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

O'Reilly Software

JUNE 12, 2018

Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services. The rationale was simple: the data I need is already in this other database, and accessing a database is easy, so I’ll just reach in and grab what I need. Well-defined interfaces are key, as is hiding information.

Database 72

Database Cache Architecture Latency 72

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

Smashing Magazine

SEPTEMBER 28, 2022

Developing software is becoming easier as frameworks like React, Vue, or Angular become the go-to solution for creating even the simplest applications. Because of this, Jamstack apps usually load faster, but it’s harder for developers to make dynamic content. Caching partially stores your data and is not used as permanent storage.

Cache 125

Cache Performance Servers Social Media 125

All Things Distributed

SEPTEMBER 25, 2012

Following the huge success of being able to provision a consistent, user-requested I/O rate for DynamoDB and Elastic Block Store (EBS), the AWS Database Services team has now released Provisioned IOPS, a new high performance storage option for the Amazon Relational Database Service (Amazon RDS). Provisioned IOPS storage in RDS.

Cloud 118

Cloud AWS Storage Database 118

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. So to test I took a system with Skylake CPUs and all storage on a P4800X SSD. In the recent MySQL 8.0.16

Testing 48

Testing Tuning Latency Storage 48

Scalegrid

JUNE 4, 2020

DigitalOcean is a cost-effective cloud provider that caters to, and is widely adopted by the developer community. ScaleGrid is a fully managed DBaaS that supports MySQL, PostgreSQL and Redis™, along with additional support for MongoDB® database and Greenplum® database. So, which database service is right for your application?

Database 230

Database Latency Benchmarking Performance 230

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. Monitoring tools should also be considered when setting up your Redis® database.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

DECEMBER 14, 2011

This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. The new Sao Paulo Region provides better latency to South America, which enables AWS customers to deliver higher performance services to their South American end-users.

AWS 115

AWS Latency Storage Big Data 115

InfoQ

JUNE 16, 2023

The event-driven architecture (EDA) can accommodate bursts in traffic in the multi-tenant platform with reasonable ingestion latency and acceptable operational costs. Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. By Rafal Gancarz

Architecture 55

Architecture Scalability Latency Traffic 55

VoltDB

JULY 10, 2018

In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database. Problem solved, right? Real-time inventory management.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database. Problem solved, right? Real-time inventory management.

Architecture 40

Architecture Scalability Ecommerce Latency 40

The Morning Paper

MARCH 10, 2020

Therefore, using the benchmarking results of YCSB as guidance for production might cause some misleading results… To address this issue, we propose a key-range based modelling and develop a benchmark that can better emulate the workloads of real-world key-value stores. It matters because RocksDB reads from storage in data blocks (e.g.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

All Things Distributed

JULY 13, 2010

Today, I am very proud to be a part of the Amazon Web Services team as we truly make HPC available as an on-demand commodity for every developer to use. There has been no easy way for developers to do this in Amazon EC2. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

Cloud 119

Cloud AWS Automotive Latency 119

All Things Distributed

JULY 11, 2011

As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. To get started using Spot or for more details visit the Amazon EC2 Spot Instance web page, the AWS developer blog , and the EC2 Release Notes. Contact Info.

AWS 87

AWS Storage Cloud Big Data 87

All Things Distributed

APRIL 28, 2010

There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. You can also find more information on the AWS developer blog. Driving Storage Costs Down for AWS Customers.

AWS 61

AWS Cloud Latency Storage 61

All Things Distributed

DECEMBER 5, 2010

Low-latency query resolution The query resolution functionality of Route 53 is based on anycast, which will route the request automatically to the DNS server that is the closest. This achieves very low-latency for queries which is crucial for the overall performance of internet applications. blog comments powered by Disqus.

Cloud 117

Cloud Internet Internet AWS 117

Percona

AUGUST 10, 2018

The performance of a PostgreSQL database can be compromised by dead tuples, since they continue to occupy space and can lead to bloat. Now, though, it’s time to look at autovacuum for postgres, and the internals you to know to maintain a high performance PostgreSQL database needed by demanding applications. Is this a problem ?

Tuning 44

Tuning Cache Database Storage 44

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

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. It’s a cross-platform document-oriented database that uses JSON-like documents with schema, and is leveraged broadly across startup apps up to enterprise-level businesses developing modern apps. DigitalOcean Advantages for MongoDB.

Azure 187

Azure AWS Latency Database 187

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. For more details on the AWS GovCloud (US) visit the Federal Government section of the AWS website and the posting on the AWS developer blog.

AWS 113

AWS Government Big Data Cloud 113

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

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Storage is a critical aspect to consider when working with cloud workloads. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? The answer for me is simple: Developers want their applications to be well architected and scale effectively. To do this, they need to be able to use multiple databases and data models within the same application. The opposite is true.

Database 167

Database AWS Games Latency 167

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Read/Write latency. Data Placement. System Coordination.

Database 213

Database Latency C++ Scalability 213

The Morning Paper

MARCH 3, 2020

Millions of tiny databases , Brooker et al., It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. Larger cells have better tolerance of tail latency (e.g.

Database 106

Database AWS Network Design 106

The Netflix TechBlog

OCTOBER 27, 2020

The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 243

Latency Storage Big Data Tuning 243

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

The Netflix TechBlog

MAY 14, 2021

Once you finally find useful identifiers, you may begin writing SQL queries against your production database to find out what went wrong. We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases.

Traffic 160

Traffic Latency Java Google 160

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. The popularity of MongoDB MongoDB has emerged as a popular database platform. 5 among all database management systems and No. It ranks No.

Open Source 74

Open Source Database Scalability Software 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

Dynatrace

DECEMBER 22, 2021

Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. What is observability?

Artificial Intelligence 180

Artificial Intelligence Metrics Architecture DevOps 180

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. 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. Enter graph databases.

Database 134

Database Logistics Availability Social Media 134

The Netflix TechBlog

NOVEMBER 2, 2021

Such coupling problems abound with our Reloaded architecture, and hence the Media Cloud Engineering and Encoding Technologies teams have been working together to develop a solution that addresses many of the concerns with our previous architecture. This enables us to use our scale to increase throughput and reduce latencies.

Media 171

Media Innovation Metrics Latency 171