Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric.

DevOps 200

DevOps Analytics Airlines Metrics 200

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. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

Monitoring 213

Monitoring Social Media IoT Metrics 213

Percona

NOVEMBER 3, 2023

xlarge 4vCPU 8GB-RAM Storage: EBS volume (root) 80GB gp2 (IOPS 240/3000) As well, high availability will be integrated, guaranteeing cluster viability in the case that one worker node goes down. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 105

Database Benchmarking Latency C++ 105

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. 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. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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. Dynatrace Managed Premium High Availability provides cost savings in terms of compute and storage allocations.

Availability 253

Availability Hardware Latency Traffic 253

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 211

Artificial Intelligence DevOps Hardware Virtualization 211

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Morning Paper

FEBRUARY 6, 2020

’ Stateless is fine until you need state, at which point the coarse-grained solutions offered by current platforms limit the kinds of application designs that work well. On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access.

Lambda 98

Lambda Serverless Cache Latency 98

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. About the environment Grafana: version 10.0.0 Grafana database backend: Prometheus version 2.15.2+d tps, lat 11.718 ms stddev 3.951 progress: 4440.0

Benchmarking 122

Benchmarking Metrics C++ Database 122

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. DigitalOcean Droplets. The most basic Droplet is their Standard instance which uses shared CPU starting at just $5/month.

Azure 187

Azure AWS Latency Database 187

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Morning Paper

SEPTEMBER 10, 2019

That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. to understand YouTube video performance) drive tens of thousands of canned (known in advance) queries per second, that need to be served with latency in the tens of milliseconds.

Analytics 75

Analytics Latency Cache Google 75

Percona

SEPTEMBER 1, 2023

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. These issues often arise from suboptimal query design, missing or ineffective indexes, or dealing with large datasets. A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

All Things Distributed

JUNE 21, 2018

Further, with the growth and scale of Amazon.com, boundless horizontal scale needed to be a key design point--scaling up simply wasn't an option. 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.

Database 167

Database AWS Games Latency 167

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. When we designed Amazon EFS we decided to build along the AWS principles: Elastic, scalable, highly available, consistent performance, secure, and cost-effective. The Amazon Elastic File System. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122

Percona

JULY 1, 2023

With its support for MySQL and PostgreSQL, and its automated replication and backup capabilities, it’s designed to deliver high performance, scalability, and availability to meet the needs of mission-critical applications. This eliminates the need for complex or scripted backup procedures and designated backup windows.

AWS 52

AWS Database Serverless Storage 52

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The Moto G4 , for example. Don't pay a lot for an Android-shaped muffler.

Performance 124

Performance Network Cache Metrics 124

The Morning Paper

MARCH 17, 2020

higher latency and lower bandwidth)… We have found the actual behavior of Optane DIMMs to be more complicated and nuanced than the "slower, persistent DRAM" label would suggest. The read latency for Optane is 2x-3x higher than DRAM. Optane DIMMs are here! Optane memory is also more pattern-dependent than DRAM.

Scalability 59

Scalability Latency Cache Media 59

The Morning Paper

OCTOBER 10, 2019

The foundation of Pinterest’s approach to learning embeddings is classification based, following the architecture described in ‘[Classification is a strong baseline for deep metric learning][ClassificationForDL].’ Binarization is the process of replacing e.g. a float-based value, with a binary value (i.e., The last word.

Latency 58

Latency Storage Architecture Traffic 58

O'Reilly Software

APRIL 30, 2018

When designing cloud architecture, it’s critical to consider that your applications could be affected by failures and that you must be prepared to respond to those failures quickly and effectively. Modern hybrid applications typically utilize public cloud components, including content delivery networks and cloud storage.

Cloud 68

Cloud Traffic Internet Internet 68

Adrian Cockcroft

NOVEMBER 11, 2019

Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. 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. Try to measure your mean time to respond (MTTR) for incidents.

Latency 52

Latency Engineering Systems Hardware 52

Highly Scalable

SEPTEMBER 18, 2012

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. Read/Write latency. Read/Write requests are processes with a minimal latency. Data Placement. Read/Write scalability.

Database 213

Database Latency C++ Scalability 213

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Adrian Cockcroft

NOVEMBER 11, 2019

Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. 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. Try to measure your mean time to respond (MTTR) for incidents.

Latency 53

Latency Engineering Systems Hardware 53

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Getting Ready: Planning And Metrics. Table Of Contents.

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. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Smashing Magazine

JANUARY 6, 2020

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Performance isn’t just a technical concern: it matters, and when baking it into the workflow, design decisions have to be informed by their performance implications. Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. Table Of Contents. Setting Realistic Goals. Defining The Environment. Build Optimizations.

Performance 104

Performance Cache Network Metrics 104

The Morning Paper

MAY 28, 2019

So it’s interesting to see a paper using nano-Joules per prediction as an evaluation metric. The resulting system can integrate seamlessly into a scikit-learn based development process, and dramatically reduces the total energy usage required for classification with very low latency. Introducing race logic. Performance evaluation.

Energy 52

Energy Hardware Efficiency Architecture 52

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.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Alex Russell

OCTOBER 22, 2017

This helps support executive sponsors who then have meaningful metrics to point to in justifying the investments being made. Very rarely have we seen a team succeed that doesn’t set budgets, gather RUM metrics, and carry representative customer devices. Teams with budgets also find it easier to track and graph progress.

Performance 68

Performance Benchmarking Network Mobile 68

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Alex Russell

APRIL 29, 2021

Another window into this question is provided by the Web Confluence Metrics project. Chrome has missed several APIs for 3+ years: Storage Access API. Apple's policy against browser engine choice adds years of delays beyond the (expected) delay of design iteration, specification authoring, and browser feature development.

Media 145

Media Games Education Engineering 145

Alex Russell

JULY 14, 2021

The benefits to apps that adopt WebView-based IABs are numerous: WebViews are system components designed for use within other apps. This reduces friction and commensurately increases "engagement" metrics. [6]. They do not place embedders in the background where the system may kill them to reclaim resources.

Google 121

Google Mobile Engineering Internet 121