Scalegrid

MARCH 28, 2024

can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130

Cache Storage Scalability Architecture 130

High Scalability

JANUARY 11, 2022

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. After that, the post gets added to the feed of all the followers in the columnar data storage. Sample Queries supported by Graph Database.

Design 334

Design Media Storage Logistics 334

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., In databases you probably know it as stored procedures. Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " SoCC’19. "Narrowing

Serverless 99

Serverless Storage Latency Cloud 99

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 Droplets.

Azure 187

Azure AWS Latency Database 187

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

The Morning Paper

OCTOBER 26, 2020

Helios: hyperscale indexing for the cloud & edge , Potharaju et al., Cloud-native systems represent by far the largest, most distributed, computing systems in our history. And the established cloud-native architectural principles behind them aren’t changing here. PVLDB’20. Emphasis mine ). Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

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. Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. What's changed ?

Storage 199

Storage Performance AWS Efficiency 199

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability.

Performance 123

Performance Hardware Tuning Storage 123

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

Percona

DECEMBER 11, 2023

Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables.

AWS 93

AWS Benchmarking Performance Traffic 93

Percona

MAY 1, 2023

Default settings can help you get started quickly – but they can also cost you performance and a higher cloud bill at the end of the month. This message is normally a side effect of a storage subsystem that is not capable of keeping up with the number of writes (e.g., Want to save money on your AWS RDS bill?

AWS 117

AWS Hardware Storage Tuning 117

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

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability platforms are becoming essential as the complexity of cloud-native architectures increases. A database could start executing a storage management process that consumes database server resources.

Artificial Intelligence 182

Artificial Intelligence Metrics Architecture DevOps 182

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

OCTOBER 19, 2020

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. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. VLDB’19.

Architecture 76

Architecture Cloud Storage Serverless 76

All Things Distributed

SEPTEMBER 25, 2012

Expanding the Cloud â?? 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).

Cloud 118

Cloud AWS Storage Database 118

O'Reilly Software

JUNE 12, 2018

The advent of the cloud was a huge boon to the work we were doing, as the improved automation made us even more productive. Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services. But I kept hitting up against some fundamental issues. And data was at the heart of the problem.

Database 72

Database Cache Architecture Latency 72

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

DECEMBER 21, 2018

What could be better than a book on the cloud? Explain the Cloud Like I'm 10. swardley: X : What's going to happen in cloud in 2019? 2) Cloud will decentralise in terms of provision not power i.e. Me : Nothing special. Do you like this sort of Stuff? Please support me on Patreon. I'd really appreciate it.

Internet 137

Internet Internet Scalability Serverless 137

All Things Distributed

MARCH 2, 2011

Expanding the Cloud - Introducing the AWS Asia Pacific (Tokyo) Region. Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. A local AWS Region enables companies to deploy a global cloud platform for their operations.

AWS 114

AWS Cloud Games Latency 114

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

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon EFS is a fully-managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 123

Lambda Cloud IoT AWS 123

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

All Things Distributed

OCTOBER 2, 2017

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

Internet 130

Internet Internet AWS Performance 130

Particular Software

AUGUST 16, 2021

which provides saga and outbox storage for NServiceBus endpoints that is transactionally consistent with the business data you store in Cosmos DB. Cosmos DB is the primary database service provided by Azure. But what does it mean for a NoSQL database to have an SQL API? This component was previously offered as a preview package.

Azure 52

Azure Serverless Storage Database 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. Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

JULY 13, 2010

Expanding the Cloud - Cluster Compute Instances for Amazon EC2. Today, Amazon Web Services took very an important step in unlocking the advantages of cloud computing for a very important application area. Unlocking the benefits of the cloud for the HPC community. Driving Storage Costs Down for AWS Customers. Comments ().

Cloud 119

Cloud AWS Automotive Latency 119

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency.

Scalability 131

Scalability Analytics Cache AWS 131

All Things Distributed

JUNE 21, 2017

As we said at the time, DynamoDB was a result of 15 years of learning in the area of large scale non-relational databases and cloud services. Based on this experience and learning, we built DynamoDB to be a fast, highly scalable NoSQL database to meet the needs of Internet-scale applications. Fully managed cache for DynamoDB.

Speed 123

Speed Cache Latency AWS 123

All Things Distributed

DECEMBER 5, 2010

Expanding the Cloud with DNS - Introducing Amazon Route 53. Amazon Route 53 sets itself apart from other DNS services that are being offered in several ways: A familiar cloud business model : A complete self-service environment with no sales people in the loop. Driving Storage Costs Down for AWS Customers. Comments ().

Cloud 117

Cloud Internet Internet AWS 117

Dynatrace

AUGUST 5, 2019

Across the board, the topics cloud migration, application modernization, breaking the monolith or hybrid cloud re-platforming have been a center point in many of our discussions with our joint enterprise customers. Database & functional migration. It covers these key areas: Technology & Dependency Analysis.

Cloud 31

Cloud Traffic Database Network 31

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

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Network latency. Database connectivity. Network Latency. Network latency can be affected due to. Database Connectivity. Present-day applications make more much use of the database. Connection time.

Monitoring 63

Monitoring Entertainment Hardware Latency 63