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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. 
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Google Cloud vs AWS- Which is Better: A Comparison

7K
  • by Joydip Kumar
  • 14th Oct, 2019
  • Last updated on 05th Nov, 2019
  • 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 : http://geeks18.com/

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The common requirements include security, maintainability, performance, usability, reliability, and scalability of a product. All these non-functional requirements are analyzed by the solution architect for ensuring product engineering meets these requirements. Main Roles and Duties of a Solution ArchitectConducting architectural evaluation, analysis, and design of enterprise-wide systemsStimulating appropriate design discipline and design tools like IBM RationalEnsuring delivery of robust system solutions by the application architecture team to the architect businessDeveloping, enhancing and maintaining established process and procedure of service design for assuring appropriate and robust service designWork with the enterprise architect for making sure the architecture and strategic blueprints are complied withForming part of a high-performance solution architecture team that supports the developmental effort of a business-oriented projectPlanning, designing and executing complex company level solution configurationPreparation and presentation of a test plan, lab reports, technical presentations and analyst briefings for covering different solution areasBe responsible for the best current practices and suggestionsCollaboration with the IT development team for ensuring suitable translation of architectural solution into robust and effective implementationMaking sure configuration management continues the way it shouldIdentification of customer requirements, analysis of alternatives and conducting product recommendations associated with platform, software and network configurationsWork with sales department for performing demonstration and conversing requirementsInitiate contact with the client to provide a complete team effortPrimary responsibilities:Understanding the needs of the company for defining system specificationsPlanning and designing the technology solution structureCommunication system requirements to the software development teamEvaluation and choosing suitable hardware or software and suggesting methods for integrationOverseeing assigned programs and guiding the team membersProviding assistance when technical problems ariseMaking sure the agreed infrastructure and architecture are implementedAddressing the technical concerns, suggestions, and ideasMonitoring systems to make sure they meet business goals as well as user requirementsSkills Required to become a Solution ArchitectThe role of a solution architect is a technical one and involves the translation of functional requirements into robust solutions. Individuals looking to get a job as a solution architect must possess AWS solutions architect certification and have a relevant degree along with certain skills, including:Technical literacy: A high level of technical literacy is required to become a solution architect. It allows them to figure out how a particular solution fits with the current structure of the organization. They also need to assist the development of requirements and specificationsAnalytical assessment: Solution architects are required to examine the current system of the client, which involves extreme analysis. They also need to analyze to determine the overall scope and requirements of the projectManaging schedule: Right time management skills are required for determining milestones and schedules for development and ensuring timely completion of deliverablesLeading the team: Solution architects need to know how to motivate and lead since they directly oversee development teams throughout the development lifecycles of projectsCommunication skills: Excellent verbal and written communication skills are also required since the role involves communication with clients, external vendors and team membersSolving problems: The system limitations or client specification can change during development. Solution architects need to use their problem-solving skills for changing directions quickly as per the updated limitations or specifications.When is Solution Architecture Needed by a Company?Technology consulting organizations can introduce solution architecture to the corporate structure if the integration process of the software system is not systematic. A solution architect is not required for all the projects. Solution architecture won’t be required if a single proven tech module is being implemented. However, it is advisable to consider solution architecture services when the projects grow to be more complicated, entailing different risks and processes. A solution architect is needed when:It is unknown which solution is the best fit for the company ecosystem: It is important that there exists a link between a particular project and enterprise architecture. Solution architectures make sure company environment standards are met by the solutionA digital transformation project is being run: Projects involving digital transformation requires businesses to reevaluate what they deliver to customers or how they deliver it. It cannot be done without linking business and technological tasks, which is what a solution architect doesThere are a lot of risks involved: In projects that involve different technological risks, uncertain requirements, implementation of multiple products or unapproved underlying technologies, it is necessary to have a solution architectA future product has to be presented to investors: In this case, solution architects help suggest suitable technologies for matching production requirements. They also communicate in clear and understandable business termsCommunications between engineers and stakeholders have to be set up: There can be a communication gap between a non-technical and technical specialist. Solution architects help bridge that gapThe project involves multiple teams: Larger projects require someone for managing the designers, business or technical architect teams for producing quality outcomes. To sum it all up, solution architecture forms the underpinning of all IT projects, regardless of whether the company actually adopts this practice or not. Deliberate introduction of solution architecture allows the building of the framework that aligns with skills, resources, and technology of defined business goals. Conventionally, mid-size and small companies do not practice solution architecture. The problems related to solution architecture are delegated across different roles with the product and development team. It is a good option for small projects that have predictable outcomes. However, a specialist will definitely be required if the enterprise architecture itself is complex with multiple software products being introduced into the ecosystem. A solution architect is a specialist for such needs.
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What Are the Roles and Responsibilities of AWS Cer...

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What are the Eligibility Requirements to Get AWS Certified?

AWS has dominated the field of cloud computing in recent years as a robust and infallible provider of cloud services. As more and more companies are shifting their workload to the cloud, cloud computing has become a must-have, core competency in the organization. AWS offers different levels for different certifications. If you are working in AWS, a certification will help you demonstrate your skills. So, you need to select one that matches your domain and experience. With an AWS certification in your hand, you will be able to display the most-in demand skills that are validated by none other than Amazon.  As per the RightScale State of the Cloud report of 2018, 68% of SMBs and 64% of the enterprises are using AWS to run their applications. A continuous stream of new, improved services, geographic expansion, and financial performance indicates that AWS is going to be in demand for a long time.Currently, AWS offers 11 different certifications. To earn these certifications, there are no set-in-stone steps. However, we have enlisted a few straight-forward steps that will help you create a plan to become AWS certified:The first step is to enroll in a training class. This will help you get an in-depth knowledge of AWS and cloud computing.Gather all the exams and study guides you can find and review them.Practice as much as you can. It will help reduce any stress you might have regarding the certification exam.Once you think  you are prepared, schedule the exam.It is important to choose the right certification exam to attempt based on your expertise, qualification and experience. The AWS certifications have four levels:FoundationalAssociateProfessionalSpecialty.Let’s learn about the certifications offered by AWS and their eligibility requirements:1. AWS Certified Cloud Practitioner – Foundational CertificationThis entry-level certification is the newest certification offered by the AWS. This was created to test the candidate’s knowledge of the AWS Cloud. In the Cloud Practitioner certification exam, the areas that will be covered include knowledge of AWS cloud and its infrastructure, fundamental principles of the AWS architecture, basic compliance and security measures, the shared responsibility model, identifying technical assistance and sources of documentation, defining billing, pricing models, and account management, key services and common use cases of AWS, AWS cloud’s value proposition, and operating and deploying principles. It is recommended to take this exam before you move on to associate or professional level certifications.To be eligible for this certification exam, a candidate must have: Basic knowledge of the IT services and solutions and how they are used in the AWS platform. Minimum of 6 months of working experience in AWS cloud in a sales, managerial, purchase, technical, or financial role.The average annual salary of an AWS Certified Cloud Practitioner is between $90,512 and $113,932.2. AWS Certified Solutions Architect – AssociateIf you know how to design distributed applications, then solutions architect certification exam is for you. It will allow you to validate your skills of designing, implementing, and managing applications using services and tools available on the AWS platform.The exam will test your knowledge of networking technologies and their application in AWS, working of AWS-based applications, connecting AWS platform to the client’s interfaces, building applications on the AWS platform that are secure and reliable, deploying hybrid systems with AWS components and on-premises data center, designing scalable and highly available systems, deploying and implementing applications on AWS, and troubleshooting, data security practices, and disaster recovery techniques related to AWS.The eligibility requirements for this certification exam include:At least 1 year of working experience in designing and deploying applications on the AWS platform. Expertise in at least 1 high-level programming language,  ability to identify the requirements of an application, defining best practices for securing the AWS application and deploying hybrid systems with AWS components is required.An AWS Certified Solutions Architect – Associate level has an annual income of $117,773 per year.3. AWS Certified Developer – AssociateThis Developer Associate Certification exam is all about how to develop and maintain applications on the AWS platform. You must have the knowledge and skills of writing code that can access the AWS applications from the custom business application using the AWS software.During the exam, your understanding of the core AWS services and basic architecture of the AWS platform will be tested. You must have had experience in designing, implementing, deploying, and maintaining AWS-based applications. Apart from this, you must also have knowledge of key AWS services like databases, change management services, workflow services, notifications, and storage services.One must satisfy certain eligibility criteria to take the AWS Certified Developer – Associate exam:Knowledge of the AWS architecture, services offered by the AWS and their uses. Proficiency in using the AWS platform for designing, building, and deploying cloud-based applications as well as applications built for Amazon SNS, SQS, SWS, DynamoDB, S3, CloudFormation, and Elastic Beanstalk. Knowledge of at least one high-level programming language. At least 1 year of working experience in designing and maintaining AWS-based cloud applicationsAn AWS Certified Developer- Associate’s average annual income is $130, 272.4. AWS Certified SysOps Administrator – AssociateThe SysOps Administrator certification exam is the only exam offered by AWS that is completely for system administrators.  To pass this exam, a candidate must have conceptual knowledge as well as technical expertise in operational aspects of the AWS. During the exam, you skills in using the AWS platform for deploying applications, transferring data between the AWS and the data centers, meeting the needs of an organization by selecting the right AWS service, knowledge of how to provision, secure, and manage systems deployed in an AWS environment will be tested.To be eligible for the AWS Certified Developer – Associate exam, the following are required: One or more years of working experience in operating and managing applications deployed on the AWS platform. Must be able to provide guidance on how to deploy and operate applications on AWS, define and identify the best practices available on the AWS for the complete project’s lifecycle as well as the solutions for the applications based on AWS, and understand how to operate, provision and maintain AWS based systems.Every year, an AWS Certified SysOps Administrator – Associate makes about $130,6105. AWS Certified Solutions Architect – ProfessionalA professional AWS architect is responsible for evaluating the requirements of the organization and then making architectural recommendations in order to implement and deploy AWS-based applications. To get this certification, a candidate must have experience and technical skills required to design applications on the AWS platform.The exam for the AWS Solutions Architect – Professional certification will include practices implemented for architecting the AWS-based applications. The candidate must have knowledge of the strategies used for cost optimizations. Also, they must know how to fulfill the application’s requirements by choosing the correct AWS service and how to migrate different, complex applications system to the AWS platform.To be eligible for this certification exam, a candidate must have:At least 2 years of working experience in designing and deploying AWS-based cloud architecture. Skills to recommend services that can be used to design, provision, and deploy AWS-based applications Familiarity with the practices involved in implementing the AWS application’s architecture. Expertise in high-level programming language.As an AWS Certified Solutions Architect – Professional, you will be able to earn $167,500 per year.6. AWS Certified DevOps Engineer – ProfessionalThis certification validates your skills to provision, operate and manage AWS-based applications. The focus of the exam is on the fundamental concepts of the DevOps movement – automation of processes and continuous delivery.During the certification exam, the candidate will be tested on concepts like the modern continuous delivery methodologies and their implementation in the CD systems, setting up, logging, and monitoring systems on AWS, implementation of scalable and highly available systems on AWS, and designing and managing tools required for enabling the automation of production operations.As a DevOps Engineer, a candidate must fulfill certain requirements to be eligible for the AWS Certified DevOps – Professional exam. This includes:Two or more years of working experience in provisioning, managing, and operating applications deployed in the AWS environmentExperience in developing code in a high-level programming languageKnowledge of automation and testing using scripting and programming languages as well as other development processes and methodologies like Agile.The average annual salary of an AWS Certified DevOps Engineer – Professional is $137,724.7. AWS Certified Big Data – SpecialtyThis specialty certification from AWS is for a candidate working in the field of data analytics and have worked with AWS services to design and architect solutions for big data. The certification exam validates the candidate’s skills to use the AWS services to extract the value from data.The areas covered in the exam include implementation of big data services of AWS through best architectural practices, automating the data analysis process using the AWS tools, providing best security practices for big data solutions, knowing how to design and maintain big data, and other AWS services like Athena, Kinesis, Rekognition, and Quicksight.To be eligible for the AWS Certified Big Data – Specialty exam, a candidate must satisfy certain requirements:At least 5 years of experience working in the field of data analytics. Experience in designing and developing robust, scalable, and cost-effective architecture for data processing. Understanding of how to define and architect big data services of AWS and how they exist in the lifecycle of data this includes how to collect, ingest, store, process or visualize.An AWS Certified Big Data – Specialty professional can earn up to $99,909 per year.8. AWS Certified Advanced Networking – SpecialtyThis certification will validate your skills of using the hybrid IT networking architecture and the AWS platform to perform complex tasks related to networking. To ace this exam, one must have experience in implementing and architecting network solutions and knowledge of using the AWS for networking.The areas covered during this exam includes how to design, develop, and deploy AWS-based cloud solutions, using the best architectural practices to implement core services, troubleshooting, optimizing network, implementing compliance and security design, automating the tasks of AWS for network deployments. Also, they must know how to design and maintain network architecture for the AWS platform and leverage analysis and automation tools used for networking tasks on the AWS platform.One must fulfill certain requirements to be eligible for the AWS Certified Advanced Networking – Specialty exam. They must have: Minimum 5 years of working experience in architecting and implementing network solutions. Knowledge and understanding of concepts and technologies used in AWS networking.An AWS Certified Networking specialist can earn up to $113,065 per year.9. AWS Certified Security - SpecialtyFor this certification, you will have to master the fundamentals of the security, the best practices used and have a deep understanding of the key security services on the AWS platform. You will be tested on topics like encryption, data protection, identity and access management, logging, infrastructure security, monitoring, and incident response.The certification exam will cover topics like how to use AWS services to get the desired security level depending on the deployment method and data sensitivity. This also includes using the best data protection techniques like encryption mechanisms, monitoring solutions and implementing logging for analyzing and detecting weaknesses and vulnerabilities in the infrastructure’s security.The eligibility requirements for the AWS Certified Security – Specialty exam are:At least 5 years of experience as an IT security personnel on designing and implementing security solutions. 2 or more years of working experience in securing AWS workloads and knowledge of using security controls for AWS workloads.The annual remuneration of an AWS Certified Security – Specialty professional is $122,155.10. AWS Certified Alexa Skill Builder – SpecialtyThis certification will help you demonstrate your skill in creating, deploying, and testing Amazon Alexa. If you are currently working as an Alexa skill builder, this exam is for you.The exam will cover concepts like the value of the voice, Alexa developer console, implementing security measures by following Alexa and AWS practices, and user experience design.Anyone wanting to get AWS Certified Alexa Skill Builder – Specialty must have:More than 6 months of working experience in a programming knowledge as well as using Alexa Skills Kit to build Alexa skills11. AWS Certified Machine Learning SpecialtyThis certification exam will validate your skills in creating, implementing, and maintaining machine learning solutions for different business problems.During the certification exam, the covered areas will be selecting the best machine learning approach for a given problem, designing and implementing machine learning solutions that are secure, scalable, cost-optimized, and reliable, and identifying the right AWS solution for creating and deploying ML solutions.The eligibility requirement for this certification is:1 to 2 years of working experience in using the AWS cloud for implementing concepts of Machine Learning as well as deep learning. Background in developing and data science.AWS Services have become a major player in the internet infrastructure industry. With the AWS certifications in your hand, you will be able to beat the crowd for the best opportunities. Knowing the eligibility requirements for AWS will help you select which AWS certification is the best for you. This will allow you to prepare for the exam accordingly. All the figures mentioned above are accurate as of August 2019 and are sourced from online job portals such as Indeed.com, Salary.com, Glassdoor.com, etc.
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How Much Salary do Top AWS Certified Professionals earn?

Since the advent of Amazon Web Services, the landscape of the internet’s infrastructure has vastly changed. The services are becoming quite popular because of the ease and scalability they provide in a number of processes. Getting an AWS certification today will help you stay ahead of the crowd. As per a recent salary survey from Global Knowledge, the average yearly salary of an AWS Amazon Certifications holder is $113,932. Salaries have gone up by 10% in just one year and with AWS being the primary computing platform in hundreds of enterprises, there is quite a good chance that they will continue growing.Getting an AWS certification will help you land a better, and more lucrative job. The certification will also open doors for jobs like:Operational Support EngineerThe job of an operational support engineer includes monitoring and resolving operational issues that are reported. Also, they assist in any environment upgrade. Their average annual salary is between $59,000 and $92,000.Cloud Software EngineerA cloud software engineer designs and implements new systems and software services in a high-level programming language like C++, JavaScript, Python, Ruby, etc. They also mentor new junior employees and explain complex processes to non-technical members of the team. They can earn anything between $63,000 and $93,000 per year.System Integrator – CloudFor this job, you need to have a thorough understanding of information systems and cloud computing. They work with the team to help troubleshoot and support complex development processes. A System Integrator can have an average annual income of $81,000.Cloud DeveloperAs a cloud developer, you will be responsible for developing enterprise-level applications and software services. You must have knowledge of common cloud orchestration tools as well as working experience as a software developer to get a high-paying job as a Cloud Developer. The average annual salary of a cloud developer is $95,000.DevOps EngineerA DevOps Engineer is responsible for designing AWS Cloud Solutions that can significantly impact and improve your business. Also, they implement patching or debugging and perform the required server maintenance. Depending on their experience and the company they are working for, the average annual income of a DevOps Engineer varies between $93,000 and $144,000.AWS Solutions ArchitectThe job of an AWS Solutions architect is to design, build, and maintain scalable, cost-efficient, and highly available AWS cloud environments. They keep up with the latest updates in the field of cloud computing and based on this knowledge, make recommendations regarding the AWS toolsets. The average annual income of an AWS Solutions architect ranges between $98,000 and $150,000.AWS SysOps AdministratorTo effectively provision, install, configure, operate and maintain software, virtual systems, and infrastructure, you need an AWS SysOps Administrator. They are also responsible for building dashboards for reporting and maintaining analytics software. Their average salary varies between $111,000 and $160,000 per year.Senior AWS Cloud ArchitectAs a senior AWS cloud architect, they work with engineers and customers. So, they are the technical leader as well as interface with the stakeholders from the client-side. Their responsibilities include leading the implementation process, delivering technical architectures, and successfully integrating the customer environments with new technologies. The average yearly remuneration of a senior AWS Cloud Architect is $165,000.According to Forrester, by 2020, the market for the Amazon cloud will reach $236B. With more and more companies adopting cloud services, the shortage of AWS Certified Professionals continues, driving up salaries and incentives. The AWS provides associate and professional level certification for developers, solutions architects, and system operations administrators to help bridge this gap. Here, we have explained in detail all the different certifications offered by1. AWS Cloud Practitioner – FundamentalThis certification is for managers, sales, C-level executives, and marketing associates who need to have a basic knowledge of the AWS cloud. To prepare for this certification, there is a digital course offered by AWS for free. The average annual salary of a professional holding an AWS Cloud Practitioner certification is $113,932.2. AWS Certified Solutions ArchitectThis certification is offered at two levels; the Associate level and the Professional level. To advance to the professional level, you must first earn an associate-level certification.Solutions Architect AssociateAWS Certified Solutions Architect Associate one of the most popular AWS certifications, it is mostly preferred by professionals who are just entering the arena of cloud architecting and want to use the AWS platform for designing distributed applications. This certification will help you demonstrate your skill in designing and developing efficient and effective solutions on the platform of Amazon Web Services. Before taking the exam, you must know how to:  Use the AWS platform to deploy on-premise apps  Design and deploy highly available and scalable systems on AWS  Select the AWS service according to your requirementsIn the United States and Canada, the average annual income of an IT professional with AWS Certified Solutions Architect – Associate Level is $130,883.Solutions Architect ProfessionalThis AWS certification will display your advanced expert skills in designing the applications and distributed systems on the AWS platform. You need to have the Associate level certification to take up the exam. Before you take the exam, you must have the following skills:2+years of working experience in designing and deploying cloud architecture on the AWS platform.Using the AWS for migrating complex, multi-tier applications.An IT associate with the AWS Certified Solutions Architect – Professional can earn an average income of $148,456 per year.3. AWS Certified DeveloperAWS Developer Certification will allow you to demonstrate your skills in developing and maintaining AWS applications. To achieve this certification, you must know how to:  Select the right AWS service according to the application  Write optimized code in a high-level programming language  Interact with other services from the application using software development kits (SDKs)  Maintain application security at the code levelThe average salary of an IT professional with the AWS Certified Developer certificate is about $130,272 in North America.4. AWS Certified SysOps AdministratorSysOps Administrator certification from the Amazon Web Services will demonstrate how well you can deploy, scale, migrate, and manage systems on the AWS platform. To ace this certification, you must have the following skills:  Managing the cloud applications deployed on the AWS platform  Controlling and implementing the data flow to and from AWS  Identifying the cost control mechanism of the operations  Migrating the on-premises apps to the AWS platformIn North America, the average salary of an AWS Certified SysOps Administrator is about $130,610.5. AWS Certified DevOps EngineerThis certification validates your skills to provision, manage, secure, and operate distributed application systems and the AWS solutions. For obtaining this certification, you must have professional-level certification for SysOps Administrator as well as Developer. Candidates planning to take up this exam must have a thorough understanding of the following:  How to provision and manage AWS environments  Implement and manage continuous delivery methodologies and systems on the AWS platform  Governance processes and security controls  Automating the operational process by maintaining the tools required to do soIn the United States and Canada, the average annual earnings of an AWS Certified DevOps Engineer is about $137,724.6. AWS Certified Big Data – SpecialtyAs an individual with the AWS Big Data certification, you will be able to display your skills of designing and managing AWS solutions of organizations that use business data for extracting actionable intelligence and valuable insights. All candidates must have at least one AWS associate-level certification. Also, 5+years of working experience in data analytics is recommended. With this certification, an IT professional can bag an annual pay of more than $130,000.7. AWS Certified Advanced Networking – SpecialtyThis AWS certification validates your skills in designing and deploying AWS to scale as part of an IT network hybrid architecture. To get this certification, you must have one of the AWS Associate credentials. Apart from that, +5 years of working experience in managing and architecting network solutions for the enterprise is recommended.8. AWS Certified Security – SpecialtyThis certification validates your skills to use advanced methods to secure the AWS platform. This includes data protection by using encryption techniques. For this certification, you must have any one of the Associate certifications or an AWS Cloud Practitioner certification. Also, +5 years of working experience in securing the AWS platform is a must.9. AWS Certified Alexa Skill Builder – SpecialityWith this certification, you will be able to create, test, and deploy Amazon’s Alexa. To be eligible for this certification, you must be an expert in a high-level programming language and have at least 6 months of experience working with Alexa skills kit.10. AWS Certified Machine Learning – SpecialtyYou must take this certification for demonstrating your skills of designing, implementing, and maintaining the machine learning solutions of the organization. For this, you must have a data science and development background as well as 1-2 years of working experience with machine learning and deep learning. Since all the AWS services are continuously updated, you need to take the recertification exam every three years. The market for cloud services is rapidly evolving. AWS is releasing new services and products to stay in the competition. New certifications are launched along with new solutions to help validate the skills of an IT professional. The importance and need for validating the AWS skills with the certifications are only going to grow in the future. There are so many people working in the IT industry. You need something that will help you outshine the others. AWS provides all the resources that you will need to get the certification including hands-on practice labs and questionnaires. Apart from this, there are exam readiness workshops and authorized training courses that will help you learn the skills and focus on the exam.All the figures mentioned above are accurate as of August 2019 and are sourced from online job portals such as Indeed.com, Salary.com, Glassdoor.com, etc. 
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How Much Salary do Top AWS Certified Professionals...

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