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Microsoft Azure Reviews: 4.3/5 — Solid Choice
Microsoft Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers. It provides a range of cloud services, including those for compute, analytics, storage, and networking, allowing users to pick and choose from these services to develop and scale new applications, or run existing applications, in the public cloud.
| Capabilities |
AI
API
CLI
|
|---|---|
| Segment |
Small Business
Mid Market
Enterprise
|
| Ease of use |
Advanced
|
| Deployment | Cloud / SaaS / Web-Based |
| Support | Chat, Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support |
| Training | Documentation, In Person, Live Online, Videos, Webinars |
| Languages | English |
Compare Microsoft Azure with other popular tools in the same category.
The performance of VM in azure is limit by size and type. OS disk and Data disk are attached to VM.
in some time you should resize the Vm for Better performance and the cost is increase.
Create VM to resolve Business Apps and some time Microsoft support this VM.
The feature I like more about SQL servers is JSON parsing to parse complex data. you can easily parse complex level attributes with a simple select query. easy to scale based on the load to consider the basic feature of cloud provider Pay-as-you-Go. full support of collation and integration with Azure AD helps to provide hand-in-hand security measures. Transparent data encryption helps to secure data over the network. Self-performance tuning advises end-user to add an index to provide better query performance. SQL pool enables the database to share compute power helps us critical application functionality more smoothly. easy option to provide access to on-prem users helps application developers to keep more focus on development rather than infrastructure.
not support of SSIS, which typically blocks more of the traditional developer to proceed with ease of re-using existing SSIS packages. polybase support is not with Azure SQL, we can't leverage to use massive data that resides on a Storage account. rest of all features are aligning and make developer's life easy.
reducing Deployment time for customer on-boarding. Elasticity in terms of space management, as per the customer demands and CPU utilization whenever there is a load on the database. easy to automate database backup and recovery for critical databases.
It is easy to use and set up. The subscription is charged per hour. You only pay for what you use. It has a very high disaster recovery rate.
I don't have any issues in particular. I am happy with the software.
Deploying my apps and files to cloud. Migrate virtual machines from on-site to cloud.
The setup and configuration is very easy, CIDR block config and overall maintenance effort is less. Node config options and autoscaling is flawless.
DNS and Load balancer configuration is limited. The Disk is not EBS type.
Scaling applications on demand. Building a polyglot application without having to set up multiple server types and leverage docker.
The following are the few features which I like the most about this product: - Securely stores your Docker Images since they are encrypted at rest and anyone who wants to pull it would need credentials of your instance - Easy to setup & provision in Azure Cloud - Supports High availability - Cost is really inexpensive compared to other options available in the market to store Docker Images
The following are the few features which I think could be improved about this product: - Documentation can be improved - Additional features such as scanning Docker Images for vulnerabilities should be added.
Azure Container Registry is used in my company to securely store the Docker Images of all the micro-services that are developed and deployed as part of our product. It secures your docker images since they are encrypted at rest and anyone who wants to pull it needs credentials of your instance.
The following are the few features which I like about this product: - This service offered by Azure is available in various sizes. - It is very easy to provision & use - Azure VMs are charged on hourly basis & you need to pay only for the time you use them. - Strong User community since this offering by Azure is widely used.
The following are the few features which I don't like about this product: - Cost of GPU based Azure Virtual Machines could be very expensive and small startups find it difficult to afford it. - Additional metrics should be added to track the GPU usage the way we can track CPU usage.
I use Azure Virtual Machines primarily for deploying our microservices as docker containers & offer our product to the customers. I also deploy various other softwares on Azure Virtual Machines along with docker containers. It plays the vital role and is the backbone of our product since all the components rely on Azure Virtual Machines.
speed, agility, performance, global presence, security and disaster recovery at scale.
One of the biggest issues that is seen with Azure is a change in the computing power that is available to the business. If you’re moving from on-premise servers to the cloud, you may find that your computing power does not move along with you. To generate the same levels of computing power on this cloud-based platform, you may find that the costs are several thousand dollars more per year than what you’re currently paying.
Reset your RDP connection. Verify Network Security Group rules. Review VM boot diagnostics. Reset the NIC for the VM. Check the VM Resource Health. Reset user credentials. Restart our VM. Redeploy our VM.
Adquire uma proporção muito interessante devido às suas principais funcionalidades, uma das quais é a inteligência artificial independente do sistema, atua obviamente de maneira virtual, seus discos gerenciados pelo Azure possuem excelentes operações de leitura e gravação, destacando que mantém um Elaboração estável de cada documento, cada máquina virtual é personalizada em relação à computação, rede e armazenamento, adaptando-se de maneira complexa, dependendo do sistema que corresponde à operação.
Ao fazer personalizações, apresenta uma dificuldade do sistema, o que a torna lenta, uma vez que essas modificações sistemáticas podem se tornar pesadas por sua capacidade estabelecida em sua programação digital, em certas opções de software principais, isso pode ser prejudicial devido a Isso pode alterar a rotina diária de trabalho, tornando-o lento ao entrar nessas configurações de seu próprio gosto para uma melhor qualidade de trabalho, o que gera que o conforto não é eficaz em pequenos usos do serviço que oferece, e é necessário fazer um reforço mais intuitivo.
Ele desempenha um papel muito interessante em nossa empresa, pois usamos essa inteligência artificial virtual para criar e implementar software em nosso departamento de inovação de design, mantendo dados muito importantes para novos projetos, exercitando seu conhecimento obtido principalmente da Web, em subordinados painéis para a execução de projetos necessários para nossa conveniência ou para nossos clientes fiéis, poderosos e exigentes, levando em consideração as limitações exatas de sua operação.
supporting microservcie and many coding lanaguage
management, and latency - here need to improve from MS
building applications and business logic with hybrid conenction
I save a lot of time, its very helpfull.evrrything is more clear for me, data analysis, objective are easier to follow
Mmmm I dont know I really love it, maybe sometimes I would like to Share it with friends and colleagues evrrything is more clear for me, data analysis, objective are easier to follow
I save time, and evrrything is more clear for me, data analysis, objective are easier to follow
Speed of tool is great. Scalability is awesome as you can make it work for any amount of data. Can process huge amounts of data in short amount of time.
Some connection issues at times but could be my internet connection. Do not really have any other issues besides that.
Large data storage, processing and querying of very large datasets.
Easy to deploy, Fast process, You'll have a running VM from the scratch in about 5 minutes. Tons of images to choose from, Linux, Microsoft and additional tools installed Sharepoint, Databases Oracle, SQL Server).
Nothing in particular, the process is quite straightforward. You'll be able een to automate deployment based on scripting (Powershell or Bash)
Proof of concept deployment with different OS versions and different configurations, unattended tasks and more
The functionality and features available for various deployments. The automatic compliance with GDPR and other security related regulations.
Impracticality of use due to heavy bandwidth requirements in some instances.
We currently use ASR (site recovery) in order to ensure business continuity and facilitate disaster recovery.
Que puedo creear maquinas virtuales, app de servicios, azure functions,Azure Kubernetes Service (AKS),Service Fabric,Service Fabric y Service Fabric
En el momento no he tenido incovenientes
los servicios y la funcionalidad de Azure al entorno que prefiera, desde el centro de datos hasta ubicaciones perimetrales y oficinas remotas, con Azure Stack. Cree, implemente y ejecute aplicaciones híbridas y de proceso perimetral de forma coherente en todo su ecosistema de TI, con flexibilidad para diversas cargas de trabajo.
Actually I was looking for cloud mainly VPS functions. I compared industry leading VPS service providers and Azure is my final solution. It's great, there are series of VMs; entry level to extreme level performance with multiple choices. I met my all requirements through place. There are major advantages, - Pricing - Scalability - Wide range of performance - Availability - Recoverability - Able to deploy in on-premises - Load balancing
There are no difficulties for my, as my experience
Overall experience is great. Because Azure is well fine-tuned, user friendly service, also service is good. I noticed couple of best features in Azure. - Azure DevOps - Virtual Machines - Azure Cosmos DB - Azure AD - API management - Azure CDN - Backup service - Site Recovery - Load balances - Azure bots
It took us little to no wait time before the application was installed and it started to work. Again, Azure Container Registry came up with more procedures all aiming at bringing information confidentiality to the people.
Connecting or submerging a dislike with Azure Container Registry is something that we all need to refute. In fact, Azure Container Registry is mistake free.
We get Azure Container Registry as one of the helping tool, that connects the registry needs, and those of a company. Also, ICT specialist get enough exposure on the way the world is executed.
Azure Virtual machines are supporting like original server and using its managing power full tool, we can experience like it is original physical machine held in our lab. having best experience to manage many host within host, so it is great power full platform.
Nothing to dislike yet, but need more attractive user friendly GUI.
Azure Virtual Machine helping to testing products on different environment with variant OS, and it is easy to manage multiple hosts on Azure Virtual Machines.
I like it because it shows that it is a reliable tool, in addition to being similar to other platforms that we have used, it facilitates its use, it works very well to store images of local machines, the use of keys is good, creating containers is also the simplest. We love its built-in security, it makes us feel safe while using it, it works smoothly until now, we hope to continue enjoying this service.
I have nothing to say, it just works and that's the important thing.
We are totally satisfied with this beautiful tool, we have used it for a while and it makes perfect sense because it adapts completely to our company, facilitating the registration of a container in a single interface, we solve problems, we implement container images, we store containers in a way private, we make automated compilations and also that it has other Azure services that we also use and are excellent.
Easiest to get machines up and running and provisioned.
Free from the start then fees. this requires a different approval.
We are not having issues. We have realized fast scale but haven't hit ridiculous scale yet so jury out.
Autoscaling is a feature where servers auomated and spin up through load. Types of loda with like batch instance percentage, with cpu percentage and auto rolling scaling parameters.
we dont have control on the servers it will delete last in first out format.
we have blocker with that deleting servers with azure wish we have clarified this with identity services
I like the fact that we can pay as we go in Azure SQL Database and also the easy way of setting up a database
Nothing to complain so far. Azure SQL Database is a great PAAS
Store data of a service desk system
The ease of use of this app added with absolutely amazing features like file upload and file copy between on-premises and Cloud, as well as between two azure storage accounts. Helps in mapping azure File shares on to machines as if they are normal on-premises shares.
Still needs improvement in features related to SQL data, relational databases.
Helps in moving data across different storage accounts with in azure as well as moving data between On-premises and Azure public cloud. or for that matter between VMs of different clouds.
Easy "folder-style" browse for BLOB storage in Azure Storage Account.
Sometimes, the upload process goes wrong.
Upload VHD from On-Prem to Azure in order to recreate a VM on cloud.
Easy to manage the Cloud Infrastructure in Microsoft Azure.
Maybe there are some limitations, like modify some deployment setting after the deployment.
Migrate VMs from On-Prem to Azure Cloud.
It’s helps me get information form database tables
You have to have your IP address added to each connection which is team consuming
Get a huge amount of data quickly
We've been using Azure SQL Database for a long time. It's the best PaaS offering for Microsoft SQL Server which features a 99.99% availability. You can leverage the 3 possible flavors of it - Managed Instances, Single, Elastic Pool. Managed Instance is basically the fully-featured SQL Server for the cloud where Single and Elastic Pool are more restricted(but performant) options. You can choose among a good variety of scalability options and service tiers. Azure SQL database implements Automatic performance tuning, built-in backups, and integration with Azure Active Directory.
I would love it if it becomes a little more transparent in terms of Dynamic Management Views, advanced features and integration with SQL Server Profiler (although it's announced as legacy).
We have been using Azure SQL Database in almost every solution we are involved in. Typically it's used for the persistence of the core application data. Some solutions that employ the microservices architecture need more than one Azure SQL Database to store its information.
Easy to use, and operate successfully it's a great tool for all
Nothing really it's a great tool to add to your toolbox for sure
keeping business orders afloat, and workers in order
The ease of use and the ability to provision faster than any other solution in the market
Pricing could be much cheaper and provide more options
Simple to use and much secure than physical drive options
Running Virtual Machines on cloud using Microsoft Azure impressed me a lot. I was a little bit cetic about performance when running cloud environments, but it was really good on Azure. I/O performance is fair, even using mechanical HD's on VM's (because they are cheapper), performance are pretty much equivalend to a real mechanic HD. And its pretty cheap. You can pick vm's with 4 cores and a decent amount of RAM for a fair price.
I can't really remember something i dislike about it. Everything worked well and without any problems. The environment is very stable.
Cloud Environments, Virtual Machine, Cloud Computing
Geo redundant, low cost, REST based. Easy to set up automated backup plans to ensure off site off line resiliency.
Sometimes large backups have IO errors when writing to blob storage
Data resiliency