Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. This network connection heterogeneity made choosing a single delivery model difficult.

Systems 334

Systems Traffic Architecture Mobile 334

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. HyperScale Database. Hyperscale databases are provisioned using vCores. DTU Pricing Tier.

Azure 55

Azure Database Serverless Hardware 55

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 213

Latency Traffic Transportation Hardware 213

All Things Distributed

AUGUST 20, 2015

It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. Traditionally, these connections have been stored in relational databases, with each object type requiring its own table. Enter graph databases.

Database 134

Database Logistics Availability Social Media 134

All Things Distributed

OCTOBER 25, 2013

In the back to basics readings this week I am re-reading a paper from 1995 about the work that I did together with Thorsten on solving the problem of end-to-end low-latency communication on high-speed networks. The lack of low-latency made that distributed systems (e.g.

Network 96

Network Latency Operating System Speed 96

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. A new record entering a database table.

Lambda 184

Lambda AWS Serverless Hardware 184

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions? Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems.

Strategy 130

Strategy Cloud Government Innovation 130

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. have adopted Kubernetes.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Azure Virtual Network Gateways. Azure Batch.

Azure 150

Azure Cloud Big Data Virtualization 150

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. Each of these findings poses opportunities for future work to explore specific architectural tradeoffs further.

Architecture 76

Architecture Cloud Storage Serverless 76

IO River

NOVEMBER 2, 2023

This is where Content Delivery Networks (CDNs) come into play. Content Delivery Networks (CDNs), web browsers, and proxy servers can store static files in their caches. It requires expertise in server-side scripting languages, database management, and integration with content management systems or APIs.

Cache 52

Cache Social Media Website Performance Website 52

Dotcom-Montior

NOVEMBER 24, 2021

There was a time when standing up a website or application was simple and straightforward and not the complex networks they are today. Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? Gone are the days of monolithic architecture.

Systems 74

Systems Monitoring Hardware Network 74

High Scalability

SEPTEMBER 8, 2018

New databases used to be announced seemingly every week. While database neogenesis has slowed down considerably, it has not gone necrotic. To meet user-defined goals for performance (request latency) and cost, the monitoring service tracks and adjusts resources to workload changes.

Storage 199

Storage Performance AWS Efficiency 199

Smashing Magazine

SEPTEMBER 28, 2022

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. It essentially describes the lifetime of each file you download to load your page from the network. You can see this by opening your browser and looking in the Networking tab.

Cache 126

Cache Performance Servers Social Media 126

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. 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.

IoT 78

IoT Analytics Big Data Architecture 78

IO River

NOVEMBER 2, 2023

This is where Content Delivery Networks (CDNs) come into play. Content Delivery Networks (CDNs), web browsers, and proxy servers can store static files in their caches. It requires expertise in server-side scripting languages, database management, and integration with content management systems or APIs.

Cache 52

Cache Social Media Website Performance Website 52

The Netflix TechBlog

SEPTEMBER 3, 2021

Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. If the service knows which fields are important for the caller, it can make an informed decision about making expensive calls, starting resource-heavy computations, and/or calling the database.

Design 245

Design Java Efficiency Code 245

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. The network latency of fetching data over the network, even considering fast data center networks. Who knew! ;).

Cache 79

Cache Latency Google Lambda 79

Dynatrace

SEPTEMBER 30, 2021

This can dramatically decrease network latency and its effect on the end-user experience. Because cloud architectures are more distributed and dynamic resources come and go as needed, performance can be varied. Migrate databases intelligently. As a result, organizations are seeing improved availability and performance.

Cloud 169

Cloud Traffic Best Practices Strategy 169

The Netflix TechBlog

DECEMBER 21, 2020

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Transparency to end-users.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Morning Paper

FEBRUARY 6, 2020

On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access. The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated.

Lambda 98

Lambda Serverless Cache Latency 98

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The Linux default is usually 60 , which is not ideal for database usage. The CFQ works well for many general use cases but lacks latency guarantees.

Best Practices 52

Best Practices Design Tuning Database 52

All Things Distributed

NOVEMBER 26, 2013

and enable you to maintain a nearly up-to-date copy of your master database in a different AWS Region. Amazon RDS offers a monthly uptime percentage SLA of 99.95% per Multi-AZ database instance. Cross Region Read Replicas are available for MySQL 5.6

Cloud 145

Cloud AWS Traffic Latency 145

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

Smashing Magazine

AUGUST 3, 2023

You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side. You need to beware of large HTML files or slow network connections because they can lead to longer download times.

Performance 74

Performance Cache Traffic Metrics 74

All Things Distributed

SEPTEMBER 3, 2013

Today, we added two important choices for customers running high performance apps in the cloud: support for Redis in Amazon ElastiCache and a new high memory database instance (db.cr1.8xlarge) for Amazon RDS. No single database architecture or solution can meet all of Amazon.com’s or our customers’ needs.

Cache 129

Cache Cloud Performance Retail 129

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency.

Performance 86

Performance Latency Metrics Engineering 86

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

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 Morning Paper

JANUARY 26, 2020

Second, Reverb enables speculative bug fix analysis … Third, Reverb supports wide-area debugging for applications whose server-side components use event-driven architectures. If the edit creates a new, unlogged network request, then the replay framework must inject new network events into the log. The problem.

Programming 86

Programming Servers Network Latency 86

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

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. Market participants. web pages).

Blockchain 94

Blockchain Internet Internet IoT 94

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

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

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well.

AWS 136

AWS Latency Programming Architecture 136