5 Ways Data Analytics Can Help Drive Sales For Your Business

5 Ways Data Analytics Can Help Drive Sales For Your Business

Companies that concentrate on their customers can attain incredible sales figures for several reasons. The current generation of consumers is not impressed with traditional advertising strategies. Instead, they want to feel valued as an individual, meaning they want the company to anticipate the customers’ needs in a personalized an accurate manner. And this level of personalization is something that data analytics can help a company achieve.

As customers’ demands grow, so should your product line. By predicting your customers’ needs, you can get ahead of the game, ensuring that your customer conversion and retention rates remain high. Having said this, it’s necessary to study your competition and how other players in your industry are using customer data to their advantage. If data is not used in a targeted and actionable manner, there’s a good chance your brand will lose traction in your space, paving the way for the competition to increase their share of the market at the expense of yours.

How can data analytics drive sales for your company?

1) Enabling segmentation: Segmentation is the key to building a well-catered product line. One size does not fit all in business these days; if you are trying to sell your products to every population segment, your marketing strategy will likely fail to hit the mark with some customers. A product’s popularity varies based on multiple factors, including buying habits, age, sex, product usage, etc. Through effective segmentation, you can personalize your marketing strategy according to the needs of a specific customer segment. This technique can help you go a long way in deciding what product is best-suited for which customer group, expanding your customer base and increasing your company’s sales figures.

2) Product development: Customization is the key to a good sales strategy. In order to stay ahead of the competition, companies need to compile and analyze data about their customers. Examining customer feedback is an effective way to determine how to sell your product as you can use this information to inform your marketing strategy. Using this information allows companies to work out any inefficiencies in their sales strategies, ensuring they emerge victorious in the competition. For example, companies such as Netflix and Amazon look at the viewer response rate for their shows and use this data to decide which shows to highlight on the homepages of their streaming services.

3) Help customers decide what they want: The best thing about data analytics is its power to make accurate predictions. By using strong predictive algorithms, companies can forecast what customers might want in the future. Not only is this an integral part of the sales prediction model, but it can also go a long way in helping retain the right customers. Customers might want to order the products being showcased and continue doing business with a company if the products they suggested appeal to them, which ultimately bolsters a company’s revenue and profitability. This approach helps companies retain customers as they are constantly reminded of products they may find appealing.

4) Pricing the products right: Pricing plays an integral role in helping companies put their products forward to the customers. Some industries can be extremely competitive, which means that a company can fail if it does not have the right data to inform them what the right prices are for each product. Through the use of data-driven pricing strategies, the right price can be easily unearthed by analyzing the competition, making it possible for companies to set the right prices on the right products. Pricing decisions can also be influenced based on customer spending patterns, allowing the company’s sales teams to ensure a price that is both profitable and affordable is set to a product.

5) Email campaigns: There is no denying that emails are one of the best ways to reach your customers. Having said this, one could also say that analytics can be used to capture which email subject phrases and words are most likely to capture the interest of the customers. This can only be achieved through the use of analytics. Understanding response rates, as well as the best days and times to send emails are useful ways to determine how to advertise products or services to customers via email campaigns.

Analytics can help businesses understand their data, while also helping them conduct a deeper dive into the ways and means in which this data can be used to enhance business operations. The more a company understand the data, the more effectively it can be used. Due to this very reason, it is important for businesses to use the right tools and unearth the right insights in order to inform their decision-making. When done right, this leads to higher customer retention rates and a higher profit margin.

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7 Reasons Why You Should Choose AWS as Your Cloud Partner

7 Reasons Why You Should Choose AWS as Your Cloud Partner

Amazon Web Services, or AWS, is the world’s largest cloud platform, boasting roughly 1 million customers, and raking in $10 billion in revenue every year. Despite steep competition within the space, AWS Cloud has managed to grow at a consistent pace, now owning about 40% of the cloud computing market.

Given its recent growth, AWS has quickly risen the ranks to become one of the top cloud providers in the market. Thanks its staggering growth, a lot of companies are migrating their businesses to the AWS cloud, offering them a slew of benefits.

Here are seven of the biggest reasons why your business should also move to the AWS and adopt them as your cloud provider.

1) Location matters… a lot: AWS is arguably the world’s leading cloud platform as its operations can be found in 64 global zones, as well as 21 geographical locations around the world. The company’s outreach is expanding quickly, truly making AWS a market leader. No matter what part of the world you may find yourself in, chances are AWS is already available for business in your neck of the woods. As it continues to expand its outreach, there are endless ways in which AWS helps businesses with their storage needs, regardless of location. The cloud is available anywhere and everywhere, due in large part to AWS.

2) Well defined disaster recovery: Business continuity is one of the most important factors for a business. On the off chance a disaster strikes, it is important for a company to have a recovery system that ensures its day-to-day operations progress without a hitch, preventing any losses from transpiring. Regardless of a company’s risk tolerance levels, no business wants to find itself facing any sort of downtime that creates a breach of trust with its customers over any period. Having said that, AWS has been built to provide a well-defined disaster recovery plan, which is focused on helping its clients keep their business rolling along as planned.

3) Reliability and consistency: Consistency and reliability are two keywords that aptly describe what AWS cloud is about. Despite having some high-profile outages, AWS has always been the most reliable service. In fact, 40% of the product’s downtime was caused by a single outage. This statistic suggests that outages are not very common within the world of AWS.

4) Scalability and flexibility: The list of AWS advantages does not stop at the aforementioned factors of reliability and consistency factors. Providing a business with the flexibility to scale up or down as required makes it an especially strong service for executives seeking to increase or decrease server space in a matter of mili-seconds. There is no need for any unnecessary procedures or dealing with the morose task of setting up a physical infrastructure, as everything works as it should—in a sweet, simple and concise manner.

5) Simple, automated scheduling facilities: Scheduling and automation are common needs that companies expect out of cloud service providers nowadays. Guess what? The ability to schedule jobs not only allows things to be automated with ease, but also paves the way for a business to run smoothly. The whole idea is to ensure that there’s plenty of bandwidth available to run jobs without interruptions, especially when it comes to manual supervision.

6) Pay-as-you-go: Not many cloud providers have the pay-as-you-go option in their cloud packages. AWS, on the other hand, has, making it the go-to point that people turn to when seeking to save costs, while also helping them benefit from the excellent range of facilities offered within the AWS suite. Start and stop instances within the product according to your needs, and pay only the time spent on the cloud. Adjust your usage levels, scale up and down, and avoid the trouble of setting up a physical infrastructure while having your technical ends meet.

7) Security: No matter what kind of a company you own, whether it’s a startup or an enterprise level conglomerate, chances are security is of the utmost importance to you and your clients. AWS eliminates this fear, offering you world class security that follow the highest regulatory standards. It provides you with dozens of compliance programs built within AWS that pertain to its infrastructure, which are included per each service offered. There’s more, as the services also provide extensive security and support networks geared towards flagging suspicious activity on the accounts, and thereby raising revealing vulnerabilities within the systems.

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Big Data and Cloud Computing – Challenges and Opportunities
Thinking about DevOps culture? Inculcate these 5 must haves to make the most of it
5 Ways Data Analytics Can Help Drive Sales For Your Business
How Cloud Computing is changing the Business World

Big Data and Cloud Computing – Challenges and Opportunities

Big Data and Cloud Computing - Challenges and Opportunities

Two of the biggest IT trends making the rounds in today’s day and age include cloud computing and Big Data. Have you wondered what happens when you combine the two? Something positive may come out of it, while other times, not so much. Let’s explore and see what opportunities and challenges the union of these two worlds present to the users.

Big Data and cloud computing: bridging the gap

Big Data and cloud computing each have their own set of rules and specifications. However, when used together, they are capable of simplifying large datasets, offering value to businesses in a variety of industries and of different sizes. Big Data and cloud computing each offer their own set advantages while also including their own inherited challenges. Nevertheless, both technologies are still in the process of evolution, which is a double-edged sword in each case.

Regardless, there are plenty of companies using the two technologies in tandem to bolster how they operate. The combination of the two offer a number of benefits as they can increase a business’ revenue, while also reducing costs effectively. The cloud is all about providing infrastructure, and Big Data offers data solutions. Together, they can provide organizations with an advantage over the competition.

Advantages of using Big Data and cloud computing together

Agility: Lugging around heavy servers to store data is no longer feasible in the present. In other words, if one has to setup a traditional, physical infrastructure, chances are you will end up burning a hole in your pocket. With cloud computing, setting up the infrastructure is easy, convenient and more hands-off. Cloud computing caters to businesses’ growing need for data management, which makes it easier for companies to optimize how they utilize their resources.

Elasticity: What is one of the best features of cloud computing? The ability to scale servers up and down as data needs change has to be one of them. Data is a volatile variable as it can look completely different from one minute to another. A good service provider needs to be able to accommodate these storage changes at a moment’s notice. This way, an organization can alter their storage space as their data needs change.

Data processing and efficiency: Data can be structured or unstructured, depending on the source it stems from. Data from social media is usually unstructured. Such data needs an efficient system to process it and to derive meaningful insights from it. Cloud computing can be seen as the answer to such problems. When Big Data is used to amass information from social media, cloud computing can be used to efficiently process this data and unearth meaningful insights that can adequately address a business’ needs.

Cost reduction: Cloud computing is a great solution for enterprises looking to make use of their technological tools, especially when on a limited budget. Big However, data platforms can be a little expensive, especially when it comes to managing such data. However, cloud computing makes it so customers need to pay only for the resources they use, with no upfront capital expenditure. It’s also worth considering that as a business’ servers scales up or down based on its data needs, it will only have to pay for the storage space it uses thanks to the cloud.

Simplifying complexities: Cloud computing is well known for its ability to automate business operations. With the various components available to users, there is no shortage of options for organizations looking to reduce the complexity of their operations, while also automating repetitive tasks.

Challenges of using Big Data and cloud computing together

Security concerns: There are security concerns to consider with the union of these technologies, as organizations begin to wonder how to safeguard sensitive, customer information against hackers and fraudsters. Addressing the cloud security risks inherent in cloud computing requires a shared responsibility model. Cloud service providers are responsible for the Security of the cloud, while customers are responsible for Security in the cloud.

Conclusion
The cloud has become the go-to option for organizations looking to beat the competition and benefit from the immense technological advancements the cloud provides. Once such advancements are successfully mastered, there is a wonderful opportunity for organizations to reduce costs, use their technologies tools and manage their data. The end result is often is organizations are able to meet their business goals, making the combination of the cloud and Big Data an ideal one.

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Thinking about DevOps culture? Inculcate these 5 must haves to make the most of it
5 Ways Data Analytics Can Help Drive Sales For Your Business
How Cloud Computing is changing the Business World
Best Practices for Ensuring DevOps Security

Thinking about DevOps culture? Inculcate these 5 must haves to make the most of it

5 Ways Data Analytics Can Help Drive Sales For Your Business

Digitalization has reached a new level, especially as the demand for better experiences has increased. In order to develop and deploy their software production, brands are constantly making use of DevOps to streamline their production cycles and make them more robust.

Let’s discuss what DevOps is all about, and how accepting the DevOps culture can help an organization achieve its goals in the best possible manner.

What is DevOps?

DevOps can’t be classified as a “thing” per se—it’s a set of principles that are necessary for laying the foundation of the developer culture. When one talks about objectives, the first thing that comes to mind is that DevOps is a methodology that is used to speed up the time to market, and further apply incremental improvements within the software space.

DevOps is a set of principles geared towards cross-training a multitude of teams involved in software development and infrastructure operations. In other words, it is a domain responsible for the design, deployment and maintenance of continuous integration and continuous delivery, or CI/CD frameworks.

The best way to integrate the two streams is by involving the development team and the operations team. This way, a channel of communication is opened, fostering a partnership between the two teams. In order to facilitate such communication channels, here is a list of key principles that need to be incorporated to find success in the DevOps space.

Foster a Collaborative Environment

The first and most important principle behind DevOps is the successful collaboration between the operations and the development teams. By creating a unilateral team, the DevOps team can focus on delivering the organization’s common goals and achieve its purpose. The fundamental idea behind this concept is to ensure both the team work together and communicate with each other so that they can share ideas and solve problems together.

This way, one can break down silos and align their people, processes, and technology towards achieving organizational goals. By aligning processes, such specialized teams can create a fluid experience, which can facilitate a culture of developments and deployments across the whole organization.

Create a culture to sustain end-to-end responsibility

Traditionally, developers and operations worked separately, within limited to no interaction between the different teams. However, in the DevOps environment, both teams are forced to work together to achieve the common goals and work as a centralized team. Nevertheless, with the shift in the DevOps culture, there is a different approach to this concept. Inefficiencies are addressed, plus there is a place for everything and everyone within the teams.

Facilitate continuous improvement

With added end-to-end responsibility, there is an additional need to adapt to the changing circumstances in order to evolve with the emergence of new technology, customer needs and any shifts in legislation.

DevOps focuses on continuous improvement, which is aimed at optimizing performance, speed, and cost of delivery.

Automate everything possible

Automation has become the need of the hour. As there is a growing awareness amongst consumers, continuous improvement is needed to meet customer demands. Keeping this thought in mind, there have been notable developments with respect to adopting tools that support automaton, as well as in streamlining the processes which include configuration management, the CI/CD pipeline, and more.

Throughout the automation process, several processes can be automated to perform efficiently with the given resources. This would include infrastructure provisioning, building new systems, software development and deployment, as well as conducting various tests that pertain to functionality and security compliance.

Through DevOps, teams can develop their own automated processes aimed at reducing the development and deployment turnaround time. Machines can be trained efficiently to deploy software quicker than their usual turnaround time, while keeping their reliability intact.

Focusing on customer’s needs
Brands that don’t innovate continuously can’t survive their customer’s demands. For this very reason, brands need to act like a lean startup, which need to innovate as the time changes. DevOps teams must always be on the move to meet their customer’s requirements. The data gathered from the automated processes can be analyzed to check if performance targets are met, which would ultimately delivery customer satisfaction.

Schedule Your Free DevOps Assessment

AWS Summit – New York

AWS Summit - NY

Event Details: The AWS Summit New York is a free event designed to bring together the cloud computing community to connect, collaborate, and learn about AWS. Summits are held in major cities around the world and attract technologists from multiple industries, segments, and learning levels who want to learn how AWS can help them innovate with speed and deliver services with scale, flexibility, and reliability.

Featured Topics: Choose from 120+ technical learning opportunities ranging from introductions to deep dives and includes small group hands-on workshops, lecture-style sessions, and open Q&A chalk talks. Topics will cover, but are not limited to, Machine Learning, Artificial Intelligence, Serverless, Compute, Databases, Security & Compliance, and more.

[Know more about the event]

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.

James Markham – (Regional Cloud Executive at Idexcel) will be attending this event. For further queries, please write to james.markham@idexcel.com

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.

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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.

Conclusion
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.

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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.

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