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System Monitoring

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In the SQA (Software Quality Assurance) industry, system monitoring refers to the process of observing and measuring the quality and performance of a software application or system. This includes monitoring the software's behavior, performance, functionality, security, and user experience.

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System monitoring in SQA involves using various tools and techniques to collect data on software parameters such as error rates, response times, user activity, and system resources. This data is then analyzed to identify any potential issues that could impact the quality or performance of the software application.

 

SQA system monitoring is often performed continuously, either manually or through the use of automated tools. It can be done at various stages of the software development life cycle, from development to testing, deployment, and maintenance.

The goal of system monitoring in SQA is to ensure that the software application or system meets its quality objectives, such as functionality, performance, reliability, and security, and to identify any potential defects or issues early in the development process to minimize their impact on end-users.
 

With DevOps, the expectation is to develop faster, test regularly, and release more frequently, all while improving quality and cutting costs. To help achieve this, DevOps monitoring tools provide automation and expanded measurement and visibility throughout the entire development lifecycle -- from planning, development, integration and testing, deployment, and operations.   The modern software development life cycle is faster than ever, with multiple development and testing stages happening simultaneously. This has spawned DevOps, a shift from siloed teams who perform development, testing, and operations functions into a unified team who performs all functions

QA-TEAM’s DevOps System Monitoring Services

 

  • Define the scope of monitoring - Determine which systems, applications, and infrastructure components need to be monitored and what metrics are important to track.

  • Choose the right tool for the job - There are several tools available for system monitoring in a DevOps environment, including Nagios, Zabbix, Datadog, and New Relic.

  • Set up monitoring agents - Install and configure monitoring agents on the systems and components that need to be monitored.

  • Define the metrics to be monitored - Determine the specific metrics that will be monitored, such as resource utilization (e.g. CPU, memory, and disk), network activity, and error rates.

  • Configure alert thresholds - Set up alert thresholds for the defined metrics to trigger notifications in case of problems.

  • Set up notification channels - Choose the channels for receiving notifications, such as email, SMS, and chatbots.

  • Test the monitoring and alerts - Test the monitoring and alerting system to ensure that it is working as expected and that the right people receive the right information.

  • Generation of reports

  • Monitor and refine - Continuously monitor the system and refine the monitoring and alerting process as necessary to ensure that it is effective and efficient.

  • Document the process - Document the monitoring process and any related configurations for future reference.

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