How to configure the load balancing in GCP for a use case of multiple backend web servers with WordPress, assuring that the database is consistent accross the many back-ends (web servwers) WordPress instances?
To configure load balancing in Google Cloud Platform (GCP) for a use case involving multiple backend web servers running WordPress, with the requirement that the database remains consistent across these instances, it is necessary to follow a structured approach involving several key components and services provided by GCP. This process ensures high availability, scalability, and
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP networking, Load Balancing
Is there an Android mobile application that can be used for management of Google Cloud Platform?
Yes, there are several Android mobile applications that can be used for managing Google Cloud Platform (GCP). These applications provide developers and system administrators with the flexibility to monitor, manage, and troubleshoot their cloud resources on the go. One such application is the official Google Cloud Console app, available on the Google Play Store. The
What is the difference between Bigquery and Cloud SQL
BigQuery and Cloud SQL are two distinct services offered by Google Cloud Platform (GCP) for data storage and management. While both services are designed to handle data, they have different purposes, functionalities, and use cases. Understanding the differences between BigQuery and Cloud SQL is important for choosing the appropriate service based on specific requirements. BigQuery
What is the difference between cloud SQL and cloud spanner
Cloud SQL and Cloud Spanner are two popular database services offered by Google Cloud Platform (GCP) that cater to different use cases and have distinct characteristics. Cloud SQL is a fully managed relational database service that allows users to run MySQL, PostgreSQL, and SQL Server databases in the cloud. It offers a familiar SQL interface
What is the difference between AutoML and Vertex AI?
AutoML and Vertex AI are two machine learning services offered by Google Cloud Platform (GCP) that aim to simplify the process of building and deploying machine learning models. While both services share the goal of enabling users to leverage machine learning capabilities without extensive expertise, there are several key differences between AutoML and Vertex AI.
What is containerized application?
A containerized application, in the context of Cloud Computing and specifically in relation to Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE), refers to the practice of packaging an application and its dependencies into a self-contained unit called a container. This containerization approach enables the application to run consistently and reliably across different computing
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Google Kubernetes Engine GKE
What is the difference between Dataflow and BigQuery?
Dataflow and BigQuery are both powerful tools offered by Google Cloud Platform (GCP) for data analysis, but they serve different purposes and have distinct features. Understanding the differences between these services is important for organizations to choose the right tool for their analytic needs. Dataflow is a managed service provided by GCP for executing parallel
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP basic concepts, Dataflow
How to configure a cloud shell?
To configure a Cloud Shell in the Google Cloud Platform (GCP), you need to follow a few steps. Cloud Shell is a web-based, interactive shell environment that provides access to a virtual machine (VM) with pre-installed tools and libraries. It allows you to manage your GCP resources and perform various tasks without the need for
What is Google Cloud Platform (GCP)?
GCP, or Google Cloud Platform, is a suite of cloud computing services provided by Google. It offers a wide range of tools and services that enable developers and organizations to build, deploy, and scale applications and services on Google's infrastructure. GCP provides a robust and secure environment for running various workloads, including artificial intelligence and
What is Cloud AutoML?
Cloud AutoML is a powerful tool offered by Google Cloud Platform (GCP) that enables users to build custom machine learning models without extensive knowledge of machine learning or coding expertise. It simplifies the process of creating, training, and deploying machine learning models by automating various tasks. At its core, AutoML is designed to democratize machine
- Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, GCP overview, GCP Machine Learning overview