ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 104

Availability Database Open Source Hardware 104

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

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. The basic tier provides up to 5 DTUs with standard storage. HyperScale Database. DTU Pricing Tier.

Azure 55

Azure Database Serverless Hardware 55

All Things Distributed

APRIL 27, 2011

The Amazon.com 2010 Shareholder Letter Focusses on Technology. In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. Given that I have frequently written about many of these technologies on this blog I asked investor relations to be allowed to reprint it here.

Technology 151

Technology Technology AWS Storage 151

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. 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. You’re also not certain its features will always align with your evolving technology needs. 5 among all database management systems and No.

Open Source 74

Open Source Database Scalability Software 74

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. Werner Vogels weblog on building scalable and robust distributed systems.

Scalability 167

Scalability Database Ecommerce Latency 167

Dynatrace

OCTOBER 15, 2021

These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. In fact, these technologies have become so prevalent that anybody who may not know the full scope of the topic may be afraid to ask.

Open Source 224

Open Source Metrics Cloud Transportation 224

Percona

MAY 15, 2023

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it must respect the RDBMS rules. In shard-nothing, each shard can live in a totally separate logical schema instance / physical database server/data center/continent. The POC Why this POC?

Traffic 121

Traffic Scalability Database Servers 121

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. Microsoft SQL Server Database Engine Input/Output Requirements. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system.

Servers 90

Servers Media Cache Storage 90

Percona

JULY 5, 2023

Fragmentation is a common concern in some database systems. In databases, we can experiment with different types of fragmentation: Segment Fragmentation : segments are fragmented; they are stored not following the order of data, or there are empty pages gaps between the data pages. What is fragmentation?

Open Source 123

Open Source Database Efficiency Testing 123

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

All Things Distributed

AUGUST 22, 2011

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. Driving Storage Costs Down for AWS Customers.

Cloud 117

Cloud Cache AWS Storage 117

Dynatrace

SEPTEMBER 17, 2019

Their technology stack looks like this: Spring Boot-based Microservices. PostgreSQL & Elastic for data storage. REDIS for caching. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. NGINX as an API Gateway. 2 Validate Configuration.

AWS 128

AWS Monitoring Ecommerce Lambda 128

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

The Netflix TechBlog

OCTOBER 15, 2019

caching (Memcached etc.), Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3]. No need to acquire locks on tables, which is essential to ensure that the write traffic on the database is never blocked by our service.

Transportation 192

Transportation Architecture Processing Storage 192

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

All Things Distributed

AUGUST 17, 2011

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. My templates and blog posts are now located in DropBox and thus locally cached at each machine I use. Driving Storage Costs Down for AWS Customers.

Servers 126

Servers Social Media AWS Website 126

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. Coordinators that don’t want to pay contractors?

Blockchain 94

Blockchain Internet Internet IoT 94

Enprowess

JANUARY 12, 2022

Voice Search Technology. Blockchain Technology. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. A Progressive web applications (PWA) are the latest trends in website development, built using standard web technologies like HTML and JavaScript. AI-powered Chatbots.

Blockchain 59

Blockchain IoT Development Serverless 59

All Things Distributed

DECEMBER 5, 2010

There are two main types of DNS servers: authoritative servers and caching resolvers. But the real robustness of the DNS system comes through the way lookups are handled, which is what caching resolvers do. Caching techniques ensure that the DNS system doesnt get overloaded with queries. Syndication. Subscribe to this weblogs.

Cloud 117

Cloud Internet Internet AWS 117

SQL Server According to Bob

JANUARY 11, 2020

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? KB boundary   12 Larger transaction logs   13 Restore and attach   14 Format for 4 ?KB

Servers 40

Servers Cache Database Media 40

Smashing Magazine

NOVEMBER 2, 2021

Application leaders for digital commerce technologies must plan for PWAs when designing digital commerce experiences”. Numerous big players have considered such an opinion and have recently implemented this technology. These multiple “heads” are attached to the backend and database. Image credit: Apivita. Large preview ).

Code 74

Code Cache Retail Mobile 74

Alex Russell

MARCH 6, 2021

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 fastest Androids predictably remain 18-24 months behind, owing to cheapskate choices about cache sizing by Qualcomm, Samsung Semi, and all the rest. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

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. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 7, 2019

The idea is quite straightforward: Push the minimal code needed to get interactive for the initial route to render quickly, then use service worker for caching and pre-caching resources and then lazy-load routes that you need, asynchronously. An application shell is the minimal HTML, CSS, and JavaScript powering a user interface.

Performance 103

Performance Cache Metrics Network 103

Smashing Magazine

JANUARY 6, 2020

The idea is quite straightforward: Push the minimal code needed to get interactive for the initial route to render quickly, then use service worker for caching and pre-caching resources and then lazy-load routes that you need, asynchronously. An application shell is the minimal HTML, CSS, and JavaScript powering a user interface.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 15, 2019

The Green Web Foundation maintains an ever-growing database of web hosts who are either wholly powered by renewable energy or are at least committed to being carbon neutral. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. These include data transfer (i.e.

Website Performance 73

Website Performance Website Energy Performance 73

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. Likewise, it must be easy to remove IMDG servers when the workload decreases and creates excess capacity.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. Likewise, it must be easy to remove IMDG servers when the workload decreases and creates excess capacity.

Cloud 40

Cloud Azure Virtualization Scalability 40

Particular Software

MAY 22, 2023

For example, you might need the data to be denormalized for performance, or the warehouse data might exist on a physically different system that can’t participate in a database join. From a technical perspective, attributes that change together should also be cached similarly. It gets worse.

Systems 98

Systems Cache Strategy Database 98