DevOps Pipelines Specification
Overview
DevOps pipelines automate infrastructure provisioning, continuous integration/deployment, monitoring setup, and operational workflows. These pipelines bridge development and operations, enabling reliable, scalable, and maintainable software delivery through intelligent automation and best practices implementation.
Pipeline Categories
1. CI/CD Setup Pipeline
Purpose
Generate and configure comprehensive CI/CD pipelines tailored to project requirements, technology stack, and team workflows while implementing security and quality gates.
Configuration Structure
name: ci_cd_setup_pipeline
version: "2.0"
type: devops
description: "Intelligent CI/CD pipeline generation with security and quality gates"
metadata:
category: devops
sub_category: ci_cd
supported_platforms: ["github_actions", "gitlab_ci", "jenkins", "circleci", "azure_devops"]
security_frameworks: ["devsecops", "supply_chain", "compliance"]
inputs:
project_path:
type: string
required: true
description: "Path to project repository"
ci_platform:
type: string
enum: ["github_actions", "gitlab_ci", "jenkins", "circleci", "azure_devops"]
required: true
project_type:
type: string
enum: ["web_app", "api", "library", "mobile", "microservices", "monorepo"]
required: true
deployment_targets:
type: array
items:
type: object
properties:
environment:
type: string
enum: ["development", "staging", "production"]
platform:
type: string
enum: ["kubernetes", "ecs", "lambda", "app_service", "heroku", "vercel"]
region:
type: string
quality_gates:
type: object
properties:
test_coverage_threshold:
type: number
default: 80
security_scan_required:
type: boolean
default: true
performance_benchmarks:
type: boolean
default: false
branching_strategy:
type: string
enum: ["gitflow", "github_flow", "gitlab_flow", "trunk_based"]
default: "github_flow"
steps:
- name: analyze_project
type: project_analyzer
inputs:
path: "{{ project_path }}"
config:
detect:
- languages
- frameworks
- build_tools
- test_frameworks
- dependencies
- existing_ci_config
analyze_structure:
- monorepo_detection
- service_boundaries
- shared_libraries
outputs:
- project_analysis
- technology_stack
- project_structure
- name: design_pipeline_architecture
type: pipeline_architect
inputs:
project: "{{ project_analysis }}"
platform: "{{ ci_platform }}"
targets: "{{ deployment_targets }}"
branching: "{{ branching_strategy }}"
config:
design_principles:
- fail_fast
- parallel_execution
- caching_optimization
- security_first
- progressive_deployment
include_stages:
- build
- test
- security_scan
- quality_check
- package
- deploy
- smoke_test
- rollback
outputs:
- pipeline_design
- stage_dependencies
- optimization_points
- name: generate_build_stage
type: build_stage_generator
inputs:
stack: "{{ technology_stack }}"
structure: "{{ project_structure }}"
config:
optimize_for:
- build_speed
- cache_efficiency
- artifact_size
include:
- dependency_caching
- parallel_builds
- incremental_compilation
- multi_stage_docker
outputs:
- build_configuration
- cache_strategy
- artifact_definitions
- name: generate_test_stage
type: test_stage_generator
inputs:
test_frameworks: "{{ technology_stack.test_frameworks }}"
coverage_threshold: "{{ quality_gates.test_coverage_threshold }}"
config:
test_types:
- unit
- integration
- e2e
- performance
- accessibility
parallel_execution: true
test_splitting: true
retry_flaky_tests: true
coverage_reporting: true
outputs:
- test_configuration
- parallel_jobs
- coverage_config
- name: generate_security_stage
type: security_stage_generator
when: "{{ quality_gates.security_scan_required }}"
inputs:
stack: "{{ technology_stack }}"
security_framework: "{{ metadata.security_frameworks[0] }}"
config:
scan_types:
- sast
- dependency_check
- container_scan
- secrets_scan
- license_compliance
tools:
sast:
- sonarqube
- semgrep
- codeql
dependency:
- snyk
- dependabot
- owasp_dependency_check
container:
- trivy
- grype
- twistlock
fail_on_severity: "high"
outputs:
- security_configuration
- scan_policies
- compliance_checks
- name: generate_deployment_stage
type: deployment_stage_generator
inputs:
targets: "{{ deployment_targets }}"
branching: "{{ branching_strategy }}"
config:
deployment_strategies:
production:
- blue_green
- canary
- rolling_update
staging:
- direct_deployment
development:
- continuous_deployment
include:
- health_checks
- smoke_tests
- rollback_automation
- deployment_notifications
outputs:
- deployment_configuration
- environment_configs
- rollback_procedures
- name: create_pipeline_config
type: pipeline_config_generator
inputs:
platform: "{{ ci_platform }}"
design: "{{ pipeline_design }}"
build: "{{ build_configuration }}"
test: "{{ test_configuration }}"
security: "{{ security_configuration | default({}) }}"
deployment: "{{ deployment_configuration }}"
config:
platform_specific:
github_actions:
syntax: "yaml"
file_path: ".github/workflows"
features:
- matrix_builds
- reusable_workflows
- environments
- secrets_management
gitlab_ci:
syntax: "yaml"
file_path: ".gitlab-ci.yml"
features:
- includes
- extends
- rules
- artifacts
jenkins:
syntax: "groovy"
file_path: "Jenkinsfile"
features:
- declarative_pipeline
- shared_libraries
- parallel_stages
optimize:
- job_parallelization
- cache_reuse
- conditional_execution
outputs:
- pipeline_config_files
- environment_variables
- secrets_requirements
- name: generate_infrastructure_code
type: iac_generator
inputs:
deployment_targets: "{{ deployment_targets }}"
pipeline_requirements: "{{ pipeline_design.infrastructure_needs }}"
config:
iac_tools:
- terraform
- cloudformation
- pulumi
resources:
- ci_runners
- artifact_storage
- container_registries
- deployment_environments
- monitoring_infrastructure
outputs:
- infrastructure_code
- tfvars_templates
- deployment_scripts
- name: create_quality_dashboards
type: dashboard_generator
inputs:
pipeline: "{{ pipeline_design }}"
metrics: "{{ quality_gates }}"
config:
dashboard_types:
- build_status
- test_coverage
- deployment_frequency
- lead_time
- mttr
- security_posture
integrations:
- grafana
- datadog
- prometheus
outputs:
- dashboard_configs
- metric_queries
- alert_rules
- name: generate_documentation
type: pipeline_doc_generator
inputs:
pipeline: "{{ pipeline_config_files }}"
architecture: "{{ pipeline_design }}"
infrastructure: "{{ infrastructure_code }}"
config:
documentation_sections:
- architecture_overview
- setup_instructions
- branching_workflow
- deployment_process
- troubleshooting_guide
- security_practices
- monitoring_guide
include_diagrams: true
runbook_generation: true
outputs:
- pipeline_documentation
- runbooks
- architecture_diagrams
outputs:
ci_cd_package:
type: complete_ci_cd_setup
includes:
- pipeline_configs
- infrastructure_code
- documentation
- dashboard_configs
- scripts
implementation_guide:
type: step_by_step_guide
includes:
- prerequisites
- setup_instructions
- testing_procedures
- migration_plan
security_report:
type: security_assessment
includes:
- scan_configurations
- compliance_mappings
- risk_assessment
2. Deployment Pipeline
Purpose
Automate application deployment across multiple environments with advanced deployment strategies, health checks, and rollback capabilities.
Configuration Structure
name: deployment_pipeline
version: "2.0"
type: devops
description: "Multi-environment deployment with progressive rollout strategies"
metadata:
category: devops
sub_category: deployment
deployment_strategies: ["blue_green", "canary", "rolling", "recreate"]
platforms: ["kubernetes", "ecs", "lambda", "vm_based"]
inputs:
application_name:
type: string
required: true
artifact_source:
type: object
required: true
properties:
type:
type: string
enum: ["container_registry", "s3", "artifact_registry", "git"]
location:
type: string
version:
type: string
target_environment:
type: string
enum: ["development", "staging", "production"]
required: true
deployment_strategy:
type: string
enum: ["blue_green", "canary", "rolling", "recreate"]
default: "rolling"
platform_config:
type: object
properties:
type:
type: string
enum: ["kubernetes", "ecs", "lambda", "vm_based"]
cluster:
type: string
namespace:
type: string
region:
type: string
steps:
- name: validate_prerequisites
type: deployment_validator
inputs:
artifact: "{{ artifact_source }}"
environment: "{{ target_environment }}"
platform: "{{ platform_config }}"
config:
checks:
- artifact_exists
- environment_ready
- permissions_valid
- resource_quotas
- dependency_services
- network_connectivity
outputs:
- validation_results
- environment_state
- name: prepare_deployment_plan
type: deployment_planner
inputs:
strategy: "{{ deployment_strategy }}"
current_state: "{{ environment_state }}"
target_platform: "{{ platform_config }}"
config:
calculate:
- resource_requirements
- deployment_phases
- traffic_shifting_plan
- rollback_points
- health_check_intervals
risk_assessment: true
capacity_planning: true
outputs:
- deployment_plan
- resource_allocation
- timeline_estimate
- name: create_deployment_manifests
type: manifest_generator
inputs:
application: "{{ application_name }}"
artifact: "{{ artifact_source }}"
platform: "{{ platform_config }}"
plan: "{{ deployment_plan }}"
config:
templates:
kubernetes:
- deployment
- service
- ingress
- configmap
- hpa
- pdb
ecs:
- task_definition
- service
- target_group
- auto_scaling
include:
- resource_limits
- health_checks
- environment_variables
- secrets_references
- labels_and_annotations
outputs:
- deployment_manifests
- configuration_maps
- secret_references
- name: setup_monitoring
type: monitoring_configurator
inputs:
application: "{{ application_name }}"
environment: "{{ target_environment }}"
platform: "{{ platform_config }}"
config:
metrics:
- application_metrics
- infrastructure_metrics
- custom_business_metrics
monitoring_stack:
- prometheus
- grafana
- alertmanager
- jaeger
alerts:
- error_rate_threshold
- latency_threshold
- resource_utilization
- availability_sla
outputs:
- monitoring_config
- dashboard_urls
- alert_rules
- name: execute_deployment
type: deployment_executor
inputs:
manifests: "{{ deployment_manifests }}"
strategy: "{{ deployment_strategy }}"
platform: "{{ platform_config }}"
config:
execution_mode: "{{ deployment_plan.phases }}"
health_check_config:
initial_delay: 30
interval: 10
timeout: 5
success_threshold: 3
failure_threshold: 3
traffic_management:
initial_traffic: 0
increment: 10
increment_interval: 300
success_criteria:
error_rate: 0.01
latency_p99: 500
enable_auto_rollback: true
outputs:
- deployment_status
- instance_details
- traffic_distribution
- name: run_smoke_tests
type: test_executor
inputs:
endpoints: "{{ instance_details.endpoints }}"
test_suite: "smoke_tests"
config:
test_types:
- endpoint_availability
- basic_functionality
- integration_points
- performance_baseline
parallel_execution: true
timeout: 300
retry_failed: 2
outputs:
- test_results
- performance_metrics
- failure_analysis
- name: progressive_rollout
type: traffic_controller
when: "{{ deployment_strategy in ['canary', 'blue_green'] }}"
inputs:
deployment: "{{ deployment_status }}"
test_results: "{{ test_results }}"
monitoring_data: "{{ monitoring_config }}"
config:
canary_stages:
- percentage: 5
duration: 300
success_criteria:
error_rate: 0.01
latency_p99: 500
- percentage: 25
duration: 600
success_criteria:
error_rate: 0.005
latency_p99: 400
- percentage: 50
duration: 900
- percentage: 100
duration: 0
automated_analysis: true
manual_approval_points: ["25%", "50%"]
outputs:
- rollout_progress
- traffic_metrics
- decision_points
- name: update_load_balancer
type: load_balancer_configurator
inputs:
deployment: "{{ deployment_status }}"
traffic_plan: "{{ rollout_progress | default(deployment_plan.traffic_shifting_plan) }}"
config:
load_balancer_types:
- application_lb
- network_lb
- global_lb
update_strategies:
- dns_weighted_routing
- target_group_shifting
- header_based_routing
health_check_grace_period: 60
outputs:
- lb_configuration
- traffic_distribution
- endpoint_mappings
- name: finalize_deployment
type: deployment_finalizer
inputs:
deployment: "{{ deployment_status }}"
test_results: "{{ test_results }}"
monitoring: "{{ monitoring_config }}"
config:
finalization_tasks:
- cleanup_old_versions
- update_documentation
- notify_stakeholders
- update_cmdb
- archive_artifacts
- generate_reports
retention_policy:
previous_versions: 3
logs_retention: 30
metrics_retention: 90
outputs:
- deployment_summary
- cleanup_report
- notification_status
outputs:
deployment_report:
type: comprehensive_report
includes:
- deployment_timeline
- resource_utilization
- test_results
- performance_metrics
- incident_log
rollback_plan:
type: emergency_procedures
includes:
- rollback_commands
- state_snapshots
- contact_information
- escalation_path
operational_handoff:
type: operations_package
includes:
- monitoring_dashboards
- alert_configurations
- runbook_references
- troubleshooting_guide
3. Monitoring Setup Pipeline
Purpose
Establish comprehensive monitoring, logging, and alerting infrastructure with intelligent threshold configuration and anomaly detection.
Configuration Structure
name: monitoring_setup_pipeline
version: "2.0"
type: devops
description: "Comprehensive observability stack setup with intelligent alerting"
metadata:
category: devops
sub_category: monitoring
observability_pillars: ["metrics", "logs", "traces", "events"]
monitoring_stacks: ["prometheus_grafana", "elk", "datadog", "new_relic"]
inputs:
infrastructure_inventory:
type: object
required: true
properties:
servers:
type: array
items:
type: object
containers:
type: array
items:
type: object
serverless:
type: array
items:
type: object
databases:
type: array
items:
type: object
monitoring_stack:
type: string
enum: ["prometheus_grafana", "elk", "datadog", "new_relic", "custom"]
required: true
alerting_channels:
type: array
items:
type: object
properties:
type:
type: string
enum: ["email", "slack", "pagerduty", "webhook", "sms"]
config:
type: object
sla_requirements:
type: object
properties:
availability:
type: number
default: 99.9
response_time_p99:
type: number
default: 1000
error_rate:
type: number
default: 0.1
steps:
- name: analyze_infrastructure
type: infrastructure_analyzer
inputs:
inventory: "{{ infrastructure_inventory }}"
config:
discover:
- service_dependencies
- communication_patterns
- data_flows
- critical_paths
- single_points_of_failure
classify:
- tier_1_critical
- tier_2_important
- tier_3_standard
outputs:
- infrastructure_map
- service_topology
- criticality_matrix
- name: design_monitoring_architecture
type: monitoring_architect
inputs:
infrastructure: "{{ infrastructure_map }}"
stack: "{{ monitoring_stack }}"
sla: "{{ sla_requirements }}"
config:
design_principles:
- high_availability
- scalability
- data_retention
- query_performance
- cost_optimization
components:
- collectors
- aggregators
- storage
- visualization
- alerting
outputs:
- monitoring_architecture
- component_sizing
- network_topology
- name: generate_collection_configs
type: collector_config_generator
inputs:
targets: "{{ infrastructure_inventory }}"
architecture: "{{ monitoring_architecture }}"
config:
collectors:
metrics:
- prometheus_node_exporter
- prometheus_blackbox_exporter
- custom_exporters
logs:
- filebeat
- fluentd
- vector
traces:
- jaeger_agent
- otel_collector
collection_intervals:
high_frequency: 15s
normal: 60s
low_frequency: 300s
outputs:
- collector_configurations
- scrape_configs
- pipeline_definitions
- name: setup_metric_collection
type: metric_system_setup
inputs:
architecture: "{{ monitoring_architecture }}"
collectors: "{{ collector_configurations }}"
config:
metric_types:
- system_metrics
- application_metrics
- business_metrics
- custom_metrics
aggregation_rules:
- rate_calculations
- percentile_aggregations
- moving_averages
- seasonal_adjustments
retention_policies:
raw: "7d"
5m_aggregates: "30d"
1h_aggregates: "365d"
outputs:
- prometheus_config
- recording_rules
- retention_config
- name: setup_log_aggregation
type: logging_system_setup
inputs:
sources: "{{ infrastructure_inventory }}"
pipeline: "{{ pipeline_definitions }}"
config:
log_processing:
- parsing_rules
- enrichment
- filtering
- anonymization
indexing_strategy:
- time_based_indices
- data_streams
- ilm_policies
search_optimization:
- field_mappings
- index_templates
- search_templates
outputs:
- elasticsearch_config
- logstash_pipelines
- kibana_config
- name: configure_distributed_tracing
type: tracing_setup
inputs:
services: "{{ service_topology }}"
architecture: "{{ monitoring_architecture }}"
config:
tracing_strategy:
- sampling_rates
- trace_propagation
- context_injection
- span_enrichment
storage_backend:
- elasticsearch
- cassandra
- in_memory
analysis_features:
- service_maps
- latency_analysis
- error_tracking
- dependency_graphs
outputs:
- tracing_config
- instrumentation_guide
- sampling_policies
- name: create_dashboards
type: dashboard_generator
inputs:
metrics: "{{ prometheus_config }}"
logs: "{{ kibana_config }}"
traces: "{{ tracing_config }}"
sla: "{{ sla_requirements }}"
config:
dashboard_types:
- executive_overview
- service_health
- infrastructure_status
- performance_analytics
- cost_tracking
- security_posture
visualization_types:
- time_series
- heatmaps
- topology_maps
- tables
- single_stats
interactivity:
- drill_downs
- variable_templates
- annotations
- links
outputs:
- grafana_dashboards
- kibana_dashboards
- custom_visualizations
- name: setup_intelligent_alerting
type: alerting_configurator
inputs:
metrics: "{{ recording_rules }}"
sla: "{{ sla_requirements }}"
channels: "{{ alerting_channels }}"
criticality: "{{ criticality_matrix }}"
config:
alert_types:
- threshold_based
- rate_of_change
- anomaly_detection
- prediction_based
- composite_alerts
ml_features:
- baseline_learning
- seasonality_detection
- anomaly_scoring
- forecast_alerts
alert_routing:
- severity_based
- team_based
- time_based
- escalation_policies
outputs:
- alert_rules
- ml_models
- routing_config
- runbook_links
- name: implement_slo_monitoring
type: slo_configurator
inputs:
services: "{{ service_topology }}"
sla: "{{ sla_requirements }}"
metrics: "{{ prometheus_config }}"
config:
slo_types:
- availability
- latency
- error_rate
- throughput
error_budget_policies:
- calculation_method
- burn_rate_alerts
- budget_policies
- freeze_conditions
reporting:
- slo_dashboards
- error_budget_reports
- trend_analysis
outputs:
- slo_definitions
- error_budgets
- slo_alerts
- name: setup_automation
type: automation_configurator
inputs:
alerts: "{{ alert_rules }}"
infrastructure: "{{ infrastructure_map }}"
config:
auto_remediation:
- restart_services
- scale_resources
- clear_disk_space
- rotate_logs
- update_configurations
playbook_triggers:
- alert_based
- scheduled
- event_driven
safety_controls:
- approval_required
- dry_run_mode
- rollback_capability
- audit_logging
outputs:
- automation_playbooks
- webhook_configs
- audit_policies
outputs:
monitoring_package:
type: complete_monitoring_setup
includes:
- architecture_diagrams
- configuration_files
- dashboards
- alert_rules
- automation_playbooks
operational_guide:
type: documentation_package
includes:
- setup_instructions
- dashboard_guide
- alert_response_procedures
- troubleshooting_guide
- maintenance_procedures
compliance_report:
type: audit_documentation
includes:
- data_retention_policies
- access_controls
- encryption_status
- regulatory_mappings
4. Infrastructure Pipeline
Purpose
Generate Infrastructure as Code (IaC) for complete application environments including compute, networking, storage, and security configurations.
Configuration Structure
name: infrastructure_pipeline
version: "2.0"
type: devops
description: "IaC generation for cloud-native infrastructure with security best practices"
metadata:
category: devops
sub_category: infrastructure
iac_tools: ["terraform", "cloudformation", "pulumi", "crossplane"]
cloud_providers: ["aws", "azure", "gcp", "multi_cloud"]
inputs:
application_requirements:
type: object
required: true
properties:
compute:
type: object
properties:
type:
type: string
enum: ["containers", "vms", "serverless", "hybrid"]
scaling:
type: object
performance:
type: string
storage:
type: object
properties:
types:
type: array
capacity:
type: string
performance:
type: string
networking:
type: object
properties:
topology:
type: string
security_zones:
type: array
external_access:
type: boolean
cloud_provider:
type: string
enum: ["aws", "azure", "gcp", "multi_cloud"]
required: true
environment_type:
type: string
enum: ["development", "staging", "production", "dr"]
required: true
compliance_requirements:
type: array
items:
type: string
enum: ["hipaa", "pci_dss", "sox", "gdpr", "fedramp"]
default: []
budget_constraints:
type: object
properties:
monthly_limit:
type: number
optimization_priority:
type: string
enum: ["performance", "cost", "balanced"]
steps:
- name: analyze_requirements
type: requirements_analyzer
inputs:
app_requirements: "{{ application_requirements }}"
compliance: "{{ compliance_requirements }}"
budget: "{{ budget_constraints }}"
config:
analysis_dimensions:
- resource_sizing
- availability_requirements
- performance_targets
- security_controls
- compliance_mappings
- cost_modeling
outputs:
- infrastructure_requirements
- compliance_controls
- cost_estimates
- name: design_architecture
type: cloud_architect
inputs:
requirements: "{{ infrastructure_requirements }}"
provider: "{{ cloud_provider }}"
environment: "{{ environment_type }}"
config:
architecture_patterns:
- high_availability
- disaster_recovery
- auto_scaling
- multi_region
- edge_computing
security_patterns:
- zero_trust
- defense_in_depth
- encryption_everywhere
- least_privilege
include_services:
- compute_layer
- data_layer
- networking_layer
- security_layer
- observability_layer
outputs:
- architecture_design
- service_selection
- network_topology
- name: generate_network_infrastructure
type: network_iac_generator
inputs:
design: "{{ architecture_design.networking }}"
provider: "{{ cloud_provider }}"
security_zones: "{{ application_requirements.networking.security_zones }}"
config:
network_components:
- vpc_or_vnet
- subnets
- route_tables
- nat_gateways
- load_balancers
- vpn_connections
- peering
security_components:
- security_groups
- network_acls
- waf_rules
- ddos_protection
dns_configuration:
- private_zones
- public_zones
- record_sets
outputs:
- network_iac
- security_rules
- dns_configuration
- name: generate_compute_infrastructure
type: compute_iac_generator
inputs:
design: "{{ architecture_design.compute }}"
requirements: "{{ application_requirements.compute }}"
network: "{{ network_iac }}"
config:
compute_types:
containers:
- eks_cluster
- node_groups
- fargate_profiles
- service_mesh
vms:
- instance_templates
- auto_scaling_groups
- placement_groups
- dedicated_hosts
serverless:
- lambda_functions
- api_gateway
- step_functions
- event_bridge
configuration_management:
- user_data_scripts
- cloud_init
- ansible_playbooks
- configuration_drift
outputs:
- compute_iac
- scaling_policies
- placement_strategies
- name: generate_data_infrastructure
type: data_iac_generator
inputs:
requirements: "{{ application_requirements.storage }}"
design: "{{ architecture_design.data }}"
compliance: "{{ compliance_controls }}"
config:
storage_types:
- object_storage
- block_storage
- file_storage
- database_storage
database_services:
- rds_instances
- nosql_databases
- data_warehouses
- cache_clusters
data_protection:
- encryption_at_rest
- encryption_in_transit
- backup_policies
- snapshot_schedules
- replication
outputs:
- storage_iac
- database_iac
- backup_configuration
- name: generate_security_infrastructure
type: security_iac_generator
inputs:
architecture: "{{ architecture_design }}"
compliance: "{{ compliance_controls }}"
services: "{{ service_selection }}"
config:
identity_management:
- iam_roles
- service_accounts
- federation
- mfa_policies
secrets_management:
- secret_stores
- key_rotation
- certificate_management
compliance_controls:
- audit_logging
- config_rules
- security_hub
- compliance_scanning
threat_protection:
- ids_ips
- vulnerability_scanning
- incident_response
outputs:
- security_iac
- iam_policies
- compliance_config
- name: generate_observability_infrastructure
type: observability_iac_generator
inputs:
architecture: "{{ architecture_design }}"
services: "{{ service_selection }}"
config:
monitoring_stack:
- metrics_collection
- log_aggregation
- distributed_tracing
- synthetic_monitoring
cost_management:
- budget_alerts
- cost_allocation_tags
- reserved_capacity
- spot_management
automation:
- auto_remediation
- scaling_automation
- backup_automation
outputs:
- observability_iac
- tagging_strategy
- automation_rules
- name: optimize_for_cost
type: cost_optimizer
inputs:
infrastructure: "{{ [network_iac, compute_iac, storage_iac, database_iac] }}"
budget: "{{ budget_constraints }}"
priority: "{{ budget_constraints.optimization_priority }}"
config:
optimization_strategies:
- right_sizing
- reserved_instances
- spot_instances
- auto_scaling
- scheduled_scaling
- storage_tiering
cost_analysis:
- current_estimate
- optimization_potential
- roi_calculation
recommendations:
- immediate_savings
- long_term_savings
- architecture_changes
outputs:
- optimized_iac
- cost_report
- savings_recommendations
- name: validate_infrastructure
type: iac_validator
inputs:
iac_code: "{{ optimized_iac }}"
requirements: "{{ infrastructure_requirements }}"
compliance: "{{ compliance_controls }}"
config:
validation_types:
- syntax_check
- security_scanning
- compliance_check
- best_practices
- cost_validation
tools:
- terraform_validate
- tfsec
- checkov
- infracost
- opa_policies
outputs:
- validation_report
- security_findings
- compliance_gaps
- name: generate_deployment_package
type: deployment_packager
inputs:
iac: "{{ optimized_iac }}"
validation: "{{ validation_report }}"
config:
package_contents:
- terraform_modules
- variable_files
- backend_config
- provider_config
- makefile
- documentation
environments:
- development
- staging
- production
ci_integration:
- github_actions
- gitlab_ci
- jenkins
outputs:
- deployment_package
- environment_configs
- ci_templates
outputs:
infrastructure_package:
type: complete_iac_package
includes:
- terraform_code
- environment_configurations
- deployment_scripts
- documentation
- architecture_diagrams
cost_analysis:
type: financial_report
includes:
- current_costs
- projected_costs
- optimization_opportunities
- budget_compliance
security_assessment:
type: security_report
includes:
- security_controls
- compliance_mappings
- vulnerability_findings
- remediation_recommendations
Reusable Components
1. CI/CD Components
Pipeline Stage Generator
component: pipeline_stage_generator
type: ci_cd
description: "Generate CI/CD pipeline stages"
inputs:
stage_type: string
technology_stack: object
quality_requirements: object
config:
stage_templates:
- build
- test
- security
- deploy
- validate
outputs:
stage_configuration: object
parallel_jobs: array
dependencies: array
Security Scanner Component
component: security_scanner
type: devsecops
description: "Integrate security scanning into pipelines"
inputs:
scan_type: string
target: string
severity_threshold: string
config:
scanners:
sast:
- sonarqube
- semgrep
- codeql
dast:
- zap
- burp
container:
- trivy
- grype
outputs:
vulnerabilities: array
compliance_status: object
remediation_suggestions: array
2. Infrastructure Components
Resource Calculator
component: resource_calculator
type: infrastructure
description: "Calculate optimal resource allocation"
inputs:
application_profile: object
performance_requirements: object
budget_constraints: object
config:
calculation_factors:
- peak_load
- average_load
- growth_projection
- redundancy_needs
- cost_optimization
outputs:
resource_recommendations: object
scaling_parameters: object
cost_estimates: object
Network Designer
component: network_designer
type: infrastructure
description: "Design cloud network topology"
inputs:
security_zones: array
connectivity_requirements: object
compliance_needs: array
config:
design_patterns:
- hub_spoke
- mesh
- segmented
- zero_trust
outputs:
network_topology: object
security_rules: array
routing_tables: array
3. Monitoring Components
Threshold Calculator
component: threshold_calculator
type: monitoring
description: "Calculate intelligent alert thresholds"
inputs:
metric_history: array
sla_requirements: object
business_cycles: object
config:
calculation_methods:
- statistical_analysis
- ml_prediction
- business_rules
- comparative_analysis
outputs:
thresholds: object
confidence_scores: object
adjustment_schedule: object
Integration Patterns
1. GitOps Integration
integration: gitops
platforms:
- argocd
- flux
- jenkins_x
configuration:
sync_policies:
- automatic
- manual_approval
- staged_rollout
drift_detection: true
auto_remediation: false
notification_channels:
- slack
- email
2. Cloud Provider Integration
integration: cloud_providers
supported:
- aws
- azure
- gcp
- digitalocean
features:
- native_service_integration
- cost_management_apis
- security_center_integration
- compliance_reporting
Performance Considerations
1. Pipeline Optimization
- Parallel job execution
- Intelligent caching strategies
- Incremental deployments
- Resource pooling
- Build artifact reuse
2. Infrastructure Efficiency
- Right-sizing automation
- Spot instance utilization
- Auto-scaling optimization
- Resource scheduling
- Cost anomaly detection
3. Monitoring Performance
- Metric aggregation strategies
- Efficient data retention
- Query optimization
- Sampling strategies
- Compression techniques
Security Best Practices
1. Pipeline Security
security_measures:
code_level:
- signed_commits
- dependency_scanning
- secret_scanning
- license_compliance
runtime_level:
- least_privilege_access
- temporary_credentials
- audit_logging
- anomaly_detection
2. Infrastructure Security
- Encryption by default
- Network segmentation
- Identity federation
- Compliance automation
- Security baseline enforcement
Future Enhancements
1. AI-Driven Operations
- Predictive scaling
- Anomaly detection
- Auto-remediation
- Capacity planning
- Cost optimization
2. Advanced Automation
- Self-healing infrastructure
- Chaos engineering integration
- Progressive delivery
- Feature flag management
- A/B testing infrastructure
3. Multi-Cloud Orchestration
- Cloud-agnostic deployments
- Cross-cloud networking
- Unified monitoring
- Cost optimization across clouds
- Disaster recovery automation