org.springframework.web.HttpMessageNotReadableException,0
org.springframework.web.HttpRequestMethodNotSupportedException,0
org.springframework.web.HttpMediaTypeNotSupportedException,0
org.springframework.web.HttpMediaTypeNotAcceptableException,0
org.springframework.web.client.HttpClientErrorException,0
org.springframework.web.client.HttpServerErrorException,0
org.springframework.web.client.ResourceAccessException,0
org.springframework.web.HttpMessageNotReadableException,42,Normal volume,13.5
org.springframework.web.HttpRequestMethodNotSupportedException,57,Normal volume,17.8
org.springframework.web.HttpMediaTypeNotSupportedException,23,Anomalous volume,8.7
org.springframework.web.HttpMediaTypeNotAcceptableException,68,Normal volume,5.6
org.springframework.web.client.HttpClientErrorException,95,Normal volume,4.3
org.springframework.web.client.HttpServerErrorException,31,Normal volume,14.2
org.springframework.web.client.ResourceAccessException,12,Normal volume,11.9
org.springframework.transaction.TransactionSystemException,76,Anomalous volume,6.8
org.springframework.transaction.IllegalTransactionStateException,88,Anomalous volume,19.5
Designing a self-healing system that takes actions in response to alerts and logs without requiring configuration or code changes is a great way to improve the reliability and availability of your applications. Here are some additional actions you can consider:
-
Auto-Scaling: Implement auto-scaling based on resource utilization metrics. When CPU, memory, or other resource usage exceeds predefined thresholds, automatically add or remove instances to adjust capacity.
-
Process or Service Restart: Automatically restart specific processes or services within an application when they become unresponsive or encounter errors. This can help clear transient issues.
-
Log Rotation and Management: Implement automated log rotation and management to prevent log files from consuming all available disk space. Ensure that logs are regularly archived and compressed.
-
Database Connection Pool Reset: Periodically reset database connection pools to release stale or hanging connections. This can help prev
import logging | |
import os | |
from flask import Flask, jsonify | |
app = Flask(__name__) | |
# Create a lock file to indicate whether a request is in progress | |
lock_file_path = "request_lock.lock" | |
@app.route('/') |
import logging | |
import os | |
import threading | |
from flask import Flask, jsonify | |
app = Flask(__name__) | |
# Create a lock to serialize access to the log file | |
log_file_lock = threading.Lock() |
import logging | |
import os | |
import threading | |
from flask import Flask, jsonify | |
app = Flask(__name__) | |
# Create a lock to serialize access to the log file | |
log_file_lock = threading.Lock() |
import logging | |
# Configure logging | |
logging.basicConfig(level=logging.INFO, format='%(message)s') | |
logger = logging.getLogger() | |
# Add a file handler to log to a text file | |
file_handler = logging.FileHandler('output.log') | |
file_handler.setLevel(logging.INFO) | |
file_handler.setFormatter(logging.Formatter('%(asctime)s - %(message)s')) |
import requests | |
import time | |
# Function to start the job | |
def start_job(start_endpoint): | |
response = requests.post(start_endpoint) | |
if response.status_code == 200: | |
print("Job started successfully.") | |
else: | |
print("Failed to start the job.") |
exception: "Stale database connection"
tags: stale_db, stale_db_connection, connection_pooling
mitigation:
- Runbook Owner: [Your Name]
- Last Updated: [Date]
Steps to Mitigate:
1. **Identify Affected Instances:**
"503 Service Unavailable: The server is unable to handle the request due to a temporary condition. Please try again later." -> Load balancer issue
"503 Service Unavailable: The requested service is currently unavailable due to server overload." -> High traffic volume
"503 Service Unavailable: The server is currently undergoing maintenance. Please try again later." -> Scheduled maintenance
"503 Service Unavailable: The server is busy or down for maintenance. Please try again later." -> Server maintenance
"503 Service Unavailable: The service you are trying to access is currently unavailable. We apologize for the inconvenience." -> Service outage
"503 Service Unavailable: The server is under heavy load and unable to respond to your request at the moment." -> High server load
"503 Service Unavailable: The server is currently unable to handle the request due to a high load. Please try again later." -> High server load
"503 Service Unavailable: Our system is undergoing maintenance. Please check back shortly."