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. The Kubernetes experience.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

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

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. High Availability Deployment. Self-Managed MySQL.

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. 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

Testsigma

JULY 31, 2021

If you can manage infrastructure costs that include devices, machines, storage, etc., With a cloud-based testing tool, everything is virtual; you’ll save up a lot of costs. you can go for traditional software. Besides, the cloud is up and running 24×7, and you can automate or schedule tests at any time.

Mobile 52

Mobile Software Software Testing 52

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

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

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 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. Increased availability. But how does FaaS fit in?

Development 253

Development Serverless Best Practices Lambda 253

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

Smashing Magazine

NOVEMBER 8, 2018

When providing some functionality for processing a file uploaded by the user, the file must be available to the process throughout the execution. 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.

AWS 44

AWS Servers Storage Cloud 44

Dynatrace

AUGUST 24, 2020

And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. 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 .

Analytics 243

Analytics Infrastructure AWS Operating System 243

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Think of GCP as a suite, whereas GCF is a specialized service within it. Using GCF within a video analysis workflow.

Google 224

Google Cloud Serverless Azure 224

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. Starting with the Linux 4.18

Servers 90

Servers Media Cache Storage 90

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 . Further reading about infrastructure monitoring: . Explore and analyze Amazon CloudWatch synthetics data in Dynatrace .

Analytics 135

Analytics Infrastructure AWS Operating System 135

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. These technologies can answer questions, provide customer support, or even complete transactions.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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. The introduction of VDI also allowed for the proper split mirroring and snapshot backups such as in Microsoft Data Protection manager (DPM.)

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

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. It encompasses private clouds, the IaaS cloud—also host to virtual private clouds (VPC)—and the PaaS and SaaS clouds.

Cloud 141

Cloud Serverless AWS Architecture 141

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 Terraform's declarative nature makes this adaptation straightforward.‍Consider an example where a company is running multiple virtual machines (VMs) on a cloud provider.

Open Source 40

Open Source DevOps AWS Azure 40

Adrian Cockcroft

APRIL 5, 2023

The challenge is that accurate data isn’t available immediately, and cloud providers currently only provide monthly carbon data, with several months lag. There are also control plane overheads, shared storage volumes and supporting services to instrument.

Energy 52

Energy Metrics Cloud Operating System 52

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. Like the applications they serve, IMDGs are deployed as a cluster of cloud-hosted virtual servers that scales as the workload demands.

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. Like the applications they serve, IMDGs are deployed as a cluster of cloud-hosted virtual servers that scales as the workload demands.

Cloud 40

Cloud Azure Virtualization Scalability 40

Dynatrace

APRIL 8, 2019

As adoption rates for Azure continue to skyrocket, Dynatrace is developing a deeper integration with the Azure platform to provide even more value to organizations that run their businesses on Microsoft Azure or have Microsoft as a part of their multi-cloud strategy. Capture of complementary service metrics from Azure Monitor.

Azure 104

Azure Monitoring Serverless Virtualization 104