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Google Cloud vs AWS- Which is Better: A Comparison

Cloud computing has become an integral part of the IT sector. The days of struggling with complicated networking and on-premise server rooms are long gone. Thanks to cloud computing, services are now secure, reliable, and cost-effective.  When we talk of top cloud computing providers, there are 2 names that are ruling the markets right now- AWS and Google Cloud. Here, we are going to compare both of them, determining the pros and cons of both. Before we start with the comparison, you should have an understanding of the latest trends in the field of cloud computing.  In the sixth annual State of the Cloud Survey of the RightScale, where over 1,000 professionals were interviewed, there were some interesting findings that came out: One of the biggest challenges the cloud computing industry faces is the lack of expertise and resources. Some professionals were worried about the security related to using the services provided by cloud computing.  There were a few professionals who thought that performance was a major challenge they faced while using cloud computing services. The report was published in 2016, and since then significant changes have occurred in the field of cloud computing. Hosting sites at AWS and Google Cloud has become fairly easy. There are multiple WordPress hosting providers allowing you to use the cloud without worrying about the technical aspects of cloud computing. Several large enterprises are investing in their engineers and employees and helping them gain certifications offered by cloud computing platforms: AWS –AWS Solutions Architect, AWS Developer, DevOps Engineer, SysOps Administrators Google Cloud - Cloud Architect, G Suite Administrator, Data Engineer Over the past couple of years, security and performance have significantly improved. This is because cloud computing providers have come up with new ways of securely hosting data and delivering it faster. All the traffic between the data centers is now encrypted by default. When it comes to public cloud adoption, AWS is still the leader. The main reason behind this being that AWS was the first cloud computing service to be launched and has significantly shaped the cloud industry. However, other cloud computing providers like Google Cloud and Azure have seen significant growth too.  Let’s take an in-depth look at these two market leaders in cloud computing to help you select the best one for your organization. Google Cloud Platform With all the different solutions and services provided by the Google Cloud Platform, you will be able to use the same hardware and software infrastructure used by Google for its own products like Gmail and YouTube. Their first service, Google App Engine, was launched in 2008 in public purview. Here are some of their products: Google Compute Engine Google Cloud Bigtable Google Cloud CDN Google Cloud Datastore Google Cloud DNS Google Cloud Functions Google Container Engine Google BigQuery Google Storage According to the Chief Executive Officer of Google, Sundar Pichai, Google Cloud Platform is one of the top three priorities for the company. The annual run rate for the platform is over $8 billion.  Amazon Web Services (AWS) A subsidiary of Amazon.com, this cloud computing service was launched in 2006. Since then, it has offered multiple solutions and services. Here are a few of their products: Amazon CloudFront Amazon DynamoDB Amazon EC2 Container Service Amazon Elastic Beanstalk Amazon Elastic Compute Cloud Amazon Lambda Amazon Redshift Amazon Route 53 Amazon S3 There are some big brands that are using the service provided by the AWS Cloud including Netflix, Nasa, Lamborghini, Time Inc., Airbnb, Expedia, etc. Comparisions Between Google Cloud vs AWS There are many services that are similar between Google Cloud and AWS. With so many products offered by both, we can’t compare them product wise. Instead, we will be covering them according to their compute instances, storage, networking, and billing features. 1. Cloud Let’s compare how both the providers handle their instances i.e., their virtual machines. For virtual machines, Google cloud uses KVM while AWS EC2 uses Xen. Both the technologies offer predefined configurations with a specified amount of network, RAM, and virtual CPU. However, Amazon EC2 refers to them as instance types while Google Compute Engine refers to them as machine types. With AWS EC2, you can equip up to 3,904 GB of RAM and 128 vCPUs. For Google Compute Engine instances, you can equip 3,844 GB of RAM and 160 vCPUs. Google Cloud also allows departing from the predefined configuration and customizing your RAM and CPU resources for fitting your workload. There are other types including AWS EC2 Spot Instances and Google Cloud Preemptible VMs. 2. StorageThis is a very important consideration as it will directly impact the performance of your applications like max IOP per instance/volume, expected throughput (IO), and the ability of bursting capacity for short times. When comparing AWS and Google, there are two types of primary storage that need to be considered: object storage and block storage. Block storage is the virtual disk volume that is used in conjunction with cloud-based virtual machines. AWS EC2 provides this with its Elastic Block Store (EBS) while Google Compute engine uses persistent disks. Object Storage, also known as distributed object storage, are hosted services used to store and access a large number of blobs or binary data. Google Compute Engine uses Google Cloud Storage to provide this service while AWS uses the S3 service for this. Apart from the above-mentioned, both the providers also allow the usage of disks locally attached to the physical machine that is used to run the instance. When compared to persistent disks, this local storage provides very low latency, very high input/output operations per second, and superior performance. You can even achieve several GBs of read and write speeds with this storage, which is incredibly huge. AWS EC2 calls them instance store volumes while Google Cloud refers to them as local SSDs. Google Cloud allows attaching local SSDs to any type of instance. In the case of AWS, only the X1, R3, M3, I3, I2, HI1, G2, F1, and C3 can support instance store volumes. In 2017, Google Cloud announced a price cut on local SSDs for preemptable and on-demand instances. 3. NetworkBoth the providers use different partners and networks for interconnecting their data centers and delivering content to end users via ISPs. For accomplishing this, different products are used. When it comes to Google Compute Engine instances, the achievable network capacity is based on your VM’s CPUs quantity. For peak performance, every core is provided with a 2 Gbits/second cap. Every core increases the network capabilities to a maximum of 16 Gbps for every virtual machine. Amazon EC2 instances, for the large instance sizes, have a maximum bandwidth of 25 Gbps. 10 Gbps/second is the maximum speed for standard instances. When you are comparing the network capabilities of both the providers, network latency plays a major part. When you are working with the business with visitors from a particular geographic location, latency is important. For example, if you have a website in Frankfurt and more than 90% of your customers are from Germany, you will benefit from placing the site on a server in Germany rather than placing it in Asia or the United States. This can make a difference of about 2 seconds. It includes other factors as well like TTFB, DNS, etc. Both, the AWS and Google Cloud, have multiple locations across the globe for you to choose from. On a latency test conducted using Cloud Harmony that offers impartial, reliable, and objective analysis of the performance, 50 servers located around the globe were utilized. The results showed that Google Cloud offered better latency. But the test was run from a specific location. Different location can give different results. For measuring ping times and latency, you can try spinning up small instances on both the providers and running your own tests. 4. BillingBoth providers have a different approach for billing. Both of them also have a very complicated way of doing it. You can try checking out their monthly calculators: Google Cloud Platform Pricing Calculator AWS Simple Monthly Calculator Calculating this monthly amount is not an easy task. There are tools like Cloudability and reOptimize that are built entirely for helping you better understand your bills. Google Cloud Platform uses its BigQuery tool for providing estimated exports. AWS has a dashboard providing insights to your bill. However, both of the cloud platforms are working their best to reduce costs and making billing easier. In September 2017, AWS announced per second billing. This works great for clients who are working on spinning up new instances and carry out a large amount of work in a short duration. After this, Google Cloud also launched the per second billing. This just shows the intense competition between the two where they are simultaneously launching new products. If you are seriously invested in one of the platforms, they will provide you with various ways to save costs. Reserved Instances is one such way by which AWS EC2 offers a significant discount and when used in a particular availability zone, provides a capacity reservation. There are 3 types of reserved instances: Standard Reserved Instances Scheduled Reserved Instances Convertible Reserved Instances Google Cloud uses Committed Use Discounts to all the customers of Compute Engine. So basically, in return for discounted prices, you have to buy the committed use contracts. After analysis, it was found that on using the 1 year standard RI of AWS vs the 1 year committed use discount of Google, the Google’s environment cost 28 percent less than AWS. The 3 year program for both the discount types led to 35 percent less cost in Google environment as opposed to the AWS. 5. Support and UptimeBoth, the AWS and Google Cloud, have multiple community forums and documentation that can help you understand their services for free. AWS Forums Google Cloud Forums AWS Documentation Google Cloud Documentation However, you will have to pay for instant support or assistance. Both of them have support plans. We strongly recommend that you read the fees involved in both before availing of the assistance services. Both of them offer unlimited number of billing and account support cases without any long-term contracts. For Google, there are 3 levels of support available - Silver, Gold, and Platinum. The cheapest plan is the Silver one starting at $150/month. The Gold plan starts at $400/month. You will also be charged a product usage fee of minimum 9% which will decrease as your spend increases. AWS provides 4 levels of support - Basic, Developer, Business, and Enterprise. The cheapest paid plan is the developer starting at $29 per month of 3% of your monthly usage. The Business plan starts at $100 per month along with 10% of product usage fees which will also decrease as the spend increases. When it comes to monthly uptime percentage, both have SLAs providing at least 99.95%. For staying up to date with the incidents, you need to subscribe to their status page. However, both the providers have delayed updating their status dashboards. With AWS, you have the advantage of having different machines within multiple availability zones per region. On the Google Cloud, the same machine per region might have all your instances. However, with Google Cloud you have the ability of live migrating the virtual machines which allow addressing issues like patching, updating and repairing without worrying about the machine reboots. 6. SecurityIn the Clutch’s Second Annual Cloud Computing Survey, it was found that about 70% of professionals felt secure storing their data in the cloud than on their previous, on-premises legacy systems. With Google Cloud Security, you get the benefit of a security model that has been developing over a period of 15 years and is securing products like Gmail, Search, etc. There are about 500 full-time security professionals employed by Google. It provides security features like: All the data in the cloud platform services and in transit between Google, data centers, and the customers is encrypted by default. 256-bit AES is used for encrypting the data stored on persistent disks. A set of regularly changed master keys are used for encrypting the encryption key. Regular audits are used to commit to the security certifications of the enterprise for PCI, SSAE16, ISO 27018, ISO 27017, and HIPAA compliance. Thanks to Google’s relationship with the biggest ISPs in the world, there are fewer hops across the public internet which improves data security. The layers of the storage stack and Google application require that all requests coming from other components must be authorized and authenticated. Google Cloud’s Identity and Access Management uses predefined roles for giving granular access to the specific resources of the Google Cloud Platform. This helps in preventing unwanted access. AWS platform also has a security model with the following features: All the data in transit between the AWS, data centers and the customers is encrypted. 256-bit AES is used for encrypting the data stores on EC2 instances. All the encryption keys are encrypted using regularly changed master keys. It allows creating private networks and controlling access to the applications and instances through AWS WAF’s web application firewall capabilities and Amazon VPC’s network firewalls. AWS Key Management Service allows selecting whether you or AWS will be managing the encryption keys and controlling them. Using AWS CloudHSM, you get hardware-based cryptographic key storage that satisfies all the compliance requirements. You can define, enforce, and manage user access policies using AWS Identity and Access Management (IAM), AWS Directory Services, and AWS Multi-Factor Authentication. It has service features like SOC, PCI, HIPAA, ISO and other compliance standards that are audit-friendly. From the above it is clear that both cloud computing providers have their pros and cons. Google Cloud has seen rapid global expansion over the past few years. It is also the one to go for if you favour speed and affordable pricing. AWS has been a long-standing name in the history of cloud computing. AWS started it all and is still being copied by other major players in the market. AWS redundancy, support and availability per region have helped it stay at the top. Rest assured, the constant battle between both the cloud providers will result in increased performance, more services and products, and lower prices benefitting hosting partners and customers. You can try the AWS Certification course  for learning about all the services offered by AWS. 

Google Cloud vs AWS- Which is Better: A Comparison

7K
  • by Joydip Kumar
  • 14th Oct, 2019
  • Last updated on 11th Mar, 2021
  • 8 mins read
Google Cloud vs AWS- Which is Better: A Comparison

Cloud computing has become an integral part of the IT sector. The days of struggling with complicated networking and on-premise server rooms are long gone. Thanks to cloud computing, services are now secure, reliable, and cost-effective.  

When we talk of top cloud computing providers, there are 2 names that are ruling the markets right now- AWS and Google Cloud. Here, we are going to compare both of them, determining the pros and cons of both. Before we start with the comparison, you should have an understanding of the latest trends in the field of cloud computing.  

In the sixth annual State of the Cloud Survey of the RightScale, where over 1,000 professionals were interviewed, there were some interesting findings that came out: 

  • One of the biggest challenges the cloud computing industry faces is the lack of expertise and resources. 
  • Some professionals were worried about the security related to using the services provided by cloud computing.  
  • There were a few professionals who thought that performance was a major challenge they faced while using cloud computing services. 

The report was published in 2016, and since then significant changes have occurred in the field of cloud computing. Hosting sites at AWS and Google Cloud has become fairly easy. There are multiple WordPress hosting providers allowing you to use the cloud without worrying about the technical aspects of cloud computing. Several large enterprises are investing in their engineers and employees and helping them gain certifications offered by cloud computing platforms: 

Over the past couple of years, security and performance have significantly improved. This is because cloud computing providers have come up with new ways of securely hosting data and delivering it faster. All the traffic between the data centers is now encrypted by default. 

When it comes to public cloud adoption, AWS is still the leader. The main reason behind this being that AWS was the first cloud computing service to be launched and has significantly shaped the cloud industry. However, other cloud computing providers like Google Cloud and Azure have seen significant growth too.  

Let’s take an in-depth look at these two market leaders in cloud computing to help you select the best one for your organization. 

Google Cloud Platform Google Cloud Platform

With all the different solutions and services provided by the Google Cloud Platform, you will be able to use the same hardware and software infrastructure used by Google for its own products like Gmail and YouTube. Their first service, Google App Engine, was launched in 2008 in public purview. Here are some of their products: 

  • Google Compute Engine 
  • Google Cloud Bigtable 
  • Google Cloud CDN 
  • Google Cloud Datastore 
  • Google Cloud DNS 
  • Google Cloud Functions 
  • Google Container Engine 
  • Google BigQuery 
  • Google Storage 

According to the Chief Executive Officer of Google, Sundar Pichai, Google Cloud Platform is one of the top three priorities for the company. The annual run rate for the platform is over $8 billion.  

Amazon Web Services (AWS) 

A subsidiary of Amazon.com, this cloud computing service was launched in 2006. Since then, it has offered multiple solutions and services. Here are a few of their products: 

  • Amazon CloudFront 
  • Amazon DynamoDB 
  • Amazon EC2 Container Service 
  • Amazon Elastic Beanstalk 
  • Amazon Elastic Compute Cloud 
  • Amazon Lambda 
  • Amazon Redshift 
  • Amazon Route 53 
  • Amazon S3 

There are some big brands that are using the service provided by the AWS Cloud including Netflix, Nasa, Lamborghini, Time Inc., Airbnb, Expedia, etc. 

Comparisions Between Google Cloud vs AWS 

There are many services that are similar between Google Cloud and AWS. With so many products offered by both, we can’t compare them product wise. Instead, we will be covering them according to their compute instances, storage, networking, and billing features. 

1. Cloud 

Let’s compare how both the providers handle their instances i.e., their virtual machines. For virtual machines, Google cloud uses KVM while AWS EC2 uses Xen. Both the technologies offer predefined configurations with a specified amount of network, RAM, and virtual CPU. However, Amazon EC2 refers to them as instance types while Google Compute Engine refers to them as machine types. 

With AWS EC2, you can equip up to 3,904 GB of RAM and 128 vCPUs. For Google Compute Engine instances, you can equip 3,844 GB of RAM and 160 vCPUs. Google Cloud also allows departing from the predefined configuration and customizing your RAM and CPU resources for fitting your workload. There are other types including AWS EC2 Spot Instances and Google Cloud Preemptible VMs. 

2. Storage

This is a very important consideration as it will directly impact the performance of your applications like max IOP per instance/volume, expected throughput (IO), and the ability of bursting capacity for short times. When comparing AWS and Google, there are two types of primary storage that need to be considered: object storage and block storage. 

Block storage is the virtual disk volume that is used in conjunction with cloud-based virtual machines. AWS EC2 provides this with its Elastic Block Store (EBS) while Google Compute engine uses persistent disks. 

Object Storage, also known as distributed object storage, are hosted services used to store and access a large number of blobs or binary data. Google Compute Engine uses Google Cloud Storage to provide this service while AWS uses the S3 service for this. 

Apart from the above-mentioned, both the providers also allow the usage of disks locally attached to the physical machine that is used to run the instance. When compared to persistent disks, this local storage provides very low latency, very high input/output operations per second, and superior performance. You can even achieve several GBs of read and write speeds with this storage, which is incredibly huge. AWS EC2 calls them instance store volumes while Google Cloud refers to them as local SSDs. Google Cloud allows attaching local SSDs to any type of instance. In the case of AWS, only the X1, R3, M3, I3, I2, HI1, G2, F1, and C3 can support instance store volumes. In 2017, Google Cloud announced a price cut on local SSDs for preemptable and on-demand instances. 

3. Network

Both the providers use different partners and networks for interconnecting their data centers and delivering content to end users via ISPs. For accomplishing this, different products are used. 

When it comes to Google Compute Engine instances, the achievable network capacity is based on your VM’s CPUs quantity. For peak performance, every core is provided with a 2 Gbits/second cap. Every core increases the network capabilities to a maximum of 16 Gbps for every virtual machine. 

Amazon EC2 instances, for the large instance sizes, have a maximum bandwidth of 25 Gbps. 10 Gbps/second is the maximum speed for standard instances. 

When you are comparing the network capabilities of both the providers, network latency plays a major part. When you are working with the business with visitors from a particular geographic location, latency is important. For example, if you have a website in Frankfurt and more than 90% of your customers are from Germany, you will benefit from placing the site on a server in Germany rather than placing it in Asia or the United States. This can make a difference of about 2 seconds. It includes other factors as well like TTFB, DNS, etc. Both, the AWS and Google Cloud, have multiple locations across the globe for you to choose from. 

On a latency test conducted using Cloud Harmony that offers impartial, reliable, and objective analysis of the performance, 50 servers located around the globe were utilized. The results showed that Google Cloud offered better latency. But the test was run from a specific location. Different location can give different results. For measuring ping times and latency, you can try spinning up small instances on both the providers and running your own tests. 

4. Billing

Both providers have a different approach for billing. Both of them also have a very complicated way of doing it. You can try checking out their monthly calculators: 

Calculating this monthly amount is not an easy task. There are tools like Cloudability and reOptimize that are built entirely for helping you better understand your bills. Google Cloud Platform uses its BigQuery tool for providing estimated exports. AWS has a dashboard providing insights to your bill. However, both of the cloud platforms are working their best to reduce costs and making billing easier. 

In September 2017, AWS announced per second billing. This works great for clients who are working on spinning up new instances and carry out a large amount of work in a short duration. After this, Google Cloud also launched the per second billing. This just shows the intense competition between the two where they are simultaneously launching new products. 

If you are seriously invested in one of the platforms, they will provide you with various ways to save costs. Reserved Instances is one such way by which AWS EC2 offers a significant discount and when used in a particular availability zone, provides a capacity reservation. There are 3 types of reserved instances: 

  • Standard Reserved Instances 
  • Scheduled Reserved Instances 
  • Convertible Reserved Instances 

Google Cloud uses Committed Use Discounts to all the customers of Compute Engine. So basically, in return for discounted prices, you have to buy the committed use contracts. After analysis, it was found that on using the 1 year standard RI of AWS vs the 1 year committed use discount of Google, the Google’s environment cost 28 percent less than AWS. The 3 year program for both the discount types led to 35 percent less cost in Google environment as opposed to the AWS. 

5. Support and Uptime

Both, the AWS and Google Cloud, have multiple community forums and documentation that can help you understand their services for free. 

However, you will have to pay for instant support or assistance. Both of them have support plans. We strongly recommend that you read the fees involved in both before availing of the assistance services. Both of them offer unlimited number of billing and account support cases without any long-term contracts. 

For Google, there are 3 levels of support available - Silver, Gold, and Platinum. The cheapest plan is the Silver one starting at $150/month. The Gold plan starts at $400/month. You will also be charged a product usage fee of minimum 9% which will decrease as your spend increases. 

AWS provides 4 levels of support - Basic, Developer, Business, and Enterprise. The cheapest paid plan is the developer starting at $29 per month of 3% of your monthly usage. The Business plan starts at $100 per month along with 10% of product usage fees which will also decrease as the spend increases. 

When it comes to monthly uptime percentage, both have SLAs providing at least 99.95%. For staying up to date with the incidents, you need to subscribe to their status page. However, both the providers have delayed updating their status dashboards. 

With AWS, you have the advantage of having different machines within multiple availability zones per region. On the Google Cloud, the same machine per region might have all your instances. However, with Google Cloud you have the ability of live migrating the virtual machines which allow addressing issues like patching, updating and repairing without worrying about the machine reboots. 

6. Security

In the Clutch’s Second Annual Cloud Computing Survey, it was found that about 70% of professionals felt secure storing their data in the cloud than on their previous, on-premises legacy systems. 

With Google Cloud Security, you get the benefit of a security model that has been developing over a period of 15 years and is securing products like Gmail, Search, etc. There are about 500 full-time security professionals employed by Google. It provides security features like: 

  • All the data in the cloud platform services and in transit between Google, data centers, and the customers is encrypted by default. 256-bit AES is used for encrypting the data stored on persistent disks. A set of regularly changed master keys are used for encrypting the encryption key. 
  • Regular audits are used to commit to the security certifications of the enterprise for PCI, SSAE16, ISO 27018, ISO 27017, and HIPAA compliance. 
  • Thanks to Google’s relationship with the biggest ISPs in the world, there are fewer hops across the public internet which improves data security. 
  • The layers of the storage stack and Google application require that all requests coming from other components must be authorized and authenticated. 
  • Google Cloud’s Identity and Access Management uses predefined roles for giving granular access to the specific resources of the Google Cloud Platform. This helps in preventing unwanted access. 

AWS platform also has a security model with the following features: 

  • All the data in transit between the AWS, data centers and the customers is encrypted. 256-bit AES is used for encrypting the data stores on EC2 instances. All the encryption keys are encrypted using regularly changed master keys. 
  • It allows creating private networks and controlling access to the applications and instances through AWS WAF’s web application firewall capabilities and Amazon VPC’s network firewalls. 
  • AWS Key Management Service allows selecting whether you or AWS will be managing the encryption keys and controlling them. 
  • Using AWS CloudHSM, you get hardware-based cryptographic key storage that satisfies all the compliance requirements. 
  • You can define, enforce, and manage user access policies using AWS Identity and Access Management (IAM), AWS Directory Services, and AWS Multi-Factor Authentication. 
  • It has service features like SOC, PCI, HIPAA, ISO and other compliance standards that are audit-friendly. 

From the above it is clear that both cloud computing providers have their pros and cons. Google Cloud has seen rapid global expansion over the past few years. It is also the one to go for if you favour speed and affordable pricing. AWS has been a long-standing name in the history of cloud computing. AWS started it all and is still being copied by other major players in the market. AWS redundancy, support and availability per region have helped it stay at the top. Rest assured, the constant battle between both the cloud providers will result in increased performance, more services and products, and lower prices benefitting hosting partners and customers. You can try the AWS Certification course  for learning about all the services offered by AWS. 

Joydip

Joydip Kumar

Solution Architect

Joydip is passionate about building cloud-based applications and has been providing solutions to various multinational clients. Being a java programmer and an AWS certified cloud architect, he loves to design, develop, and integrate solutions. Amidst his busy work schedule, Joydip loves to spend time on writing blogs and contributing to the opensource community.


Website : https://geeks18.com/

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A program called Exam Reply is available that allows candidates to buy a slightly discounted exam, a practice attempt (which needs a slight upcharge), and a retake attempt as well.    Salary: The job title that can be earned after this certification is Microsoft Cloud Solution Architect, and this role can earn around $154133 per year. (Source)  4. Certified Cloud Security Professional (CCSP)Offered by the (ISC)^2 (International Information System Security Certification Consortium, the CCSP is a globally recognized certification. It validates a candidate's ability to work within a cloud architecture along with good abilities in the field of design, secure applications, along data and infrastructure. These are carried out under the protocols offered by (ISC)^2, which are a hallmark of security. It's ideal for those who want an enterprise architect role, and other roles include systems engineers, security administrator or a consultant in the field of security.  Prerequisites: The (ISC)^2 recommends around five years of experience in the field of IT, including three in Information security and one in any of the domains prescribed by CSSP Common Body of Knowledge.  Exam Cost: The exam is provided by Pearson VUE. The standard registration for the exam costs $600 (Source)  Exam Guide/Courses: The CCSP examination involves preparation in 6 different domains, as highlighted in the CCSP exam outline.  Salary: The job title earned is Cloud Security Professional, a job that can pay up to $138k per annum. (Source)  5. CompTIA Cloud+ An acronym for Computing Technology Industry Association, CompTIA is a non-profit. It serves the IT industry and is one of the global leaders in certifications like the ones you're looking for on the list. These are vendor-neutral, meaning you can apply to a broad range of jobs, and it means you're not restrained to any particular company. They cover certifications from novice to professional levels.  CompTIA Cloud+ acts as a foundation-level certification. Like its selling point, Cloud+ offers a piece of foundational knowledge in a broad domain in the Cloud market. It authorizes skills in the maintenance and optimization of cloud software. It shows that a candidate can demonstrate the ability to migrate data to cloud platforms, manage cloud resources and make appropriate modifications, perform automation tasks to improve performance, all the while focusing on security.  Prerequisites: It needs 2-3 years' worth of experience in system administration.  Exam Cost & Format: The exam includes 90 questions. Available in English and Japanese Costs $338 (Source), The certification expires in 3 years after launch Salary: As a cloud specialist an average pay that can be expected in the US market is around $80317 (Source). 6. VMware VCP7-CMA VMware is a company that is well known within the IT-sphere for its strong grasp of virtualization technologies. The VCP7- Cloud Management and Automation is the latest in a series of certifications the company has rolled out. The vRealise and the vSphere-based program are instrumental in certifying new as well as veteran IT professionals in the field of virtualization in the Cloud.  Prerequisites:  A prerequisite is to have a minimum of 6-month experience with the vSphere 6 and realized software.  One also needs to complete one of the training courses offered by VMware, which keeps updating on the current course list portion of the website.  Candidates can choose one out of 3 exams: vSphere 6 Foundations, vSphere 6.5 Foundations, or VMware Certified Professional Management and Automation exam.  Exam Cost: vSphere 6 and 6.5 cost $125, whereas the third exam costs $250 (Source). A VMWare candidate ID is needed to register.  Exam Guide: Exam Self-study material is available on the certification page.  Salary: As a VMWare Staff Engineer, the salary expected could be up to $188446 every year. (Source)  7. CCNP Cloud (Cisco)CCNP stands for Cisco Certified Network Professional. This is one of the more reputed certifications that allows a professional to validate their skills in the fields of data management, cloud architecture, and design and authorize their path as a cloud professional. Along with the Cloud, the CCNP is also available as a Collaboration, Service Provider, Data Centre, and many other fields in the collection of solutions. Be warned, though. Cisco focuses on the practical requirements as well, so their certification process is equally rigorous, with design, practical, architecture-based assessments to keep one on their toes. But in the end, this multidisciplinary approach proves itself. An understanding of Application Centric Infrastructure (ACI) is also vital. They provide a lot of resources to prepare as well, with assignments, discussion forums, self-assessments, and much more!  Training in the fields of CLDING, CLDDES, CLDAUT, CLACI, CLDINF is highly recommended. These cover information on Cisco cloud infrastructure, automation, infrastructure, and troubleshooting.  Prerequisites: There are four exams that need to be taken in each of the above fields. They are administered by Pearson VUE.  Exam Cost: Each exam costs $300, $1200 total. (Source)  Exam Guide: For the study material, Cisco has curated many resources like Learning Network games, self-assessment modules, seminars, videos, and much more. Textbooks and other materials are also available on the Cisco Marketplace Bookstore.  Salary: The typical job that can be obtained is Cisco Systems Cloud Engineer that pays around $158010 per annum.(Source)  Certification LevelsThese cloud certifications can be segregated into Professional and Associate levels, where various criteria are required to be fulfilled to be eligible to apply for the respective certification. As per the market trends and the demand, here is a detailed description of some of the most coveted certifications: Amazon Web Services - AWS 1. AWS Certified Solutions Architect - Professional This certification is for professionals who have experienced hands-on solutions architect roles. A candidate must have 2 or more years of experience in operating and managing the AWS operations. The exam costs 300 USD and is 180 minutes long. This course validates the following abilities:  Implementation of cost control strategies  Designing fault proof applications on AWS  Choosing appropriate AWS services for design and application   Migrating the complex applications on AWS  Exam criteria 2 or more years of experience in handling cloud architecture on AWS  One should have diverse knowledge of AWS CLI, AWS APIs, AWS CloudFormation templates, the AWS Billing Console, and the AWS Management Console  Detailed knowledge of the scripting language  Must have worked on Windows and Linux  Must be able to explain the five pillars of the AWS architecture Framework  Practical knowledge of the architectural design across multiple projects of the company.  2. AWS Certified Solutions Architect - Associate  This course is for professionals who have one year of experience in handling and designing fault free and scalable distributed systems on AWS.  This certificate validates the following abilities:  In depth knowledge of deploying the secure and powerful applications on AWS  Knowledge and application of customized architectural principles  Exam criteria The course requires a complete understanding of the AWS global infrastructure, network technologies, security features and tools related to AWS  Knowledge of how to build secure and reliable AWS applications  Experience of deployment and management of management services.  The exam duration is 130-minutes and the fee is $150. The above were some of the main certified courses of AWS. The other two Associate level courses are AWS SysOps Administrator Associate and the AWS Developer Associate. 3. The AWS Certified DevOps Engineer – ProfessionalThis exam is for professionals who have experience as a DevOps engineer and have experience in provisioning, operating, and managing AWS environments.  This course validates the following abilities: Management and implementation of delivery systems and methodology on AWS  Deploying and managing the logging, metrics, and monitoring system on AWS  Implementation and management of highly scalable, and self-healing systems on AWS.  Automation of security controls, government processes and compliance validation  Exam criteria  Knowledge and experience in administering operating systems and building highly automated infrastructure.  Knowledge of developing code in at least one high level programming language.  The cost of the exam is 300 USD and the duration is 180 minutes. There will be 75 questions.  Microsoft Web Service – Azure:  1. Azure Developer Associate AZ-204This course will provide you with the skill set to design, build, test and maintain cloud solutions from the start to the end.  You will master the basics of developing an app and all the other services Azure provides. This certification course will help you learn the actual syntax and programming languages that are used to integrate the application on Azure.  Exam criteria You are required to take an Exam AZ-204: Developing Solutions for Microsoft Azure ($165 USD) and must have at least 1-2 years’ of experience with development and azure development.  Having a good command in any of these languages like C#, PHP, Java, Python, or JavaScript would be a plus.  Getting certified with this course will set you ahead of your peers in the development sector.  2. Azure Data Scientist Associate DP-100Turning data and facts related to a business into useful and actionable insights is an art, and getting the Azure data scientist certification will prove that you have the required expertise in data and machine learning.  This course is for professionals who are currently working as a data scientist or are planning to become one soon. Exam: DP-100: Designing and Implementing a Data Science Solution on Azure ($165 USD)  Exam criteria You should have knowledge and experience in data science and in using Azure Machine Learning and Azure Databricks. This certification course can future-proof your career, as there is spectacular growth in internet use and the demand for job roles in this sector will continue to increase year on year.   Wondering where to start? Here are some pointers:Are you a Newbie?If you are a lost soul in the world of technology but want to learn, then the perfect way to start is the Azure Fundamentals Course. Any beginner can grasp the fundamentals and get started.Are you in the middle of the road?If you are someone who has average experience and has worked with hands-on AWS, GCP, or Azure then too we would recommend you start with the Fundamental course. Refresh your knowledge and make your basics stronger before you move on to the Administrator Associate certification, which can be very intimidating otherwise. Are you an Expert?  If you have had enough experience with cloud computing or have got serious geek vibes in you, then you can take up any speciality or professional certifications to add the missing edge to your expertise.  If you still need more clarity, you can explore our cloud certification category page for more details. Need more handholding? Contact our experts by using the Contact Learning Advisor button and fill up a small form. Let’s connect! Why be a Cloud Computing Professional? 1. A Growing Field As more and more of our lives are uploaded on the Cloud, the demand for professionals with the capabilities to handle cloud architecture is increasing by the day. Professionals with the right expertise are paid handsome salaries, and the investments made in certification repay themselves many times over. The demands for Cloud professionals outstrip the supply by a huge margin, making this an easy job for entry-level applicants.   2. A Good PayThe salary for a Cloud Engineer ranges from $117,892 to $229,000 (Source). This is a rewarding field, indeed! You can get onto the entry point of the ladder and work your way up, which is an easy journey if you earn a certification. It is one of the highest paying jobs that can be found in the IT sector.   Companies Hiring Certified Cloud Computing Professionals Some of the companies whose certifications we addressed above are also among the key employers in the Cloud Computing market. The key employers for these jobs are listed below.    Amazon They are the undoubted leaders in the fields of Cloud Computing and management. They are branching out in the fields of AI, the Internet of things, machine learning, and database management as well, and you can explore exciting new opportunities in any of these fields. As documented above, AWS has faced over 43% growth year after year for a sustained period. They are undoubtedly one of the largest hirers in the field as they need competent workforce for their expanding ventures.  Microsoft After the enormous success of the Office 365 platform, Cloud Computing was the next step forward for Microsoft, with the Azure platform. They are neck to neck with Amazon for the number 1 spot in the field of Cloud architecture and database management.   IBM The waning brand of IBM has now made a sudden resurgence to capitalize on the demand in the fields of AI, the Information Age, and the new Cloud phenomenon. They have recently acquired Red Hat and have entered the field of hybrid cloud development. They will surely be looking for professionals in the field to boost their chances. Dell Technologies (VMware) VMware, mentioned on the above lists, has partnered with Dell Technologies to form a robust cloud platform. A veteran player in the industry already, VMware has constantly evolved to adapt to advancements in the industry. They have partnerships with all the huge players like AWS, Microsoft Azure and Google Cloud as well.  ConclusionIt is quite evident that Cloud computing is one of the most exciting and lucrative fields one can be in, considering the investment to return ratio. These certifications offer incredibly excellent value for money and will lead to placements in leading companies, which is not easy via other paths.  There is a lot to learn in the field of Cloud Computing, and it is a highly adaptive job as well; that is why one needs to keep an eye on the newest software and architecture in the market. These certifications make sure that you can validate your experience and increase your employability. While there are many certifications available, only the ones from reputed institutions help to get a job. They show that you have the knowledge and expertise to make your mark in the industry.  It is never too late to start your learning journey, so grab that certification exam guide and start learning. Happy computing!  
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Top Cloud Certifications

What is Cloud Computing?Cloud is the new buzzword ... Read More

A Glimpse Of The Major Leading SAFe® Versions

A Quick view of SAFe® Agile has gained popularity in recent years, and with good reason. Teams love this approach that allows them to get a value to the customer faster while learning and adjusting to change as needed. But teams often don’t work in isolation. Many teams work in the context of larger organizations.  Often Agile doesn’t fit their needs. Some teams need an Agile approach that scales to larger projects that involve multiple teams.   It’s possible to do this. That’s where the Scaled Agile Framework, or SAFe®, can help.Why SAFe® is the best scalable framework?The Scaled Agile Framework is a structured Agile approach for large enterprises. It’s prescriptive and provides a path for interdependent teams to gain the benefits of using an Agile approach.Scaled Agile provides guidance not only at the team level but also at the Program and Portfolio levels. It also has built-in coordinated planning across related teams who are working in Release Trains.These planning increments allow teams to plan together to work with customers and release value frequently in a way that’s sustainable to teams.And it supports continuous improvement.It’s a great way for large companies to maintain structure and roll out Agile at a large scale.  What is SAFe® 4.5? Scaled Agile, otherwise known as SAFe®, was initially released in 2011 by Dean Leffingwell as a knowledge base for enterprises to adopt Agile. Over the years it has grown and evolved. SAFe® 4.5 was released on June 22, 2017, to accommodate improvements to the framework. Following are some of the key improvements in SAFe® 4.5:Essential SAFe® and ConfigurabilityInnovation with Lean Startup and Lean UXScalable DevOps and Continuous DeliveryImplementation roadmapBenefits of SAFe® 4.5 to companies:Organizations who adopt SAFe® 4.5 will be able to gain the following benefits:1) Test ideas more quickly. SAFe® 4.5 has a build-in iterative development and testing. This lets teams get faster feedback to learn and adjust more quickly.2) Deliver much faster. The changes to SAFe® 4.5 allow teams to move complex work through the pipeline and deliver value to the customer faster.3) Simplify governance and improve portfolio performance. Guidance and support have been added at the Portfolio level to guide organizations in addressing Portfolio-level concerns in a scaled agile context. SAFe® 4.5 - Key areas of improvements:A. Essential SAFe® and ConfigurabilityFour configurations of SAFe® that provide a more configurable and scalable approach:Essential SAFe®: The most basic level that teams can use. It contains just the essentials that a team needs to get the benefits of SAFe®.Portfolio SAFe®: For enterprises that implement multiple solutions that have portfolio responsibilities such as governance, strategy, and portfolio funding.Large Solution: Complex solutions that involve multiple Agile Release Trains. These initiatives don’t require Portfolio concerns, but only include the Large Solution and Essential SAFe® elements.  SAFe® Full SAFe®: The most comprehensive level that can be applied to huge enterprise initiatives requiring hundreds of people to complete.Because SAFe® is a framework, that provides the flexibility to choose the level of SAFe® that best fits your organization’s needs.B. Innovation with Lean Startup and Lean UXRather than creating an entire project plan up-front, SAFe® teams focus on features. They create a hypothesis about what a new feature will deliver and then use an iterative approach to develop and test their hypothesis along the way. As teams move forward through development, they perform this development and test approach repeatedly and adjust as needed, based on feedback. Teams also work closely with end users to identify the Minimum Viable Product (MVP) to focus on first. They identify what will be most valuable to the customer most immediately. Then they rely on feedback and learning as they develop the solution incrementally. They adjust as needed to incorporate what they’ve learned into the features. This collaboration and fast feedback and adjustment cycle result in a more successful product.  C. Scalable DevOps & Continuous DeliveryThe addition of a greater focus on DevOps allows teams to innovate faster. Like Agile, DevOps is a mindset. And like Agile, it allows teams to learn, adjust, and deliver value to users incrementally. The continuous delivery pipeline allows teams to move value through the pipeline faster through continuous exploration, continuous integration, continuous deployment, and released on demand. DevOps breaks down silos and supports Agile teams to work together more seamlessly. This results in more efficient delivery of value to the end users faster. It’s a perfect complement to Scaled Agile.D. Implementation RoadmapSAFe® now offers a suggested roadmap to SAFe® adoption. While change can be challenging, the implementation roadmap provides guidance that can help with that organizational change.Critical Role of the SAFe® Program ConsultantSAFe® Program Consultants, or SPCs, are critical change agents in the transition to Scaled Agile.Because of the depth of knowledge required to gain SPC certification, they’re perfectly positioned to help the organization move through challenges of change.They can train and coach all levels of SAFe® participants, from team members to executive leaders. They can also train the Scrum Master, Product Owners, and Agile Release Train Engineers, which are critical roles in SAFe®.The SPC can also train teams and help them launch their Agile Release Trains (ARTs).And they can support teams on the path to continued improvement as they continue to learn and grow.The SPC can also help identify value streams in the organization that may be ready to launch Agile Release Trains.The can also help develop rollout plans for SAFe® in the enterprise.Along with this, they can provide important communications that help the enterprise understand the drivers and value behind the SAFe® transition.       How SAFe® 4.5 is backward compatible with SAFe® 4.0?Even if your organization has already adopted SAFe® 4.0, SAFe® 4.5 has been developed in a way that can be easily adopted without disruption. Your organization can adopt the changes at the pace that works best.Few Updates in the new courseware The courseware for SAFe® 4.5 has incorporated changes to support the changes in SAFe® 4.5.They include Implementing SAFe®, Leading SAFe®, and SAFe® for Teams.Some of the changes you’ll see are as follows:Two new lessons for Leading SAFe®Student workbookTrainer GuideNew look and feelUpdated LPM contentSmoother lesson flowNEW Course Delivery Enablement (CDE) Changes were made to improve alignment between SAFe® and Scrum:Iteration Review: Increments previously known as Sprints now have reviews added. This allows more opportunities for teams to incorporate improvements. Additionally, a Team Demo has been added in each iteration review. This provides more opportunity for transparency, sharing, and feedback.Development Team: The Development team was specifically identified at the team level in SAFe® 4.5. The development team is made up of three to nine people who can move an element of work from development through the test. This development team contains software developers, testers, and engineers, and does not include the Product Owner and Scrum Master. Each of those roles is shown separately at the team level in SAFe® 4.5.Scrum events: The list of scrum events are shown next to the ScrumXP icon and include Plan, Execute, Review, and Retro (for a retrospective.)Combined SAFe® Foundation Elements SAFe® 4.0 had the foundational elements of Core Values, Lean-Agile Mindset, SAFe® Principles, and Implementing SAFe® at a basic level.SAFe® 4.5 adds to the foundation elements by also including Lean-Agile Leaders, the Implementation Roadmap, and the support of the SPC in the successful implementation of SAFe®.Additional changes include: Communities of Practice: This was moved to the spanning palette to show support at all levels: team, program, large solution, and portfolio.Lean-Agile Leaders: This role is now included in the foundational level. Supportive leadership is critical to a successful SAFe® adoption.SAFe® Program Consultant: This role was added to the Foundational Layer. The SPC can play a key leadership role in a successful transition to Scaled Agile.Implementation Roadmap: The implementation roadmap replaces the basic implementation information in SAFe® 4.0. It provides more in-depth information on the elements to a successful enterprise transition to SAFe®.Benefits of upgrading to SAFe® 4.5With the addition of Lean Startup approaches, along with a deeper focus on DevOps and Continuous Delivery, teams will be situated to deliver quality and value to users more quickly.With improvements at the Portfolio level, teams get more guidance on Portfolio governance and other portfolio levels concerns, such as budgeting and compliance.  Reasons to Upgrade to SAFe® 4.5 Enterprises who’ve been using SAFe® 4.0 will find greater flexibility with the added levels in SAFe® 4.5. Smaller groups in the enterprise can use the team level, while groups working on more complex initiatives can create Agile Release Trains with many teams.Your teams can innovate faster by using the Lean Startup Approach. Work with end users to identify the Minimum Viable Product (MVP), then iterate as you get fast feedback and adjust. This also makes your customer more of a partner in development, resulting in better collaboration and a better end product.Get features and value to your user community faster with DevOps and the Continuous Delivery pipeline. Your teams can continuously hypothesize, build, measure, and learn to continuously release value. This also allows large organizations to innovate more quickly.Most Recent Changes in SAFe® series - SAFe® 4.6Because Scaled Agile continues to improve, new changes have been incorporated with SAFe® 4.6. with the addition of five core competencies that enable enterprises to respond to technology and market changes.Lean Portfolio Management: The information needed for how to use a Lean-Agile approach to portfolio strategy, funding, and governance.Business Solutions and Lean Systems: Optimizing activities to Implement large, complex initiatives using a Scaled Agile approach while still addressing the necessary activities such as designing, testing, deployment, and even retiring old solutions.DevOps and Release on Demand: The skills needed to release value as needed through a continuous delivery pipeline.Team and Technical Agility: The skills needed to establish successful teams who consistently deliver value and quality to meet customer needs.Lean-Agile Leadership: How leadership enables a successful agile transformation by supporting empowered teams in implementing agile practices. Leaders carry out the Agile principles and practices and ensure teams have the support they need to succeedSAFe® Agilist (SA) Certification exam: The SAFe® Agilist certification is for the change leaders in an organization to learn about the SAFe® practices to support change at all levels: team, program, and portfolio levels. These change agents can play a positive role in an enterprise transition to SAFe®.In order to become certified as a SAFe® Agilist (SA), you must first take the Leading SAFe® class and pass the SAFe® certification exam. To learn more about this, see this article on How To Pass Leading SAFe® 4.5 Exam.SAFe® Certification Exam: KnowledgeHut provides Leading SAFe® training in multiple locations. Check the site for locations and dates.SAFe® Agile Certification Cost: Check KnowledgeHut’s scheduled training offerings to see the course cost. Each course includes the opportunity to sit for the exam included in the cost.Scaled Agile Framework Certification Cost: There are multiple levels of SAFe® certification, including Scrum Master, Release Train Engineer, and Product Owner. Courses range in cost, but each includes the chance to sit for the corresponding SAFe® certification.SAFe® Classes: SAFe® classes are offered by various organizations. To see if KnowledgeHut is offering SAFe® Training near you, check the SAFe® training schedule on our website.TrainingKnowledgeHut provides multiple Scaled Agile courses to give both leaders and team members in your organization the information they need to for a successful transition to Scaled Agile. Check the site for the list of classes to find those that are right for your organization as you make the journey.All course fees cover examination costs for certification.SAFe® 4.5 Scrum Master with SSM Certification TrainingLearn the core competencies of implementing Agile across the enterprise, along with how to lead high-performing teams to deliver successful solutions. You’ll also learn how to implement DevOps practices. Completion of this course will prepare you for obtaining your SAFe® 4 Scrum Master certificate.SAFe® 4 Advanced Scrum Master (SASM)This two-day course teaches you to how to apply Scrum at the enterprise level and prepares you to lead high-performing teams in a Scaled Agile environment. At course completion, you’ll be prepared to manage interactions not only on your team but also across teams and with stakeholders. You’ll also be prepared to take the SAFe® Advanced Scrum Master exam.Leading SAFe®4.5 Training Course (SA)This two-day Leading SAFe® class prepares you to become a Certified SAFe® 4 Agilist, ready to lead the agile transformation in your enterprise.  By the end of this course, you’ll be able to take the SAFe® Agilist (SA) certification exam.SAFe® 4.5 for Teams (SP) This two-day course teaches Scrum fundamentals, principles tools, and processes. You’ll learn about software engineering practices needed to scale agile and deliver quality solutions in a Scaled Agile environment. Teams new to Scaled Agile will find value in going through this course. Attending the class prepares you for the certification exam to become a certified SAFe® 4 Practitioner (SP). DevOps Foundation Certification trainingThis course teaches you the DevOps framework, along with the practices to prepare you to apply the principles in your work environment. Completion of this course will prepare you also to take the DevOps Foundation exam for certification.
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A Glimpse Of The Major Leading SAFe® Versions

A Quick view of SAFe® Agile has gained popularit... Read More

How Start Ups Can Benefit From Cloud Computing?

From nebulous beginnings, the cloud has grown to a platform that has gained universal acceptance and is transforming businesses across industries. Companies that have adopted cloud technology have seen significant payoffs, with cloud based tools redefining their data storage, data sharing, marketing and project management capabilities. The easy availability of affordable cloud infrastructure has made it so easy to set up new businesses that the economy is all set for a start up boom which has its head, so to speak, in the cloud! With the advent of this new technology, complete newbie’s in the market are able to hold their own against established market players—by achieving an amazing quantum of work using skeleton manpower resources. Recently, a popular ad doing the rounds on TV showed a long haired youth conducting business from a cafe on his HP Pavilion laptop, where he is ridiculed by some well heeled middle aged businessmen on their coffee break. Back at their office, they find that this youngster is the new investor that their boss has been heaping accolades on. “Where’s your office?” one of them asks the young man…to be laughingly told that he carries his entire office in his laptop! And that, typically, is how the new-age start up business looks. We have heard many stories of how a clever idea has turned a tidy profit for a smart entrepreneur working out of his laptop. While cloud computing is pushing the boundaries of science and innovation into a new realm, it is also laying the foundation for a new wave of business start ups. New ventures in general suffer from a lack of infrastructure, manpower and funding…and all these three concerns are categorically addressed by the cloud. Moving to the cloud minimizes the need of huge capital investments to set up expensive infrastructure. For nascent entrepreneurs, physical hardware and server costs used to be formidable given the limited budgets at their disposal. Seed money was also required to hire office space, promote the business and hire workers. Today, thanks to cloud technology, getting a new business off the ground and running costs virtually nothing. Most of the resources and tools that new ventures need are available on the cloud at minimal costs, in fact quite often at zero costs, making this a powerful value proposition for small businesses. A cloud hosting provider such as AWS can enable you to go live immediately, and will even scale up to your requirement once your business expands. Small businesses can think and dream big with the cloud. When it comes to manpower resources, it takes just a handful of people to work wonders using the online resources that are at their disposal. If you have a brilliant idea and have a workable plan for execution, you can comfortably compete neck to neck with market leaders. The messaging sensation WhatsApp was started in 2009 by just two former Yahoo employees who leveraged the power of the internet – and this goes to show that clever use of technology can completely eliminate the need for a sizeable manpower pool. Start ups have always been more agile than their large scale counterparts, and the cloud helps them take this a step further. Resources can be scaled up or down in no time, whereas in traditional environments it would have taken many days, considerable planning and funds to add hardware and software. Cloud computing also helps improve collaboration across teams, often across geographies. Data sharing is instantaneous, and teams can work on a task together in real time regardless of their location. Powered by the cloud, small businesses operate with shoestring budgets and key players in different continents. All their accounting, client data, marketing and other business critical files can be stored online and are accessible from anywhere. These online tools can be accessed and utilised instantly, and underpin all the crucial processes on which these businesses thrive. Strategic financial decisions are made after garnering insights from cloud-based accounting software. E-invoicing helps settle bills in a fraction of the time of traditional billing systems, and client queries are answered quickly through cloud-based management systems—saving precious time and increasing customer satisfaction levels to an all-time high. Whether at home, on vacation or on the phone, businesses can oversee sales, replenish products and plan new sales strategies. That’s a whole new way of doing business, and seems to be very successful! An estimate by Cloudworks has put the anticipated cloud computing market at over $200 billion by the year 2018. As Jeff Weiner, CEO of LinkedIn, succinctly put it, the cloud “makes it easier and cheaper than ever for anyone anywhere to be an entrepreneur and to have access to all the best infrastructure of innovation.” With cloud technology rapidly levelling the playing field between nascent and established businesses, it is anybody’s guess as to just how many new start ups will burst into the scene in the next few years. Hoping that the blog has helped you gain a clear understanding of the importance of Cloud Computing.  To gain more knowledge on what cloud computing has to offer, take a look at other blogs as well as the AWS certifications that we have to offer or enrol yourself for the AWS Certification Training course by KnowledgeHut.  
How Start Ups Can Benefit From Cloud Computing?

From nebulous beginnings, the cloud has grown to a... Read More