Introduction to GCP:
Google Cloud Computing refers to a suite of cloud computing services offered by Google. It includes a wide range of services like computing, storage, data analytics, machine learning, and networking. Organizations leverage Google Cloud Platform (GCP) to build, test, and deploy applications efficiently and at scale.
Understanding the Core Components of GCP:
Compute Engine:
Provides virtual machines (VMs) that run on Google’s infrastructure.
Offers various machine types, wide-ranging configurations, and custom VMs tailored to specific needs.
Allows users to maintain and scale applications seamlessly.
App Engine:
A fully managed platform for building and deploying applications.
Supports several programming languages and allows for automatic scaling based on the app’s traffic.
Eliminates the need to manage underlying infrastructure.
Cloud Storage:
Delivers highly durable and scalable object storage for various forms of data.
Offers features like data encryption at rest, strong consistency, and fine-grained access controls.
Supports different classes of data storage to optimize costs.
BigQuery:
A fully managed, serverless data warehouse designed for massive-scale data analytics.
Enables users to run SQL queries on large datasets quickly.
Integrates with various data tools and services to enhance data analysis.
Cloud SQL:
Fully managed relational database service supporting MySQL, PostgreSQL, and SQL Server.
Provides automated backups, replication, and high availability.
Facilitates the easy migration of existing databases onto GCP.
Key Benefits of Using Google Cloud Computing:
Scalability:
Allows businesses to scale resources up or down based on demand effortlessly.
Unifies managed services to support variable workloads.
Security:
Implements multi-layered security measures to protect data and applications.
Offers compliance with numerous international standards and regulations.
Reliability:
Backed by Google’s robust infrastructure and data centers dispersed globally.
Provides high uptime guarantees and built-in disaster recovery options.
Cost Efficiency:
Utilizes a pay-as-you-go pricing model, ensuring users pay only for the resources consumed.
Provides sustained use discounts and committed use contracts for cost savings.
Google Cloud Computing is an extensive platform designed to cater to diverse business requirements. It integrates solutions designed to enhance performance, ensure security, and facilitate the seamless operation of cloud environments.
Key Features and Benefits of Google Cloud
Google Cloud offers a range of features and benefits to businesses and developers seeking reliable, scalable, and secure cloud solutions.
Key Features
Compute Engine: Provides scalable, high-performance virtual machines (VMs) that meet a wide range of computing needs.
App Engine: A fully managed platform to build and deploy applications in a serverless environment.
Kubernetes Engine: A managed Kubernetes service for deploying, managing, and scaling containerized applications.
Cloud Storage: Object storage with high availability and security for storing large amounts of unstructured data.
BigQuery: A fully managed, serverless data warehouse that allows for fast SQL queries using the power of Google’s infrastructure.
Cloud Functions: Event-driven serverless functions for creating lightweight, single-purpose services.
Identity and Access Management (IAM): Comprehensive controls for managing access and permissions across all operations.
Cloud Pub/Sub: A messaging service that facilitates event-driven systems and real-time analytics.
Cloud SQL: Managed relational databases like MySQL, PostgreSQL, and SQL Server that automate database management tasks.
AI and Machine Learning Tools: Advanced AI services including Vision AI, AutoML, and natural language processing (NLP) tools.
Benefits
Scalability: Easily scale resources up or down based on demand without compromising performance or security.
Cost Efficiency: Pay only for what is used with flexible pricing models, including sustained use discounts and committed use contracts.
Global Reach: Extensive infrastructure to deploy services anywhere around the globe with low latency and high reliability.
Security: Robust security measures including data encryption in transit and at rest, along with regular security updates and compliance certifications.
Integration: Seamless integration with other Google services such as Google Workspace, Google Ads, and Google Analytics.
Innovation: Access to cutting-edge technologies and regular updates that drive innovation and improve operational efficiency.
Developer-Friendly: Comprehensive support for various programming languages, extensive APIs, and a user-friendly interface for developers.
Support: A range of support options including documentation, community forums, and 24/7 customer support.
Google Cloud’s comprehensive suite of services, combined with its security, scalability, and cost benefits, makes it an attractive choice for businesses looking to leverage cloud computing.
Google Cloud Platform (GCP) Services Overview
Google Cloud Platform (GCP) provides a comprehensive suite of services that can address various computing needs ranging from infrastructure to machine learning. GCP offers flexibility, scalability, and accessibility through its diverse service offerings.
Key GCP Services
Compute Services
Compute Engine: Virtual machines that run on Google’s infrastructure.
App Engine: Platform-as-a-Service for building scalable web applications and mobile backends.
Kubernetes Engine: Managed Kubernetes service for deploying, managing, and scaling containerized applications.
Storage Services
Cloud Storage: Object storage service for storing and accessing data at any scale.
Persistent Disk: Durable, high-performance block storage for VM instances.
Cloud SQL: Managed relational database service for MySQL, PostgreSQL, and SQL Server.
Networking Services
Virtual Private Cloud (VPC): Isolated network resources with fine-grained control.
Cloud Load Balancing: Distributes incoming traffic across multiple instances for high availability.
Cloud CDN: Content delivery network service that accelerates content delivery globally.
Big Data Services
BigQuery: Fully-managed, serverless data warehouse for performing fast SQL queries.
Dataflow: Stream and batch data processing service.
Dataproc: Managed Apache Hadoop and Spark service for large-scale data processing.
AI and Machine Learning Services
AI Platform: Comprehensive service for building, deploying, and managing machine learning models.
Vision AI: Image analysis tool to derive insights from images.
Natural Language API: Tools for analyzing and understanding text.
Operation and Management Services
Cloud Deployment Manager: Infrastructure management service for deploying resources declaratively.
Cloud Console: Web-based interface for managing GCP resources.
Stackdriver: Suite of logging, monitoring, and diagnostics services for applications on cloud.
Security and Identity Services
Cloud Identity: Identity management for apps and devices.
IAM (Identity and Access Management): Fine-grained access control to resources.
Key Management Service: Managed service for creating and controlling encryption keys.
Additional GCP Features
Global Infrastructure: Access to a network of data centers across the globe.
SLA-backed Uptime: Service level agreements assure high availability.
Cost Management Tools: Tools and calculators to estimate and monitor expenses.
Hybrid and Multi-cloud Solutions: Flexibility to integrate with on-premises and other cloud environments.
Google Cloud Platform’s diverse and powerful services enable developers and businesses to build, deploy, and scale applications efficiently. Each service is designed to offer robust capabilities, making GCP a versatile choice for cloud computing needs.
Compute Services: Google Compute Engine and More
Google Cloud offers a variety of compute services designed to cater to various business needs. Foremost among these is Google Compute Engine (GCE), a robust service providing virtual machines (VMs) hosted on Google’s infrastructure.
Google Compute Engine (GCE)
Google Compute Engine is a core component of Google Cloud’s offerings, providing scalable, high-performance VMs that run on Google’s data centers. GCE offers several features:
Custom Machine Types: Users can create VMs with custom sizes and configurations to optimize for specific workloads.
Preemptible VMs: Cost-effective, short-term instances ideal for fault-tolerant workloads.
Sustained use Discounts: Automatic discounts for VMs running for a significant portion of the billing month.
Machine Learning (ML) Integration: Seamless integration with TensorFlow and other ML libraries for AI-driven applications.
Google Kubernetes Engine (GKE)
Google Kubernetes Engine is essential for managing containerized applications. Built on Kubernetes, it provides functionality such as:
Automated Operations: Reducing the need for manual management through automated repairs, upgrades, and scaling.
Security Built-In: Using Google’s security model to protect and secure workloads.
Integrated Developer Tools: Enabling developers to streamline the process of building, deploying, and scaling applications.
App Engine
Google App Engine is a Platform as a Service (PaaS) enabling developers to build and deploy applications effortlessly. Key benefits include:
Auto-scaling: Applications automatically scale based on the traffic they receive.
Fully managed: Abstracting away infrastructure concerns, allowing developers to focus on code.
Multiple Languages: Support for several programming languages including Python, Java, Node.js, and Go.
Cloud Functions
Google Cloud Functions provides a serverless execution environment for building and connecting cloud services. Notable features involve:
Event-driven Execution: Triggered by events, allowing for real-time, automated responses.
Zero Server Management: No need to provision or manage servers.
Pay-per-use: Billing based on resource consumption, offering cost-efficiency.
Cloud Run
Cloud Run is a serverless compute platform that automatically scales applications in response to traffic. Key aspects include:
Container-based Deployments: Running any containerized application without managing the infrastructure.
Stateless Container Execution: Ideal for microservices architectures.
Portability: Applications can be deployed on any platform that supports containers, including Kubernetes.
Each of these services within Google Cloud’s compute offerings provides unique capabilities advantages, catering to diverse and specific business requirements, promoting efficiency, scalability, and security in deployments.
Storage Solutions in Google Cloud
Google Cloud offers a variety of storage solutions designed to meet different business needs. These solutions are scalable, secure, and easily integrated with other Google Cloud services. Below are some of the primary storage solutions available:
Google Cloud Storage
Google Cloud Storage is an object storage service that allows users to store and retrieve any amount of data at any time. Key features include:
Durability: Data is redundantly stored across multiple locations.
Scalability: Supports scaling from bytes to petabytes of data with no upfront capacity provisioning.
Security: Provides robust security features, including encryption and identity management.
Persistent Disk
Persistent Disk provides reliable and high-performance block storage for Google Cloud Engine instances. Features include:
High Availability: Designed for data redundancy across different zones.
Performance: Offers both HDD and SSD options to meet different performance needs.
Snapshot Capability: Allows for easy backups via snapshots.
Cloud SQL
Cloud SQL is a fully-managed relational database service for MySQL, PostgreSQL, and SQL Server. It features:
Automatic Backups: Users can automate backups to ensure data integrity and availability.
Scalability: Automatically scales storage as needed.
Security: Data encryption in transit and at rest, and high availability configuration.
Firestore
Firestore is a NoSQL document database designed to support web, mobile, and server applications. Notable features are:
Real-time Updates: Immediately syncs changes across connected devices.
Offline Support: Allows clients to continue accessing data when offline.
Strong Consistency: Ensures data remains consistent across different instances.
Filestore
Filestore provides high-performance file storage for applications that require a file system interface and a shared file system. Features include:
Integration with Google Kubernetes Engine: Seamlessly integrates with GKE for container-based applications.
Scalability: Offers different service tiers to match performance and storage needs.
Reliability: Ensures data redundancy to protect against failures.
Bigtable
Bigtable is a high-throughput storage solution designed for analytical and operational workloads. It offers:
Low Latency: Capable of handling single-digit millisecond response times.
Scalable: Easily scales to accommodate large datasets.
Integration: Works with popular big data tools such as Hadoop, Dataflow, and Dataproc.
Archive Storage
Archive Storage is ideal for infrequent data access, providing a cost-effective solution for long-term storage. Its features include:
Cost Efficiency: Low-cost solution for storing large amounts of data.
Durability: High durability with multi-regional replication.
Ease of Access: Data retrieval times designed for occasional access, not regular access.
Google Cloud’s range of storage solutions ensures that businesses can find the right fit for their specific needs, offering flexibility, reliability, and security in managing data.
Networking and Content Delivery in Google Cloud
Networking and content delivery are crucial components of the Google Cloud ecosystem. Understanding these elements helps in optimizing the performance and reliability of cloud-based applications. Google Cloud offers an array of networking services that facilitate the building and managing of networks.
Virtual Private Cloud (VPC)
Google Cloud’s Virtual Private Cloud (VPC) provides a private network environment to create and manage scalable applications. It includes the following features:
Subnets: The ability to create multiple subnets within your VPC for segmenting network traffic.
Firewall Rules: Customizable firewall rules to control access to instances and improve security.
Route Tables: Route tables for directing network traffic within the VPC.
Peering: VPC peering enables direct network connectivity across VPCs for efficient resource sharing.
Cloud Load Balancing
Cloud Load Balancing distributes incoming traffic across multiple instances to ensure high availability and reliability of applications. It supports different types of load balancers, including:
HTTP(S) Load Balancing: Designed for web applications, distributing HTTP and HTTPS traffic.
TCP/SSL Load Balancing: Manages TCP and SSL traffic for applications requiring high-performance networking.
Internal Load Balancing: Provides load balancing for traffic within a VPC, ensuring fault tolerance for internal applications.
Cloud CDN
Cloud Content Delivery Network (CDN) accelerates web and video content delivery by caching content at edge locations around the globe. Benefits include:
Latency Reduction: By serving content from locations closer to users, response times are significantly reduced.
Scalability: Ensures that high traffic volumes can be managed without impacting performance.
Security: Offers protection against DDoS attacks and improved data privacy.
Cloud Interconnect
Cloud Interconnect facilitates private, high-bandwidth network connections between on-premises environments and Google Cloud. Key features are:
Dedicated Interconnect: Establishes direct fiber connections with Google Cloud for consistent and high-throughput connectivity.
Partner Interconnect: Partners provide connectivity options for enterprises that require lower costs and more flexible bandwidth.
Traffic Director
Traffic Director is Google Cloud’s managed service mesh that provides advanced traffic management capabilities. It supports:
Traffic Shaping: Controls the flow of traffic based on defined parameters.
Service Mesh: Offers observability, security, and network management for microservices.
Health Checks: Continuously monitors health and performance to ensure optimal routing.
Professionals leveraging these networking and content delivery services can enhance their cloud applications’ performance, security, and reliability. Google Cloud continually expands its offerings to meet evolving networking needs in the cloud computing landscape.
Google Cloud Databases and Data Analytics
Google Cloud provides a variety of databases and data analytics services to meet different business needs. These services help organizations manage, analyze, and leverage their data efficiently.
Databases:
Cloud SQL: A fully-managed relational database service for MySQL, PostgreSQL, and SQL Server. It automates backups, replication, patch management, and more.
Cloud Firestore: A flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud Platform. It supports real-time updates and offline capabilities.
Bigtable: A fully-managed, scalable NoSQL database service designed for large analytical and operational workloads. It is ideal for applications such as personalization, Internet of Things (IoT), and financial data analysis.
Spanner: This offers a horizontally scalable, strongly consistent, relational database service. With global distribution and transactional consistency, Spanner is perfect for mission-critical applications.
Firestore: A NoSQL document database that scales automatically, allowing for powerful querying and real-time data syncing.
Data Analytics:
BigQuery: A fully-managed, serverless data warehouse that enables super-fast SQL queries using the processing power of Google’s infrastructure. It is designed to handle large datasets and supports machine learning.
Dataflow: A unified stream and batch data processing service that helps in developing data analytics pipelines. It handles real-time computation and removes operational workloads.
Dataproc: A fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters. It allows for big data processing with rapid deployment.
Pub/Sub: Provides scalable, real-time messaging services. It enables event-driven computing and analytics, integrating between independent systems to send and receive messages.
Data Studio: A powerful data visualization tool for making information accessible via customizable dashboards and reports. It allows for easy sharing and collaboration.
Benefits of using Google Cloud’s database and analytics services include:
Scalability: Easily manage growing datasets with robust, scalable solutions.
Security: Protect data with Google’s full suite of security tools and practices.
Integration: Seamless integration with other Google Cloud services.
Performance: High-speed performance and low latency to ensure efficient data processing.
Management: Simplified database administration and automated infrastructure tasks.
Security and Identity Management in Google Cloud
Security and Identity Management in Google Cloud involves several advanced services and frameworks that ensure the protection of data and applications. An essential aspect of Google Cloud’s infrastructure, these services help organizations secure their cloud environments effectively.
Key Components
Identity and Access Management (IAM):
Provides granular access control and visibility for centrally managing cloud resources.
Allows organizations to define who (user) has what access (role) for which resource.
Encryption:
Data encryption at rest and in transit is a default feature.
Google Cloud Key Management Service (KMS) allows organizations to manage their encryption keys.
VPC Security:
Virtual Private Cloud (VPC) offers network security policies to control internal traffic.
Features like firewall rules, VPN, and Cloud Armor to protect against threats.
Security Command Center:
A centralized dashboard that provides real-time security insights.
Helps detect vulnerabilities, protect sensitive data, and ensure compliance.
Identity Management Features
Managed Service for Microsoft Active Directory:
Provides fully managed Microsoft Active Directory domains on Google Cloud.
Cloud Identity:
Manages users, apps, and devices from a single platform.
Enhances security with multi-factor authentication (MFA) and single sign-on (SSO).
Compliance and Governance
Compliance Certifications:
Google Cloud meets global compliance standards such as ISO 27001, SSAE 16, and PCI DSS.
Regular audits ensure continuous adherence to these standards.
Policy Management:
Organization Policy Service allows the enforcement of compliance requirements.
Provides policy constraints to manage resources based on organization needs.
Best Practices for Security
Least Privilege Principle:
Assign the minimal necessary permissions to reduce risk.
Regular Auditing and Monitoring:
Implement logging and monitoring tools like Google Cloud Audit Logs and Monitoring.
Regularly review logs and access reports for any suspicious activity.
Automated Security Response:
Utilize automation tools to respond swiftly to security incidents.
Integrate with Google Cloud’s Security Command Center for proactive threat management.
In conclusion, adopting robust security measures and identity management practices is vital for safeguarding cloud environments. Google Cloud’s comprehensive suite of tools and services ensures robust security, compliance, and efficient identity management.
Managing and Monitoring Google Cloud Resources
Managing and monitoring Google Cloud resources involve several tools and best practices to ensure optimal performance, security, and scalability. Here are the key aspects:
Cloud Resource Manager
Organizes Google Cloud resources hierarchically.
Creates and manages projects, folders, and organizations.
Applies policies and permissions across the resource hierarchy.
IAM (Identity and Access Management)
Controls who (users) can do what (roles) on which resources (projects).
Sets up fine-grained access controls.
Uses predefined roles, custom roles, and service accounts.
Google Cloud Console
A web-based interface for managing resources.
Provides interactive dashboards and visualizations.
Offers real-time insights and alerts.
Google Cloud CLI (Command Line Interface)
Manages resources through commands.
Automates tasks via scripts.
Supports gcloud, gsutil, and bq command-line tools.
Stackdriver Monitoring and Logging
Monitors performance and health of applications.
Logs, metrics, and traces for deep insights.
Custom dashboards, alerts, and reports.
Billing and Budgets
Tracks and analyzes Google Cloud expenditures.
Sets up budgets and alerts to control costs.
Uses cost recommendations for optimization.
Cloud Deployment Manager
Automates deployment of Google Cloud resources.
Templates infrastructure as code.
Enables repeatable and consistent deployments.
Security Command Center
Provides centralized visibility into security.
Detects and remediates vulnerabilities.
Monitors compliance and governance.
Cloud IAM Policy Troubleshooter
Diagnoses access issues on Google Cloud.
Simulates policies to understand permissions.
Audits and reviews access controls for compliance.
Cloud Operations Suite (formerly Stackdriver)
Centralized suite for observability and operations.
Tools for logging, monitoring, and tracing.
Integration with CI/CD pipelines.
Network Intelligence Center
Monitors and analyzes network health.
Visualizes traffic flow and performance telemetry.
Detects network anomalies and potential issues.
Best Practices
Regularly review and audit access controls.
Implement logging and monitoring for critical services.
Automate routine tasks using scripts and templates.
Establish budgets and monitor spending against forecasts.
Utilize dashboards for real-time visibility.
Managing and monitoring Google Cloud resources effectively ensures that applications run smoothly, securely, and cost-efficiently.
Best Practices for Using Google Cloud
To maximize the benefits of Google Cloud services, follow these best practices to ensure optimal performance, security, and cost efficiency:
Understand Core Services and Tools:
Familiarize with the primary Google Cloud Platform (GCP) services like Compute Engine, Cloud Storage, and BigQuery.
Use Google Cloud’s documentation and tutorials to get a comprehensive understanding of these tools.
Plan and Organize Resources:
Implement an organized resource hierarchy using projects, folders, and organizations.
Label resources effectively for easy management and billing tracking.
Optimize Resource Utilization:
Use autoscaling for compute resources to match demand automatically.
Implement regular audits to identify and clean up unused resources.
Follow Security Best Practices:
Use Identity and Access Management (IAM) to set granular access controls.
Enable and manage audit logs for transparency and compliance.
Always encrypt data at rest and in transit.
Monitor and Analyze Performance:
Set up Stackdriver for comprehensive monitoring, logging, and diagnostics across Google Cloud applications and infrastructure.
Use Cloud Trace and Cloud Profiler to identify and resolve performance bottlenecks.
Optimize Costs:
Use the Google Cloud Pricing Calculator to estimate costs and plan budgets.
Implement budget alerts to monitor spending and avoid unexpected expenses.
Explore committed use contracts and sustained use discounts to reduce costs.
Backup and Disaster Recovery:
Regularly backup critical data using Google Cloud services like Cloud Storage and Cloud SQL.
Plan and test disaster recovery strategies to ensure minimal downtime during incidents.
Leverage Managed Services:
Utilize Google Cloud’s managed services to reduce maintenance overhead, such as using Google Kubernetes Engine (GKE) for container orchestration.
Take advantage of fully managed databases like Cloud SQL and Firestore.
Stay Current with Updates:
Subscribe to Google Cloud news and updates to stay informed about new features and best practices.
Participate in community forums and attend Google Cloud events for insights and networking with other professionals.
Engage with Support and Community:
Leverage Google Cloud’s support plans and reach out for assistance when needed.
Collaborate with the Google Cloud community through Q&A forums, webinars, and user groups to share knowledge and solutions.
Implementing these best practices ensures robust, secure, and cost-effective use of Google Cloud services.
Common Use Cases and Industry Applications
Google Cloud Computing offers a wide range of services that can be applied across various industries. From scalable infrastructure to advanced analytics, businesses can leverage these tools to optimize operations and drive innovation.
Data Storage and Management
Organizations often use Google Cloud Storage for secure and scalable storage solutions. This service is ideal for maintaining large datasets, performing backups, and enabling disaster recovery.
Google BigQuery serves as a fully-managed data warehouse that lets companies run fast SQL queries on large datasets, making it useful for real-time analytics.
Machine Learning and AI
Google Cloud’s AI Platform helps businesses build, deploy, and scale machine learning models. Industries like healthcare use these capabilities to improve diagnostic accuracy and treatment recommendations.
Tools like AutoML allow companies to create custom machine learning models without deep knowledge of programming, particularly beneficial for retail and e-commerce in enhancing customer personalization.
Application Development and Hosting
Google App Engine enables developers to build highly scalable applications without worrying about infrastructure management. Commonly used in SaaS solutions, it helps streamline application deployment.
Kubernetes Engine is utilized for containerized applications, which is particularly beneficial for companies in tech and telecom who require robust microservices architecture.
Collaboration and Productivity
Google Workspace combines cloud-based productivity tools like Gmail, Docs, and Meet. This suite is essential for enhancing collaboration across remote teams in numerous sectors, including education and corporate environments.
Networking and Security
Businesses use Google Cloud VPC to manage virtual networks, ensuring secure and efficient data flow.
Cloud Armor and other security services provide DDoS protection and guard against threats, critical for financial institutions and e-commerce platforms.
Game Development
Game developers utilize Google Cloud for hosting gaming servers, enabling low-latency multiplayer experiences. Solutions like Agones and Game Servers facilitate game server management for a seamless gaming experience.
Big Data Analytics
Google Cloud Dataflow and Dataproc are instrumental in processing and analyzing large data streams. These tools are frequently used in logistics and supply chain management to optimize operations.
These examples illustrate the versatile nature of Google Cloud Computing and how it meets the diverse needs of various industries, enabling businesses to scale efficiently and innovate reliably.
Resources for Learning More and Staying Updated
Staying informed and continuously learning about Google Cloud Computing is essential for leveraging its full potential. Below is a curated list of resources to help users further their knowledge:
Official Documentation and Tutorials
Google Cloud Documentation: Comprehensive guides on services, APIs, and tools.
Google Cloud Training: Structured training programs and courses.
Google Cloud Tutorials: Hands-on tutorials for practical knowledge.
Online Learning Platforms
Coursera: Google Cloud specializations and certifications.
Udemy: Courses covering various topics within Google Cloud Computing.
A Cloud Guru: Focused training for cloud certifications.
Community and Forums
Google Cloud Community: Official forum for discussions and questions.
Stack Overflow: Popular platform for technical queries.
Reddit: Subreddits focusing on Google Cloud updates and discussions.
Blogs and News
Google Cloud Blog: Official blog for announcements and articles.
Medium: Articles from professionals and enthusiasts.
TechCrunch: News and updates on cloud computing technology.
Podcasts and Webinars
Google Cloud Platform Podcast: Discussions with experts and developers.
Cloud OnAir: Webinars on new features, products, and best practices.
Certification and Exams
Associate Cloud Engineer: For foundational skills in Google Cloud.
Professional Cloud Architect: Advanced examination for cloud architects.
Specialty Certifications: Various specialized certification tracks.
These resources provide valuable information and learning paths to enhance one’s knowledge and stay updated with the latest in Google Cloud Computing.
Digital Marketing Manager at Aware Group: Working his way through the world of technology and Thailand as best as he can. Happy to contribute to other tech publications.