Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 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

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 52

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Latency 181

Latency Website Traffic Virtualization 181

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Latency Website Virtualization 173

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

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. This separation aims to streamline transaction write logging, improving efficiency and consistency. Who can benefit from DLV? and later v10 versions MySQL: 8.0.28

AWS 93

AWS Benchmarking Performance Traffic 93

Adrian Cockcroft

APRIL 18, 2018

This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads. For efficiency it is common to co-locate a monitoring system with the infrastructure, in the same datacenter or cloud region, but that sets up common dependencies that could cause both to fail together.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. Edgar captures 100% of interesting traces , as opposed to sampling a small fixed percentage of traffic. by Elizabeth Carretto Everyone loves Unsolved Mysteries.

Latency 296

Latency Transportation Engineering Traffic 296

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 105

Storage Network Open Source Latency 105

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This opens up possibilities not only difficult but almost impossible to attain conventionally!

Cloud 130

Cloud Virtualization Storage Efficiency 130

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Fundamentally, internet traffic can be broadly categorized into static and dynamic content.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Fundamentally, internet traffic can be broadly categorized into static and dynamic content.Â

Architecture 52

Architecture Performance Internet Internet 52

Percona

MAY 15, 2023

This operation is quite expensive but our database can run it in a few milliseconds or less, thanks to several optimizations that allow the node to execute most of them in memory with no or little access to mass storage. It will also allow us to redirect read/write traffic to the primary and read-only traffic to all secondaries.

Traffic 121

Traffic Scalability Database Servers 121

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., Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient. VQS is called using the measureQuality endpoint.

Media 171

Media Innovation Metrics Latency 171

O'Reilly Software

APRIL 30, 2018

Harnessing DNS for traffic steering, load balancing, and intelligent response. As applications have moved from local data centers to the public cloud, the role of DNS has expanded to the current role of a sophisticated director, controlling global and site load balancing, traffic steering, and providing intelligent response to user requests.

Cloud 68

Cloud Traffic Internet Internet 68

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best.

AWS 52

AWS Database Serverless Storage 52

All Things Distributed

DECEMBER 12, 2018

They can run applications in Sweden, serve end users across the Nordics with lower latency, and leverage advanced technologies such as containers, serverless computing, and more. Vivino also uses Auto Scaling to deal with the large seasonal fluctuations in traffic. Telenor Connexion. Telenor Connexion is all-in on AWS.

AWS 124

AWS Cloud Games Serverless 124

The Morning Paper

OCTOBER 10, 2019

By consolidating multiple single models into one multi-task model, previous works have seen both efficiency and performance improvements on each task due to the inherent complementary structure that exists in separate visual tasks. Model architecture. Binarization is the process of replacing e.g. a float-based value, with a binary value (i.e.,

Latency 58

Latency Storage Architecture Traffic 58

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

All Things Distributed

MARCH 11, 2016

This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. If customers have many tiny files, then storage and bandwidth don’t amount to much even if they are making millions of requests.

AWS 147

AWS Hardware Retail Virtualization 147

All Things Distributed

JANUARY 18, 2012

s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. The growth of Amazonâ??s

Scalability 167

Scalability Database Ecommerce Latency 167

Highly Scalable

MAY 1, 2012

This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. There is a system that monitors traffic and counts unique visitors for different criteria (visited site, geography, etc.) A group of several such sketches can be used to process range query. bits per unique value.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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

Abhishek Tiwari

NOVEMBER 3, 2018

You should expect one-time implementation cost (depending CMS and business requirements it can cost 200,000 USD to 3M USD) and yearly hosting infrastructure cost (proportional to load and traffic but typically 30,000 USD - 300,000 USD per year). Most of cloud object/blob storage services have native support for static site hosting.

Systems 63

Systems Cache Website Network 63

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. However, it can lead to the storage of redundant data and make it more difficult to maintain data consistency.

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

AUGUST 5, 2019

Resource consumption & traffic analysis. What is the network traffic going to be between services we migrate and those that have to stay in the current data center? How much traffic is sent between two processes hosting a certain service? Step 3: Detailed Traffic Dependency Analysis. What’s in your stack?”.

Cloud 31

Cloud Traffic Database Network 31

Alex Russell

JULY 14, 2021

Meanwhile, on Android, the #2 and #3 sources of web traffic do not respect browser choice. On Android today and early iOS versions, WebViews allow embedders to observe and modify all network traffic (regardless of encryption). Users can have any browser with any engine they like, but it's unlikely to be used. How can that be?

Google 121

Google Mobile Engineering Internet 121

Alex Russell

OCTOBER 22, 2017

Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us. It simulates a link with a 400ms RTT and 400-600Kbps of throughput (plus latency variability and simulated packet loss).

Performance 68

Performance Benchmarking Network Mobile 68

Brendan Gregg

SEPTEMBER 5, 2017

. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. Here's some output from my zfsdist tool, in bcc/BPF, which measures ZFS latency as a histogram on Linux: # zfsdist. Tracing ZFS operation latency. Hit Ctrl-C to end. ^C

Virtualization 76

Virtualization AWS Engineering Hardware 76

Smashing Magazine

JANUARY 11, 2021

CrUX generates an overview of performance distributions over time, with traffic collected from Google Chrome users. But account for the different types and usage behaviors of your customers (which Tobias Baldauf called cadence and cohorts ), along with bot traffic and seasonality effects. You can create your own on Chrome UX Dashboard.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 7, 2019

For Mac OS, we can use Network Link Conditioner , for Windows Windows Traffic Shaper , for Linux netem , and for FreeBSD dummynet. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. In exchange, your team gains maintainability and developer efficiency, of course.

Performance 103

Performance Cache Metrics Network 103

Smashing Magazine

JANUARY 6, 2020

For Mac OS, we can use Network Link Conditioner , for Windows Windows Traffic Shaper , for Linux netem , and for FreeBSD dummynet. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. In exchange, your team gains maintainability and developer efficiency, of course.

Performance 145

Performance Cache Network Metrics 145