Is there any benefit of using Microsoft Azure over Amazon Web Services?

It actually depends on the situation and work requirement that promotes the use of Azure over AWS. Both of them are equally likable for different reasons. Though they are both are cloud providers, they represent two different philosophies. This is evident right from the instance types and console design to the kind of products they both offer.

Azure Application Development Services

It would actually depend on the scenario and workload, a right sizing of the capabilities you want to implement would be useful as well. Azure integrates very well and seamless with the enterprise infrastructure since most of them run Microsoft in the foundation layers: Identity, Messaging, Database and Development. Azure Application Development Services has provided a number of essential features and work environment for powerful boost.

When it is recommended to use Azure?
  1. If you are an enterprise which is just adopting the cloud and you can’t afford to move your entire infrastructure to cloud and if you prefer a hybrid model then you must go with Azure.
  2. If you are primarily a windows shop and more than 70% of your databases are Microsoft SQL Server, then features like backing up a database to a URL directly using old TSQL commands will feel magical to you.
  3. If you are a one man company who just wants to build that website quickly and you don’t want to deal with the overhead of managing infra then you are advisable to use Azure PaaS services.
  4. If you are concerned about Oracle and SAP being ‘Certified’ on a platform, then Azure is a good way.
  5. You can build a Blinkbox kind of service with relatively less effort by using Azure.

When it is recommended to use AWS?

  1. If you need a better control at the network level on our private cloud, you must look for AWS service. Amazon’s VPC beats Azure’s Vnet hands down at the moment.
  2. If you are longing for a top notch IaaS Service which is solid and things like a random server reboot do not fall under “it-may-happen” scenario then you must go with AWS server which is snappier than comparable Azure servers.
  3. If your company depends heavily on automation then you must use AWS. Poweshell automation that Azure provides is as powerful as it can be get but AWS has a lot more options.
  4. If you are search for more flexibility in choosing an instance type, AWS is for you.

It always depends on the company’s requirement. Right now in cloud providers major players are AWS and Azure, so do select you choice in a more specific way. For any queries related to Azure development, get in touch with our service panel support at

Is Windows Azure a decent decision for facilitating a gathering with enormous movement?

Window azure is a cloud computing platform which is created by Microsoft for building, deploying and managing services and applications. Windows Azure Application Development Services runs on the global network under Microsoft-managed and Microsoft partners group. One must go through Windows Azure: Microsoft’s Cloud platform and know all the service that Window Azure provides. One must also learn the different approaches to Cloud programming.

Windows Azure Application Development Services

 These points must be considered to get an answer to the question:

1. Window Azure do not support Sessions out of the box. As concerned for hosting a forum type software, we know that forum software of any type needs Session. But still, it may work fine with azure.

2. One can easily add Session state provider to use the App fabric cache or Azure table storage. The App Fabric cache may perform better, but it is still in a CTP release.

3. It’s not difficult to host a site on azure. Visual studio has a good support to deploy a site to azure and a well structured Custom azure application development. Once the user get habited to deal with the site, he may switch to think about storages, worker and role.

4. Bob Muglia, the president , server and tools at Microsoft sum up the combined benefits of Window Azure and stated –

“NCBI BLAST on Windows Azure shows how the platform provides the genuine Platform-as-a-Service capabilities that technical computing applications need in order to extract insights from massive data and help solve some of the world’s biggest challenges across science, business and government.”

5. The NCBI BLAST on window Azure software is available free of cost from Microsoft and the Window resources are available too.

6. As concerned with the price, the minimum pricing with azure + Azure SQL is $88/ month for the web role and for 1GB database, the cost may be $10/month. The price level seems quite expensive as compared to the normal shared hosting which may cost just $20/ month.

7. If you are too curious for the platform, you may go straight with the Azure and deploy the Forum site on it.

But if you are more concerned with the prices, then shared hosting could serve a better option.

We, at Laitkor are dedicated towards assisting you with any type of queries related to Window azure and hosting a Forum type sites for 500 users per day. For any assistance related with Azure hosting or Microsoft Azure Application Development Services, feel free to get in touch with our expert panel at helpdesk.

What are the advantages and disadvantages of Google App Engine against Amazon EC2 or Microsoft Azure?

The advantages of App Engines are fairly well known. Some of them include seamless scalability, simple APIs to backend datastores, mail auth and asynch task queues. However, if you try to build anything substantial on top of App Engine, you are bound to run into a few operational pitfalls as well. Azure Application Development Services offers many features but GAP is no more less. Both of have has their own pros and cons.

Azure Application Development Services

Google App Engine VS Microsoft Azure

Advantages of GAE

  1. The main advantage of GAE is it doesn’t scale. However, even after you empower billing, the whole system is augmented to support only 500 requests per second. If you want more, you can reach Google’s disposal to increase your thresholds, so you can have millions of users, but more than 500 requests per second. If you want to do more than 500 requests and your app is legit, they will remove those caps or make them higher.
  2. GAE feature set is good enough to build a decent website and you don’t need to do the maintenance work.
  3. It doesn’t require any server administration. It has free usage quotas and provides scalability. GAE has better access to Google user accounts and deployment process is very easy.
  4. GAE has the highest admin load. Once you are set up, deploying and re-deploying is quick and they will auto-everything. For example, you don’t have to worry about the number of servers your app is using, how to share the data and how to load-balance.
  5. You can get any feature from the store with GAE. But with Azure, you get the feeling of SQL Azure database but at the same time it would be too expensive. Azure storage is likely to have more gotchas. No relational integrity, no order-by, you will scam with the in-memory setting more. GAE’s store has far rarer margins and more features than Azure tables.

Disadvantages of GAE

  1. GAE is yet not stable enough. Even Google says that GAE is the same infrastructure of Google self-internal project. And the budget would increase much when your website becomes bulky.
  2. Without native file system read/write access, it is hard to process some data transform with existing library, and it doesn’t support some native file system base library as well.
  3. It does not provide full text search API. Also, the SDK/Java is unfavorable with Maven, it is unsatisfactory to accomplish lots of external libraries. The SDK/Java depth rest on on IDE, and the default project directory structure is some difference with normal web app.
  4. It is not easy to process unit test. It cannot fix the root cause and does not support add SSL to web site. The GAE may be the development for future web application, but it is not equipped for building a modern web site now.
  5. It suffers from the inability to tweak server software. The Filesystem and many standard library modules are inaccessible. Only Python and a few runs of Java Virtual machine.

GAE has great UI that includes a record viewer and a data editor. With Azure, you have to catch external viewers/editors for this. Also, GAE lets you have several sorts of your application running on the same data store. You can deploy, test a variety and then set the current ‘live’ version when you are prepared. You can change back anytime if something goes wrong.

Could Azure Machine Learning Really Disrupt The Data Science Space By Making Predictive Analytics Ubiquitous?

Yes, Azure Machine Learning will surely be going to accelerate this trend but they are not the only player pushing this forward. IBM Watson Analytics was also announced with the same goals. All the major players are moving to make Big Data more accessible. The Hadoop project is absolutely much on demand and useand the hadoop ecosystem is growing every day.

Azure development

Azure ML making predictive analytics ubiquitous

  1. Azure ML is an incredible service for data scientists who want to approach the web the right way. Creating complex data science workflows can be implemented in many ways, but data scientists are not the web developers and will always have the problem especially with exposing their result to the real world. Azure ML gives them the possibility to freely create Web Services to access their models, in the cloud, in a scalable way.
  2. It also allows Normal developers to meet the world of data science without a deep mathematical background, which will actually make the whole process even easier for experienced programmers.
  3. Machine Learning is still a new idea for the mainstream businesses. The large and sophisticated companies that really need Machine Learning have already hired their own team and built their own tools. The smaller companies that don’t have too much need just aren’t going to invest in this yet. So the market for this service is always kind of squeezed from above and below.
  4. Azure ML will let you build machine learning workflows in the cloud using drag and drop interface from your browser. These workflows could include modules for ingesting the data from a variety of sources, generating features, trainings, scoring and evaluating ML models. Azure ML also lets you run any R-scripts in addition to a lot of built in state-of-the-art modeling modules.
  5. If you are an enterprise with a servers in the cloud serving your business and you need to monitor those servers. You will find that there is a service for anomaly detection in Azure marketplace that you can call to track any anomalies the telemetry data from the servers. This scenario can be extended to tracking anomalies in real time sensor data that is flowing into Azure.

The world is moving to where every decision is data driven, and Azure Machine Learning can power a lot of those decisions that would lead to Azure development. Machine Learning is still evolving in the market and sudden competitions are surely going to make it better.

As A Developer, What Criteria Will Make You Choose AWS Activate, Microsoft Azure And Salesforce 1?

Every cloud is good at a specific set of activities, so you cannot expect all features to be performed by a single service. Azure development envelops a handful number of criteria for its users to ensure the facts before starting the development.

Azure development

The criteria

  1. You have to consider security at the top level criteria to ensure your server and system being safe. With lack of security, one cannot manage the development and deployment of apps. The developers are therefore the care taker to make their products secure, easy and more reliable.
  2. Next is the performance, which should be regular checked and managed. Growth of any service or apps depends on the work performance that it is giving. It should give the quality of performance as it is expected to deliver. This builds up the market.
  3. You have to consider cost also because use of any platform involves the value in terms of quality and cost. So, there should be a balance relation between Quality and Cost so that a large number of users can afford them. They should also have the ease of access. All of these are critical in considering which cloud provider is leverage.
  4. You also need to consider some of the following questions:
  • What is the customer background?
  • What is the IT direction the company is going towards?
  • What is the customer vision about the Cloud?
  • How much Microsoft investment they have on premise?
  1. Everyone knows their own skillset. So consider your skill set up to and how you are going to handle the cloud. The client’s existing infrastructure should also be taken into account. Or you can consider whichever of the two makes the most sense.
  1. You should wisely consider Availability and Cost criteria. Existing infrastructure VS associated development cost is to be considered for proper development within the approximate range of cost criteria. Also check, if it has possibility of Lock – in

You have to carefully consider security, cost and performance and finally ease of access. All of these are critical in considering which cloud provider is leverage. All of them are extremely variable and have to be considered from a number of different ways. The better answer for this is ultimately what did you test and which one worked better in your tests.

What Startups Are Considering Windows Azure As A Possible Deployment Platform?

The major benefit that the developers feel is its non-dependence on sysadmin, not even for a part time role. Once you have set it up to work, it just runs. Microsoft is innovating at a much slower pace than Amazon, which is a bit of a problem. Azure Application Development Services stands for all assistance that is required for development and deployment.

Azure Software Development Services

Window Azure as a possible deployment platform

  1. It will take a couple of days to get really familiar with Azure and it is a little quirks. It is a bit of learning curve but once you are past that you can develop for it like you do for normal net websites.
  2. As concerned with pricing, Microsoft is still struggling with understanding pricing. They have done a great job with SQL Azure but completely missed the boat with pricing for their NoSQL store, which is priced transaction. Now, pricing for NoSQL does not work for really large scale sites, although it is assumed that you can talk to Microsoft directly about that when you have that much traffic.
  3. As concerned with logging / Tracing, they exist but there are only few tools there that support it. Well, it is expected to do more in few more years.
  4. Continuous deployment is a real pain right now. The whole of Microsoft stack is not really designed for lean startups so you have to cut a lot of corners to make that happen. It takes a lot of time but it is somewhat doable.
  5. You never get a perfect solution in technology. Similarly, Azure has been a good choice for you but you can also be equally comfortable in choosing a platform like Heroku.
  6. It is one of the recommended platforms to go. The main advantage is that it is a platform as a service vs infrastructure as a service. The biggest deal is that there is no sysadmin requirement and start-up is easy.
  7. AzureWatch is built on Azure and provides dynamic scaling service for Azure apps. But it is to be kept in mind, lack of need for sys-admins is a key strategic difference between Azure and OaaS clouds.

You can use Azure to build start-up on. Using Microsoft will alleviate concerns about using the cloud. We don’t believe that Microsoft will innovate as quickly as AWS but our customers aren’t innovating in the technology sphere. For any other queries related to deployment, you can consult our developer team at helpdesk.