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Glossary

Topics

AIOps
Application Security
Apps and Microservices
DevOps
Digital Experience
Infrastructure
Observability

A
- A/B testing
- AI monitoring
- AI observability
- AIOps
- Alerting
- Anomaly detection
- Apdex
- API monitoring
- APM
- Application mapping
- Application modernization
- Application programming interface (API) security
- Application topology discovery
- Artificial intelligence
- Autoscaling
- AWS Lambda
- Azure Functions
B
- BizDevOps
- Blue/green deployment
- Business analytics
C
- Canary deployment
- Change impact analysis
- Chargeback
- CIS Benchmarks
- Closed loop remediation
- Cloud automation
- Cloud computing
- Cloud cost modeling
- Cloud migration
- Cloud modernization
- Cloud monitoring
- Cloud security
- Cloud-native
- Cloud-native architecture
- CNAPP
- Code profiling
- Compliance
- Composite AI
- Configuration management
- Container as a Service
- Container monitoring
- Container orchestration
- Container security
- Continuous delivery
- Continuous integration
- Core web vitals
- CSPM
- Customer experience analytics
D
- Data lakehouse
- Data minimization
- Data observability
- Database monitoring
- Delivery pipelines
- Dependency mapping
- Deployment
- DevOps
- DevOps automation
- DevOps metrics
- DevOps orchestration
- DevSecOps
- Digital experience
- Digital experience monitoring
- Digital immunity
- Digital transformation
- DISA STIG
- Disaster recovery
- Distributed tracing
- DORA compliance
- DORA’s Four Keys
- Drift detection
E
- Error budget
- Event logs
- Everything as Code
- Exposure management
F
- Feature flagging
- FinOps
- Full-stack observability
- Function as a Service (FaaS)
G
- Generative AI
- Git
- GitOps
- Golden signals
- Google Cloud Functions
H
- High availability
- Hybrid cloud
- Hyperconverged infrastructure
- Hyperscale computing
I
- Identity and access management (IAM)
- Incident management
- Infrastructure as a Service (IaaS)
- Infrastructure as Code
- Infrastructure monitoring
- Integrated development environment (IDE)
- Interactive application security tests (IAST)
- Internal developer platforms
- IT automation
- ITOps
K
- Keptn
- Kubernetes
- Kubernetes architecture
L
- LLM monitoring
- LLM observability
- Log aggregation
- Log analysis
- Log analytics
- Log management
- Log monitoring
- Log parsing
- Log preparation
- Log4Shell
M
- Message queue
- Microservices
- Microsoft Azure
- Mobile app monitoring
- Monaco
- Monitoring
- MTTR
N
- Network performance monitoring
O
- Observability
- Observability engineering
- Open observability
- OpenCensus
- OpenLLMetry
- OpenShift
- OpenTelemetry
- OpenTracing
- Orchestration
- OTLP
P
- Penetration testing
- Performance monitoring
- Platform as a Service (PaaS)
- Platform engineering
- Problem remediation
- Progressive delivery
- Prometheus
Q
- Quality gates
R
- Real user monitoring
- Release
- Release validation
- Resiliency engineering
- Risk assessment
- Root-cause analysis
S
- Scalability
- SecDevOps
- Secure coding
- Security
- Security analytics
- Security by design
- Security operations center (SOC)
- Serverless monitoring
- Service discovery
- Service mesh
- Session replay
- Shift left
- Shift right
- SIEM
- Site reliability engineering
- SLA
- SLI
- SLO
- Software composition analysis
- Software quality
- Software supply chain security
- Spring4Shell
- Synthetic monitoring
T
- Telegram
- Telemetry data
- Telemetry pipeline
- Test automation
- Threat
- Threat intelligence
- Threat modeling
- Tool sprawl
- Toolchain orchestration
V
- Virtualization
- Vulnerability
- Vulnerability assessment
- Vulnerability management
W
- Web application security
Z
- Zero-day vulnerability