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

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 110

Performance Latency Cache Virtualization 110

Scalegrid

JANUARY 8, 2024

Infrastructure Excellence ScaleGrid’s infrastructure is designed to facilitate hosting in your cloud account and provides cost-saving options with AWS or Azure Reserved Instances or GCP. Reducing Costs with Intelligent Automation Costs in cloud computing can be significantly reduced by automation, a key factor affecting cloud computing.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 52

Performance Latency Cache Virtualization 52

Scalegrid

JULY 8, 2019

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments. The Best Way to Host MySQL on Azure Cloud Click To Tweet.

Azure 219

Azure Cloud Virtualization Database 219

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. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

Smashing Magazine

NOVEMBER 8, 2018

Sharing Data Among Multiple Servers Through AWS S3. Sharing Data Among Multiple Servers Through AWS S3. After the file is uploaded to a server on step 1, the file must be available to whichever server handles the request for steps 2 and 3, which may or may not be the same one for step 1. Leonardo Losoviz.

AWS 44

AWS Servers Storage Cloud 44

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

Dynatrace

NOVEMBER 11, 2022

More organizations are adopting a hybrid IT environment, with data center and virtualized components. Therefore, they need an environment that offers scalable computing, storage, and networking. Instead of treating storage, server, compute, and network functions as separate entities, HCI virtualizes these resources.

Infrastructure 200

Infrastructure Storage Virtualization Network 200

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

NOVEMBER 3, 2022

Instead, enterprises manage individual containers on virtual machines (VMs). Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. IaaS provides direct access to compute resources such as servers, storage, and networks. CaaS vs. IaaS.

Serverless 218

Serverless Azure Hardware Transportation 218

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. Azure Lsv2 Details.

Azure 42

Azure Virtualization Storage Benchmarking 42

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. How does function as a service work?

Development 250

Development Serverless Best Practices Lambda 250

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. Microsoft is continually working on improving their products and Azure SQL Database is no different. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

Scalegrid

DECEMBER 16, 2019

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Advantages for MongoDB. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

Dynatrace

AUGUST 24, 2020

Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Dynatrace VMware and virtualization documentation . And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace.

Analytics 240

Analytics Infrastructure AWS Operating System 240

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. Another benefit is cost savings associated with server and data center setup and maintenance.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

AUGUST 24, 2020

Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Dynatrace VMware and virtualization documentation . And b ecause Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is a vailable to you with in Dynatrace. .

Analytics 135

Analytics Infrastructure AWS Operating System 135

SQL Server According to Bob

FEBRUARY 13, 2020

​​​​ Another example would be backup to Azure Storage using the rest interface to read and ​​ write data to/from Azure Blob Storage. ​​ Using the shared memory region, the data and events are exchanged between the client and server VDI instance pairing.

Servers 40

Servers Availability Transportation Database 40

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

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 When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits.

Open Source 40

Open Source DevOps AWS Azure 40

ScaleOut Software

AUGUST 19, 2014

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps. Deploying an IMDG in the Cloud.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps. Deploying an IMDG in the Cloud.

Cloud 40

Cloud Azure Virtualization Scalability 40