Microsoft Azure Reviews

The performance of Azure DevOps services is really impressive. It really demonstrates the value of the service. 

We've had a good experience with their technical support. They are always available when needed.

I haven't been involved with continuous integration and continuous delivery (CI/CD) services, but I hope there will be more training sessions for them. Other companies and platforms provide technical webinars and training on their websites. 

I wish I could learn more about CI/CD, but the resources aren't readily available. I haven't been able to find webinars or training sessions. Maybe I'm not searching correctly, or the information isn't presented clearly.

The price should be lower. My company used the demo product because of the cost. Price is an important point for all clients and companies who want to obtain this solution.

I also have a question: what about review platforms for forensic technology? Is there a way to integrate these platforms with Azure? It would be great to have a web-based review platform integrated with Azure. Currently, we use a third-party software to launch this review platform.  Is there any way to review documents within a web-based solution in Azure? This is something I wonder about.

I've used Azure for a year and a half, specifically for DevOps services. Unfortunately, I worked with a demo product, as the company couldn't purchase the actual product. I mainly used Azure DevOps repos and some basic concepts like Azure state plans.

Azure solutions are stable. Many companies find clients who want the solutions because of the stability and high performance.

It's a good solution for small or medium-sized businesses.

The setup is very straightforward. The Azure services and platform for storage are easy to understand, with clear steps. It's easy for any user to install services on the platform.

I haven't had any issues with integrating Azure services. We use the integration services with Azure with a very intuitive UI. So, I didn't face any issues while integrating Azure services.

I would rate it an eight out of ten. There are a lot of benefits. The integration options for all services are great.

I use Microsoft Azure for a variety of applications, including medical software, IV systems, and repair projects. It is great for BI tasks, helping me analyze data and generate insights. I have also used Azure for hosting various events and managing different projects efficiently.

The most valuable features of Azure for me are its ease of management, recoverable virtual machines with backup support, excellent customer support, and user-friendly interface. It allows me to do a lot on my own and provides a comprehensive cloud solution.

From an operations perspective, I find Azure portal, user management with Active Directory, and Azure DevOps to be the most valuable services. They make it easy to manage projects, user access, and administrative tasks efficiently.

While Azure continually improves its services, one area for enhancement could be in the realm of big data and unstructured data storage. Although I haven't explored this aspect extensively, focusing on improving offerings in this area could benefit users who rely on such data storage solutions.

I have been working with Microsoft Azure for almost six years.

I have not had any stability issues with Azure.

Azure's scalability, including features like Azure Elastic for searches, has had a significant impact on my project. It has improved performance, even with large volumes of data. In our organization, which has over 200 technical resources, more than 20 people work with Azure across various projects and clients.

Azure's support is responsive and helpful, making it easier to navigate any challenges. I would rate them at a nine out of ten.

Positive

Setting up Azure initially can sometimes require assistance, especially for migrations between tenants, but overall it is user-friendly. Complexity depends on the task. Azure's support and documentation are crucial for our deployment process.

Deployment in Azure is made easy and manageable through helpful configuration and management tools. Initial deployment may take one to two hours, but subsequent deployments typically take around 30 minutes, depending on factors like database and application size. Upgrades can be even quicker, sometimes taking only 13 minutes.

Working with Azure has shown a positive return on investment, particularly in projects involving migration from data centers. Benefits include improved performance, availability, and reduced downtime, leading to enhanced customer experiences and business outcomes.

Azure's pricing is generally considered reasonable and cost-effective compared to AWS, although AWS prices can be higher in some cases.

In a project, we needed to gather data from various APIs, including Google Analytics, and integrate them seamlessly. Azure played a critical role in this by facilitating the integration of different technical services and allowing us to efficiently ingest data from CSV files. We also utilized Azure to process and output data in different formats, ensuring smooth operations throughout the project.

We rely on Azure for all our cloud computing needs because it filters almost all our requirements. It fulfills everything we need for cloud computing, and we are very satisfied with its services.

My experience with Azure Security tools has been positive. Azure offers robust security features like multi-factor authentication and role-based access control, ensuring a high level of security for our projects. I haven't encountered any issues or breaches, though user management practices also play a role in maintaining security.

Azure's main pros include strong support for Microsoft-native services like Azure SQL and cost-effectiveness for certain workloads compared to AWS. However, licensing for non-Microsoft services may be a bit more complex on Azure.

My advice for organizations considering implementing Azure is to assess their specific business needs and customize their infrastructure accordingly. Utilize Azure's diverse services and storage capacities intelligently, optimizing cost by leveraging features like auto start and stop for non-essential resources.

Overall, I would rate Microsoft Azure as an eight out of ten.

We use the solution for business analytics, data warehouse, data sharing, and data governance. I am a data engineer. I work on cloud data warehouses and data lakes.

I use Power BI and Azure Synapse Analytics for my analytic needs.

The solution is useful for handling large amounts of data. It is useful for big data. Our analytical needs are taken care of by Azure Synapse Analytics. The scalability is valuable. The data is increasing daily in structured, semi-structured, and unstructured areas. Accommodating multiple data types with a cloud data warehouse and cloud data lake is easy. Azure's security and compliance tools are nice. We get a lot of customers who want to handle data in large volumes.

The third-party data-sharing features must be improved. It will be useful for users who use other cloud providers.

I have been using the solution for more than five years.

The tool is stable most of the time. Sometimes, when there is an issue, it takes a long time to resolve. I rate the stability a seven out of ten. The stability must be improved.

When the demand increases during occasions like Black Friday, we have to scale up to meet the customer requirements. Later, we can scale down. I rate the tool’s scalability an eight to nine out of ten. Our clients are mostly enterprise businesses. We normally deal with manufacturing and banking customers.

The customer support is fine. We work with a partner.

Positive

I rate the ease of setup a nine or ten out of ten. We don't require many skill sets to provision it. The time taken for deployment depends upon the environment and the data. Generally, it can be done within hours.

I rate the pricing an eight or nine out of ten. If a customer has Microsoft Stack, they choose Microsoft's products.

Many customers compare Azure Synapse with Snowflake. Snowflake has good capabilities in data-sharing and the marketplace.

We are partners. We pitch Microsoft products to our clients whenever there is a need. I will recommend the product to others. Overall, I rate the product a nine out of ten.

Azure is a cloud provider. We use Azure services for various purposes, including PowerApps for app development and Azure DevOps for software development and operations.

We find Azure particularly beneficial when working with clients who are heavily invested in Microsoft solutions. It necessitates that we also leverage Azure for our solutions and services.

Azure offers a variety of services rather than features per se. 

The platform is quite self-service and adaptable.

It is secure. 

It can be cheaper, which might simplify things a bit.

We've started using Azure for the past year, although we are primarily an AWS shop.

It is a stable product. I would rate the stability a ten out of ten. 

Since it is on the cloud, it is a scalable solution. 

We have a lot of end users using this solution. We use it on a daily basis. 

Since all our solutions are hosted on Azure, usage will naturally increase as our operations expand and we onboard more users.

We were using AWS and had a requirement that led us to start using Azure. We utilize all of them based on specific needs.

We use all three (Azure, Google Cloud Platform (GCP), and AWS). It's about the use case and the requirements that dictate which one we choose.

I didn't handle the setup directly. Our IT team manages the provisioning of Azure services for us.

From what I understand, it was not particularly complex.

The implementation was handled by our IT team. We have a dedicated cloud team that provisions the services we request.

The return on investment largely depends on how and where you're using it.

We've seen significant savings in infrastructure costs. That's a primary advantage of using the cloud – it's fully managed, and you pay as you go, which is highly beneficial.

Overall, I would rate it an eight out of ten. 

I would recommend Azure. When implementing cloud services, it's essential to consider the top three cloud providers today: Azure, Google Cloud Platform (GCP), and AWS. 

Azure is stable and should be considered alongside these, depending on the use case.

Azure is utilized to facilitate computing needs for our clients' sites. Most often, it's employed to enable them to host their products in the cloud, manage disaster recovery, conduct backups, and host applications. Additionally, for clients with on-premise infrastructure, Azure serves to replicate that setup in the cloud. We offer Azure-based solutions to fulfill these requirements and seamlessly provide access to them, typically through domain access, after setting up payment arrangements.

Azure integration became crucial for a business facing cost-saving challenges. They were burdened by the physical space and maintenance costs of on-premise infrastructure. Additionally, issues like electricity outages prompted them to consider migrating certain infrastructure components to the cloud. This move aimed to alleviate space constraints, reduce maintenance expenses, and enhance reliability, potentially enabling them to divest part of their infrastructure in the future.

The scalability features of Azure had a significant impact on projects for our customers, particularly in one instance where a deal was lost due to scalability issues. This challenge doesn't necessarily stem from Azure itself but rather from the complexity of migrating third-party dependencies to the Azure environment. Often, the lack of proper documentation and understanding of how these dependencies were originally implemented poses obstacles.

Azure is highly valuable due to its cloud-based nature, which reduces the need for extensive hardware purchases and server maintenance costs. It serves as a quick and convenient solution for spinning up VMs, creating websites, and making businesses visible online. The platform's user-friendliness eliminates the need for lengthy training periods, enabling swift navigation for new users. Companies can easily onboard new personnel by providing them with relevant documents, allowing them to quickly grasp how to manage resources and create necessary components on Azure.

Azure Arc is incredibly valuable because it allows businesses to connect and secure their resources, regardless of where they are hosted. This means that even if they are using other cloud platforms like AWS or have on-premise infrastructure, they can still benefit from Azure's features. With Azure Arc, businesses can have centralized management and security across their entire environment, including legacy systems and other cloud providers. While Azure Arc may come with a higher cost, its ability to bridge different platforms and provide enhanced security makes it a compelling option for businesses looking to leverage Azure services without fully migrating their infrastructure.

Improvements are needed in Azure to enhance integration tools and support for effectively migrating and managing third-party dependencies. Additionally, there is a significant issue with payment restrictions on Azure, particularly for users in regions with limitations in their local economies. Integrating third-party payment services could alleviate this problem, allowing users from various international locations, such as China, Europe, and Africa, to make payments more seamlessly. By providing alternative payment methods beyond the reliance on US debit cards, Microsoft could greatly improve the usability and accessibility of Azure for users worldwide. There's room for improvement in integrating the Azure Marketplace with the Azure portal. It would be beneficial if users could directly communicate with solution owners or developers through the portal. For instance, if a user encounters challenges while using a particular solution from the marketplace, they could easily send an email, initiate a phone call, or even send an SMS to the solution owner or developer for assistance. This direct communication channel would streamline the troubleshooting process and foster better collaboration between users and solution providers, enhancing the overall user experience.

I have been working with it for a year.

Azure is highly stable, with only one instance of downtime experienced on a specific website and two occurrences in approximately nine months. Overall, it maintains a commendable level of stability, especially when availability zones are utilized. These zones provide critical redundancy, ensuring resilience against unforeseen events and offering a heightened level of reliability.

Azure's scalability is evident when building and adhering to the appropriate architectural principles. Challenges with scaling typically arise when existing platforms or third-party components are involved, making it difficult to align them for efficient scaling. However, Azure Arc aims to address this issue, though it may incur additional costs, especially at larger scales. While some customers may opt for traditional VM provisioning on Azure due to cost considerations, Azure Arc offers an alternative approach for scalability.

The technical support provided is exceptional, and I am extremely satisfied with it. I would rate it nine out of ten.

Positive

The initial setup is straightforward.

The documentation provided by Azure for deployment processes to our customers is excellent. Typically, the process begins with signing NDAs followed by a call with the customer's team to understand their requirements. Once the requirements are clear, we review the architecture and assess the feasibility of replicating it on Azure, especially if migration is involved. Subsequently, we create a scope of work detailing the proposed actions and timelines, which the customer must sign off on. Upon agreement, we set a kickoff date and discussed requirements from the customer's end, such as authorization and authentication. During the project kickoff, we ensure someone is available on the customer's side to prevent breaches or delays. We then proceed with the deployment, moving necessary components and configurations. After completion, we conduct testing and allow the customer time to review the deployment, typically two to three weeks. Upon receiving approval, we finalize the project and obtain payment, usually within a timeframe of five days to two weeks, depending on the project's complexity

Azure's simplicity streamlines deployment, often requiring only five to six resources for larger projects. The specific roles may vary based on the project's needs, encompassing expertise in security, architecture, design, and product management.

In most cases, we inform the customer that we're available round-the-clock for feedback during the initial three months post-deployment. This ensures prompt resolution of any issues beyond their capability. If needed, we offer training for their team members. Additionally, customers have the option to enter into a support contract with us for ongoing assistance. Smaller projects may not necessitate ongoing management, depending on their setup.

Our customers often report a positive return on investment with Azure, as it helps them save costs. Whether they were previously on traditional infrastructure or on-premises setups, Azure proves to be beneficial, making it a worthwhile investment for them.

The pricing is relatively high.

I highly recommend Azure, as I use it myself. My advice would be for them to seriously consider it, especially when taking their budget into account. Overall, I would rate it eight out of ten.

We use the product to stream data from devices to the system, transform data, and configure web apps using SaaS services.

One significant area for improvement in Microsoft Azure is the cost associated with its services. While integrating services from different vendors, the perceived costs are high, with occasional confusion about specific charges, especially in data transfer scenarios between regions. This cost factor poses a barrier for small companies, and they could simplify the process and reevaluate pricing structures.

We have been using Microsoft Azure for seven years.

The platform is stable. I rate the stability an eight out of ten.

I have worked with around 5000 Microsoft Azure users in our previous company. It is highly scalable.

In the IaaS approach, setting up virtual machines (VMs) allows for scalability adjustments based on memory and CPU consumption. Similarly, for applications developed with Azure RPA (Robotic Process Automation) or Azure Logic Apps, scalability can be efficiently managed by configuring the app service plan.

I rate the scalability a nine out of ten.

The experience with Microsoft's customer support has been middling, neither exceptionally good nor bad. The support team takes time to respond. It is a lengthy process and could be improved.

Neutral

The complexity of implementation depends on the different setups. We can utilize the portal, CLI, or alternative providers like Terraform. The deployment process in Azure varies based on the specific build requirements and the nature of the application being deployed, whether it's through GitHub or directly in Azure. The time taken for deployment in Azure varies greatly depending on factors such as the complexity of the application, the number of integrated applications, the volume of code, and the artifacts involved.

The product generates a return on investment in terms of time savings on setup, installation, and scalability. It also depends on the specific consumption patterns and the extent to which Azure services are utilized for our compute and networking needs.

The product is expensive, particularly with services such as Microsoft SQL Server incurring significant costs. It could be more competitive in terms of pricing.

Azure supports the development and hosting of various applications, including those built with ASP.NET. We have developed an application using ASP.NET versions 4, 6, and 7, and then deployed it to Azure for hosting. Data analytics is one of the efficient features as well.

The features I find most useful for cloud computing needs, particularly for fax services, include Azure RPA (Robotic Process Automation), Azure Logic App, and Azure Service Bus.

We can easily integrate the product with MS SQL Server and Azure SQL Database as a service. Further, we can utilize event apps within the IT infrastructure.

I have experienced significant benefits from Azure's security and compliance tools, particularly in the area of identity management. Working with Microsoft Identity, including Azure Active Directory (Azure AD), has proven valuable for operations involving customer-to-customer (CTC), business-to-customer (BTC), and business-to-business (B2B) scenarios. The customization capabilities help us with the registration of applications under Azure Active Directory, enabling robust authentication and authorization mechanisms.

I recommend the product for small companies or startups. It is also a good option for established companies planning to reach beyond certain limitations in terms of business.

I rate it a seven out of ten.

Our primary use of the platform involves a variety of architecture frameworks, infrastructure, and system needs based on customer requirements. We use it for many AI projects, cognitive services, and infrastructure management.

The solution's most valuable features include scalability, stability, and comprehensive security tools. Its AI capabilities, including generative AI and tools like Azure GitHub Copilot, have been particularly beneficial in optimizing our operations and enhancing critical processes.

There is room for improvement in the product's AI capabilities and real-time data processing features.

I have been using Microsoft Azure since its inception, for nearly 14 years. My experience with Azure began around 2010, shortly after its initial launch.

The product is highly stable. 

The platform's scalability has been vital for effectively managing varying workloads and infrastructure needs. Proper planning is necessary to utilize it and fully avoid potential issues.

Microsoft provides comprehensive support through various channels, which has been instrumental in resolving issues and optimizing our platform use.

I have used various solutions, but Microsoft Azure's comprehensive feature set and integration capabilities made it a preferable choice for our requirements.

The initial setup process can vary in complexity depending on the specific needs and scale of the deployment. We have managed various deployment scenarios, adjusting methods according to customer requirements.

Our in-house team carried out the implementation, which was supported by vendor resources as required.

In countries experiencing high inflation, the cost of Azure services can be significantly impacted. This can result in higher expenses compared to other regions.

We evaluated other cloud platforms, including Oracle, Cisco, and various vendors. However, Azure's robust AI and security features made it the best fit for our requirements.

Microsoft Azure has been a crucial component of our operations, and its continuous improvements in AI and security are promising. Staying updated with Azure’s developments through official announcements and industry news is vital for leveraging its full potential.

I rate it a ten. 

In any general use case, if we want to run any application on our own virtual machines, that's Infrastructure as a Service (IaaS). If we want to use a readily available managed service in Azure, like Azure Storage, Azure Security Center, or Logic Apps, those are Platform as a Service (PaaS) offerings.

This is because they're provided on the platform, and they manage them. We can run our data and applications on them. If we're using a complete application as a service provided by vendors, like Office 365 (including the email service), that's considered Function as a Service (FaaS) because we're not configuring anything on our end – we're just using it.

I'm involved in all kinds of services, whether it's IaaS, PaaS, or SaaS. It depends on the specific customer requirement.

We implemented Azure for our infrastructure needs. Our core components include virtual machines, virtual networks, network security groups (NSGs), load balancers, public IPs, and private IPs. For private endpoints, those are more specific to Platform as a Service (PaaS) offerings.

Additionally, we utilize a hub network with a firewall, DNS server, and Active Directory server (AD). This aligns with the enterprise landing zone concept, where a connectivity subscription with a hub network that includes a firewall, DNS, AD, Azure Monitor, etc., would be implemented.

These shared services reside in the hub network if we have on-premises servers or other large assets running in Azure.

For management purposes, we have a separate subscription – the management subscription – which includes Log Analytics workspace and other data monitoring tools. Finally, the landing zone itself would house our workloads and applications.

We rely on many security features to manage our Azure cloud environment. It's a kind of framework we follow. First, there's posture management with compliance by following specific regulations. Then, for specific services, mainly Azure Defender and Azure Sentinel are important. They use the latest threat intelligence to identify threats and vulnerabilities. 

On top of that, there are policies to ensure your security posture is maintained, followed by firewalls, Azure Defender, and Azure Sentinel for threat intelligence and response.

All these services are managed services and they are auto-scalable.

In Azure, there are so many things. Especially when dealing with different regions. Suppose we are far from a region and using it over the internet, then probably more Edge Zones in nearby cities would help. This would give easier access with no delay or latency.

Right now, the problem in many remote areas is they may have low-bandwidth internet connections. This can make it difficult to access large services that require more bandwidth to download data and such. So, if the service were closer, it would be faster to access. At least they could access it easily.

Again, there are many other suggestions from a technical perspective on different services. But this is just from a user's perspective, and user demographics can create challenges. Other users with very good access might not have latency or other issues, but they might have operational challenges.

For example, let's say ExpressRoute. It's very expensive and mainly available for enterprise customers. Suppose individual users want that kind of dedicated connectivity over a service provider like Airtel or Vodafone and have an ExpressRoute from their phone, but is there any availability for a lower-cost option?

Because it's very expensive as well, if there were any such services available at a lower cost, then that would really help customers, especially SMBs, to have more consistent and reliable applications.

The main improvement I expect is capacity improvement. For example, live streaming applications require a lot of backend computing power. During events like football matches, millions of requests can occur per second. Existing services might not be sufficient to handle this. 

We need to know the maximum scalability based on data center capacity limitations. In some cases, we have to deny customer requests due to insufficient capacity. So, improved scalability is a key area for development, and I'm sure other cloud providers face similar challenges.

There are a lot of services already in Azure, but from a regular user's perspective, improvements can be made to specific services and features. For example, in Kubernetes, initially, it was limited. You could only create a Kubernetes cluster in one subnet. 

If all the IPs in that subnet were used, you couldn't expand that subscription. That was an issue, but it's been addressed. Now, you can increase the number of nodes by creating a new node pool in the same cluster with additional subnets. Improvements like this feature-based approach can be applied to many services. 

Another key area for improvement is the Azure load balancer. Currently, it only supports virtual machines (VMs) running in the same virtual network (vNet) on the backend. 

They should definitely support machines or IPs running on-premises (prem) or in other Azure VNets. GCP and AWS already support that. So, Azure Load Balancer should support that as well because being able to provide support is a very basic requirement or a valid request from any customer. These kinds of feature requests can be improved from a cloud service provider's perspective.

I have been using Azure storage for five to six years. 

It is a stable solution because it depends on the workload you expect. Based on that data, you can configure how many users it can handle.

Managed services are definitely more efficient than IaaS and offer a performance-centric approach.

It is a scalable solution because it depends on how the user manages it. But any services we choose in Azure are inherently scalable.

The initial setup is straightforward. Nothing is truly complex unless your solution or requirement itself is complex.

The deployment time depends on my requirements. Suppose a customer needs a very small environment, like two or three cluster machines with a standard load balancer on top, running their application on those VMs. It would hardly take 30 to 45 minutes to create the virtual machines (VMs), create a load balancer, allocate a public IP address, and set up a virtual network (vNet). 

At the very beginning, we had to create a subscription. Within the subscription, you'll create a resource group. And within the resource group, we'll be creating a virtual network. Inside the virtual network, we'll deploy the VMs, a load balancer, a public IP, and a network security group (NSG).

Additionally, if I want to make it more secure, I can create a firewall as well. So, all of these together should be deployable within an hour.

The number of people like developers required for the deployment depends on your environment. For instance, if you use an IaaS solution, you'll need more resources on your end to manage it. 

But with a PaaS service, you'll need fewer people because the cloud service provider manages half of it. With a SaaS solution, you don't need anyone to manage it – the cloud service provider handles the entire application. You just use it. 

So, it depends on the solution type. Therefore, more complex solutions require more resources to manage.

When we decide to increase capacity, we always consider the ROI and look at the projections for the next three to five years. Big investment decisions are only made based on that. 

Similarly, any customer considering adopting a service in Azure, like Azure SQL Database or Logic Apps, will first look at the return on investment. They'll consider how much they're investing in these services, how many users will be using them, and how much money they'll make from them. 

If it's not profitable based on their expectations or KPIs, they obviously won't add those services. So, it depends on the customer's specific requirements and expectations. We recommend the best possible services for their needs.

Azure licensing costs. We always compare licensing to the ROI.  Azure costing can be multi-layered. Increased capacity depends on your requirements and any contracts you have. On top of that, there's a separate cost for the licenses of the applications and operating systems you install in that capacity. 

So, as long as you're using the existing capacity, you won't be charged extra for that. However, if you increase capacity, you'll only be charged for the services you use on that additional capacity, not for the capacity itself. 

This depends on specific guarantees made in contracts that can last from two to eight years. These guarantees ensure investment has a return on investment. So, in that case, you wouldn't be charged for the additional capacity, just the services used on it.

Capacity increases based on customer requests are very rare, typically only for extremely high-volume scenarios. For example, millions of requests per second would require a service capacity increase beyond standard rates. Otherwise, we usually have enough capacity in different data centers across various regions.

Generally, most services and their licensing – it's that straightforward.

I would rate Azure an eight out of ten for managed services and IaaS a seven out of ten.

While I can advise, many factors influence decision-making. For example, if we invest in a ten-million-dollar data center capacity improvement, we need to see the return on investment within a one to three-year timeframe. If not profitable, such a large investment wouldn't be justifiable. 

Alternatively, customers could sign a five-year contract guaranteeing capacity usage and payment if we invest in the upgrade. These are the parameters that define decision-making in such situations.