Idexcel Achieves AWS Migration Competency Status

Idexcel Achieves AWS Migration Competency Status

Herndon, VA – October 15, 2019 – Idexcel, a professional services and technology solutions provider, announced today that it has achieved Amazon Web Services (AWS) Migration Competency status. This designation recognizes that Idexcel provides proven technology and deep expertise to help customer’s move successfully to AWS, through all phases of complex migration projects, discovery, planning, migration and operations.

Achieving the AWS Migration Competency differentiates Idexcel as an AWS Partner Network (APN) member that provides specialized demonstrated technical proficiency and proven customer success with specific focus on Migration Consulting and Delivery. To receive the designation, APN Partners must possess deep AWS expertise and deliver solutions seamlessly on AWS.

“Idexcel is excited and proud to achieve AWS Migration Competency status,” said Allolankandy Anand, Senior Director of Cloud Services Practice at Idexcel. “This is a testament to our team’s dedication and commitment in helping our customers achieve their technology goals by leveraging the agility, breadth of services, and pace of innovation that AWS provides.”

AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise.

Idexcel’s cloud migration services help organizations not only undergo a successful cloud adoption journey, but also benefit from a structured well architected framework that guides them through the process of enhanced and accelerated transformation of their infrastructure, processes, people and technology. Our migration approach specializes on aligning architectural design with a data driven approach and AWS WAF (Well-Architected Framework) principles to create an on-demand environment for experimentation and innovation for our customers.

About Idexcel

Idexcel is a professional services and technology solutions provider specializing in Cloud Services, Application Modernization, and Data Analytics. Idexcel is proud that for more than 21 years it has provided services that implement complex technologies that are innovative, agile and successful and have provided our customers with lasting value. Our name, “Idexcel” is a representation of our core principle “Ideas to Excellence” We are relentlessly driven by results and take pride in our customer-centric engagement models. We blend our clients’ needs with proven delivery models and highly talented execution teams to deliver an exceptional customer experience.

Headquartered in Herndon, Virginia, Idexcel has offices and delivery locations in the US, Europe and Asia supporting global clients.

How Cloud Computing is changing the Business World

How cloud computing is changing the business world

The cloud has become an integral part of our professional lives, as the technology provides every worker with the tools to perform complex operations via the simplest of methods.

In recent years, the cloud has emerged as the most in-demand solution for companies in virtually every industry, due in part to its ability to transform existing business models. As companies’ IT needs continue expanding, there is a larger amount of data being accumulated with every passing second. Due to this growing need, businesses need to be equipped with the tools capable of analyzing this data in order unearth valuable insights from it.

While the cloud can save files and parse data, it is capable of so much more. Read on to understand how cloud computing is changing the business world.

1. Operational improvements: Growth is inevitable; as companies grow, so do their operations. Buying servers or allocating server space solely using on-premise solutions is a thing of the past. Nowadays, cloud service providers such as AWS and Microsoft Azure can help increase your storage capacity, ensuring that your data needs are always met. Cloud providers provide you with added server space, charging you based on the storage amount and time spent on the server. Through this service, companies can easily scale their business applications and operations according to demand at a lower cost than the alternative. Scaling up or down is affordable and flexible, as organizations pay for what they use. For organizations with a large amount of resources, there are a host of new applications that can benefit them immensely.

2. Deal with customer needs effectively: A solid customer support strategy is key to the success of a company. The cloud enables the creation of effective, customer-oriented apps, adding a level of personalization to customers’ app experiences. Company employees around the world can access information regarding a customer’s in-app experience. These workers can then use this information to offer that customer feedback and support relevant to the customer’s situation in real time. The cloud has essentially simplified the process of connecting employees and customers in a mobile or desktop environment.

3. Cost savings and cost reductions: Centralized data stored within the cloud allows anyone to access the same piece of information from different locations around the world. This solution helps save time when it comes to reaching a resolution surrounding an issue. Since an organization’s time is extremely precious, the cloud can help enhance productivity and save costs. In other words, workers can get more done over a shorter span of time.

4. Cost effectiveness Another factor worth considering about the cloud is its ability to lower costs. Due to the fact that a company pays for its storage space and the time spent online, there can be massive savings in terms of server rents and other associated structural costs. When it comes to traditional methods of server hosting, IT teams have often needed plenty of manpower to maintain and update these servers. With the cloud, there is no need to use too many resources for this purpose as everything is taken care of by the cloud vendors. This translates to better savings for a company as there is a lower overhead and less workers necessary to maintain the server. The responsibility of maintaining the cloud’s operations is handed over to the vendors, relieving the company of these responsibilities.

5. Security is important: Cloud providers are rapidly enhancing their services to help companies meet their security demands. We live in a word where data security has become more important than ever, especially at a time when data breaches are happening left and right. When one compares on-site servers and online servers, cloud servers will always emerge as the clear winners. Cloud service providers configure their services to meet a company’s needs, which is further enhanced with top security software and other tools to keep its data safe. All data is stored in a centralized location, which is protected with ironclad security tools, guaranteeing that there is the maximum amount of security protection for your online data.

6. Enhanced flexibility: When it comes to the cloud, there is plenty of flexibility available to the employees of a company that adopts cloud solutions to its fold. Employees located all over the world have greater mobility and flexibility to access customer-based data, which was previously not possible due to location restrictions. Everything is available online via the cloud, eliminating the need to use hard copies of the data. Storage is easier, and everything has become available, no matter the time or location restrictions.

Also Read

Best Practices for Ensuring DevOps Security
Business Benefits with Serverless Computing
Data Backup and Recovery in Cloud Computing
Six Secrets to Big Data Success

Best Practices for Ensuring DevOps Security

Best practices for ensuring DevOps security

It is often the case that there is no intersection between security modules and DevOps in a manner that is convenient. Naturally, security is an integral part of an organization, but the way we introduce its tenets at every crucial part of the DevOps process has been difficult to achieve since its inception. Usually, due to a general lack of expertise in the matter, the implementation of security becomes unbalanced, which hampers the speed and agility of the environment. The solution lies in partnering with the right team to lay out the security measures intelligently. Here’s how you can achieve this:

1. Implement latest policies
Your governance policies must be updated throughout the evolution of your company. While most codes of conduct remain omnipresent and intact within every company, some behavior control is specific to each company’s unique set of IT protocols. These codes of conduct must be properly followed throughout the entire pipeline to ensure there is zero leakage of data. Creating a transparent governance system also provides the engineers with the opportunity to openly share their concerns over anything that may seem fishy within the company. Many people overlook this aspect of security for being non-technical and moralistic, but enforcing and fostering such an environment in DevOps leads to long-term benefits.

2. Integrate DevSecOps
Optimally-secured DevOps requires collaboration from multiple paradigm internal functions to ensure that the security measures are implemented at all stages of the development cycle. Development, design, operation, delivery and support all require equal care and maintenance, and DevSecOps ensure you that you achieve this balance. DevSecOps is embedded throughout the DevOps workflow for balanced governance, and it renders cybersecurity functions such as IAM, privilege management, unified threat management, code review, configuration review and vulnerability testing. In such an environment where security is properly aligned with DevOps, you are able to attain a higher profit margin while minimizing costly recalls and post-release fixes.

3. Ensure vulnerability management
Systems should be thoroughly scanned and assessed to ensure there is security adherence at developmental and integration levels in a DevOps environment. The task of such an assessment is to inform the team of all the possible loopholes in the processes before production begins. Penetration testing is a great tool that helps track down weaknesses at these levels so that a prompt response can patch these issues.

4. Implement Automation
Human intervention increases the chances of errors in intricate tasks such as IAM, privilege management, unified threat management, code review, configuration review and vulnerability testing. It is best that you automate these processes in order to get more time to run security tests on your already refined product, while also minimizing system downtime and reducing vulnerabilities. Automating security protocols helps by not only increasing the speed of your testing and management, but also by improving your profits significantly.

5. Perform device testing
We often forget that the machine on which systems are working also need to be constantly checked for their performance, both in terms of efficiency and security. You cannot perform securely even if you have a software with top-tier security features if the machine on which it is loaded is malfunctioning. Ensure that these devices throughout the entire DevOps cycle are constantly being validated in accordance with your security policies.

6. Segment the networks
A continuous network flow might keep things easy and straightforward, but going this route will also make it easier for cybercriminals to access your servers. This problem is easily addressed by ensuring there is limited access on your application resource server. You can segment the networks so that no one error is spread throughout the DevOps environment, while also ensuring that no hacker has full access to all the data spread on the network.

7. Improve privileged access management
Admin controls provide a window in taking control of the data. The higher number of people have control over it, the more anarchy there is at handling the systems. Therefore, in an agile DevOps environment, try to minimize administrative privileges on various machines wherever possible because the more accessed a data point is, the more prone it is to security threats. Instead, you can store private and sensitive data on only a few local machines because apart from improving your security, doing so also makes it easier to manage. From this point on, you can monitor the legitimacy of your security in the aforementioned environment.

When paired smartly, Security and DevOps culminate in a productive intersystem. The tenets for reducing errors includes the identification of errors and scope of errors, limiting access to the network, ensuring there is minimal access, as well vulnerability management. The focus in DevOps must be more on the prevention of error rather than rectification of it. The tips outlined above help you achieve exactly that.

Also Read

Business Benefits with Serverless Computing
Data Backup and Recovery in Cloud Computing
Six Secrets to Big Data Success
What You Need to Know Before Migrating Your Business to the Cloud

Business Benefits with Serverless Computing

Business Benefits with Serverless Computing

The cloud has redefined the way we look at technology. One such redefining moment occurred in 2014 when Amazon Web Services (AWS) unveiled serverless computing, AWS-Lambda, that promised a few previously unforeseen advantages to businesses. Serverless computing, as the name suggests, requires no server housing, in addition to the benefits of continuous scaling and balancing, automatic fail-over, and sub-second metering (pay as you use). Below, we have listed in detail five ways through which your business will benefit from serverless computing.

Cutting Production-to-Market Distance

Conventionally, in a business, you are required to afford a production house wherein you will house your planning, design, and development, before final production; this requires you to manage infrastructure, server setup, and storage capacity with an immediate effect. With serverless computing, you no longer have to worry about these hurdles that mediate between your production and its market readiness. All you need is a serverless computing provider who will take care of your server needs immediately, and you will not need to dedicate a particular place for carrying the planning design and development—all of that can be managed on a serverless cloud.

Increased Benefits

With sub-second metering, wherein you only pay for the resources you have used, production costs are cut significantly which enables you to provide your product at a competitive price. Further, housing and maintaining servers is perhaps the costliest component of business for some enterprises which rely heavily on servers, such as online games and data retrieval websites/applications. Therefore, by using serverless computing, at one hand you eliminate the production-to-market, and on the other side, you cut down your costs — this directly leads to competition readiness where your product is better, cheaper and readily available.

Minimizing Fixed Costs

Fixed costs keep a substantial value of your product stable, irrespective of the delivery time, quality or price. Your product price has to be flexible to accommodate market competition. If competition arises, you have to be ready with strategies that give your product a better edge over the competing product. Serverless computing enables you to turn your fixed costs into variable costs by rendering continuous scaling and balancing. You no longer have to worry about maintaining your fixed assets that get occupied in housing servers. Turning these fixed costs into variable costs gives you the advantage of being flexible with the price decision.

Easier Pivoting

New businesses often need to relocate their focus of attention depending on their target audience. Serverless computing allows you to rotate this focus of care for the application that can be used differently in varying conditions. The pivoting might include revamping the application/website or redefining media promotion according to the required task. With serverless computing, you can have unlimited scaling which enables you to widen your market reach. You can also use containers (individualized services) to enhance the pivoting, since in that scenario you will not need massive rearrangement of your service packages, to keep you from an entire service crash.

Improved Development Management

From planning to production, application building consists of many sub-steps. Two most important of these are development and testing. Serverless computing gives you advantages that are otherwise absent from server computing. For example, serverless computing helps you to have a better overview of the development through independent service management. You can track and plan your progress of an individualized service according to its current status. Furthermore, these services are very convenient to be tested—the code is clean, organized and therefore easy to track. With these advantages, it becomes natural for development to be accelerated and checking to be more accessible and precise.

Serverless computing has many advantages in treasure for businesses. Through the help of serverless computing, products can be market specific, cheap, advanced, and adapt, all at the same time. All they need is an excellent service provider who unfolds to the business owners the vast repertoire of advantages of going serverless. Businesses can be competition ready through optimized development and testing and timely delivery of the optimal product at a reasonable price.

Also Read

Data Backup and Recovery in Cloud Computing
Six Secrets to Big Data Success
What You Need to Know Before Migrating Your Business to the Cloud
Why You Should Care About AWS Well-Architected Framework

Data Backup and Recovery in Cloud Computing

Data Backup and Recovery in Cloud Computing

The cloud has become one of the hottest topics of conversation in the world lately. Thanks to its plethora of advantages, it has become an essential part of the data storage market for organizations of different sizes in a variety of industries. When one talks about data storage, data backup and data recovery also become integral parts of the conversation as well.

Given the increasing number of recent data breaches and cyber attacks, data security has become a key issue for businesses. And while the importance of data backup and recovery can’t be overlooked, it is important to first understand the what a company’s data security needs are before implemented a data backup and recovery solution within the world of cloud computing.

1) Cloud cost: In most cases, just about any digital file can be stored in the cloud. However, this isn’t always the case as the usage and the storage space rented are important elements that need to be taken into account before choosing a disaster recovery plan. Some data plans can include the option of backing and recovering important files when necessary. They can also include options on how they are retrieved, where their storage location is, what the usage of the servers look like and more. These elements might seem trivial in the beginning, but they may prove to be important later on during the disaster recovery process. Different cloud vendors provide server space to businesses according to the their usage, and organizations need to be clear about what they are storing in the cloud, as well as what pricing tier plan they would like.

2) Backup speed and frequency: Data recovery is not the only problem on tab when considering data backup within the cloud. Some cloud providers transfer up to 5TB of data within a span of 12 hours. However, some services might be slower, as it all depends on the server speed, the number of files being transferred and the server space available. Determining and negotiating this price is an important point to consider in the long run.

3) Availability for backups: During the disaster recovery process, in order to keep a business firing on all cylinders, it is important to understand the timelines for recovering the back p data. Backups should be available as soon as possible to avoid any roadblocks that may negatively impact the business. The cloud vendor can inform you of the recovery timelines and how soon backed up data can be restored during a disaster situation.

4) Data security: The security of stored data and backups needs to meet certain security guidelines in order to prevent cyber criminals from exploiting any vulnerabilities. The cloud vendor needs to ensure the all backed up data is secured with the appropriate security measures such as firewalls and encryption tools.

5) Ease of use: Cloud-based storage comes with its own set of servers, which should be available from the business location and any other locations as needed. If the cloud server is not available remotely as well as from the business location, it won’t serve the purpose it is needed for. User experience should be an important factor in the backup process. If the procedure for data recovery and backup is not convenient, then it might become more of a hassle.

Data recovery is an integral part of the cloud computing world and it needs to be taken seriously with a great degree of planning from all ends.

Also Read

Six Secrets to Big Data Success
What You Need to Know Before Migrating Your Business to the Cloud
Why You Should Care About AWS Well-Architected Framework
Infographic: Cloud Migration Overview and Benefits

Six Secrets to Big Data Success

Six Secrets to Big Data Success

Big Data has played a role in helping a number of industries immeasurably, as its role in the business world is becoming more important with each passing day. However, even though the utility of Big Data in a professional setting is immense, there are very few organizations capable to utilizing the technology at an optimal level to boost their operations.

A large number of companies fear that they will make mistakes with the technology, which stops them from moving forward with Big Data analytics and maximizing its value. This is because, when used poorly, Big Data analytics can make false predictions for the future. However, when implemented correctly, Big Data offers a lot of upside to an organization. Combine its capabilities with a focused vision and a competent team, and there is a good chance the technology will bolster your company’s operations and profitability.

Keep reading as we will help you develop such vision with our insights on how you can be successful with Big Data.

1. Skills matter more than technology

It’s no secret that without the right technological tools, it is nearly impossible to succeed in a growingly competitive and sophisticated business world. Nevertheless, technology alone is not enough to help you attain this success—having the skills to operate the technology properly is also needed. While talking of Big Data, your team’s skills are far more important than the technology itself since technical ability has a very small role to play in Big Data analytics. The Big Data analyst must have know how to come up with right business questions, developing a clear forward path to make the best of the technology. The analyst must also be competent enough to parse and analyze the unstructured data through pattern recognition and hypothesis formation. Eventually, the analyst should know how to use the appropriate statistical tools to generate a predictive analysis. It is not necessary for the analyst to have all these qualities before joining the organization. Instead, the organization must conduct workshops every now and then to update analysts on the latest uses of Big Data to add value to your business.

2. Run necessary pilots

Big Data Is generally adopted by firms that want a predictive analysis of market trends that they can use to to plan for their future. Such predictions are not always unearthed in a manner that ends up being useful to your organization. If the predictive data cannot be applied to your business, Big Data will not yield the fruits of success that you seek. Therefore, it is highly advisable that when looking for data-based predictions, you should run a pilot to determine whether your predictions can be applied to improve your systems or not. Doing so will not only help you rectify your errors, but will also help you redefine your prediction in a manner that better suits your market needs. Furthermore, running a pilot will also reveal any weak points on your plans from their inception through the execution of them. Thus, one pilot will strengthen the quality of your operations, as well as the overall strategies of your business.

3. Formulate targeted analysis

It is imperative that the data you compile from the market is raw and unstructured. The amount of data available is expected to grow eightfold over the next five years, according to Gartner, most of which will be unstructured. Keeping this in mind, organizations must ensure they are ready to parse and analyze the data in a manner that will be beneficial to your business. Targeted analysis is key as one dataset may be used to unearth insights about multiple topics, while other pieces of information may not need to be extracted as they may not be relevant to your goals. Know what you’re hoping to achieve before extracting insights from your datasets, and then proceed to analyze the data. Having the right technological tools beforehand that you can use to store and analyze data is key. Always keep a backlog with indices for relevant interpretations of the data, so that when you need to extract information from the same dataset in future, it will be readily available for any future analysis.

4. Extract the best data possible

Even a small dataset can sometimes prove to be effective in developing predictions, while it is also equally possible for big sets of unstructured data to lead you nowhere. Aim to always narrow the focus of the data you compile for analytical purpose without compromising the robustness of the predictions. Going this route will save you plenty of time, while also helping you attain an accurate and actionable prediction. Don’t continue running massive sets of unstructured data in the hope that it will definitely lead you to a robust prediction as this is a waste of your time.

5. Keep predictions within your organization’s operational ability

Do not aim for predictions that lie outside the ability of your firm. Not all organizations are equipped with the skills and technological prowess to make the most of your predictions, so make sure your predictions are targeted within your means. Most organizations have a limited amount of wiggle room and the challenge is to come up with predictions that your organization is comfortable with. Do not exhort unnecessary operational pressure on your organization because it will only hamper the pace and confidence of your workers.

6. Be adaptive

The best results in Big Data analytics are achieved when the most actionable predictions happen to be affordable for your firm. As discussed earlier, don’t place an unnecessary burden on your firm in the hopes of achieving the best prediction possible. Instead, bring adaptive changes to your firm slowly in a way that will help it accommodate the best of ideas. When these ideas match the capabilities of your firm, great results will be only an arm’s reach away.

Also Read

What You Need to Know Before Migrating Your Business to the Cloud
Why You Should Care About AWS Well-Architected Framework
Infographic: Cloud Migration Overview and Benefits

What You Need to Know Before Migrating Your Business to the Cloud

What You Need to Know Before Migrating Your Business to the Cloud

Moving to the Cloud might be on every organization’s agenda, but the constant question to ask is, “Are these organizations ready to make a move to the Cloud?” The benefits of the Cloud might be numerous, but every organization needs to be prepped before the move can be successfully made. To get the most out of the move to the Cloud, here are a few necessary steps which need to be performed before moving to the Cloud.

Does the Cloud Have all the Resources to Sustain Your Needs?

The first step is to understand what resources you would need to post your move into the Cloud. During the investigation stage, check what hardware your business already has, and all you would need to move to the Cloud successfully. You need to take into consideration all your applications, web servers, storage possibilities, databases, along with the other necessary components. These days, most businesses are relying heavily on AWS services, along with databases like RDS and NoSQL to do their bidding.

An organization can make use of AWS services like EC2, S3, Glacier, and RDS amongst many other things. This way, one can understand the Cloud and its service options, while there are other ways to understand the different resources available within the Cloud. The idea is to know if these resources are enough for you to manage your deliverables.

Which Applications Go First?

This concept is a crucial factor since an organization can have a series of applications, which need to be migrated to the Cloud. During the migration stage, an organization has an option to push everything in one single instance or migrate slowly and steadily over some time. If you are doing the latter, you might want to identify the most critical applications to be relocated, which might be followed by the rest of the applications. On the contrary, you can try and push those applications which have minimum complexity, and dependencies, so that post-migration, there is minimum impact on production and operations.

How do You Use Scalability and Automation?

The Cloud is well known for its scalability and automation options, amongst other benefits. If you are using AWS, then you will soon understand that you have the opportunity to design a scalable infrastructure, right at the initial stage, which can help support increased traffic, while allowing you to retain your efficiency model. You have the liberty and flexibility to scale horizontally and vertically, depending on the resource availability. These are some excellent discussions which can be looked at, right during the planning stage, as these are primary factors worth considering in the long run.

How does Software Licensing Work?

Software licensing might look like a cake walk, but the reality is far from it. After moving into the Cloud, your software might need some additional licensing, which might not be available as and when you need it; this can be discussed with the Cloud vendor, at the time of negotiations. Licensing might seem like a big step, involving heavy financial budgeting; make sure you speak to your legal and business teams, before finalizing the list of software to be moved to the Cloud.

How Can We Make the Transition?

One has to understand that moving to the Cloud is no simple task. Having said this, it is essential to decide the migration plan, and what all it will entail. There is a lot of critical planning which goes into determining the type of Cloud service to undertake; an organization needs to weigh the pros and cons of each kind of Cloud model, and accordingly make a move. There are three types of Cloud services which are currently prominent: private, public, and hybrid. As per the cost, security needs, and other factors, an organization can narrow down the options and choose the one with the best fit.

What About Training Staff to Work in the Cloud?

While this might seem to be a bit overrated, it’s nonetheless essential to train your staff to work on the Cloud more seamlessly and efficiently. Rest assured, your team would face a few teething issues, considering the exposure to an altogether new environment, which might not seem as conducive in the beginning, as you might want it to be. Identify the teams which will be on-boarded to the Cloud first, and create elaborate training manuals to help the teams move forward and adopt the Cloud to the best possible extent.

See how Idexcel can help your cloud migration strategy with a free Asset discovery and Dependency mapping report

Why You Should Care About AWS Well-Architected Framework

Top Digital Transformation Trends in the Financial Industry

The framework for AWS is the structure that allows engineers or more profoundly, a broader group of IT professionals to architect any problem or project adequately. So this brings us precisely to the point, “What is the AWS architecture and why should an organization give it any importance?” Let’s find out more about it.

Why are AWS Architectural Frameworks Necessary?

Five specific pillars have been perfectly designed within the AWS framework; the structure has been finely tuned keeping in mind the underlying purpose of AWS. These pillars will permit the developer to evaluate the infrastructure at hand, thereby allowing the Cloud to be utterly compliant while making use of the best practices at hand.

The Five Structured Pillars of the AWS Framework

The AWS framework consists of five pillars that enable proper structure and efficiency in the Cloud; these include reliability, security, performance efficiency, cost, and operational excellence. This framework is durable, scalable and allows for greater flexibility than any of its immediate competitors.


As one of the main pillars, Reliability showcases the ability of a system to recover from any service disruption; this ensures that the system is architected in such a way that it automatically provisions resources based on demand, and automatically heals itself in case of any misconfiguration or network issues and system downtimes.

This pillar focuses specifically on implementing measures that influence the reliability of a system. Any negligence to this can hurt the availability of the application. For this very reason, the framework is often preferred, given its feasibility and capabilities to provide uptime at all times.
By following the framework rules for this pillar, an organization can eliminate the impact of any potential failures and by doing so, design their infrastructure effectively.


Being active with any online activity that includes data, especially an organization’s data, make security one of the most significant and most essential pillars within the AWS framework. For instance, If you are being offered a service regarding Big Data, any data service provider you work with must follow the proper security protocol to help sustain the security standards of preserving large volumes of data.

The security pillar will enable the protection of information, assets, and systems; this can be facilitated by delivering proper value through effective risk management, as well as by generating mitigation strategies for fraud prevention purposes.

While architecting any system, the number one thing you have to have is minimal access to the infrastructure. Not having addressed this will lead to the leakage of data, which can cost your company millions of dollars. Confidentiality and integrity of data have to be maintained by all possible means like protection of system and services, identity and access management and robust data protection. As Cloud is a Shared Responsibility Model, AWS also takes the responsibility of physically securing the infrastructure in addition to efforts from the customers’ end.

Performance Efficiency

The third pillar is performance efficiency; it plays a crucial part when it comes to the proper usage of computing resources. This way, the architecture needs to be designed in such a way that the appropriate system requirements are met with growing demands within the technological realms. A periodical review of the choices furthermore allows for services to evolve and consistently continue to improve as new methodologies are introduced within the cloud.

The performance efficiency pillar allows the delivery of the best experiences to users since it insists on regular review of your resources and helps in right-sizing our infrastructure for higher performance.

If you’ve experienced any performance-based issues in the past, with any other service provider, you can rest assured that AWS will help you build architectures that ensure performance efficiency. Taking into consideration factors like monitoring, cyclical review process, load tests, trade-offs, etc. will ensure that this fundamental pillar is laid for you.

Cost Optimization

Practical Implementation of this pillar lies mostly in the hands of the customer; this is usually achieved over the time by endless iterations of review of resource utilization and appropriate selection of the resources for your use case. Used for eliminating additional costs and unnecessary resources, AWS uses the saved money to add extra benefits to your company.

After assessing your business and overall usage of AWS, this framework is equipped to eliminate the costs of any underused services. Customers also need to ascertain that any cost-effectiveness should not come at the expense of performance degradation; this will reduce the total cost of services and get rid of unnecessary resources in your overall business infrastructure. There are services, cost-effectiveness programs, and other purchasing options offered by AWS, that will help you implement this process.

Operational Excellence Promised

Finally, operational excellence is a pillar that stands firm in the AWS-architectural framework; it enhances the ability to improve operational procedures and daily practices, which are implemented to manage your business’s production workload.

Various changes are implemented, executed, and automated, to provide you with better efficiency. The three best practice areas, as recommended by AWS, Prepare, Operate and Evolve should be adopted and adhered continuously in the long run to achieve this pillar.

These processes are also tested, reviewed and documented daily to allow for even more reliability, making the AWS-architectural framework the best service provider that allows for optimal performance, growth, and sustainability of your business.

Get your free AWS Well-Architected Framework Review