Sarmi Hazra 24MCAR0170
Disha Biswas 24MCAR0139
Overview of
Monitoring
2
Introduction to Cloud Monitoring
Importance of Continuous System Oversight
Cloud monitoring involves continuous observation and performance tracking to
ensure optimal system functionality. It is crucial for early issue detection,
enhancing reliability and user satisfaction across cloud services.
Detect failures before they impact users
negatively
Optimize performance for better service
delivery and efficiency
Control resourse costs through proactive
resource management and insights
Enhance user satisfaction by ensuring system
reliability and uptime
Importance of
Monitoring
4
Essential Components of Monitoring
Key Elements for Effective Oversight
Effective monitoring in cloud services relies on critical components like metrics, logs,
traces, alerts, and dashboards, which together ensure a comprehensive view of system
performance.
5
Key Metrics
Essential Indicators for Cloud Performance
CPU & Memory Usage
CPU usage indicates how much processing
power is consumed, helping detect
performance bottlenecks and optimize
resource allocation for applications running
in the cloud environment.
Network Traffic
Tracks bandwidth and throughput.
Latency
Latency refers to the time it takes for
data to travel from source to destination,
impacting user experience and overall
system performance in cloud-based
services.
Error Rates
Shows failed transactions or crashes.
6
Monitoring Levels
Understanding Various Monitoring Types
Infrastructure
Infrastructure monitoring focuses on
hardware and software resources,
ensuring availability and performance of
servers, storage, and networks, providing
foundational insights into underlying cloud
infrastructure.
Application
Application monitoring assesses the
performance and functionality of
software applications, tracking
response times, error rates, and user
experiences, ensuring optimal operation
and user satisfaction across cloud
services.
Network
Network monitoring evaluates the flow
of data between cloud services,
identifying bottlenecks, latency issues,
and security vulnerabilities, facilitating
effective management and improved
network reliability in cloud
environments.
7
Tools for Cloud Monitoring
Key Platforms for Effective Monitoring
Utilizing powerful tools like AWS CloudWatch, Azure Monitor, and Google Cloud
Operations enhances the efficiency of monitoring cloud environments, ensuring
reliability and optimal performance across services.
Monitoring AWS Cloud Services
AWS CloudWatch helps track metrics like CPU utilization,
network throughput, and errors in real-time. It can
automatically trigger alarms or actions when thresholds are
exceeded, ensuring proactive system maintenance.
Automation and AI
The integration of automation and AI enhances monitoring
capabilities, enabling predictive analytics to foresee potential
issues, anomaly detection for identifying unusual patterns, and
auto-remediation for immediate problem resolution, improving
overall efficiency.
10
Challenges in Cloud Monitoring
Understanding the complexities in today’s landscape
Monitoring cloud environments faces critical challenges like data overload, the
complexity of multi-cloud systems, and the occurrence of false positives, requiring
robust strategies to mitigate these issues.
Implement centralized logging for efficient data
access
Regularly tune thresholds to avoid alert fatigue
Prioritize alerts based on severity and impact
Best Practices for
Cloud Monitoring
E-commerce Cloud Monitoring Case Study
This case study demonstrates how continuous monitoring using
Prometheus and Grafana helped an e-commerce business identify
slow database queries, optimize performance, and improve
response time by 60%.
Future Trends in
Monitoring
The future of cloud monitoring is characterized by AI-driven
observability, enabling systems to autonomously detect issues and
adapt. Unified dashboards will streamline data visualization,
enhancing decision-making capabilities for improved efficiency.
Thank You

Overview of Monitoring : The Continuous Process of Observing, Tracking, and Evaluating Systems

  • 1.
    Sarmi Hazra 24MCAR0170 DishaBiswas 24MCAR0139 Overview of Monitoring
  • 2.
    2 Introduction to CloudMonitoring Importance of Continuous System Oversight Cloud monitoring involves continuous observation and performance tracking to ensure optimal system functionality. It is crucial for early issue detection, enhancing reliability and user satisfaction across cloud services.
  • 3.
    Detect failures beforethey impact users negatively Optimize performance for better service delivery and efficiency Control resourse costs through proactive resource management and insights Enhance user satisfaction by ensuring system reliability and uptime Importance of Monitoring
  • 4.
    4 Essential Components ofMonitoring Key Elements for Effective Oversight Effective monitoring in cloud services relies on critical components like metrics, logs, traces, alerts, and dashboards, which together ensure a comprehensive view of system performance.
  • 5.
    5 Key Metrics Essential Indicatorsfor Cloud Performance CPU & Memory Usage CPU usage indicates how much processing power is consumed, helping detect performance bottlenecks and optimize resource allocation for applications running in the cloud environment. Network Traffic Tracks bandwidth and throughput. Latency Latency refers to the time it takes for data to travel from source to destination, impacting user experience and overall system performance in cloud-based services. Error Rates Shows failed transactions or crashes.
  • 6.
    6 Monitoring Levels Understanding VariousMonitoring Types Infrastructure Infrastructure monitoring focuses on hardware and software resources, ensuring availability and performance of servers, storage, and networks, providing foundational insights into underlying cloud infrastructure. Application Application monitoring assesses the performance and functionality of software applications, tracking response times, error rates, and user experiences, ensuring optimal operation and user satisfaction across cloud services. Network Network monitoring evaluates the flow of data between cloud services, identifying bottlenecks, latency issues, and security vulnerabilities, facilitating effective management and improved network reliability in cloud environments.
  • 7.
    7 Tools for CloudMonitoring Key Platforms for Effective Monitoring Utilizing powerful tools like AWS CloudWatch, Azure Monitor, and Google Cloud Operations enhances the efficiency of monitoring cloud environments, ensuring reliability and optimal performance across services.
  • 8.
    Monitoring AWS CloudServices AWS CloudWatch helps track metrics like CPU utilization, network throughput, and errors in real-time. It can automatically trigger alarms or actions when thresholds are exceeded, ensuring proactive system maintenance.
  • 9.
    Automation and AI Theintegration of automation and AI enhances monitoring capabilities, enabling predictive analytics to foresee potential issues, anomaly detection for identifying unusual patterns, and auto-remediation for immediate problem resolution, improving overall efficiency.
  • 10.
    10 Challenges in CloudMonitoring Understanding the complexities in today’s landscape Monitoring cloud environments faces critical challenges like data overload, the complexity of multi-cloud systems, and the occurrence of false positives, requiring robust strategies to mitigate these issues.
  • 11.
    Implement centralized loggingfor efficient data access Regularly tune thresholds to avoid alert fatigue Prioritize alerts based on severity and impact Best Practices for Cloud Monitoring
  • 12.
    E-commerce Cloud MonitoringCase Study This case study demonstrates how continuous monitoring using Prometheus and Grafana helped an e-commerce business identify slow database queries, optimize performance, and improve response time by 60%.
  • 13.
    Future Trends in Monitoring Thefuture of cloud monitoring is characterized by AI-driven observability, enabling systems to autonomously detect issues and adapt. Unified dashboards will streamline data visualization, enhancing decision-making capabilities for improved efficiency.
  • 14.