Cloud Operations II

Systems via Service Providers

- Azure DevOps + Build + Release ++ Deployment Groups ++ Agent Pools ++ Integration with other systems + VSTS + Issue log, Project planning, reporting tools

- AWS CodeBuild + Build and test source code + Create and upload artifacts + Forward/Notify other services

- AWS CodeDeploy + EC2 Instances + AWS CLI friendly + Avoids downtime

- AWS CodeCommit + Version Control + Trigger builds

* Note on Microservices and Functions

Azure Functions and AWS Lambda - Azure Language - AWS Language

- Real Time Processing + ETL (variety of services) + Application activity, log parsing, telemetry + Transcoding + Indexing + Integration into other services + API

Monitoring - DataDog + Monitoring as a Service ++ Pay per agent ++ Pay per million log events ++ Pay per 10,000 test + Based on ELK stack + Support (Remote and On-Site) + Ease of management (multiple environments) + Tons of integration (AWS, PagerDuty, Azure, Active Directory) + Lack of documentation - ELK + Three services: Elasticsearch, Logstash, Kibana + Separate instances or all in one + Elasticsearch cluster ++ Shared data (shards) ++ Minimum nodes online ++ Forwarding node (very bizarre, in my opinion) + Logstash Grok Parsing ++ Ruby! ++ Separate files for ease of configuration ++ Great logs + Kibana ++ Integration with AD/LDAP ++ Rules/Policy Based ++ Dashboards, dashboards, dashboards! + Dramatic differences per version + Great support (when they answer) - Nagios/Sensu/Zabbix + Master server + Configure agents + Create rules for monitoring + Setup alerting