Implementation priorities
Collect, aggregate, and protect event and log data
After you have provisioned your multi-account framework with
AWS Control Tower
Use AWS Systems Manager Quick Setup with policies defined at the organization level, to deploy the CloudWatch agent to EC2 instances across your environments. This will enable system-level metrics to be aggregated alongside your other log data. Feed events into an event management or SIEM platform that has been adapted for AWS environments via API integration. Logs, metrics, and traces should be collected across the following observability categories:
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Control plane observability—Enable CloudTrail logging to capture API call activity. As accounts are provisioned from AWS Control Tower, a service control policy will be provisioned which prevents changes to the CloudTrail configuration and log archive account.
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Network observability—Monitor and track network events and behaviors including network firewalls, network intrusion detection and prevention, load balancers, AWS WAF, proxy tools, and network flow data collection and monitoring. Track events and behaviors related to access controls (for example, security groups and firewall services) and monitor network activity with Amazon VPC Flow Logs and packet inspection with Amazon VPC Traffic Mirroring.
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Workload observability (including distributed tracing within your application observability solutions for serverless, container, storage, and database workloads)—Track events and behaviors at scale as workloads communicate within the cloud environment as a whole, in addition to the local application logs on individual systems.
Build capabilities to analyze and visualize log events and traces
Build capabilities to interactively search and analyze your local and centralized log data. As you scale with AWS, you will need to include the ability to index and visualize your log insights and metrics. Correlate logs and performance metrics across different types of data collection to drive meaningful conclusions and insights. Use rules to effectively respond to security events or patterns identified in your logs. Develop a nearly continuous monitoring strategy to scale your observability capabilities as you migrate and grow solutions on AWS.
Add detection and alerts for anomalous patterns across environments
Proactively assess environments for known vulnerabilities and add
detection for anomalous patterns of events and activities. Monitor
for unusual activity or behavior related to users and workloads
using tools such as
Amazon GuardDuty
Define, automate, and measure response and remediation
Establish expected behavior thresholds paired with business metrics to understand KPIs for workloads and environments. Determine appropriate incident and response actions to pursue. Use SIEM solutions to monitor workloads in real-time, identify security issues, and expedite root-cause analysis.
Automations can be initiated by several different triggers, such as EventBridge, State Manager associations, and maintenance windows. By using triggers, you can run automations because of a specific event or on a scheduled basis. Events can be derived from pattern matching using Amazon CloudWatch alerts or SIEM. Take advantage of security orchestration, automation, and response platforms (SOAR) while pairing with responses created from recorded events with tools like AWS Lambda. Maintain a process to continually improve mean time to identify (MTTI) root cause and mean time to respond (MTTR) to problems. Establish and measure goals to reduce the time to detect, identify, and remediate issues. This can also be done in conjunction with post-mortem or lessons learned procedures that align with your existing software development lifecycle or management practices.
