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Monitoring

Qualys

Qualys is used by NCSA IT for vulnerability assessment and management.  Qualys will require SSH access to any public-facing host or service.  

NCSA Security has opened a ticket for this: https://jira.ncsa.illinois.edu/browse/SECOPS-340. We need to:

  • Provide a list of IPs that we want scanned (in general they try to scan one system of each type)
  • Security will provide SSH public key to use to login to local qualys user account.
  • Instructions for setting up Qualys user: https://wiki.ncsa.illinois.edu/pages/viewpage.action?pageId=41461115
  • Provide email address for reports.
  • We will also need to do this to public-facing containers (e.g., Nginx controller)

Associated tickets:

  • NDS-565 - Getting issue details... STATUS

Nagios

Nagios is an open source monitoring system. In general, the Nagios server is installed in one location and the Nagios Remote Plugin Executor (NRPE) on each node to be monitored. Nagios provides public service monitoring through standard plugins (e.g., DNS, HTTP, SMTP, etc).  It provides private service monitoring throug NRPE (CPU, memory, disk, etc).

For NDS Labs, we'll do the following:

Additionally, we will want to add health checks (healthz) to all system services.

Associated tickets:

  • NDS-566 - Getting issue details... STATUS

Usage monitoring

We will use the Kubernetes addons, specifically ELK and Grafana, to monitor usage during the beta period.

Backup/Disaster Recovery

  1. GFS, Etcd "best effort" for beta
  2. Cluster config (using kubectl)
  3. Deploy tools provisioning
  • Where? AWS, BW, TACC
  • How? Some script/Job/rsync
  • When? Daily rolling
  • Q
    • Hot backup of DBs – backupz + side car
  • GFS backup options, depends on # of users
    • Snapshots + diffs
    • Checkpointing
    • Replication to another GFS/geolocation

 

Performance Testing

  • GFS
  • “iassist” redux
    • est. per-user quotas?
    • what do we need on day 1 

Open Questions

  • How many beta users?
    • what is the workload?
  • By what performance metrics do we judge pass/fail?
  • How do we learn our limits?
    • Capacity planning / monitoring
  • What happens when we need to:
    • add GFS bricks?
    • add kubernetes nodes?
  • What constitutes a failure?
    • Dead node

Capacity Planning

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