Microsoft best practices for ransomware protection 1) Prepare your recovery plan This is the first phase, planning your recovery in the event of a ransomware attack. This will help the organization in limiting the damage and handle the situation efficiently and reduce the monetary loss. Ensure procedure to make accessing and disrupting the systems harder. Identify and categorize your business-critical systems and apply best practices. Ensure that you have a working backup. For this make use of the Azure Backup services. It also provides built-in monitoring and alerting capabilities to view and configure actions for events related to Azure Backup. Make sure to implement steps to protect the integrity of the backup, implement principle of least privilege and adding an extra layer of authentication for critical operations, you're prompted to enter a security PIN before modifying online backups. 2) Limit the scope of the damage Assume breach scenario. In the event of a successf
Google Cloud resources can be managed in multiple ways. It can be done using Cloud Console, SDK or by using Cloud Shell.
A few basic Google Cloud shell commands are listed below.
1) List the active account name
gcloud auth list
2) List the project ID
gcloud config list project
3) Create a new instance using Gcloud shell
gcloud compute instances create [INSTANCE_NAME] --machine-type n1-standard-2 --zone [ZONE_NAME]
A few basic Google Cloud shell commands are listed below.
1) List the active account name
gcloud auth list
2) List the project ID
gcloud config list project
3) Create a new instance using Gcloud shell
gcloud compute instances create [INSTANCE_NAME] --machine-type n1-standard-2 --zone [ZONE_NAME]
Use gcloud compute machine-types list to view a list of machine types available in particular zone. If the additional parameters, such as a zone is not specified, Google Cloud will use the information from your default project. To view the default project information, use gcloud compute project-info describe
4) SSH in to the machine
gcloud compute ssh [INSTANCE_NAME] --zone [YOUR_ZONE]
5) RDP a windows server
gcloud compute instances get-serial-port-output [INSTANCE_NAME] --zone [ZONE_NAME]
6) Command to check whether the server is ready for an RDP connection
gcloud compute instances get-serial-port-output
7) Create a Storage bucket
gsutil mb gs://[BUCKET_NAME]
8) Copy a file in to the bucket
gsutil cp [FILE_NAME] gs://[BUCKET_NAME]
9) Setting up default compute zone
gcloud config set compute/zone [ZONE_NAME]
10) Set the default region:
gcloud config set compute/region [REGION_NAME]
11) List the compute engine instances created:
gcloud compute instances list
12) Create Kubernetes Cluster
gcloud container clusters create [CLUSTER-NAME]
13) Get authentication credentials for the cluster
gcloud container clusters get-credentials [CLUSTER-NAME]
14) Expose the Kubernetes resource to the internet
kubectl expose deployment hello-server --type="LoadBalancer"
!----- Passing in type="LoadBalancer" creates a Compute Engine load balancer for your container-----!
15) Inspect the service running in Kubernetes
kubectl get service [SERVICE_NAME]
16) Stop an Compute Instance.
gcloud compute instances stop [INSTANCE-NAME]
About Serverless Computing Offering by Google Cloud, Continue reading here
gcloud compute ssh [INSTANCE_NAME] --zone [YOUR_ZONE]
5) RDP a windows server
gcloud compute instances get-serial-port-output [INSTANCE_NAME] --zone [ZONE_NAME]
6) Command to check whether the server is ready for an RDP connection
gcloud compute instances get-serial-port-output
7) Create a Storage bucket
gsutil mb gs://[BUCKET_NAME]
8) Copy a file in to the bucket
gsutil cp [FILE_NAME] gs://[BUCKET_NAME]
9) Setting up default compute zone
gcloud config set compute/zone [ZONE_NAME]
10) Set the default region:
gcloud config set compute/region [REGION_NAME]
11) List the compute engine instances created:
gcloud compute instances list
12) Create Kubernetes Cluster
gcloud container clusters create [CLUSTER-NAME]
13) Get authentication credentials for the cluster
gcloud container clusters get-credentials [CLUSTER-NAME]
14) Expose the Kubernetes resource to the internet
kubectl expose deployment hello-server --type="LoadBalancer"
!----- Passing in type="LoadBalancer" creates a Compute Engine load balancer for your container-----!
15) Inspect the service running in Kubernetes
kubectl get service [SERVICE_NAME]
16) Stop an Compute Instance.
gcloud compute instances stop [INSTANCE-NAME]
About Serverless Computing Offering by Google Cloud, Continue reading here