Google logo

Explore Google's Self-Guided Tours

Google and Carahsoft have partnered together to provide a series of self-guided tours of Google's products and features. Similar to a live demo, the self-guided tours explores how Google's products and features applies to a specific technology vertical such as MultiCloud.

 

Learn about Google's benefits, watch a short pre-recorded demo video, and download related resources. If interested in furthering the conversation, you can also schedule a live demo with a Google expert from Carahsoft. Start a Self-Guided Tour now by selecting one below: 

 

View All MultiCloud Tours
Google MultiCloud Self-Guided Tour  

Google MultiCloud Self-Guided Tour

Google Cloud offers a versatile solution for managing applications and data across various cloud environments, enabling agility and modernization. With Google Cloud, Government agencies can seamlessly build and enhance apps while leveraging the benefits of multicloud deployment. The platform ensures consistency and provides comprehensive data analysis regardless of where your deployments reside, offering a service-centric view across all environments. By integrating Google Cloud with Oracle Cloud Infrastructure (OCI), agencies can create a robust multicloud solution that capitalizes on the unique strengths of each platform. This cloud connection establishes a resilient multicloud Oracle environment and simplifies management complexity through a unified data protection strategy.


Want to learn more about Google?
Start a self-guided demo now to learn more about Google’s multicloud solutions and how they help agencies manage their cloud environment.
1 of 7

Google Cloud Platform

Google Cloud Platform (GCP) serves as a comprehensive cloud-based computing and data management solution, enabling organizations to centralize the management of Google Cloud services. Not only does it integrate many cloud services within the platform, GCP also serves to integrate other cloud services outside of Google’s infrastructure, such as AWS, Microsoft Azure, and Oracle Cloud. Many features and MultiCloud capable solutions are available with GCP, such as Anthos, Google Kubernetes Engine, Big Query Omni, Cloud Load Balancing, Cloud Interconnect, and Google Cloud APIs. All of these tools serve to assist users who need MultiCloud access when handling GKE clusters, workloads, and containers, as well as managing cloud resources, cloud networks, and traffic in the cloud.

Benefits:

  • GCP's tools like Anthos, Cloud Interconnect, and APIs make it a strong platform for building and managing hybrid cloud environments that span on-premises and multiple clouds.
  • With Google Cloud, organizations can cost-effectively, securely, and efficiently modernize their infrastructure to meet specific workload and industry needs. This includes support for AI, container-based applications, traditional enterprise workloads, and high-performance distributed workloads, all while reducing costs and environmental impact.
  • Benefit from Google's vast global network and data centero optimize application performance and reduce latency for users across the globe.
  • GCP's embrace of open-source and standards simplifies integration with other clouds and tools for multi-cloud workflows.
2 of 7

Google Cloud APIs

Google Cloud APIs provide a standardized way to interact with various Google Cloud services like Compute Engine (virtual machines), BigQuery (data analytics), and Cloud Storage. These APIs act as control interfaces, allowing users to manage resources and automate tasks without needing deep knowledge of each service's underlying infrastructure. This abstraction layer is particularly valuable in multi-cloud environments when working with diverse technologies.

Benefits:

  • Google Cloud APIs offer a consistent way to manage GCP resources alongside those from other clouds, simplifying multi-cloud operations.
  • APIs let users automate tasks like provisioning, scaling, and data transfers across clouds, saving time and reducing errors.
  • APIs, especially RESTful APIs, enable seamless integration among GCP services, external cloud offerings, and custom-built applications.
  • APIs provide building blocks for tailored multi-cloud solutions, like dashboards aggregating data from multiple sources or workload failover mechanisms.
3 of 7

Big Query Omni

BigQuery Omni is an extension of Google's BigQuery data warehouse that enables users to directly query data stored in other cloud platforms, specifically Amazon S3 and Azure Blob Storage. It works by creating a federated view across datasets, regardless of their physical location. This eliminates the need to move data into Google Cloud for analysis, streamlining workflows, and simplifying multi-cloud data management.

Benefits:

  • Analyze data across multiple clouds from within the familiar BigQuery interface, using standard SQL.
  • Query up-to-date data in other clouds without complex replication pipelines, leading to faster decision-making.
  • Analyze data where it naturally resides, minimizing the need to migrate for the sole purpose of using BigQuery's analytic power.
  • Potentially simplifies data governance and compliance efforts by maintaining data within its original region or jurisdiction.
4 of 7

Anthos

Anthos is Google's flagship platform for building and managing hybrid and multi-cloud applications based on Kubernetes. It provides a unified control plane for managing Kubernetes clusters across Google Cloud, on-premises data centers, and other cloud providers like AWS and Azure. Anthos aims to simplify containerized application deployment and management in complex multi-cloud environments.

Benefits:

  • Deploy and manage applications uniformly across clouds using the same tools and processes, reducing operational complexity.
  • Bridge the gap between on-premises infrastructure and cloud, enabling gradual modernization of legacy workloads.
  • Enforce consistent security policies and governance controls across the multi-cloud Kubernetes environment.
  • Leverage Anthos Config Management to handle configuration as code, streamlining deployments and updates across clouds.
5 of 7

Google Kubernetes Engine (GKE)

A reliable, and fully managed, Kubernetes service that is used for deploying and operating containerized applications at scale with Google’s underlying infrastructure. This tool is ideal for those who need a platform that provides customization abilities for configuring infrastructure to run containerized apps. Google handles the management of many underlying components as well, such as control planes and nodes, so users don’t have to manage those parts themselves. Within GKE, there are also built-in security measures, so users don’t have to worry about adhering to security compliance, or dealing with constant cyberthreats.

Benefits:

  • Delivers on demand, granular controls for Google’s highly available, and reliable apps and services, with automatic node upgrades to patch and improve cluster nodes. The control pane is also always patched and upgraded by Google.
  • Creates better cost optimization options and savings for organizations, as users can utilize GKE Autopilot, which dynamically adjusts compute resources and optimizes cost usage as well.
  • Includes multi-dimensional auto-scaling capabilities, which provides users with multiple means of automation to efficiently and easily operate applications.
6 of 7

Google Cloud Load Balancing

Google Cloud Load Balancing provides a suite of load balancing services that can distribute traffic across resources in GCP, on-premises environments, and even other cloud platforms. It supports global and regional load balancing to optimize traffic flows based on user location, resource health, and custom rules. This intelligent traffic management is crucial for building highly available and scalable multi-cloud applications.

Benefits:

  • Distribute traffic across instances in multiple clouds, ensuring application availability even if one cloud provider experiences issues.
  • Use health checks and intelligent routing algorithms to ensure users are always directed to the most suitable and available backend, regardless of cloud.
  • Potentially reduce costs by leveraging load balancing to optimize resource utilization across multiple cloud providers or hybrid environment.
  • Seamlessly balance traffic between on-premises and cloud resources, enabling phased cloud migration or bursting into the cloud during demand spikes.
7 of 7

Cloud Interconnect & Partner Interconnect

Cloud Interconnect provides dedicated, private network connections between your on-premises data center and Google Cloud Platform (GCP). This ensures reliable and low-latency connectivity for hybrid cloud scenarios. Partner Interconnect facilitates connection to GCP through a supported service provider. This option is useful when you don't have direct access to a Google Cloud location, expanding your connectivity options.

Benefits:

  • Dedicated connections offer superior performance and reliability compared to relying on the public internet for connecting clouds, especially for high-bandwidth workloads.
  • Private connections bypass the public internet, reducing security risks associated with data transmission.
  • A crucial building block for hybrid architectures, facilitating seamless communication between on-premises systems and GCP resources.
  • Cloud Interconnect/Partner Interconnect can help you extend your reach to other cloud providers for specific services or disaster recovery locations.

Google's Benefits Snapshot:

 

  • Uncover new insights and break down silos across clouds.
  • Accelerate application delivery with best-in-class managed Kubernetes and serverless platform.
  • Leverage flexible, open technology to maximize choice and increase IT investments’ longevity.