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

High Scalability

OCTOBER 3, 2019

ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions.

Azure 23

Azure Cloud Open Source Cache 23

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started ‍Terraform is a revolution in the way we handle infrastructure.

Open Source 52

Open Source DevOps AWS Azure 52

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Disk based caching. Hybrid Sync. Offline access.

Architecture 52

Architecture Cache Azure Storage 52

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A Businesses can adjust configurations to manage everything from basic distribution settings to intricate geo-targeted content caching and delivery strategies, all with the same ease.‍‍2.

Open Source 40

Open Source DevOps AWS Azure 40

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. However, its tooling for handling static assets and media files is not, in my opinion, well-suited for production on scalable sites. Client-Side Caching.

Media 69

Media Cache Storage AWS 69

Dynatrace

SEPTEMBER 17, 2019

REDIS for caching. If you’re an IT or cloud administrator, make sure to check out Dynatrace’s capabilities on monitoring k8s clusters , AWS , VMWare , OpenStack , Azure , Google GCP , OpenShift , CloudFoundry. Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway. 3 Log Analytics.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Abhishek Tiwari

NOVEMBER 3, 2018

Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there. Using JAMstack delivers better performance, higher scalability with less cost, and overall a better developer experience as well as user experience.

Systems 63

Systems Cache Website Network 63

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. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

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. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

Cloud 40

Cloud Azure Virtualization Scalability 40

The Morning Paper

SEPTEMBER 19, 2019

Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Unifying consensus and atomic commit looks at the advantages of combining scalability (consensus) and fault-tolerant mechanisms into one unified protocol.

Blockchain 46

Blockchain Hardware Google Analytics 46

Percona

MAY 2, 2023

Cons of logical backups As it reads all data, it can be slow and will require disk reads too for databases that are larger than the RAM available for the WT cache—the WT cache pressure increases, which slows down the performance. Hence, the node would still be available for other operations.

Best Practices 52

Best Practices Database Storage Servers 52

Enprowess

JANUARY 12, 2022

So it is convenient for all to use irrespective of internet speed and it works offline using cached data. IBM OpenWhisk, Microsoft Azure, AWS Lambda, and Google Cloud Functions are famous names that provide server-less services. Offline Support : SPA consumes less bandwidth; meanwhile, it loads pages once only. Image Source.

Blockchain 59

Blockchain IoT Development Serverless 59