1. Overview Google Stackdriver performs monitoring, logging and diagnostics to help businesses ensure optimal performance and availability. The service gathers performance metrics and metadata from multiple cloud accounts and allows IT teams to view that data through custom dashboard, charts and reports. Google Stackdriver is natively integrated with Google Cloud Platform and hosted on Google infrastructure, but the monitoring capabilities can also be used for applications and virtual machines...
STACKDRIVER Google Cloud Google Cloud Computing Google Cloud Platform GCP
1. Overview There are two types of load balancers in Google Cloud Platform: Network Load Balancer HTTP(s) Load Balancer 2. Create multiple web server instances To simulate serving from a cluster of machines, we'll create a simple cluster of Nginx web servers that will serve static content using Instance Templates and Managed Instance Groups. Instance Templates lets you to define what every virtual machine in the cluster will look like (disk, CPUs, memory, etc), and a Managed Instance Group...
Google Cloud Computing Google Cloud Platform GCP Networking Load Balancers
1. Overview Kubernetes is an open source project (available on kubernetes.io) which can run on many different environments, from laptops to high-availability multi-node clusters; from public clouds to on-premise deployments; from virtual machines to bare metal. 2. Objectives To package and deploy your application on Kubernetes Engine, you must: Package your app into a Docker image Run the container locally on your machine (optional) Upload the image to a registry Create a container...
Google Cloud Google Cloud Platform GCP Kubernetes Google Kubernetes Engine
With the rapid development of technology, a Data Scientist could archive their job like training ML models faster. The Word "AutoML"(also known as Automated machine learning) comes and now plays a crucial role in studying ML. Their work has been promoted to a new level compared with the traditional way of creating an ML model. The three big cloud platforms(GCP, Azure, AWS) now provided a variety of resources for Machine learning, especially AutoML. This blog will go through from...
Google Cloud Platform Advance Python Google Cloud Vision API