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App Server in DevOps

App Server in DevOps

$250.00
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.
Your guarantee:
30-day money-back guarantee — no questions asked
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What does the App Server in DevOps course cover?

App Server in DevOps is covered here in 8 modules: App Server Selection and Standardization, Configuration Management and Immutable Deployments, CI/CD Pipeline Integration and 5 more. The outline lists 48 specific topics, opening with evaluate Jakarta EE compliance levels across Open Liberty, WildFly, and TomEE when integrating with existing enterprise APIs.

How do you approach App Server in DevOps step by step?

The work is sequenced in 8 stages. It starts with App Server Selection and Standardization, moves through Configuration Management and Immutable Deployments and CI/CD Pipeline Integration, and ends at Disaster Recovery and Lifecycle Management. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the App Server in DevOps course?

Module 1 is App Server Selection and Standardization. It works through evaluate Jakarta EE compliance levels across Open Liberty, WildFly, and TomEE when integrating with existing enterprise APIs., decide between embedded versus standalone app server deployment based on microservices packaging requirements and CI/CD pipeline constraints., standardize JVM version and garbage collection configuration across app server instances to ensure consistency in performance testing.

How is the App Server in DevOps course delivered?

The App Server in DevOps course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the App Server in DevOps course cost?

The App Server in DevOps course is $250 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: App Server in Application Development, App Server in Application Management, App Server in Active Directory Dataset, App Server in Application Infrastructure Dataset.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the technical breadth of a multi-workshop program focused on enterprise middleware integration, comparable to an internal capability build for standardizing and operating application servers across CI/CD, security, and cloud infrastructure teams.

Module 1: App Server Selection and Standardization

  • Evaluate Jakarta EE compliance levels across Open Liberty, WildFly, and TomEE when integrating with existing enterprise APIs.
  • Decide between embedded versus standalone app server deployment based on microservices packaging requirements and CI/CD pipeline constraints.
  • Standardize JVM version and garbage collection configuration across app server instances to ensure consistency in performance testing and production.
  • Assess licensing implications of commercial app servers (e.g., IBM WebSphere, Oracle WebLogic) in containerized environments with dynamic scaling.
  • Document supported app server versions and patch levels in configuration management databases (CMDB) to enforce deployment governance.
  • Balance startup time and memory footprint of app servers when selecting between full-profile and web-profile distributions for cloud-native workloads.

Module 2: Configuration Management and Immutable Deployments

  • Externalize app server configuration (e.g., data sources, JMS queues) using ConfigMaps in Kubernetes while preserving environment-specific overrides.
  • Implement configuration drift detection by comparing running app server configuration against source-controlled manifests using tools like Ansible or Puppet.
  • Build immutable app server images with baked-in security patches and configuration to eliminate runtime dependency on remote configuration servers.
  • Manage sensitive app server settings (e.g., keystore passwords) using HashiCorp Vault integration instead of environment variables in deployment manifests.
  • Version app server configuration artifacts alongside application code in Git to enable rollback and auditability of configuration changes.
  • Enforce configuration consistency by disabling admin console and JMX remote access in production-deployed app server images.

Module 3: CI/CD Pipeline Integration

  • Integrate app server packaging steps (e.g., WAR assembly, deployment plan injection) into Jenkins or GitLab CI pipelines using Maven or Gradle.
  • Validate app server deployment descriptors during pipeline execution to catch schema violations before promotion to staging.
  • Use build-time scanning of app server images for CVEs via Clair or Trivy before pushing to private registries.
  • Orchestrate blue-green deployments of app server instances using Argo Rollouts or Spinnaker to minimize downtime during updates.
  • Automate smoke testing of app server health endpoints post-deployment to verify application context loading and datasource connectivity.
  • Implement pipeline gates that prevent deployment if app server thread pool or connection pool settings exceed defined thresholds.

Module 4: Security Hardening and Compliance

  • Disable outdated SSL/TLS protocols and ciphers in app server configurations to meet PCI-DSS compliance requirements.
  • Enforce role-based access control (RBAC) on app server administrative interfaces using LDAP or SSO integration.
  • Rotate keystores and truststores automatically using scheduled jobs and integrate with enterprise PKI systems.
  • Remove default applications and sample content from app server installations to reduce attack surface.
  • Enable request filtering in the app server to block malicious URL patterns and HTTP methods at the container level.
  • Log app server security events (e.g., failed logins, deployment attempts) to a centralized SIEM using syslog or JSON formatting.

Module 5: Monitoring, Logging, and Observability

  • Expose app server metrics (e.g., thread usage, session count) via Micrometer and scrape them using Prometheus for long-term trend analysis.
  • Inject correlation IDs at the app server level to maintain trace context across distributed transactions in OpenTelemetry pipelines.
  • Configure asynchronous logging in the app server using Logback or Log4j2 to prevent I/O bottlenecks during high load.
  • Set up alerts on app server-specific conditions such as stuck threads, classloader leaks, or connection pool exhaustion.
  • Aggregate app server logs using Fluent Bit and route them to Elasticsearch with index retention policies aligned to compliance.
  • Use JMX exporters to monitor MBeans from non-JVM monitoring tools without enabling insecure remote JMX access.

Module 6: High Availability and Clustering

  • Configure session replication in clustered app servers using in-memory data grids like Hazelcast or Redis instead of file-based persistence.
  • Design load balancer health checks to validate both app server liveness and application readiness endpoints separately.
  • Implement sticky sessions only when required by legacy applications, preferring stateless designs with centralized session stores.
  • Test failover scenarios by simulating app server node outages and measuring session recovery time and transaction loss.
  • Coordinate cluster membership and deployment synchronization using Consul or ZooKeeper in dynamic cloud environments.
  • Size thread pools and heap allocations based on expected concurrent load per node to prevent cascading failures during traffic spikes.

Module 7: Scaling and Performance Tuning

  • Profile application response times under load to identify app server bottlenecks in connection pooling or JSP compilation.
  • Adjust garbage collection settings (e.g., G1GC region size) based on heap dump analysis and pause time requirements.
  • Pre-warm app server instances in autoscaling groups by triggering context initialization before routing traffic.
  • Limit concurrent deployments to app server clusters to prevent resource contention during peak business hours.
  • Use JVM-level flight recording to diagnose performance issues in production without enabling verbose logging.
  • Validate scaling efficiency by measuring request throughput per CPU core across different app server instance sizes.

Module 8: Disaster Recovery and Lifecycle Management

  • Define RTO and RPO for app server-hosted applications and align backup strategies for deployment artifacts and configuration.
  • Test disaster recovery runbooks by restoring app server environments from backup in an isolated recovery zone.
  • Automate backup of app server configuration and deployed applications using scheduled scripts integrated with version control.
  • Decommission outdated app server versions by tracking application dependencies and coordinating with development teams.
  • Maintain offline copies of approved app server installers and patches for air-gapped environments.
  • Enforce lifecycle policies that automatically flag app server instances running unsupported versions for remediation.
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