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 & Geospatial.
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:
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.
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.
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.
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.
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.
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.
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.
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.
Solve common geospatial use cases at scale with Google Maps' advanced AI and analytics. These tools improve constituent experiences and productivity with AI-powered contact centers, reducing costs and freeing up human agents for more complex tasks. BigQuery offers a cost-effective, serverless data warehouse that functions across clouds, while Translation Hub facilitates content translation into 135 languages with an intuitive interface. By decreasing manual labor, Government agencies can expedite critical service delivery.
Enhanced analytics and AI help optimize operations and resource efficiency, meeting constituent needs effectively. Solutions like GDC Hosted provide secure cloud environments for sensitive data, and Anthos supports the scalable deployment of modern applications. With robust API management and modern security measures, agencies can protect critical systems and data. Additionally, Google Cloud enables cloud migration, research breakthroughs and improved communication and collaboration, ensuring business continuity and heightened security against threats.
Google Maps Platform provides government entities with access to mapping and geospatial data services, enabling them to make informed decisions, optimize resource allocation, and enhance public services. Google Maps offers features such as customizable maps, geocoding, routing, and spatial analysis tools, allowing government agencies to visualize data, analyze trends, and communicate information effectively. Google Maps extensively uses artificial intelligence (AI) to enhance user experience and provide accurate, real-time information and includes advanced security and compliance features to ensure data privacy. Overall, Google Maps empowers government agencies to leverage geospatial technology to improve operational efficiency, deliver better services to citizens, and address various challenges related to urban planning, emergency response, transportation, and more.
Google Maps Platform offers a suite of robust APIs that allow developers to integrate Maps, Routes, Places, and other functionalities directly into their applications. This category of APIs includes Aerial View, Elevation, Street View Imagery, Static Maps, as well as Maps Tiles. These APIs are built to better visualize geolocation data in a variety of ways to further modernize the approaches to digital mapping. For example, the Street View Imagery API provides panoramic, 360 degree views of certain geo-locations that are included in its coverage area. With this API, government organizations can quickly discover issues within their city or town’s infrastructure that need to be addressed, such as potholes or cracked sidewalks.
Provide pre-built libraries and tools specifically for Android and iOS development, facilitating the integration of Google Maps features into mobile apps. Maps SDKs allow for customization of Google Maps and offer features for interactive and personalized mapping as well.
The Places API itself is a rich database of places, businesses, and points of interest, along with detailed information like addresses, photos, reviews, and opening hours. It provides powerful search and filtering capabilities and is widely utilized by numerous applications, including Google Search and Yelp. Places APIs give developers the power to search and retrieve detailed information about various sites and get precise directions between locations. Other APIs in this category include Geocoding, Geolocation, Address Validation, and Time Zones, which all assist with discovering and understanding more precise location data.
Route’s API offers optimized planning across various modes - driving, cycling, walking, and public transit. The Routes API includes Roads, Directions, and Distance Matrix APIs, which analyze real-time traffic, road conditions, and user preferences. Routes API empowers agencies to make data-driven decisions for optimizing public transportation routes, reducing travel times, and improving accessibility for residents.
Environment APIs provide access to a wide range of data including air quality, weather, solar, and climate data. The Environment API empowers developers to access environmental data they can incorporate into their applications. The Solar API, Air Quality API, and Pollen APIs were released in 2023 to assist organizations with creating solutions to meet their sustainable and environmental goals.
Google Earth Engine is a cloud-based geospatial processing platform that enables large-scale data analysis and visualization. It empowers public sector customers with access to a massive catalog of satellite imagery and geospatial datasets, along with the computational power to analyze and derive insights from this data. This empowers public sector organizations, agencies, and research institutions to tackle critical challenges in areas like environmental monitoring, disaster response, and urban planning.
Google Earth Engine hosts petabytes of satellite imagery, including historical imagery going back decades, updated daily with high-resolution data. This data is invaluable for monitoring deforestation, tracking urban growth, and assessing the impact of climate change. Public sector agencies can leverage this data to make informed decisions about land management, resource allocation, and conservation efforts.
Google Earth Engine's cloud-based infrastructure allows for the analysis of massive datasets across vast geographical areas. This capability is crucial for monitoring large-scale phenomena like drought, wildfires, and floods. By providing timely and accurate information, Earth Engine enables public sector agencies to respond effectively to natural disasters and mitigate their impact on communities.
Google Earth Engine enables the analysis of changes over time by providing access to historical imagery and data. This capability is essential for understanding trends in land use, deforestation rates, and the impact of environmental policies. Public sector agencies can use this information to track progress towards sustainability goals and identify areas where interventions are needed.
Google Earth Engine is accessible through a web-based interface and APIs, making it easy for users with varying levels of technical expertise to access and analyze data. This accessibility empowers public sector agencies to leverage the platform's capabilities without requiring extensive investments in software or hardware.
Google Earth Engine allows users to develop custom algorithms and applications tailored to their specific needs. This flexibility enables public sector agencies to create solutions that address unique challenges in their regions and jurisdictions. Whether it's monitoring air quality, tracking wildlife populations, or managing water resources, Earth Engine provides the tools to develop targeted solutions.
Google Maps streamlines navigation and access to Government services, enhancing the citizen experience.
Google Maps’ use of Gen AI optimizes route planning, reduces travel costs and automates tasks, boosting productivity and efficiency.
Google Maps’ analytics and AI capabilities uncover insights into citizen behavior, traffic patterns and service usage, empowering informed decision-making for better resource allocation.