COMPUTE ENGINE OF GOOGLE CLOUD

Google, I think all over the world, this word is known to everybody. This is not just the word this is everything nowadays. You are using Google on Mobiles, on laptops, ipads, iphones, everywhere. We all are familiar with Google search engine, GMail, You tube, etc which have become a part of our life. But did anybody think that what is the base of running Google search engine, GMail, You tube and other services. The answer for the question is  GCE(Google Compute Engine. GCE is actually the infrastructure as a service component of GCP(Google Cloud Platform) which is built on global infrastructure that runs all the services of Google like GMail, Youtube, etc. The main point here to notice that GCE enables the clients or users to launch virtual machines on demand. 

Following are the unique features of compute engine 

(Source:https://www.forbes.com/sites/janakirammsv/2016/05/09/five-unique-features-of-google-compute-engine-that-no-iaas-provider-could-match/#1f099eb53441):

• Sustained Usage Discounts
• Pre-emptible VMs
• Custom VM Sizes
• Online Disk Resizing
• Shared Storage.

The usefulness of compute engine is that it allows clients or users to use powerful virtual machines in a cloud as the server resources, instead of acquiring and managing a hardware. 

So summarizing this, Compute Engine can help to create and run thousands of virtual machine(vCPUs) on a single system that too providing scaling, and consistent performance.

For complete documentation on Google compute engine prefer the site:  https://cloud.google.com/compute/docs

Mobile Cloud Computing

 "Mobile Cloud Computing" term  itself denotes as it is a combination of two concepts that is cloud computing and mobile networks. When the advantages of both merged up we get a new concept known as Mobile Cloud Computing.

This new emerging technology helps to bring benefits for mobile users, network providers, and mobile networks.

Can you imagine, how many people instead of using PCs, preferred to use smart phones for maximum work. This is due to mobile devices are more compact and comfortable to use; and the most important thing is internet is now accessible on mobile devices too.  

So, mobile devices are preferred over PC. Even now a days small start ups and businesses are also dependent on these mobile devices. So, if these mobile networks when combine with the cloud computing concepts, the user able to get the infrastructure, platform and software, anywhere, everywhere and anytime. 

Main reasons for using this mobile cloud computing are :

1) It helps to easily share the content and assets.

2) It also helps to easily maintain  the data

3) It also handles and tolerate the crashes and deletion of data

4) Most important is cloud computing is the main part brain of this concept

In actual terms, Mobile Cloud Computing is the infrastructure where the processing and storage of data is done outside the mobile devices.

Some of the characteristics of mobile cloud computing are:

1) Scalability  2) Reliability  3) Security  4) Reduced cost  5) Reduced Maintenance

Mobile Cloud Computing  architecture is as follows:

Applications of Mobile Cloud Computing are:

1) improves reliability

2) security

3) Processing speed  and data storage capacity increases

4) It also helps in increasing battery life of mobile devices

5) improves availability

CLOUD BIGTABLE: NO SQL Database service

Can you imagine how Google power there core services :Search, Maps,Analytics and Gmail? I think we can't even imagine this.The powerful tool used is known as "CLOUD BIGTABLE" by Google.

CLOUD BIGTABLE (https://cloud.google.com/bigtable/docs/overview) is a sparsely populated table that can scale to billions of rows and thousands of columns, enabling you to store terabytes or even petabytes of data. As in Bigtable the data is stored in the rows and columns , so each value is entered in a single cell and is called row key.

Basically this Cloud Bigtable can be used for map-reducing operations or we can for analysis purposes.

Also, the value that can be entered in a single cell must not be larger than 10 MB.

Following are the types of data that can be stored and can be queried:

• Time-series data: These are the type of data that includes the CPU and memory usage over time for multiple servers.
• Marketing data: These are the data that includes what are the customer's preferences and the history what he had purchased earlier.
• Financial data: These are the data that includes mainly stock prices, transaction histories and currency exchange rates.
• Internet of Things data: These are the data that includes mainly your reports that how much amount of energy is consumed by the home appliances or office appliances.
• Graph data: These are the data that includes the information about how users are connected to one another.

        CLOUD BIGTABLE ARCHITECTURE

                   Figure : CLOUD BIGTABLE

(Source:https://cloud.google.com/bigtable/docs/overview)

                                          

The above figure shows the architecture of CLOUD BIGTABLE . In the above figure, there are some points to notice:

1) there are number of nodes that are actually a cluster of nodes that are called a Cloud Bigtable instance, that is a container for cluster. 

2)All the requests coming from the client are sent to the Cloud Bigtable node but first have to pass through front end server.

3) A Cloud Bigtable is divided into the blocks of contiguous rows also known as tablets. These tablets are stored on colossus, Google's file system in SSTable format.

4)  Along with the SSTable files, all writes are stored in Colossus's shared log as soon as they are acknowledged by Cloud Bigtable, providing increased durability.

5) Also, the data is never stored in Cloud Bigtable Node, each  node has the pointers to the set of the tablets that are stored on colossus.

6) If by chance Cloud Bigtable node fails, then the data is not lost.

Cloud SQL: "A Database or A Service of Google Cloud?"

 

Google helps us to manage our database fully. We can totally focus on our applications. For this "Cloud SQL" is a good solution .It is a fully-managed database service that helps us to easily set up, maintain and administer our relational PostgreSQL and MySQL databases in the cloud.

 It offers high performance, vertical scalability, and convenience.

You can try on "Cloud SQL" for free using the following site  " https://cloud.google.com/sql ".

If hosted on Google Cloud Platform, Cloud SQL will help you to provide database infrastructure for the applications running anywhere.

Mainly Cloud SQL is good for E-Commerce Applications, CRM tools, Word Press sites etc. It can also be used for the applications that are compatible with PostgreSQL and My SQL. Plus point of this is that , everything is automated that are all backups, replication, patches and updates.Even in this our data is automatically encrypted also. 

Key Features of Cloud SQL are as follows:

1) Scalability: Cloud SQL has the property of scalability as it can easily scale up to 64 processor core and 400 GB  RAM.

2) Integrated: It means Cloud SQL has the ability to integrate with any application whenever required irrespective of the geographical location. It can easily connect from App Engine, Compute Engine, and our workstation.

3) High Performance: This feature says that Cloud SQL can tackle small workloads to high intensive workloads.

4) Security :As I said earlier every data is automatically encrypted in Cloud SQL.So Cloud SQL customer's data is totally encrypted either it is backup, data in the databases, temporary files etc.

5) Fully managed :Saving time as backups, replication and management is taken care of automatically.

Such a great service by Google Cloud!!!!!!

KUBERNETES

Kubernetes is mainly the container-orchestration system which is designed by Google and is now maintained by the Cloud Native Computing Foundation. It is actually an open-source container.

If we see the term Kubernetes, it simply means it is an open-source platform that automates Linux container operations.

 Google Kubernetes Engine (GKE) runs certified Kubernetes. It provides a controlled and managed environment for deploying, managing, and scaling, the containerized applications. It uses Google infrastructure for this.

In GKE, there are multiple machines that are grouped together to form a cluster. 

The question that comes in mind that why Google has go for Kubernetes or what is the need for making this engine. The reason here is to bring container orchestration to the masses, and the only way is to combine the open-source technology and built the community around it. 

The three main problems that the Kubernetes solved that are:

1) It is portable and runs on the cloud providers, bare-metal, hybrid, or both.

2) It is configurable and modular.

3) Auto-placement, Auto-restart, Auto-replication, and Auto-healing of containers are the mains feature it provides.

Do you also know that Kubernetes is also known as K8s . Here, 8 is for "ubernete", an eight-letter word.

One more question that comes in mind that Docker is a container, so is Kubernetes a docker, or are they different?

The point here to note that Kubernetes is a container orchestrator, whereas Docker is an application that helps to run containerized applications.

So, Kubernetes can run without Docker and can use other applications that managed many containerized applications like RunC, cri-o, etc. These are deployed with Kubernetes.

Also, Dockers can also be installed on the system and is a standalone application. But, If Dockers is deployed with Kubernetes, this combination goes very well.

Here, Kubernetes is discussed and it mainly developed for container orchestration. So, the next thing to think is what is the need for containerization in virtualization.

So, here is the answer, Containerization helps to eliminate the problem of transferring code from desktop computer to Virtual Machine (VM), or from Linux to Windows OS by bundling the application code, with configuration files, libraries, dependencies required it for it to run.

So, I think the Kubernetes is clear to all!!!!!

QUIZ ON SECURITY OF CLOUD

QUIZ ON VIRTUALIZATION