What is the impact of overseas cloud server CPU running full? How to set monitoring and warning

When the CPU of an overseas cloud server runs out, the system performance deteriorates and the system fails to respond. Setting monitoring alarms can help administrators detect and prevent these situations in time. The following is about how to set up overseas cloud server CPU running monitoring early warning related to sharing.

CPU monitoring and alerting can be set up directly using the cloud provider's monitoring tools, or using open source tools such as Prometheus, Grafana, and Alertmanager.

Install Prometheus: Install and configure Prometheus to capture CPU usage data for the server.

Install Node Exporter: Install Node Exporter on your server to collect CPU usage data and send it to Prometheus.

Configure Grafana: Use Grafana to visualize CPU usage data and set warning rules.

Configure Alertmanager: Install and configure Alertmanager to send alerts when CPU usage exceeds the preset threshold.

CPU overrunning can cause performance degradation, service interruption, and data loss. Avoid CPU overrunning by optimizing the application (optimizing code, using caching, asynchronous processing), resource expansion (vertical expansion, such as increasing CPU and memory resources, increasing the number of server instances, using load balancers, etc.). Load balancing can distribute traffic to multiple instances. To prevent the CPU of a single server from running out, regular maintenance and inspection of the server can clean up unnecessary processes and services, and ensure that system resources are used efficiently.

Example of setting CPU usage alerts with Prometheus and Alertmanager:

# Install Prometheus

Wget HTTP: / / https://github.com/prometheus/prometheus/releases/download/v2.27.1/prometheus-2.27.1.linux-amd64.tar.gz

tar -xvf prometheus-2.27.1.linux-amd64.tar.gz

cd prometheus-2.27.1.linux-amd64

# Install Node Exporter

Wget HTTP: / / https://github.com/prometheus/node_exporter/releases/download/v1.2.2/node_exporter-1.2.2.linux-amd64.tar.gz

tar -xvf node_exporter-1.2.2.linux-amd64.tar.gz

cd node_exporter-1.2.2.linux-amd64

./node_exporter &

Edit the prometheus.yml file and add the configuration for Node Exporter:

scrape_configs:

- job_name: 'node_exporter'

static_configs:

- targets: ['localhost:9100']

To start Prometheus:

./prometheus --config.file=prometheus.yml &

Install and configure Grafana:

# Download and install Grafana

sudo apt-get install -y software-properties-common

sudo add-apt-repository "deb https://packages.grafana.com/oss/deb stable main"

sudo apt-get update

sudo apt-get install grafana

# Start Grafana

sudo systemctl start grafana-server

sudo systemctl enable grafana-server

Add the Prometheus data source to Grafana and create graphs and alert rules for CPU usage.

Configure Alertmanager, edit the AlertManager.yml file, and configure email notifications:

route:

receiver: 'email'

receivers:

- name: 'email'

email_configs:

- to: 'admin@example.com'

from: 'alertmanager@example.com'

smarthost: 'smtp.example.com:587'

auth_username: 'your_username'

auth_identity: 'your_identity'

auth_password: 'your_password'

Start Alertmanager:

./alertmanager --config.file=alertmanager.yml &

Setting CPU usage monitoring and early warning can help you discover and deal with server performance problems in a timely manner. Using cloud server provider tools or open source tools can effectively monitor and early warning. In addition, optimizing applications, expanding resources, using load balancing, and regular maintenance are effective ways to avoid CPU overruns. The on-board approach can help ensure that cloud servers maintain good performance and stability under high load conditions.