Google Cloud Development

What is Google Cloud Platform?What is Google Cloud

Google Cloud Platform is a set of cloud-based tools and services that work along the same principles of the infrastructure that Google employs itself to develop vaArious software products along with Google cloud apps.

Its capabilities include remote project management, calculations, data storing, analysis and machine learning based on the accumulated data. If you already have software that operates locally on a private hosting platform or within random cloud storage we can help you conduct google cloud migration of your existing software.

Our in-house google cloud consultant will clarify all the “ins and outs” of this infrastructure, direct a dedicated software team with advanced methods and share the common principles of successful project implementation. In order to register on the platform and initiate Google cloud development efforts, you will need a bank card to add to your personal account.

Included Software ProductsTIncluded Software Products

Google cloud platform consists of the following software solutions:

App Engine

Google App Engine or GAE provides hosting for websites and web apps. There are qualified Google app engine developers that usually work with it. It provides a whole package of capabilities, including

Journal management
Email newsletter
Scaling
Image editing
Cron-based tasking

Version management
Task sequencing;
Work with search requests
Performance analysis
Network content delivery

Employing Google app engine services you get to launch cloud apps based on one of the most advanced software infrastructures in the world. GAE is compatible with Java, Python, PHP, and Go.

Cloud Pub/Sub – a special service for cloud messaging and data streaming

This one is a specialized service for google cloud platform developers that provides the flexibility and reliability of the middleware for corporate messaging. In essence, Cloud Pub/Sub is a scalable messaging system that can also boast of some handy analytical capacities. All in all, Cloud Pub/Sub grants reliable message sharing with minimum delays, which helps developers integrate systems in and outside of Google Cloud Platform faster.

Google Video Intelligence– a graphical interface

This service is used to help apps intelligently define video and text content by its subject matter. It can also be employed to transcribe the video files’ contents as well as to:

Register frame rate shifts
Recognize animated objects
Search animated objects
Classify content
Create separate content sections
Check tags

BigTable– a cloud infrastructure for scaling NoSQL for databases

BigQuery plays a major role in google cloud application development efforts. Businesses constantly collect more and more data, and that data needs to be stored properly, if you don’t have an ability to maintain your own cloud storage you can go for BigQuery and Big Data scaling capabilities along with:

Data aggregation. This procedure allows the preparation of the datasets compiled from databases for further processingl
Custom dates. You can customize the format of dates and distribute deadlines in intervals. This can be beneficially used for adjusting end-to-end analytics, creating automatically-updated reports, and forming cohort reports
Data strings customizations. You can form strings, delineate substrings, mark them, as well as calculate the length of strings, numerical orders, and substring indexes

Compute Engine– a cloud infrastructure that provides virtual machines

Google Compute Engine or GCE is another handy component of google cloud platform that is based on the global infrastructure where search systems and other services operate as well. It allows users to launch virtual machines when the need be based on standard samples and custom user samples.

Cloud Vision– a cloud infrastructure that enables stored data access

The Cloud Vision service is intended for analyzing images and certain data types with the help of the self-taught, scaling machine learning models. The platform features:

Detection of types of images & recognition of context
Text recognition
Detection of negative or restricted content
Recognition of faces, facial features, & separate facial elements
Definition of geolocation by photo
Definition of signs & symbols

Google Cloud will be your guaranteed push towards significant business growth and of course improvement. It ultimately helps to efficiently form databases, work with text and video content, analyze data, conduct calculations, and much more. Contact Crystal Logic to start boosting your business performance with the cloud capacities or migrate your existing software to the cloud for significant improvements. We will help you figure out all the underlying aspects and nuances.

BigTable– a cloud infrastructure for scaling NoSQL for databases

This tool based on the google cloud services platform is, essentially, a distributed system created especially for data storing and managing large massifs of structured data. This type of database has a combination of underlying Google services - Google file system, distributed blocking manager Chubby, SSTable, and others.

Kubernetes Engine– a system that helps to implement automated app deployment, management, and scaling

This element of google cloud services platform is a powerful system for managing and arranging various data containers into clusters for further automated data management. Its operation is fully dictated by the user-defined requirements.

The Kubernetes Engine services provide the following capabilities:

Work with Docker containers
The ability to scale apps based on the employed resources
Logging of info about the app performance
The ability to form hybrid networks
The ability to track accesses & identifications
The ability to form a confidential containers registry where private data samples can be stored & accessed

Google Genomics– a cloud-based genom analyzing tool

Genomics is employed by google cloud developers to enable specialists in the area of biomedical disciplines to efficiently process medical data. This cloud solution is very user-friendly and cost-efficient while providing the in-depth capabilities of genomic data analysis in cloud.

Cloud AutoML– a Machine Learning-based service that enables developers to build neural networks and manipulate ML principles with minimum related skills

Cloud AutoML is a software service that makes AI capabilities accessible to any user without too much corresponding knowledge or skill. With its help, even people that are far from being familiar with Machine Learning principles get to create an absolutely unique AI-based software model.

High level of preciseness
Fast model compilation (literally immediate)
An utterly accessible, intuitive interface

Cloud Datastore– a cloud-based database

This software service is a highly-scalable database that performs based on the Google Cloud Platform and can be managed end-to-end. In particular, it is based on underlying Google BigTable and Megastore. The system boosts one’s google cloud development efforts by enabling one to operate small-volume sets of closely- interconnected data that can be grouped and allocated to neighboring servers.

App Engine

Cloud Pub/Sub

Google Video Intelligence

BigQuery

Compute Engine

Cloud Vision

BigTable

Kubernetes Engine

Google Genomics

Cloud AutoML

Cloud Datastore

Google App Engine or GAE provides hosting for websites and web apps. There are qualified Google app engine developers that usually work with it. It provides a whole package of capabilities, including:

Journal management
Email newsletter
Scaling
Image editing
Cron-based tasking
Version management
Task sequencing;
Work with search requests
Performance analysis
Network content delivery

Employing Google app engine services you get to launch cloud apps based on one of the most advanced software infrastructures in the world. GAE is compatible with Java, Python, PHP, and Go

Data aggregation. This procedure allows the preparation of the datasets compiled from databases for further processing
Custom dates. You can customize the format of dates and distribute deadlines in intervals. This can be beneficially used for adjusting end-to-end analytics, creating automatically-updated reports, and forming cohort reports
Data strings customizations. You can form strings, delineate substrings, mark them, as well as calculate the length of strings, numerical orders, and substring indexes

High level of preciseness
Fast model compilation (literally immediate)
An utterly accessible, intuitive interface

All in all, Cloud Pub/Sub grants reliable message sharing with minimum delays, which helps developers integrate systems in and outside of Google Cloud Platform faster

The Kubernetes Engine services provide the following capabilities:

Work with Docker containers
The ability to scale apps based on the employed resources
Logging of info about the app performance
The ability to form hybrid networks
The ability to track accesses & identifications
The ability to form a confidential containers registry where private data samples can be stored & accessed

The system boosts one’s google cloud development efforts by enabling one to operate small-volume sets of closely-interconnected data that can be grouped and allocated to neighboring servers.

This service is used to help apps intelligently define video and text content by its subject matter. It can also be employed to transcribe the video files’ contents as well as to:

Register frame rate shifts
Recognize animated objects
Search animated objects
Classify content
Create separate content sections
Check tags

The Cloud Vision service is intended for analyzing images and certain data types with the help of the self-taught, scaling machine learning models. The platform features:

Detection of types of images & recognition of context
Text recognition
Detection of negative or restricted content
Recognition of faces, facial features, & separate facial elements
Definition of geolocation by photo
Definition of signs & symbols

Genomics is employed by google cloud developers to enable specialists in the area of biomedical disciplines to efficiently process medical data.

This cloud solution is very user-friendly and cost-efficient while providing the in-depth capabilities of genomic data analysis in cloud.

BenefitsBenefits

Google cloud services can boast the following advantages:

Discounts for continued services usage. If, for instance, you subsequently employ a growing number of virtual machines they will gradually reduce in price
By-minute charging. When you use a dedicated virtual machine you pay for the initial 10-minute period, after which the minute-by-minute rates come into effect, this allows the expenses to be dramatically reduced, there is no need to pay for total hours while the software was actually used during the duration of minutes
No need to employ numerous machines. Google cloud platform allows you to employ a moderate number of virtual machines that can handle high stress-loads as efficiently as bigger sets of lower-performance machines
Google cloud apps are priced in a unique way, you can reserve a virtual machine for 1 to 3 years and save significantly. This way,you don’t reserve the machine as it is but rather memory and processor resources. That way, if due to excessive stress-load a virtual machine needs to be customized or replaced you don’t have to sell it at a lower price.

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