Google Cloud Platform Integration ConsultingGoogle Cloud Platform (GCP) is a leading set of cloud services that offers Infrastructure-as-a-Service and Platform-as-a-Service products. Google Cloud's share of the public cloud market trails only Amazon Web Services (AWS) and Microsoft Azure. Like these competitors, GCP uses the same extensive infrastructure that hosts its most popular online applications. In Google's case, these include Google Search and YouTube. The Google cloud portfolio contains over 100 products that cover compute, data storage, database management, networking, analytics, Big Data, machine learning (ML), artificial intelligence (AI), identity, security, IoT, and centralized tools.

Google Cloud Platform Integration

Google Cloud uses the same massive infrastructure as Google Search and YouTube

Progent has experience helping organizations from small offices to enterprises to plan, deploy, test, manage, and maintain IT ecosystems that use various network architectures such as on-prem data centers, private clouds, one or more public clouds, or a hybrid mix of onsite and cloud-based resources. Progent offers fast remote or onsite access to top-tier consultants to assist you to evaluate the advantages and limitations of different network models and compare the feature set and cost of Google Cloud Platform vs. other cloud vendors.

Progent's certified Microsoft, Linux, and Cisco consultants can help your organization to expand your existing network resources with the Google Cloud Platform, and Progent's database consultants can help make your key applications cloud ready so they can benefit fully from Google Cloud products and services. Progent can assist you to deploy VMs on Google Cloud Compute Engine, design a cost-effective storage system with Google Cloud Storage services, and simplify identity management with Google Cloud Identity. Progent can also help you to utilize GCP's unified tools to manage and monitor your Google Cloud ecosystem so it continually provides maximum return on investment.

Major Services Offered for the Google Cloud
Google Cloud has more than 100 Infrastructure-as-a-Service and Platform-as-a-Service services addressing virtually all areas of IT including processing, storage, database management, networking, administration, security, web, mobile computing, and application development. GCP services are offered by subscription. Like other public cloud services, you are charged for the resources you use. Popular Google Cloud services for which Progent can provide expert consulting and technical support include:

Google Compute Engine ConsultingCompute Engine is a service for running Windows and Linux VMs in the cloud, similar to Amazon EC2 or Microsoft Azure Virtual Machines. Compute Engine VMs have seamless access to Google Cloud block storage and advanced infrastructure. Google Cloud offers three basic types of virtual machines in your choice of pre-defined or custom sizes. Google Cloud's N2 type VM is value priced and designed for general-purpose applications such as web hosting, business applications, and databases. The C2 type VM provides up to 60 virtual CPUs for compute-intensive applications like ECAD and simulations. Google Cloud's M2 class virtual machine includes as much as 11.5 TB of memory for memory-intensive apps such as in-memory databases or time-critical analytics. GCP's sole-tenant node option provides a physical Compute Engine machine dedicated to your exclusive use.

Important features of the Google Compute Engine include live virtual machine migration, which lets you keep VMs productive even while undergoing system maintenance, and preemptible VMs, low-priced virtual machine compute instances which last for a max of 24 hours and are designed for executing batch operations that can be paused and resumed intermittently without impacting operations.

Additional available features for Google Compute Engine include:

  • Always-encrypted local solid-state drive block storage for high performance and data security
  • GPU accelerators that can be included with virtual machine instances for CPU-intense apps like machine learning (ML) and 3D visualizations
  • Global load balancing for optimizing performance and uptime at low cost
  • Google Kubernetes Engine for managing containers on Compute Engine VMs
Pricing for GCP Compute Engine services is calculated by per-second usage according to VM instances and classes, disks and images, network activity, sole-tenant nodes, GPUs, plus other selected resources and use.

GCP Cloud Storage ConsultantsGoogle Cloud Storage is object storage that can scale to exabytes of data. Objects placed in Google Cloud Cloud Storage are logically organized in containers known as buckets. Google Cloud provides four classes of cloud storage, differentiated and priced according to the object's anticipated longevity and its hot/cold ratio. As you progress along Google's storage classes from Standard to Archive storage, access expense increase, at-rest expense decrease, and required minimum storage duration goes up. Google Cloud's storage classes make it possible to manage costs by designing the optimal price/performance balance for your network, and GCP's Object Life Cycle Management feature allows you to program the progression of storage objects from high-access to low-access classes over time. All types share global accessibility, unlimited storage (but a size limit of 5 TB for individual objects, no minimum size, low latency, on-request geo-redundancy, and a common suite of security and management utilities. One API works with all Google Cloud Storage types.

Standard Storage is the default class and is intended for so-called "hot" storage used often or stored only briefly. There is no minimum storage time. To get the highest speed and least network usage charges, Standard Storage objects should be kept in the same geographical location as the virtual machine instances or the container clusters that interact with the objects. Standard Storage delivers the highest average uptime for regions, dual-regions, and multi-regions. Nearline Storage is a low-priced storage option intended for objects accessed infrequently, preferably no more than once per month. Examples of suitable use cases are monthly backup and archiving. At-rest costs are less than with Google Cloud's Standard Storage, but access costs more, availability is slightly less, and duration is at least one month.

Coldline Storage offers very low storage costs for at-rest data and is intended for scenarios where data are accessed less than once every 90 days Minimum storage duration is three months, availability is marginally lower than with Google Cloud's Standard and Nearline Storage types, and access pricing is relatively high. GCP's Archive Storage, which features the least at-rest storage costs but has a minimum duration of one year, is the preferred storage class for data kept only for backup or archive purposes. Access costs for Archive Storage are the highest of any GCP storage class.

Cloud Storage Encryption
Google Cloud Storage always encrypts stored data on the server side before writing it to disk. Added to this standard encryption, you can select other ways to encrypt your data. Google Cloud offers two supplemental server-side encryption options that allow data to be encrypted after making it to Google Cloud Storage but before the data is stored to disk. The Customer-supplied encryption keys allows you to supply and control your own encryption keys. The Customer-managed encryption keys alternative enables you to create and control your encryption keys using Google's Cloud Key Management Service. Both these server-side encryption services provide an extra level of encryption above GCP's standard Cloud Storage encryption service.

In case you perform client-side encryption before transporting your data to Google Cloud Storage, your pre-encrypted data will also undergo server-side encryption.

Google Cloud Identity and Access Management (IAM) ConsultingGoogle Cloud Identity and Access Management (IAM) is Google's unified system for controlling access to network resources and granting authority for users and services to use resources for a specified period of time. Examples of GCP resources are Compute Engine instances and Cloud Storage buckets. Centralized and consistent tools give admins control over access rights for all services available within the Google Cloud Platform. Google Cloud Identity and Access Management features high precision in creating policies to grant groups and users permissions to use task-relevant resources while blocking access to non-essential resources.

With Google Cloud Identity and Access Management, policies are made up of roles; roles are composed of permissions; and permissions are associated with resources. Users or groups are assigned to policies, and through the policy they gain access rights to the specific resources their roles give them. As an example of Cloud IAM's role granularity, the Google Cloud Pub/Sub service can be accessed under a range of usage right depending on whether a user or group has been assigned the role of Owner, Editor, Viewer, Publisher, or Subscriber.

Cloud Identity and Access Management policies are hierarchy-based, cascading downward from the organization to projects and then to resources. You can establish organization-wide policies, tune them as appropriate for a given project, and refine them further for a given resource. You can assign policies to individual resources, to a project, or at the top organizational level. Policies you assign to an organization cascade down to projects in the organization and then to resources in those projects.

Cloud Identity and Access Management Experts

Cloud IAM's policy hierarchy allows flexibility for allowing or restricting access to cloud resources

Additional refinement in controlling resource access rights is offered by allowing administrators to factor in context like endpoint security status, IP address, resource type, and date/time. You can manage access rights via the GUI interface of the web-based Cloud Console tool, via automation by using Cloud IAM methods, or through the gcloud command-line tool. Google Cloud IAM automatically maintains a full audit trail to facilitate compliance.

Google Cloud Identity and Access Management is included without additional cost to all GCP licensees.

Google Kubernetes Engine ConsultantsGoogle Kubernetes Engine (GKE is a container service for running containerized apps. Kubernetes was initially developed by Google to automate Docker container orchestration and was made available as open source in 2014. Since then Kubernetes has grown to be the most popular platform for managing containerized applications.

Google Kubernetes Engine (GKE) is powered by Google's Container-Optimized OS and runs Certified Kubernetes, ensuring workload compatibility with other Kubernetes products spanning cloud and local networks. To accelerate development, prebuilt open-source deployment templates for enterprise-grade applications are offered on Google Cloud Marketplace.

The Migrate for Anthos service, offered for free with GKE, allows you to move and port your workloads directly from your existing infrastructure into GKE containers. These workloads can include physical servers and virtual machines situated onsite, in Google's Compute Engine, or in third-party clouds. GKE supports pod and cluster autoscaling for continuous analysis of the processor and RAM usage of pods and for automatically tuning processor and memory requests across node pools.

Additional capabilities of GKE include preemptible VMs, persistent storage, always-encrypted local solid-state drive block storage, global load balancing to maximize speed and availability, support for both Windows and Linux nodes, the ability to run stateless serverless containers via the Google Cloud Run service, and usage metering for granular visibility into Kubernetes clusters.

Google Kubernetes Engine is compliant with HIPAA and PCI DSS 3.1. For enhanced security, GKE Sandbox provides an extra level of defense between containerized Google Kubernetes Engine workloads. GKE clusters provide integrated support for Kubernetes Network Policy to filter traffic via pod-level firewall policies. Private clusters in Google Kubernetes Engine can be limited to a private or public device with access limited to distinct address ranges.

Google Kubernetes Engine is priced based on each Google Compute Engine instance in a cluster. Usage of GCP Compute Engine resources is billed by the second with a one-minute minimum usage charge.

Google AI Building Blocks ExpertsCloud AI Building Blocks allow software developers, even without machine learning (ML) backgrounds, to incorporate Google's leading-edge AI technology into their applications. Core services cover sight, language, and conversation. By using APIs, you can take advantage of Google's pre-trained models and avoid having to deal with creating your own datasets and training and testing your own models. As Google's library of pre-trained models expands, you can quickly add state-of-the-art AI technology to your applications. In addition, Google Cloud AutoML products give you the utilities required to train, validate and deploy your own domain-specific machine learning models. Developers can use any Google AI Building Block by itself or in any combination with other AI tools depending on your requirements.

Google GCP Cloud AI Building Blocks Experts

Google Cloud AI Building Blocks add vision, language, and conversation technology to your apps

For AI-enhanced imaging, Google Cloud AI Building Blocks include the AutoML Vision and Vision API services that allow you to extract useful intelligence from image libraries. Both services include REST and RPC APIs and enable your app to detect objects and their position inside an image. AutoML Vision simplifies training for your home-grown machine learning (ML) models by providing an easy-to-use graphical interface. After you optimize your models for accuracy, latency and size, you can send them to the Google Cloud or to a variety of edge devices.

Google Cloud's Vision API offers programmatic access to Google's out-of-the-box models. You can quickly classify images via Google's extensive libraries of predefined labels. Vision API uses OCR tools to detect text, in more than 50 languages, contained within images. Used in conjunction with Google's Document Understanding AI technology, you can use the same ML technology that powers Google Search to derive useful information from masses of unstructured documents. You can detect web objects and pages, isolate a face from other objects and detect facial attributes, and recognize product logos and popular landmarks. You can also recognize mature or violent content within images.

Google GCP's AutoML Video Intelligence and Video Intelligence API services, which offer a similarly wide range of features as Google's Vision services, make it simpler to extract information from video files.

Language Services
Language is Google's strong suit, and Google's stack of AI Building Blocks predictably includes a potent suite of services. Google GCP language products include:

  • Cloud Translation API
    This service enables developers to enrich web sites and programs with real-time language translation capability based on Google's neural translation technology. Google Cloud offers a Basic and an Advanced release of Google's Translation API. Both options are based on Google's pre-trained, general-purpose model and offer automatic language detection, a REST API, transparent HTML support, and the ability to translate between more than 100 language pairs. The Advanced version of Cloud Translation API includes a customizable glossary to preserve your branding in translated copy, batch translation capability in Google Cloud Storage, the ability to use custom AutoML Translation models, and a built-in gRPC open source API. The Cloud Translation service is priced per character.
  • AutoML Translation
    This machine learning platform allows you to build a custom translation model by training it using your own prepared dataset. The dataset is made of matching pairs of sentences in the original and target languages. AutoML Translation applies statistical analysis to the items from your dataset to train the model, tests it, and scores its accuracy. After you review the results of your model, you can tune your dataset and train a new model repeatedly until you are happy with the results. You can build custom translation models in more than 50 language pairs. Costs for using AutoML Translation are calculated based on the hours of training used and the number of characters you submit for translation.
  • Cloud Natural Language API
    GCP's Natural Language API uses a library of standard ML models to help you to understand the themes and structure of documents. A content classification model discerns content categories in a document, like architecture, finance, or sports; an entity analysis model finds and labels common known entities referred to within the document, such as product, company, or public figure); a sentiment analysis model assesses the author's positive or negative attitude suggested by the document and the magnitude of emotion; an entity sentiment analysis model integrates entity and sentiment analysis by identifying familiar entities within a document and determining the attitude and the magnitude of feeling expressed towards those entities; a syntactic analysis model exposes structural information by deconstructing text into sentences and tokens (words), which are further parsed into parts of speech and roots. Each API identifies the language of the text being analyzed if it is not declared. The's Natural Language API is a REST API and uses JSON requests and responses. Text to be analyzed can be embedded in the request or resident in Google Cloud Storage.
  • AutoML Natural Language
    Google Cloud's AutoML Natural Language service allows you to create and tune custom Natural Language models for classification, entity extraction, and sentiment analysis. For example, a custom sentiment analysis model designed by an airline could learn that a reference to misplaced baggage in a tweet counts as a negative rather than positive sentiment. Google's AutoML Natural Language product makes it easy to create your own dataset, use the dataset to train a model, validate the model, and tweak the dataset until your model is suitable for production.
  • Dialogflow
    GCP's Dialogflow is a a development suite that uses the natural language understanding technology that powers Google Assistant to help you to create a conversational interface so your product or service can interact with your users by voice. You can add this capability to a smartphone app, website, voice response system, or any other application that could be improved with natural voice interaction. Google Cloud's Dialogflow service can understand text or audio inputs and can respond via text or synthetic speech. Dialogflow can detect a user's intent and extract pre-defined entities such as time, date, and numbers. You can train your Dialogflow agent to recognize your own entity types by providing small sample datasets, or you can utilize over 40 out-of-the-box agents as templates. Commercial versions of Dialogflow are priced based on audio/phone time and the number of characters and queries.
  • Cloud Text-to-Speech
    GCP's Text-to-Speech API converts text or Speech Synthesis Markup Language (SSML) to high-quality, natural-seeming speech in more than 30 languages and over 180 voices. Cloud Text-to-Speech platform supports any application or device capable of sending REST or gRPC requests. Devices can be phones, PCs, tablets, and IoT devices like autos, televisions, and speakers. Accepted audio coding formats include mp3, Linear16, and Ogg Opus. You can use Speech Synthesis Markup Language tags in order to add pauses, numbers, date and time formatting, etc. Cloud Text-to-Speech is billed per million characters of text processed.
  • Speech-to-Text
    Google's Speech-to-Text API provides access to advanced automatic speech recognition (ASR) technology based on Google's continually refined deep-learning neural network technology. Google's Speech-to-Text can translate streaming audio in real time and can be optimized to handle standard sampling rates associated with phones, video, or voice commands/search. The API works with 120 languages and can identify what language is being used from a list of up to four. You can identify a maximum of 5,000 words or phrases that pertain to your business, like product or stakeholder names. Google's technology can automatically capitalize names and places and convert spoken numbers into addresses, dates, phone numbers, and currencies. Video transcription includes punctuation, and the speaker diarization feature can distinguish among several speakers in a group. Noise cancellation is included, and for some languages you have the ability to filter out offensive expressions. Supported encodings include FLAC, AMR, PCMU, and Linear-16. Billing is time based.
How Progent Can Help You with Google Cloud Integration
If you plan to integrate your network with Google Cloud, whether to build a cloud-centric system or as a hybrid local/cloud solution, Progent can assist you to assess the benefits of GCP compared to other public clouds or to other network architectures. Progent can help you with any stage of a migration to Google Cloud including requirements analysis, system design, testing, implementation, centralized management, performance optimization, license management, disaster recovery preparedness, and cybersecurity validation.

Progent can help your organization to decide which of your applications are suited for GCP and can help you make your legacy applications cloud ready. Progent has experience helping clients evaluate migrating to Google Cloud SQL, using Google Dataproc for on-prem Hadoop, adopting Google Cloud Kubernetes Engine as a virtualization replacement, and deploying MongoDB Atlas on Google Cloud vs. local MongoDB. Progent can deliver as-needed online consulting support for small jobs to help you quickly overcome stubborn technical hurdles or Progent can provide comprehensive project management outsourcing services to make sure your GCP integration program is completed on time and within budget.

Among the most frequently encountered technical problems businesses face when integrating with GCP or other public cloud platform is reconfiguring firewalls and VPN connections to provide users with easy but protected access to cloud services. Progent offers the services of Cisco-certified CCIE network consultants and firewall specialists for security appliances from major vendors like Cisco, Palo Alto Networks, Check Point, WatchGuard, and Fortinet to help you to configure or troubleshoot firewalls for connecting to GCP. To support mobile computing, Progent's iPhone and iPad technology consultants and Google Android integration consultants can help you to configure and manage protected mobile endpoints for your GCP users. Progent can work in conjunction with your internal technical team and Google's support engineers to mitigate GCP connectivity problems quickly and affordably.

Examples of remote consulting services offered by Progent to help organizations expand their networks with Google Cloud Platform include:

  • Review hybrid system plan for Google Compute Engine VMs and GCP Cloud Storage
  • Build and verify VM images for Windows or Linux
  • Configure, deploy and troubleshoot VPN tunnels for connectivity with GCP
  • Plan integration solutions for firewalls from Cisco, Palo Alto Networks, Barracuda, WatchGuard, and Fortinet and others
  • Configure and troubleshoot mobile endpoints
  • Define and implement policies based on best practices
  • Resolve IP addressing problems
  • Define cost-managed allocation of Google Cloud Storage
  • Optimize query performance on Google Cloud SQL
  • Automate software license management
  • Fix certificate issues
Other Cloud Integration Services Available from Progent
An expanding mass of public cloud products and services compete with or work together with GCP. For a variety of motives, many enterprises deploy a network architecture that includes multiple public cloud platforms along with local or private cloud IT assets. Progent can help you to evaluate the relative benefits of major public cloud service suites and can assist you to plan, deploy and maintain network environments that include an assortment of public and private clouds and local data centers.

Additional public clouds supported by Progent include:

Azure Integration ConsultantsProgent's Azure planning and integration consultants can assist you with any phase of Microsoft Azure integration including needs analysis, readiness evaluation, system architecture, pre-production testing, deployment, automated management, performance optimization, license management, disaster recovery preparedness, security policy enforcement, and compliance assessment. Progent can assist you to configure and troubleshoot firewall appliances and VPN connections so that your clients can securely access to Azure-based services, and Progent's Microsoft-certified consulting experts can assist you set up critical Microsoft technologies to run in the cloud including Windows Server, Exchange Server, SQL and SharePoint. Progent can also assist you to set up a hybrid environment that seamlessly integrates physical datacenters with Azure services.

Microsoft 365 Integration with On-premises ExchangeMicrosoft supports seamless hybrid environments that integrate Microsoft 365 and on-premises installations of Exchange. This permits you to have certain Exchange mailboxes located on your on-premises datacenter or private cloud and other mailboxes hosted by Microsoft 365. Progent's certified Exchange consulting team can help your organization with any facet of designing, implementing and troubleshooting your hybrid Microsoft 365/Exchange network. Progent's Exchange specialists can provide as-needed support to help you through stubborn technical problems and also offer comprehensive project management outsourcing to make sure your hybrid Microsoft 365/Exchange initiative is carried out on time and on budget. To learn more about Progent's online consulting support for hybrid Microsoft 365 Exchange and on-prem Exchange environments, go to Exchange Online integration solutions with on-prem Exchange.

Microsoft 365 Integration ExpertsProgent's Microsoft Office and Microsoft 365 consultants can assist businesses to integrate Office desktop and Microsoft 365 applications such as Office Excel, Office Word, PowerPoint, Outlook, Microsoft Access, Project and Publisher into a cohesive solution that provides fast return on investment and enables improved business results. Progent can assist you to interface Microsoft Office or Microsoft 365 apps with one another and with additional core Microsoft technologies such as SharePoint Server, Exchange Server and Microsoft SQL Server running on-premises or in the cloud. Progent's consultants can also assist you to fix compatibility problems with various releases of Office desktop and offers live online Microsoft Office and Microsoft 365 instruction to individuals and groups.

Amazon AWS Integration ExpertsProgent's Amazon AWS cloud integration experts offer cost-effective online support to help companies of any size to access Amazon AWS cloud services including Amazon EC2 for virtual server hosting, Amazon Simple Storage Service (Amazon S3) for expandable cloud storage, and Glacier for low-cost archival storage. Progent can assist you with every aspect of Amazon AWS migration and troubleshooting including requirements analysis, readiness assessment, system design and review, pilot testing, deployment, centralized administration, performance optimization, licensing management, backup/restore mechanisms, and security and compliance. Progent offers advanced expertise with firewalls and VPN connections and can help you create cloud-based or hybrid ecosystems that seamlessly incorporate Amazon AWS cloud services. Progent offers as-needed expertise or Progent can provide comprehensive project management outsourcing to help you move smoothly to the Amazon AWS platform.

Amazon MWS Software Development ExpertsAmazon Marketplace Web Service is a library of APIs that enables Amazon sellers to streamline their business processes by automating key sales activities such as listings, orders, shipments, fulfillment, and finances. By tapping into Amazon's vast online ecosystem and automating their sales, vendors can broaden their reach, lower their operating costs, accelerate response time to customers, and increase their bottom line. Progent's Amazon Marketplace Web Service developers can collaborate with your development team and provide application programming, workflow integration, project management support, and mentoring so you can shorten development time and costs and get to market quickly.

Contact Progent for Google Cloud Platform Integration Consulting
If you need assistance with any facet of integrating your network with Google Cloud Platform or other public cloud service, call Progent at 800-993-9400 or visit Contact Progent.

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