Drive Innovation And Agility With A3logics' Google Cloud Platform Services
We help enterprises leverage Google Cloud Services such as Compute Engine, Kubernetes Engine, Cloud Storage, Bigtable, Spanner, Pub/Sub, Cloud Functions, and more based on their business needs. Our experts guide suitability and best practices for each service to maximize scalability, flexibility, and cost efficiencies.
A3logics specializes in Google Cloud Migration using tools like Cloud Endure Migration, Cloud Dedup, and Dynamic Platform Migration. We have successfully migrated thousands of workloads, including databases, ERP systems, messaging platforms, development stacks, and virtual desktops, to Google Cloud with zero downtime.
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Google Cloud Platform (GCP) is a suite of services from Google, including computing, storage, databases, networking, analytics, machine learning, and more to help you build, migrate and run your workloads in the cloud.
GCP supports computing resources like virtual machines, containers and serverless functions. Storage solutions span object, file, block and nearline options. Data services include analytics, data processing, streaming and ETL pipelines. There are also first-party services tightly integrated with other Google products such as AI, ML and Search.
While Google Cloud and AWS are popular cloud platforms, they differ in scope, features and approach. Google Cloud focuses primarily on AI, ML and analytics with tight partnerships with Google technologies.
AWS provides a more comprehensive set of services across computing, storage, networking, databases, security, analytics, machine learning and more for highly complex missions. Google Cloud is known for ease of use, integration and low total ownership costs. AWS has additional capabilities for scaled, customized deployments with on-demand pricing.
Google Cloud migration refers to moving workloads from on-premise data centres to the Google Cloud platform. Key benefits include scalability through easily adjusting resources up or down. Improved flexibility through rapid configuration changes of resources measured in minutes. Higher agility through streamlined release cycles, experimental features and faster iteration.
The ability to focus internal teams on key competencies rather than infrastructure management. Enhanced security through automatic updates, advanced features and Google's scale-preventing threats. Tight integration between Google Cloud and other Google services like AI, ML, data analytics and search & advertising optimization. Migrating all or part of an on-premise environment can help transform businesses through Google Cloud's capabilities.
Google Cloud is often considered easier to use than AWS for several reasons. Google Cloud has a simple, single console interface, intuitive services and features, low initial costs to get started, and close integration with other Google products.
The platform aims to minimize complexity so you can build quickly. AWS provides a broader set of sophisticated services and features, resulting in a steeper learning curve to achieve optimization. However, AWS may suit larger enterprises with more complex workloads requiring custom configurations, governance and management.
Google Cloud services are designed with security as a core principle. Google actively tests for vulnerabilities, monitors networks and systems 24/7/365, applies hundreds of security updates monthly and builds preventative controls at scale.
Google Cloud provides additional features like encrypted storage at rest, full disk encryption, identity-based proxy access, security key service, data loss prevention and compliance controls. While no platform is 100% immune to threats, Google's robust approach and resources help make Google Cloud a trusted choice for safeguarding your critical data and systems.
A Google Cloud consultant helps clients maximize the value of the Google Cloud Platform for their business. Consultants assess client environments and requirements, then provide recommendations and guide migrations to Google Cloud. They advise on the suitability and configuration of Google Cloud services like computing, storage, databases, networking and analytics based on needs.
Consultants can help set Cloud Enterprise strategy, optimize costs, strengthen security and compliance, and migrate select workloads or entire environments with zero downtime. They also offer managed and co-managed services for ongoing management and support.
A managed service refers to Google Cloud platform resources and services that Google manages. Managed services include:
● Google Kubernetes Engine (GKE): Manages the setup, scaling, upgrade, storage configuration and network part of your Kubernetes clusters.
● Google Cloud Dedicated Hosts: Dedicated physical servers hosted by Google in Google data centres. Google manages the hardware, networking and basic administrative tasks.
● Google Cloud Databases (SQL, Spanner, Bigtable): Fully managed non-relational and relational databases. Google handles the configuration, scaling, software patching, backup/restore and high availability.
● Google Cloud Load Balancing: Distributes network traffic across your instances. Google manages load balancers, backend services, health checks, SSL certificates and access control.
● Google Cloud Networking: Covers Virtual Private Clouds (VPCs), subnets, routes, network interfaces, gateway, peered networks and Network Load Balancers. Google administers the network to ensure availability, performance and disaster tolerance.