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

Dynatrace

OCTOBER 15, 2021

OpenTelemetry reference architecture. The data is incredibly plentiful and difficult to store over long periods due to capacity limitations — a reason why private and public cloud storage services have been a boon to DevOps teams. This occurs once data is safely stored within a local cache. Source: OpenTelemetry Documentation.

Open Source 218

Open Source Metrics Cloud Transportation 218

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]. In Netflix the microservice architecture is widely adopted and each microservice typically handles only one type of data. Deal Service, Talent Service and Vendor Service).

Transportation 192

Transportation Architecture Processing Storage 192

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 127

AWS Monitoring Ecommerce Lambda 127

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Smashing Magazine

NOVEMBER 2, 2021

On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. Due to the use of modern frameworks, advanced caching and rendering, and data transmission via API, properly developed PWAs can be a seven-league step up to boost the store’s speed. Large preview ).

Code 74

Code Cache Retail Mobile 74

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. Contractors could presumably offer UPDATE.

Blockchain 94

Blockchain Internet Internet IoT 94

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 279

Serverless AWS Lambda Storage 279

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

DECEMBER 5, 2010

While registrars manage the namespace in the DNS naming architecture, DNS servers are used to provide the mapping between names and the addresses used to identify an access point. There are two main types of DNS servers: authoritative servers and caching resolvers. Driving Storage Costs Down for AWS Customers. Syndication.

Cloud 117

Cloud Internet Internet AWS 117

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 109

Availability Database Open Source Hardware 109

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

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

The Netflix TechBlog

MARCH 7, 2023

There are many naive solutions possible for this problem for example: Write different runs in different databases. Instead our challenge was to implement this feature on top of Cassandra and ElasticSearch databases because that’s what Marken uses. Marken Architecture Marken’s architecture diagram is as follows.

Media 264

Media Latency Architecture Database 264

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

Percona

APRIL 7, 2023

I’ve used a fourth instance to host a PMM server to monitor servers A and B and used the data collected by the PMM agents installed on the database servers to compare performance. That’s a heritage of the LAMP model when the same server would host both the database and the web server.

Tuning 137

Tuning Cache Servers Benchmarking 137

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 77

Open Source Database Scalability Software 77

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. Normally this solution requires a full code redesign and could be quite difficult to achieve when it is injected after the initial code architecture definition.

Traffic 125

Traffic Scalability Database Servers 125

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Lambda 98

Lambda Serverless Cache Latency 98

Smashing Magazine

DECEMBER 23, 2020

The service workers enable the offline usage of the PWA by fetching cached data or informing the user about the absence of an Internet connection. Application shell architecture. When developing a PWA, you can cache the application shell’s resources and assets in the browser. Cached content with IndexedDB.

Cache 124

Cache Internet Internet Google 124

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

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. Spoiler alert: This post focuses on MongoDB 3.6.X

Best Practices 52

Best Practices Design Tuning Database 52

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. Oh, you mean a cache? Yes, a bit like those 2nd-level caches we were talking about earlier, e.g. Ehcache from 2003 onwards.

Cache 79

Cache Latency Google Lambda 79

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper. Why do we need a new reference architecture?

Cloud 104

Cloud Big Data Latency Architecture 104

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. So, the only way was to cache all necessary data to minimize interaction with RDBMS.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

All Things Distributed

APRIL 27, 2011

Look inside a current textbook on software architecture, and youll find few patterns that we dont apply at Amazon. Service-oriented architecture -- or SOA -- is the fundamental building abstraction for Amazon technologies. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

Technology 151

Technology Technology AWS Storage 151

The Morning Paper

SEPTEMBER 10, 2019

In this write-up we’ll look at some of the high-level architectural principles, and then I’m going to cherry-pick details relating to how Procella achieves its performance, latency, and data freshness goals. Cache all the things. Procella employs multiple caches to mitigate this networking penalty. Procella system overview.

Analytics 75

Analytics Latency Cache Google 75

Smashing Magazine

JUNE 25, 2020

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. Part 3 : Models, Admin, And Harnessing The Relational Database. Definitions.

Media 69

Media Cache Storage AWS 69

Abhishek Tiwari

DECEMBER 27, 2017

ETL is a product of the relational database era and it has not evolved much in last decade. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. Event-driven data flow architecture.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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

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

IO River

NOVEMBER 2, 2023

When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach.Â

Open Source 52

Open Source DevOps AWS Azure 52

IO River

NOVEMBER 2, 2023

When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach.

Open Source 40

Open Source DevOps AWS Azure 40