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System Configuration in Application Management

System Configuration in Application Management

$249.00
How you learn:
Self-paced • Lifetime updates
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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This curriculum spans the technical breadth of a multi-workshop infrastructure modernization program, addressing the same system configuration decisions and trade-offs encountered when securing, scaling, and governing complex application environments in regulated enterprises.

Module 1: Infrastructure Sizing and Resource Allocation

  • Selecting instance types based on application memory and CPU utilization patterns during peak load cycles.
  • Allocating storage IOPS to balance database performance against cloud cost constraints.
  • Configuring auto-scaling policies to respond to traffic spikes without over-provisioning.
  • Partitioning workloads across availability zones to meet uptime SLAs while minimizing latency.
  • Determining cache size and eviction policies for Redis or Memcached based on hit rate targets.
  • Right-sizing container resource limits in Kubernetes to prevent node exhaustion and scheduling failures.

Module 2: Configuration Management and Automation

  • Designing Ansible playbooks to enforce consistent middleware configuration across environments.
  • Implementing GitOps workflows using ArgoCD to synchronize Kubernetes configurations with source control.
  • Managing environment-specific variables in HashiCorp Vault versus configuration files.
  • Versioning configuration templates in Terraform to support rollback during deployment failures.
  • Enforcing idempotency in Puppet manifests to prevent unintended state changes on rerun.
  • Integrating configuration drift detection into CI/CD pipelines using tools like Chef InSpec.

Module 3: Application Environment Strategy

  • Structuring non-production environments to mirror production data sensitivity and scale.
  • Implementing blue-green deployment configurations with load balancer routing rules.
  • Isolating staging environments using network segmentation and firewall rules.
  • Managing feature flags in production to control rollout without redeployment.
  • Configuring canary release pipelines with traffic splitting at the service mesh layer.
  • Enforcing naming conventions and tagging policies for resource identification and cost tracking.

Module 4: Security and Access Control Configuration

  • Configuring role-based access control (RBAC) in Kubernetes to limit service account privileges.
  • Implementing least-privilege IAM policies for cloud-native applications on AWS or Azure.
  • Enabling mutual TLS between microservices in Istio with certificate rotation policies.
  • Disabling insecure cipher suites in web server configurations to meet compliance standards.
  • Integrating application secrets into runtime via secure injection mechanisms, not hardcoded values.
  • Configuring audit logging for configuration changes in critical systems like Active Directory or SSO providers.

Module 5: Monitoring, Logging, and Observability Setup

  • Defining custom metrics collection intervals to balance granularity and storage costs.
  • Configuring log retention policies in Elasticsearch or Splunk based on regulatory requirements.
  • Setting alert thresholds for CPU, memory, and error rates to reduce false positives.
  • Instrumenting distributed tracing with OpenTelemetry across service boundaries.
  • Filtering and parsing logs at ingestion to reduce noise and improve query performance.
  • Integrating health check endpoints with monitoring tools using standardized response codes.

Module 6: High Availability and Disaster Recovery Configuration

  • Configuring failover clusters with quorum settings to prevent split-brain scenarios.
  • Setting up cross-region database replication with conflict resolution policies.
  • Validating backup integrity by restoring application configurations in isolated test environments.
  • Defining RPO and RTO targets and aligning backup frequency and replication lag accordingly.
  • Automating DNS failover using Route 53 health checks and routing policies.
  • Documenting and testing runbooks for configuration restoration during outage scenarios.

Module 7: Compliance and Configuration Governance

  • Mapping configuration settings to regulatory controls such as HIPAA or GDPR.
  • Implementing configuration baselines using CIS benchmarks for server hardening.
  • Conducting quarterly access reviews for configuration management tooling.
  • Enforcing change approval workflows in configuration management databases (CMDB).
  • Generating audit trails for configuration changes with user, timestamp, and reason fields.
  • Integrating configuration compliance checks into pre-deployment validation gates.

Module 8: Performance Tuning and Runtime Optimization

  • Adjusting JVM heap size and garbage collection settings based on application profiling data.
  • Configuring connection pooling parameters for database drivers to avoid exhaustion.
  • Optimizing HTTP keep-alive and timeout settings in reverse proxies.
  • Tuning kernel parameters such as file descriptor limits and TCP buffer sizes.
  • Disabling unused services and modules in application servers to reduce attack surface.
  • Validating configuration impact on response time using load testing tools like JMeter.
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