Week30-report.org

(2016-09-06 Tuesday)

• Hosted couple of labs on staging environment.
• Lab performance testing for CPU and RAM usage an each lab. And created excel sheet for each lab information such as concurrent users, transaction rate, CPU and RAM.
• Checking cumulative analytics of virtual-labs.
• Checking alerts for VLEAD as well as monitoring the services using nagios webpage.
• Amazon monitoring update During all this timings along with the alert mails, following things were monitored:

1. AWS instance​s and their graphs
2. AWS billing

(2016-09-07 Wednesday)

• Lab performance testing for CPU and RAM usage an each lab. And created excel sheet for each lab information such as concurrent users, transaction rate, CPU and RAM.
• Checking cumulative analytics of virtual-labs.
• Checking alerts for VLEAD as well as monitoring the services using nagios webpage.
• Amazon monitoring update During all this timings along with the alert mails, following things were monitored:

1. AWS instance​s and their graphs
2. AWS billing

(2016-09-08 Thursday)

• Lab performance testing for CPU and RAM usage an each lab. And created excel sheet for each lab information such as concurrent users, transaction rate, CPU and RAM.
• Preparing json files for automation script for porting of labs on openedx.
• Checking cumulative analytics of virtual-labs.
• Checking alerts for VLEAD as well as monitoring the services using nagios webpage.
• Amazon monitoring update During all this timings along with the alert mails, following things were monitored:

1. AWS instance​s and their graphs
2. AWS billing

(2016-09-09 Friday)

• Preparing json files for automation script for porting of labs on openedx.
• Checking cumulative analytics of virtual-labs.
• Checking alerts for VLEAD as well as monitoring the services using nagios webpage.
• Amazon monitoring update During all this timings along with the alert mails, following things were monitored:

1. AWS instance​s and their graphs
2. AWS billing