To ensure the implementation of the GCP environment, i.e., the Google Cloud “Foundation,” Deda Tech performs the activities you need to achieve a secure, governed, scalable, and application-ready cloud environment.
The main activities are:
– Initial planning and design: Goal definition, requirements, and architectural design for a solid cloud foundation;
– GCP Organization and Project Creation: Definition and configuration of organization and projects in Google Cloud environment with domain authorization;
– GCP Organization Configuration: Hierarchical structuring of resources and centralized management of access (IAM) and billing (Billing);
– Networking: High reliability (2xVPN) cloud network design and deployment, configuration of secure and reliable connections between the GCP environment and the company’s
on-premise infrastructure, and perimeter security;
– Security and Compliance: Defining security policies, data protection, key management and logging for regulatory compliance.
– Connectivity management: verification and monitoring of core network equipment.

Predicted Google Cloud Platform services include:

Vertex AI – Unified platform for machine learning and generative AI models.
Compute Engine – Virtual machines (VMs) running in Google’s data centers.
Google Kubernetes Engine – Managed platform for orchestrating Kubernetes containers.
Google Kubernetes Engine Autopilot – GKE Autopilot is an operational mode in GKE in which Google manages infrastructure configuration, including nodes, scalability, security and other preconfigured settings. Autopilot mode is optimized to run most production workloads and provision compute resources based on Kubernetes manifest.
App Engine – Managed platform for application development and hosting.
Cloud Run – Serverless platform for running containerized applications.
Cloud SQL – Managed database service for MySQL, PostgreSQL and SQL Server.
Bigtable – High-performance NoSQL database for large-scale analytical and operational workloads.
Cloud Spanner – Globally distributed relational database with transactional consistency.
Firestore – Serverless NoSQL document database for web and mobile app development.
Cloud Memorystore – Managed in-memory data store service based on Redis and Memcached.
AlloyDB – A PostgreSQL-compatible, performant and scalable database.
BigQuery – Fully managed enterprise data warehouse for data analysis.
Dataflow – Streaming and batch data processing service.
Dataproc – Managed service for running Apache Spark and Hadoop clusters.
Pub/Sub – Asynchronous messaging service for ingestion and distribution of
events.
Cloud Composer – Fully managed workflow orchestration service based on Apache Airflow.
Looker Studio Pro – Looker Studio Pro gives access to all the features of Looker Studio, plus advanced business functionality and technical support.
Cloud Build – Service for rapid creation of software in various languages and environments.