Unclaimed: Are are working at Microsoft Azure ?
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.
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Capabilities |
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Segment |
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Ease of use |
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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