insights and transaction analysis, teams can detect and thwart malicious activity. Automated business impact analysis Organizations can use the Dynatrace platform to analyze and automate business analysis, like the business impact analysis required for DORA incident reporting.

Best Practices 276

Best Practices Government DevOps Analytics 276

Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. At the lowest level, SLIs provide a view of service availability, latency, performance, and capacity across systems. More than one in seven outages cost more than $1 million.

Best Practices 233

Best Practices DevOps Latency Metrics 233

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 242

Latency Storage Traffic Tuning 242

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 240

Processing Media Latency Innovation 240

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? This allows us to focus on data analysis and problem-solving rather than managing complex systemchanges.

Traffic 174

Traffic Scalability Strategy Monitoring 174

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 243

Latency Cache Java Traffic 243

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 260

Cache Latency Airlines Logistics 260

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 38

AWS Entertainment Open Source Benchmarking 38

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 220

Serverless Lambda Azure AWS 220

The Netflix TechBlog

AUGUST 13, 2020

We also highlight interesting broader events such as regional traffic evacuations and nearby deployments , information that is vital to understanding health holistically. Regional traffic evacuations. For example, a latency increase is less critical than error rate increase and some error codes are less critical than others.

Monitoring 221

Monitoring Tuning Traffic Metrics 221

Dynatrace

JULY 24, 2023

When a server experiences an outage, the system promptly triggers an alert and initiates actions like restarting a server or redirecting traffic to a redundant server. Change impact analysis is an indispensable process for effectively managing changes within an organization’s infrastructure and applications.

DevOps 231

DevOps Traffic Efficiency Servers 231

Dynatrace

MAY 17, 2023

The other sections on that page (such as Disk analysis) provide further information and charts on topics such as available disk space, latency, dropped network packets, refused connections, and more. Performance analysis covers the technical aspects of the service, such as error rates, geo-locations, XHR actions, and user-bot ratio.

Metrics 182

Metrics Database Monitoring Network 182

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 166

Software Software Programming Metrics 166

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).

Monitoring 216

Monitoring Social Media IoT Metrics 216

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 175

Cloud Traffic Best Practices Strategy 175

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

Dynatrace

JULY 18, 2023

Dynatrace provides automation for detecting problems, and you can opt to automatically run a change-impact analysis report to proactively validate important objectives. This same mechanism can also be leveraged to validate the impact of new software releases on resources, logs, performance, reliability, or business measures.

Best Practices 202

Best Practices Code Infrastructure Latency 202

The Netflix TechBlog

AUGUST 16, 2023

That’s a significant amount and certainly more than is necessary relative to the traffic on most clusters. More acutely, if a traffic spike occurs and Zuul instances scale up, it exponentially increases connections open to origins. There is effectively no churn of connections, even at peak traffic.

Traffic 180

Traffic Servers Google Metrics 180

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

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

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130

Metrics Monitoring Latency Cache 130

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 167

DZone

FEBRUARY 26, 2021

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 127

Performance Testing Testing Performance Latency 127

The Netflix TechBlog

NOVEMBER 2, 2021

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., Similar to chunk-based encoding , the VQS workflow consists of chunk-based quality calculations, followed by an assembly step. The workflow is initiated.

Media 180

Media Innovation Metrics Latency 180

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. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency.

Big Data 258

Big Data Government Processing Analytics 258

Percona

MARCH 20, 2023

Instead, an analysis needs to be done. In this case, we have a quite well-defined scenario that can resemble the image below: In this scenario, the proxies must sit inside Pods, balancing the incoming traffic from the Service LoadBalancer connecting with the active data nodes. Given that, there never was a single straight answer.

Games 126

Games Latency Traffic Cache 126

Randon ASCII

JANUARY 12, 2022

One benchmark I wrote measured the L2 cache latency. I don’t remember what the L2 cache latency was but do remember that the latency varied depending on which CPU core I ran it on. The L2 latency from CPU core 0 was pretty reliably four cycles lower than the L2 latency from CPU core 1 or 2. So, anyway. mm distance!

Cache 126

Cache Latency Benchmarking Hardware 126

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

Percona

DECEMBER 11, 2023

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. For write-only traffic, the QPS counters match the performance of standard RDS instances for lower thread counts, though, for higher counters, there is a drastic improvement.

AWS 104

AWS Benchmarking Performance Traffic 104

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 109

Performance Monitoring Traffic Database 109

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