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

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. In order to filter these dashboards by tenant all they need is a Dynatrace Management Zone , which is based on meta data extracted by Dynatrace from e.g. k8s tags, container labels or process environment variables. NGINX as an API Gateway. 3 Log Analytics.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] , Apr 2018 [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] , Nov 2020 [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] , Jul 2020 [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 52

Performance Latency Cache Virtualization 52

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. Massively parallel processing. Query language.

Artificial Intelligence 209

Artificial Intelligence Storage Analytics Government 209

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. " Query execution.

Processing 72

Processing Hardware Database Azure 72

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

JULY 20, 2018

That means multiple data indirections mean multiple cache misses. jaybo_nomad : The Allen Institute for Brain Science is in the process of imaging 1 cubic mm of mouse visual cortex using TEM at a resolution of 4nm per pixel. The third wing of the architecture piece is the “domain specific system-on-chip.”

Internet 121

Internet Internet Scalability Automotive 121

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

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. Especially if going into or out of storage types that may throttle bandwidth/network traffic.

Best Practices 52

Best Practices Database Storage Servers 52

Abhishek Tiwari

NOVEMBER 3, 2018

Unfortunately, to make it worse most of the CMS deals are managed by marketing and digital functions of the organisation, and in my own experience, these functions are often not equipped to ask hard and right questions during the CMS selection process. Most of cloud object/blob storage services have native support for static site hosting.

Systems 63

Systems Cache Website Network 63

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 It takes away the manual process of checking logs and monitoring dashboards, giving your team more time to focus on creating value.

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. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. This process is easy to integrate with your Django deployment scripts.

Media 69

Media Cache Storage AWS 69

SQL Server According to Bob

MAY 19, 2019

SQL Server will ship Azure SQL Database Edge: [link]. For example, Azure SQL Database Edge can already use TSQL Predict Machine Learning (ML) and Column Storage. Ghost record cleanup can occur inline with the query execution or be queued to a background task for processing. IO Request Caches. Lock Manager.

IoT 61

IoT Servers Development Cache 61

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. It handles an order of magnitude more throughput than a prototype built on a stream processing engine. Research papers. (In

Blockchain 46

Blockchain Hardware Google Analytics 46

Enprowess

JANUARY 12, 2022

So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. Blockchain technology is an encrypted database storage system. Famous PWA Use Examples. Image Source.

Blockchain 59

Blockchain IoT Development Serverless 59

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

High Scalability

NOVEMBER 25, 2019

Your Laptop has a filesystem used by hundreds of processes. 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. On prem data processing. Edge caching. Optimize on prem cold storage cost.

Architecture 52

Architecture Cache Azure Storage 52