Cloud computing platforms have become one of the most preferable data storage solutions for several organizations as it reduces the cost of managing and owning on-premise data centers.

Cloud computing enables worldwide access to a set of resources like services, data, applications, computer networks, and services. It can be done on either a privately owned cloud or a third-party server located in a data center. This is responsible for making the data access stratagem more efficient and reliable, with minimum administration effort.

In this article, we have illustrated some of the major challenges faced by the developers like you while implementing Cloud computing techniques.

No doubt that Cloud computing includes a lot of challenges, but there are several advantages as well, which you cannot overlook. A number of businesses of all sizes are growing comprehensively these days by adopting Cloud computing.

The challenges that we are going to discuss in this article while implementing must be resolved correctly in order to accept the cloud computing technology trend. This is because the cloud and business intelligence (BI) are dependent on each other. BI is responsible for distributing the correct information to the people and the cloud is considered as a medium to access BI applications.

In order to attain the consistency and economy of scale, the Cloud technology is dependent on the resources’ allocation. Therefore, it is quite cost-effective as well, and which is why even most of the small organizations or businesses opt for Cloud computing.

However, there are several challenges included in cloud computing, and you as a software developer must be prepared in order to deal with them for the realization of their benefits.

What Are The Major Challenges That You Must Consider While Cloud Computing?

Challenged Faced While Implementing Cloud Computing

Here are some of the major challenges that you should consider before opting for cloud computing technology:

One of the top concerns while investing in cloud services is security issues when you implement cloud computing. This is because the data gets processed and stored by a third-party vendor, which you cannot see. However, you will be informed consistently about the broken authentication, account hacking, compromised credentials, data breaches, and more.

Additionally, the cloud providers are putting a lot of effort in improving the security capabilities. You can also make sure that it implements privacy protocols and database security.

Your Cloud account can also become vulnerable because a number of people access it. Anyone who knows the hacking tricks or is familiar with your password can easily break into your Cloud and access your secure and important information.

In order to get rid of this issue, the organization must implement a multiple level authentication and make sure that your passwords will be protected. Additionally, the organizations should also modify the passwords regularly, especially at those times when an employee leaves or resigns from the organization.

Cloud computing is responsible for allowing you to access the application over the internet connection and also helps you to save on investing in expensive computer hardware, management, maintenance, and software. Which is why Cloud computing is more affordable. However, data transfer to a public cloud is a costly affair, especially in the case of a small project or business.

Cloud management has become difficult because of the factors such as continuous improvement of cloud tools, increasing workload on cloud technologies and much more. The demand for a trained workforce is consistently increasing, who are capable of dealing with the cloud computing services and tools. Therefore, the organizations must train their IT professionals in order to minimize the challenges while implementing cloud computing.

The cloud services depend on a speedy internet connection. Therefore, the organizations, which are relatively small and face several issues related to internet connectivity should primarily install a good internet connection in order to make sure that there will be no downtime. This factor is considered as one of the most important factors to keep in mind while investing in cloud services because the internet connectivity issues might lead to vast business losses.

Maintaining complete control over asset maintenance and management is another challenging factor in cloud computing technology. A dedicated team should be there in order to make sure that the assets used in implementing cloud services are adhered to dedicated procedures and agreed policies. The maintenance should be proper and the assets must meet the goals of your organization successfully.

Maintaining compliance is another mighty risk while implementing cloud computing. Compliance refers to a set of rules, which explain about the type of data allowed to move and what must be kept in-house in order to maintain compliance. The businesses must respect and follow the set of compliance rules by a number of government bodies.

A number of organizations are investing in multiple private and public clouds, or a combination of public and private cloud, which is known as hybrid cloud. In recent times, this has grown dramatically. Therefore, it is very important to consider the challenges faced by such businesses and search for the solutions in order to grow with the latest trend.

It is very advantageous to Implement the internal cloud. The reason behind this is the in-house data security. But here the challenge is the involvement of the IT professionals in order to fix and build everything on their own. Moreover, the dedicated IT team also needs to make sure the smooth and proper cloud functioning. Also, the team is required to automate most manual tasks and their execution must be in the perfect order.

When we talk about moving business applications to a third party vendor or a cloud, the business performance automatically also tends to depend on your provider. However, investment in the correct cloud service provider is another issue while implementing cloud computing.

Before investing in cloud services, you must look for good providers with innovative and impeccable technologies. The cloud-based systems performance is linked to the systems of the provider as well.

Cloud Migration Services refers to moving an existing application or a new application to a cloud. When it comes to moving a new application, the process becomes very simple. However, if it is an existing application, it becomes too slow.

According to a recent survey, 95% of the businesses are moving their apps to the cloud. The survey also displayed that many organizations are finding it a nightmare. Here are some of the noticeable issues faced : slow data migrations, extensive troubleshooting, security challenges in cloud computing, application downtime, cutover complexity, and migration agents.

The capability and capacity of a technical service provider play a very important role along with the price. Make sure that the service provider must be available at the time of need. One of the primitive concerns is the reputation and sustainability of the service provider.

Downtime is one of the most significant shortcomings of cloud technology. There are no sellers, who can promise for a platform, which does not include downtime issues. Cloud technology is responsible for making small organizations reliant on their internet connectivity, hence, organizations with a slow or bad internet connection probably must overcome this issue before adopting cloud computing technology.

To enter into a cloud computing agreement is much easier than to leave it. “Vendor lock-in” comes into play when altering the service providers is either not possible or excessively costly. It usually happens when the service is nonstandard. The buyer must be careful and understand the accurate needs.

Cloud computing is one of the perfect solutions for a number of businesses, but it is very important to completely understand that.

Interoperability means that the application on one platform must be capable of incorporating services from the other platforms. Although It is done with the help of web services, developing these web services is a very tricky task.

We hope you will find this blog helpful. After going through this article, we can say that cloud computing is a great platform for organizations to grow. However, at the same time, you must remain careful while implementing cloud computing. You must vigilantly choose your cloud services provider, understand the compliance policies that they follow and the provider must have an ideal plan for mitigating vulnerabilities and risks.

What Are The Major Challenges Of Cloud Computing?

AWS CodeCommit is a source control and fully-managed service, which allows several organizations to host highly scalable and secure private Git repositories with ease. There are a lot of benefits for hosting the source code with AWS CodeCommit such as its high availability, fully managed experience, extensibility, and security with the existing tools.

The following diagram shows the migration process of an 

This blog will guide you step by step and helps you to understand how to migrate an (Amazon Web Services) AWS Git repository. This complete process will include:

Initial setup required to access CodeCommit.

Cloning the repository and pushing it to CodeCommit.

Viewing files in the CodeCommit repository.

Step 0: Setup Required for Access to CodeCommit

Before anything, you just need to produce an IAM user for CodeCommit and assemble your native pc for access. There is a need to install the AWS interface to enjoy the 

 for CodeCommit and one can do most CodeCommit tasks without it as well. When you work with Git at the command line or terminal, the AWS interface offers flexibility.

In case, suppose you are already done with the setup for CodeCommit, you can directly jump to Step 1.

How to create and configure an IAM user for accessing CodeCommit?

Please feel free to consider the below-mentioned information!

2.  You should create an IAM user for your AWS account and ensure the presence of an access key ID and a secret access key associated with that IAM user.

3.  Next, you should sign in to the AWS Management Console and should open the IAM console.

4.  Within the IAM console, open the navigation pane, select Users, and then, should select the desired IAM user to configure for CodeCommit access.

5.  For the Permissions tab, you should select Add Permissions.

6.  Within the Grant permissions, you should select Attach existing policies directly.

7.  From the list of policies, select the desired managed policy for CodeCommit access.

8.  After the selection of the desired policy, choose Review to evaluate the list of policies that are attached to the IAM user. If the list is correct, then you should select Add permissions.

How to install and configure the AWS CLI?

1.  The first step is to download and install the AWS interface on your pc.

2.  You should run the command to verify the CodeCommit commands for the AWS interface installation.

3.  The command must return a list of CodeCommit commands.

4.  You should configure the AWS interface with the configure command.

5.  When prompted, you should state the AWS access key and AWS secret access key of the IAM user to use with CodeCommit. And, you should ensure to specify the AWS Region where the repository exists.

6.  You should reconfigure the AWS interface with the default Region name for connecting to a repository or a resource in the other AWS Region. Some of the supported default Region names for CodeCommit are:

You need to install Git on your pc to work with files, commits, and other information in CodeCommit repositories that support Git versions 1.7.9 and later. You can install Git for Linux, macOS, or Unix from 

You must install Git on your pc to work with files, commits, and other information in CodeCommit repositories that support Git versions 1.7.9 and later. You can install Git for Windows from 

You must configure Git credentials for CodeCommit that support both HTTPS and SSH authentication for a complete setup. To access CodeCommit, you should use an SSH key pair.

Follow the steps given below in order to create a CodeCommit repository.

2.  You should select the desired AWS Region In the region selector.

3.  Select Create repository on the Repositories page.

4.  Then, enter a name for the repository in the Repository name.

5.  Although, this step is optional. But, this will help you and other users to identify the purpose of the repository. There, you have to enter a description for the repository.

6.  You can skip this step as well. This step helps you to organize and manage your AWS resources. There, you need to select Add a tag to add one or more to your repository.

Great Job! Now, the repository will appear in the Repositories list.

In this step, you need to create a local repo to clone an AWS Git repository on your local computer. Then, you will be required to push the contents of the local repo to the CodeCommit repository you created earlier. Follow the steps given below:

1.  From the terminal or prompt on your native pc, run the git clone command with the –mirror option to clone a bare copy of the remote repository into a new folder. This is merely for migration, not for interacting with the migrated repository in CodeCommit.

2.  Next, change directories to the directory where you made the clone.

3.  Now, specify the URL and name of the destination CodeCommit repository to run the git push command.

After you are done with step 2, you can view all the files in that repository by using the CodeCommit console:

2.  Repositories, choose the name of the repository.

3.  View the files in the repository for the branches, the clone URLs, the settings, and more.

When you create a repository in CodeCommit, two endpoints are generated: one for HTTPS connections and one for SSH connections. Both endpoints stay active whichever protocol you recommend to your users.

Before sharing your repository with others, you must create IAM policies that allow other users to access your repository.

Create a customer-managed policy for The AWS Git repository

1.  Firstly, you should sign in to the AWS Management Console and then, open the IAM console.

2.  In the Dashboard navigation area, you should select Policies, and then, choose Create Policy.

3.  On the Create Policy page, next to Copy an AWS Managed Policy, choose Select.

4.  On the Copy, an AWS Managed Policy page, in Search Policies, you must enter AWSCodeCommitPowerUser. Choose Select next to the policy name.

5.  On the Review Policy page, in Policy Name, you must enter a new name for the policy.

6.  Now, choose the Validate Policy. After the policy is validated, click on Create Policy.

In order to manage access to your repository, create an IAM group and add IAM users in that group, and then, attach the customer-managed policy you created in the previous step or any other policies required for access. Follow the steps given below:

1.  Firstly, sign in to the AWS management console and open the IAM console.

2.  In the Dashboard navigation area, you must choose Groups, and then, choose to Create New Group.

3.  On the Set Group Name page, in Group Name, enter a name for the group, and then, choose Next Step. You should include the repository name as part of the group name.

4.  Now, you should select the box next to the customer-managed policy you created in the previous section.

5.  On the Review page, you should select Create Group. IAM creates this group with the specified policies already attached. The group will appear in the list of groups linked with your AWS account.

7.  On the group summary page, choose the Users tab, and then, click on Add Users to Group. On the list that shows all users associated with your AWS account, select the boxes next to the users to whom you are willing to allow access to the CodeCommit repository, and then choose Add Users.

8.  After adding your users, close the IAM console.

After you have created an IAM user to access CodeCommit using the policy group and policies you configured, send users the information required to connect to the repository. This can be done with the following steps given below:

2.  In the region selector, choose the AWS Region where the repository is created.

Steps to Migrate an AWS Git Repository

How to release software effectively and efficiently? Which methodology should we use? It is a question which we have been facing ever since.

In the traditional methodology, the developers write code and send it to QA engineers for testing and they send it to system administration for deployment. But, somehow if at the deployment phase, the deployed application has failed for some reason, System Administrators check the logs and see what can be done to improve the situation.

If the issue is found in the code of the application, the system administrators send it to the developers who find the issue and come up with a fix. Then, they send it to QA engineers for testing. After testing, it goes back to system administrators, who deploy it to the production server.

As you can see, the issue has to go through as many as three stages before getting resolved. Due to using this methodology, the developers are able to release only one or two software per year. The delay in releasing software leads to conflict among the system administration, developers, and quality analyst engineers as well.

 came. It is an iterative, incremental, and evolutionary process that is way faster than earlier methodology. There, the developers write code and send it to QA engineers for testing.

The coded application works perfectly for developers on their desktops. But for QA engineers, this doesn’t work perfectly. The bugs were found which leads to conflict among developers and operators that leads to delay in releasing software.

 Stack methodology was born. This is aimed to unite the efforts of developers, QA engineers, and system administrators for maximum productivity and tighter integration. That makes the actual build cycles much faster, and relevant with the help of DevOps managed services and 

This article is a complete guide to DevOps Stack and will help you in understanding the concept and implementation process of DevOps Stack.

There are several developers who can take part in deployment. And the system administrators can take part in the development process by writing various scripts. They can look into the code of applications and fix simple issues themselves. QA engineers know how to configure simple things. Another point that is crucial to the DevOps Stack methodology is that despite being simple in execution, routine tasks still take time.

By writing scripts, system administrators can focus on more challenging issues. System admins don’t need to wait for QA engineers to test the fixed piece of code as system admins can do it themselves by running automated tests. This enables all team members to come up with better solutions more quickly.

Developers, QA engineers, and system administrators work on solving problems together as opposed to blaming whoever they dislike the most and saying that the problem is “not on their side”. This results in a massive increase in productivity and speed of delivery.

So, after knowing all that, what are you waiting for?

Let’s see, what DevOps holds in the store for you? How can it help you to build software quickly?

But, before taking a deeper dive, you should know the starting and ending points of this guide.

This guide will take you from the origin of DevOps to its origin, principles, implementation, and services as well.

Let’s take a short tour to know what DevOps Stack is.

DevOps, the very term is the combination of the two terms, i.e., Development and Operation. DevOps Stack is all about the integration of the efforts of the developers and the operators. This integration helps to shorten the system development life-cycle and in responding to changing requirements more flexibly as well.

Before delving much deeper, we should know the roots of the story.

How did DevOps come into existence? And why DevOps?

Earlier, when waterfall methods proved to be a failure, the agile methodology was born. At that time, developers were like let’s try it too. It solved a lot of problems, and the development phase became faster. But, still, half of the problem was solved, not the whole problem. That’s the time when DevOps came into existence.

With DevOps Stack, the concept of continuous integration and continuous deployment was born.

The concept of continuous integration is all about adding new functionality with the prevailing code. Whereas, continuous deployment stands for the deployment of the code on all the servers.

That means everything happens continuously in the DevOps from the planning phase to the monitoring phase. This involves the use of lots of tools like Git, Selenium, JIRA, puppet, and others as well.

DevOps methodology follows the increment approach which helps to release software faster into the market and saves lots of time. This approach helps the team to offer a better quality of application development. This approach addresses the infrastructure issues and reduces the defects in the life cycle.

That is what makes DevOps a preferable approach.

Now, you are pretty familiar with DevOps. Let’s talk about its basic principles!

What are the basic principles of DevOps Stack?

 DevOps team must take action while keeping customer’s requirements in mind. For that, they must constantly invest in products and services.

 The DevOps team should perform its duty properly. This enhances the level of responsibility and the quality of the products engineered.

To improve the products or services offered, DevOps focuses on continuous improvement.

 Automation is a vital principle of the DevOps process. This is not only for software development but also for the entire infrastructure landscape.

In the DevOps culture designer, developer, and tester should work integrated.

 The DevOps team needs to have a robust monitoring testing procedure.

As you are familiar with the basic principles, now, you are ready to learn the implementation part. The implementation part contains some stages.

The first phase of using DevOps is source code management. This phase includes the management of changing the documents, computer programs, large websites, and other collections of information.

Suppose developer X has made a commit and that commit is causing some error.

Now, how will we know the developer X has made that commit? At what time did he make that commitment? Where is the code in which editing has happened?

We can find the answers to all of these questions, once we use version control like Git Subversion.

There are two source code management tools:

This tool uses the central server to store all the files and enables team collaboration. It works in a single repository to which the user can directly access a central server. Every developer has a working copy of the working directory.

So, the moment they want to make any change in the source code.

They can go ahead and make a commit in the shared repository and can even update their work.

But the problem is that this tool is not locally available. And we need to connect it to a network for performing any action.

As there, everything is centralized. Suppose the central server gets crashed or corrupted, it will result in losing the entire data of the project

This tool doesn’t rely on a central server to store all the versions of the project files. Instead, every contributor has a local copy or clone of the main repository.

That copy contains all the files and metadata present in the repository. They can commit and update the local repository without any interference.

And this tool doesn’t need an internet connection, instead, this tool uses a remote server. There, the developers access the data via a hard drive which eases lost data recovery as well.

Continuous integration is all about building your application continuously. This phase includes everything from compiling your code, validating it, code review, unit testing, integration testing, and packaging your application.

The teams can easily detect the problems early as every commit which is made in the repository is built. Suppose any developer made a change in the source code, a continuous integration server can pull that code.

Here, the entire software development takes less time. That’s why the software can be completely developed and delivered at the earliest. In Continuous integration, the developers use SVN, Git, Mercurial, JIRA, CVS to create different forms of the code. They send it to the testing phase.

After the integration phase, comes the delivery phase. There, the developers add new functionality with the existing code. And then, the testing phase takes place to update the new code.

Tools like Jenkins triggers any change made in the code automatically or manually.

The application will be deployed on the test servers to check whether the requirements of the user are met or not and to check bugs as well. Tools like Selenium help in performing automation testing.

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After delivery, the code will be deployed on all the servers for release. It is performed in such a manner that any changes made at any time in the code should not affect the functioning of a high-traffic website. We will be using Configuration management and containerization tools.

Where Configuration Management is the act of releasing deployments, scheduling updates on all servers. Configuration management tools help to execute tasks quickly. Some popular tools that are used here are Puppet, Chef, Saltstack, and Ansible.

On the other hand, Containerization tools help to maintain consistency. Docker and vagrant are the popular tools used for this purpose. It makes your application easy to run on different platforms.

Continuous Monitoring is the last stage of DevOps.

Once the application is live, the monitoring phase comes. In this phase, the operation team will take care of the inappropriate system behavior or bugs that are found in production and determine the quality of the entire DevOps lifecycle.

These improve the efficiency and dependency of the system resulting in a lower support rate. It is done by using tools like Nagios, Splunk, which provide relevant feedback to the concerned team.

These tools help us monitor the application’s performance and the servers. And these tools also enable us to check the health of the system proactively. They can also improve productivity and increase the reliability of the systems, which in turn reduces IT support costs.

What are the services that DevOps offers?

DevOps Managed services is a method to access the data and constraint resolution for the companies that need real-time data. These services help companies to understand their situation. It helps to generate a path to continuously improve their process by resolving ongoing situations.

And the goal of the managed services buyers is to resolve and automate a repeatable process.

It helps to improve the operations with automated deployment and data and helps organizations identify vulnerable process areas to remedy and improve the functionality of the suspect code and provide feedback for continuous improvement.

 – is all about the set of services and tools that automates infrastructure tasks. The main purpose behind this is to migrate on-premises workloads to the public clouds and then manage those workloads after migration for the large enterprises.

 – is all about integrated cloud services that developers and IT professionals use to build, deploy, and manage applications through a global network of data centres.

 – is all about integrated with IAM and audit logging and managing resources by project, folder, and organization based on the hierarchy.

 are the services that help technology-driven enterprises to improve the software delivery process. It also helps their DevOps transformation to increase the speed of delivery, improve the quality, cut the cost, and fewer operational failures by introducing the automating development.

The organizations that don’t know much about DevOps hire the DevOps consultants who are responsible for explaining the values, culture, principles, and practices, showcasing methods, and helping others learn about the DevOps tools.

DevOps consultants have to guide and provide a clear vision to the enterprise.

We hope that you found our blog helpful. After going through the above guide to DevOps, you would be able to utilize the DevOps Stack-based technical solutions for the betterment and impeccable growth of your business with our useful advice and guides.

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