10Clouds

Product Development for Startups and Enterprise

5.00/5 (2 Reviews)
10Clouds is a team of 100+ experienced developers and designers based in Poland, ready to help you build your web and mobile applications. Since 2009 we have built and designed software for more than 90 businesses worldwide, mainly in the United States, Western Europe, an...
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$50 - $99/hr
50 - 249
2009
Poland, United States
10Clouds
Product Development for Startups and Enterprise
5.00/5 (2 Reviews)
Developing web application in early days required hack of work with no frameworks, program libraries and distributed database- resources were wasted away, and software development was expensive.Over the years this has changed as software developing technology transformed from physical to virtual machine and now to containerization.    Before containerization came into existence, the developers biggest challenge was to run an app in a single environment regardless of their platform, language, or framework.  Containerization  Containerization involves bundling an application together with all of its related configuration files, libraries and dependencies required for it to run across different computing environments. They are very useful in developing, deployment, and testing modern distributed apps and microservices. No matter what platform, language, or database is used the container eliminates all the road-blocks. [ Image source: edureka blog ] One of the most popular containerization ecosystems is Kubernetes. What is Kubernetes Kubernetes is an open-source container management tool developed by Google. It provides a “platform for automating deployment, scaling, and operations of application containers across clusters of hosts. It is developed for managing containerized applications in a clustered environment. The process is referred as container orchestration.  The deployment of Kubernetes may seem relatively easy, but it is not. It needs much technical expertise and highly skilled resources to set-up and manage. Kubernetes can help DevOps in simplifying the operations.   Kubernetes Architecture    [ Image source: sensu.io blog] Components of Kubernetes Architecture  Kubernetes Master: It is a control panel for the whole Kubernetes. Node/Minion: It contains all the necessary components to manage networking between the containers, communicate with the master node, and allocate resources to the containers scheduled. It is a set of CPU and RAM resources. Pods: Pods hold single or multiple containers Container: Your applications (web servers, databases, API servers, etc.) run inside the containers. Containers enable developers to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. Kublet: It monitors the pod and ensures everything is running seamlessly as well as execute instructions given by Master node Docker:Runs on each worker node and downloads images and starting containers. Kube Proxy: It is responsible for traffic routing. Kubectl: It is a command-line tool used to deploy applications, inspect and manage cluster resources, and view logs  Kubernetes objects such as replica sets, pods, and services, are submitted to the master. Based on the defined requirements and availability of resources, the master schedules the pod on a specific node.  In recent years, containers have become synonymous with cloud-native application architecture. In cloud environments, containers and VMs can be used together to provide users a great deal of flexibility in deploying, structuring, and managing their applications.  Below table highlights some popular cloud providers features for kubernetes.    From above analytics, we can say that Google Kubernetes,, Amazon and Microrsoft Azure are the best cloud providers for Kubernetes.  Here is the price plan from popular cloud providers of Kubernetes. Below plan is for 4 CPUs, and the price varies with the number of CPUs and storage size.  [ Image Source: Presslabs] Note**- The above plan could differ if there is any price revision conducted by the cloud providers
Developing web application in early days required hack of work with no frameworks, program libraries and distributed database- resources were wasted away, and software development was expensive.Over the years this has changed as software developing technology transformed from physical to virtual machine and now to containerization.    Before containerization came into existence, the developers biggest challenge was to run an app in a single environment regardless of their platform, language, or framework.  Containerization  Containerization involves bundling an application together with all of its related configuration files, libraries and dependencies required for it to run across different computing environments. They are very useful in developing, deployment, and testing modern distributed apps and microservices. No matter what platform, language, or database is used the container eliminates all the road-blocks. [ Image source: edureka blog ] One of the most popular containerization ecosystems is Kubernetes. What is Kubernetes Kubernetes is an open-source container management tool developed by Google. It provides a “platform for automating deployment, scaling, and operations of application containers across clusters of hosts. It is developed for managing containerized applications in a clustered environment. The process is referred as container orchestration.  The deployment of Kubernetes may seem relatively easy, but it is not. It needs much technical expertise and highly skilled resources to set-up and manage. Kubernetes can help DevOps in simplifying the operations.   Kubernetes Architecture    [ Image source: sensu.io blog] Components of Kubernetes Architecture  Kubernetes Master: It is a control panel for the whole Kubernetes. Node/Minion: It contains all the necessary components to manage networking between the containers, communicate with the master node, and allocate resources to the containers scheduled. It is a set of CPU and RAM resources. Pods: Pods hold single or multiple containers Container: Your applications (web servers, databases, API servers, etc.) run inside the containers. Containers enable developers to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. Kublet: It monitors the pod and ensures everything is running seamlessly as well as execute instructions given by Master node Docker:Runs on each worker node and downloads images and starting containers. Kube Proxy: It is responsible for traffic routing. Kubectl: It is a command-line tool used to deploy applications, inspect and manage cluster resources, and view logs  Kubernetes objects such as replica sets, pods, and services, are submitted to the master. Based on the defined requirements and availability of resources, the master schedules the pod on a specific node.  In recent years, containers have become synonymous with cloud-native application architecture. In cloud environments, containers and VMs can be used together to provide users a great deal of flexibility in deploying, structuring, and managing their applications.  Below table highlights some popular cloud providers features for kubernetes.    From above analytics, we can say that Google Kubernetes,, Amazon and Microrsoft Azure are the best cloud providers for Kubernetes.  Here is the price plan from popular cloud providers of Kubernetes. Below plan is for 4 CPUs, and the price varies with the number of CPUs and storage size.  [ Image Source: Presslabs] Note**- The above plan could differ if there is any price revision conducted by the cloud providers

Developing web application in early days required hack of work with no frameworks, program libraries and distributed database- resources were wasted away, and software development was expensive.Over the years this has changed as software developing technology transformed from physical to virtual machine and now to containerization

 

Before containerization came into existence, the developers biggest challenge was to run an app in a single environment regardless of their platform, language, or framework. 

Containerization 

Containerization involves bundling an application together with all of its related configuration files, libraries and dependencies required for it to run across different computing environments. They are very useful in developing, deployment, and testing modern distributed apps and microservices. No matter what platform, language, or database is used the container eliminates all the road-blocks.

[ Image source: edureka blog ]

One of the most popular containerization ecosystems is Kubernetes.

What is Kubernetes

Kubernetes is an open-source container management tool developed by Google. It provides a “platform for automating deployment, scaling, and operations of application containers across clusters of hosts. It is developed for managing containerized applications in a clustered environment. The process is referred as container orchestration. 

The deployment of Kubernetes may seem relatively easy, but it is not. It needs much technical expertise and highly skilled resources to set-up and manage. Kubernetes can help DevOps in simplifying the operations. 

 Kubernetes Architecture 

 

[ Image source: sensu.io blog]

Components of Kubernetes Architecture 

  • Kubernetes Master: It is a control panel for the whole Kubernetes.
  • Node/Minion: It contains all the necessary components to manage networking between the containers, communicate with the master node, and allocate resources to the containers scheduled. It is a set of CPU and RAM resources.
  • Pods: Pods hold single or multiple containers
  • Container: Your applications (web servers, databases, API servers, etc.) run inside the containers. Containers enable developers to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package.
  • Kublet: It monitors the pod and ensures everything is running seamlessly as well as execute instructions given by Master node
  • Docker:Runs on each worker node and downloads images and starting containers.
  • Kube Proxy: It is responsible for traffic routing.
  • Kubectl: It is a command-line tool used to deploy applications, inspect and manage cluster resources, and view logs
     

Kubernetes objects such as replica sets, pods, and services, are submitted to the master. Based on the defined requirements and availability of resources, the master schedules the pod on a specific node. 

In recent years, containers have become synonymous with cloud-native application architecture. In cloud environments, containers and VMs can be used together to provide users a great deal of flexibility in deploying, structuring, and managing their applications. 

Below table highlights some popular cloud providers features for kubernetes. 

 

From above analytics, we can say that Google Kubernetes,, Amazon and Microrsoft Azure are the best cloud providers for Kubernetes. 

Here is the price plan from popular cloud providers of Kubernetes. Below plan is for 4 CPUs, and the price varies with the number of CPUs and storage size.

 [ Image Source: Presslabs]

Note**- The above plan could differ if there is any price revision conducted by the cloud providers

Amazon Web Services (AWS) is the most experienced and oldest (founded in 2006) service provider in the market.  Google Cloud Platform (GCP) started its journey in 2011 and has created a significant presence in the industry.  Microsoft Azure was established in February 2010 and has created a fighting ground for itself against the rivals.  COMPUTE:  AWS’s Elastic Compute Cloud (EC2) is the primary solution that offers scalable computing on demand. GCP’s Compute Engine and Microsoft Azure’s Virtual Machine and Virtual Machine Sale Sets are viable competitors of the EC2.  If the focus is deploying software containers with Docker, Google and Amazon both offer two suitable solutions, namely Container Engine and Container Registry, and EC2 Container Service (ECS) and EC2 Container Registry (ECR) respectively. Whereas, Container Service offered by Azure provides similar features but does not support methods for private Docker registries.  STORAGE:  AWS’s Simple Storage Service contains extensive documentation including a wide range of sample code and libraries along with numerous articles and tutorials. AWS undoubtedly tops Google’s Cloud Storage along with Azure’s Storage and Data Lake Store, since it has active discussion forums and free webinars.  PRICING:  Detailed analysis of the hourly on-demand pricing comparison between AWS, Azure, and Google Cloud by SIMFORM concluded the following findings.   The pricing model offered by Azure for General purpose server is the lowest.  As for compute optimized server, Google Cloud provides the most economical priced model.  AWS delivers the cheapest price model for GPU instances and offers Memory optimized servers at a similar price as Azure, which is less than the amount charged by Google Cloud.   MARKET SHARE:  Azure is generally preferred by the new generation and small/medium-sized enterprises.  Developers who are working on enterprise applications opt for Google Cloud. According to Synergy Research, AWS has the maximum share (33%) in the cloud infrastructure service market as of the second quarter of 2019.  There are several top implementation service provider who can assist businesses in finding the right service and offer guidance in selecting the ideal service provider whether you are looking for AWS partners, Azure consulting companies, or Google Cloud platform consultant.  
Amazon Web Services (AWS) is the most experienced and oldest (founded in 2006) service provider in the market.  Google Cloud Platform (GCP) started its journey in 2011 and has created a significant presence in the industry.  Microsoft Azure was established in February 2010 and has created a fighting ground for itself against the rivals.  COMPUTE:  AWS’s Elastic Compute Cloud (EC2) is the primary solution that offers scalable computing on demand. GCP’s Compute Engine and Microsoft Azure’s Virtual Machine and Virtual Machine Sale Sets are viable competitors of the EC2.  If the focus is deploying software containers with Docker, Google and Amazon both offer two suitable solutions, namely Container Engine and Container Registry, and EC2 Container Service (ECS) and EC2 Container Registry (ECR) respectively. Whereas, Container Service offered by Azure provides similar features but does not support methods for private Docker registries.  STORAGE:  AWS’s Simple Storage Service contains extensive documentation including a wide range of sample code and libraries along with numerous articles and tutorials. AWS undoubtedly tops Google’s Cloud Storage along with Azure’s Storage and Data Lake Store, since it has active discussion forums and free webinars.  PRICING:  Detailed analysis of the hourly on-demand pricing comparison between AWS, Azure, and Google Cloud by SIMFORM concluded the following findings.   The pricing model offered by Azure for General purpose server is the lowest.  As for compute optimized server, Google Cloud provides the most economical priced model.  AWS delivers the cheapest price model for GPU instances and offers Memory optimized servers at a similar price as Azure, which is less than the amount charged by Google Cloud.   MARKET SHARE:  Azure is generally preferred by the new generation and small/medium-sized enterprises.  Developers who are working on enterprise applications opt for Google Cloud. According to Synergy Research, AWS has the maximum share (33%) in the cloud infrastructure service market as of the second quarter of 2019.  There are several top implementation service provider who can assist businesses in finding the right service and offer guidance in selecting the ideal service provider whether you are looking for AWS partners, Azure consulting companies, or Google Cloud platform consultant.  

Amazon Web Services (AWS) is the most experienced and oldest (founded in 2006) service provider in the market. 

Google Cloud Platform (GCP) started its journey in 2011 and has created a significant presence in the industry. 

Microsoft Azure was established in February 2010 and has created a fighting ground for itself against the rivals. 

COMPUTE: 

AWS’s Elastic Compute Cloud (EC2) is the primary solution that offers scalable computing on demand. GCP’s Compute Engine and Microsoft Azure’s Virtual Machine and Virtual Machine Sale Sets are viable competitors of the EC2. 

If the focus is deploying software containers with Docker, Google and Amazon both offer two suitable solutions, namely Container Engine and Container Registry, and EC2 Container Service (ECS) and EC2 Container Registry (ECR) respectively. Whereas, Container Service offered by Azure provides similar features but does not support methods for private Docker registries. 

STORAGE: 

AWS’s Simple Storage Service contains extensive documentation including a wide range of sample code and libraries along with numerous articles and tutorials. AWS undoubtedly tops Google’s Cloud Storage along with Azure’s Storage and Data Lake Store, since it has active discussion forums and free webinars. 

PRICING: 

Detailed analysis of the hourly on-demand pricing comparison between AWS, Azure, and Google Cloud by SIMFORM concluded the following findings.  

  • The pricing model offered by Azure for General purpose server is the lowest. 
  • As for compute optimized server, Google Cloud provides the most economical priced model. 
  • AWS delivers the cheapest price model for GPU instances and offers Memory optimized servers at a similar price as Azure, which is less than the amount charged by Google Cloud.  

MARKET SHARE: 

  • Azure is generally preferred by the new generation and small/medium-sized enterprises. 
  • Developers who are working on enterprise applications opt for Google Cloud.
  • According to Synergy Research, AWS has the maximum share (33%) in the cloud infrastructure service market as of the second quarter of 2019. 

There are several top implementation service provider who can assist businesses in finding the right service and offer guidance in selecting the ideal service provider whether you are looking for AWS partners, Azure consulting companies, or Google Cloud platform consultant.  

Data Security Challenges in Cloud Computing With the increasing volume of the data in the companies, the handling of data has become an onerous issue.Thus, the companies are moving towards the internet based cloud model.It requires the prominece of ensuring the data security, data leakage, also from hacking and contravention.Cloud Vendors provide various types of securities but though there are chances of attacks like wrapping attcks,insider attacks, man in the middle cloud attacks and so on. Some of the challenges within the cloud are: 1)Confidentiality: They are checked to ensure the data is protected from the attacks.Some testings are done regarding security from the external users. 2)Integrity: Data security policies must be there which should be limited to some people only. Not everyone can access that data.It should be maintained to avoid the data loss. 3)Locality: The data is actually distributed in the different regions and so to find the location of the data sometimes become strenous.The data may also change while movinng to different locations. 4)Access: There should a control and restriction of access so that not everyone can use the data.It actually refers to the data security policies. 5)Breaches: Wide variety of data is stored in cloud.There are chances of hacking of data by the breachers.It can occur while the transmission of data. 6)Storage: The data stored in the virtual machines have issue of the data storage.
Data Security Challenges in Cloud Computing With the increasing volume of the data in the companies, the handling of data has become an onerous issue.Thus, the companies are moving towards the internet based cloud model.It requires the prominece of ensuring the data security, data leakage, also from hacking and contravention.Cloud Vendors provide various types of securities but though there are chances of attacks like wrapping attcks,insider attacks, man in the middle cloud attacks and so on. Some of the challenges within the cloud are: 1)Confidentiality: They are checked to ensure the data is protected from the attacks.Some testings are done regarding security from the external users. 2)Integrity: Data security policies must be there which should be limited to some people only. Not everyone can access that data.It should be maintained to avoid the data loss. 3)Locality: The data is actually distributed in the different regions and so to find the location of the data sometimes become strenous.The data may also change while movinng to different locations. 4)Access: There should a control and restriction of access so that not everyone can use the data.It actually refers to the data security policies. 5)Breaches: Wide variety of data is stored in cloud.There are chances of hacking of data by the breachers.It can occur while the transmission of data. 6)Storage: The data stored in the virtual machines have issue of the data storage.

Data Security Challenges in Cloud Computing

With the increasing volume of the data in the companies, the handling of data has become an onerous issue.Thus, the companies are moving towards the internet based cloud model.It requires the prominece of ensuring the data security, data leakage, also from hacking and contravention.Cloud Vendors provide various types of securities but though there are chances of attacks like wrapping attcks,insider attacks, man in the middle cloud attacks and so on.

Some of the challenges within the cloud are:

1)Confidentiality: They are checked to ensure the data is protected from the attacks.Some testings are done regarding security from the external users.

2)Integrity: Data security policies must be there which should be limited to some people only. Not everyone can access that data.It should be maintained to avoid the data loss.

3)Locality: The data is actually distributed in the different regions and so to find the location of the data sometimes become strenous.The data may also change while movinng to different locations.

4)Access: There should a control and restriction of access so that not everyone can use the data.It actually refers to the data security policies.

5)Breaches: Wide variety of data is stored in cloud.There are chances of hacking of data by the breachers.It can occur while the transmission of data.

6)Storage: The data stored in the virtual machines have issue of the data storage.

Cloud Computing is basically delegating your data storage & computing functions to an external data centre which can be accessed using the internet. According to me small to medium enterprises need Cloud Computing for 2 main reasons. First is so you can direct your focus completely on your business, and second is to save the unnecessarily large amount of investment you would require to setup servers. Conserve the much needed financial resource Let’s say you own an ecommerce website, your website is not going to witness heavy traffic throughout the day. Instead, the maximum traffic will be witnessed during a short time called. This peak hour, is between 6:00pm to 10:00pm as most people are free and at home during this time. Your website will need maximum servers backing it during this time to accommodate the amount of traffic coming in, or else your website will end up crashing and disappointing your customers. However, you will see a sharp decline in visitors after 10:00pm, and maybe eventually no traffic for the rest of the day during which your servers will remain idle. Servers are not cheap, and this would mean that you are just letting your server sit idly when you have already burnt a hole in your pocket setting it up. It can get pretty distracting So your servers are up and running and so is your website. But, everyday is not Sunday. During the course you will face many issues which may keep you worried like - · Maintenance of the servers, · Ensuring servers don’t get affected by power · Avoid any downtime on your website · Keeping your server updated with the latest security patches, and so on.. This will just prevent you from focusing on your goals and running your business in general. This is where Cloud Computing comes in and solves these problems for you. Come Cloud Computing, you don’t need to setup your own servers anymore. Instead, you can just rent them from such service providers on monthly, daily, hourly or sometimes even on minute basis. You simply have to pay for the servers as long as you use them and can easily terminate them whenever you chose to. Cloud Computing is highly adaptable as you can change the number of servers you require during peak hours to the maximum number that you need, and decrease it to the minimum during idle hours. All this is done with no worry of maintaining these servers yourself as the service providers will be doing this for you.
Cloud Computing is basically delegating your data storage & computing functions to an external data centre which can be accessed using the internet. According to me small to medium enterprises need Cloud Computing for 2 main reasons. First is so you can direct your focus completely on your business, and second is to save the unnecessarily large amount of investment you would require to setup servers. Conserve the much needed financial resource Let’s say you own an ecommerce website, your website is not going to witness heavy traffic throughout the day. Instead, the maximum traffic will be witnessed during a short time called. This peak hour, is between 6:00pm to 10:00pm as most people are free and at home during this time. Your website will need maximum servers backing it during this time to accommodate the amount of traffic coming in, or else your website will end up crashing and disappointing your customers. However, you will see a sharp decline in visitors after 10:00pm, and maybe eventually no traffic for the rest of the day during which your servers will remain idle. Servers are not cheap, and this would mean that you are just letting your server sit idly when you have already burnt a hole in your pocket setting it up. It can get pretty distracting So your servers are up and running and so is your website. But, everyday is not Sunday. During the course you will face many issues which may keep you worried like - · Maintenance of the servers, · Ensuring servers don’t get affected by power · Avoid any downtime on your website · Keeping your server updated with the latest security patches, and so on.. This will just prevent you from focusing on your goals and running your business in general. This is where Cloud Computing comes in and solves these problems for you. Come Cloud Computing, you don’t need to setup your own servers anymore. Instead, you can just rent them from such service providers on monthly, daily, hourly or sometimes even on minute basis. You simply have to pay for the servers as long as you use them and can easily terminate them whenever you chose to. Cloud Computing is highly adaptable as you can change the number of servers you require during peak hours to the maximum number that you need, and decrease it to the minimum during idle hours. All this is done with no worry of maintaining these servers yourself as the service providers will be doing this for you.

Cloud Computing is basically delegating your data storage & computing functions to an external data centre which can be accessed using the internet. According to me small to medium enterprises need Cloud Computing for 2 main reasons. First is so you can direct your focus completely on your business, and second is to save the unnecessarily large amount of investment you would require to setup servers.

Conserve the much needed financial resource

Let’s say you own an ecommerce website, your website is not going to witness heavy traffic throughout the day. Instead, the maximum traffic will be witnessed during a short time called. This peak hour, is between 6:00pm to 10:00pm as most people are free and at home during this time. Your website will need maximum servers backing it during this time to accommodate the amount of traffic coming in, or else your website will end up crashing and disappointing your customers. However, you will see a sharp decline in visitors after 10:00pm, and maybe eventually no traffic for the rest of the day during which your servers will remain idle. Servers are not cheap, and this would mean that you are just letting your server sit idly when you have already burnt a hole in your pocket setting it up.

It can get pretty distracting

So your servers are up and running and so is your website. But, everyday is not Sunday. During the course you will face many issues which may keep you worried like -

· Maintenance of the servers,

· Ensuring servers don’t get affected by power

· Avoid any downtime on your website

· Keeping your server updated with the latest security patches, and so on..

This will just prevent you from focusing on your goals and running your business in general.

This is where Cloud Computing comes in and solves these problems for you. Come Cloud Computing, you don’t need to setup your own servers anymore. Instead, you can just rent them from such service providers on monthly, daily, hourly or sometimes even on minute basis. You simply have to pay for the servers as long as you use them and can easily terminate them whenever you chose to. Cloud Computing is highly adaptable as you can change the number of servers you require during peak hours to the maximum number that you need, and decrease it to the minimum during idle hours. All this is done with no worry of maintaining these servers yourself as the service providers will be doing this for you.

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10Clouds
Finlandzka 10, Warszawa, Mazowieckie 03-903
Poland
+48 575 909 903
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10Clouds
3423 Piedmont Rd NE, Atlanta, Georgia 30305
United States
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