Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Cloud-hosted Kubernetes clusters are on par to overtake on-premises deployments in 2023.

Open Source 337

Open Source Java Operating System Programming 337

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 240

AWS Efficiency Azure Cloud 240

SQL Performance

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. These VMs are not available in all regions, so you will want to check the availability in the Azure region that you are interested in using. The L3 cache size is 64MB.

Azure 42

Azure Virtualization Storage Benchmarking 42

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

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Neal, Matt, and others from Windows Storage, Windows Azure Storage, Windows Hyper-V, … validating Windows behaviors. · Any storage device that can survive a power outage. Description.

Servers 90

Servers Media Cache Storage 90

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

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

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. First, you’ll need to install the libraries boto3 and django-storages.

Media 69

Media Cache Storage AWS 69

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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 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

Percona

MAY 2, 2023

Hence, the node would still be available for other operations. 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.

Best Practices 52

Best Practices Database Storage Servers 52

SQL Performance

OCTOBER 7, 2020

Its raison d’être is to cache result rows from a plan subtree, then replay those rows on subsequent iterations if any correlated loop parameters are unchanged. Table-valued functions use a table variable, which can be used to cache and replay results in suitable circumstances. Spools are the least costly way to cache partial results.

Servers 106

Servers Cache Azure Performance 106

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. Most of cloud object/blob storage services have native support for static site hosting. Eventually, we decided to move them to Jekyll.

Systems 63

Systems Cache Website Network 63

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. Autoscaling tiered cloud storage in Anna. Microsoft have been able to guarantee consistent 3 minute recovery times for 99.999% of recovery cases in production. Research papers. (In

Blockchain 46

Blockchain Hardware Google Analytics 46

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

Enprowess

JANUARY 12, 2022

So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. Blockchain technology is an encrypted database storage system.

Blockchain 59

Blockchain IoT Development Serverless 59