| Failure Tolerance (Failover, Global work scheduling, Failed task management) |
No defined failover strategy |
Basic failover mechanisms in place |
Standard failover strategies implemented |
Proactive failure detection & mitigation |
Continuous optimizations of failure strategies |
| Scalability (Automatic scaling of available worker pool, Automatic dynamic resharding to effect balanced load across the pool, Load shedding/task prioritization) |
Manual scaling with limitations |
Limited automatic scaling capabilities |
Fully-automatic scaling |
Dynamic load balancing & resource management |
Advanced auto-scaling and load shedding |
| Monitoring & Debugging (Debugging tools and capabilities, Dashboards and visualizations) |
Limited monitoring, hard to debug issues |
Basic monitoring tools, manual debugging |
Improved dashboard & visualization |
Advanced monitoring & debugging tools |
Real-time monitoring and predictive analysis |
| Ease of Implementation & Transparency (Discoverability, Code, Documentation and best practices) |
Poor discoverability & documentation |
Some documentation & best practices |
Clear code organization & structure |
Well-documented & transparent processes |
Continuous improvement of documentation |
| Unit & Integration Testing (Unit testing framework, Ease of configuration, Support for integration testing frameworks) |
Limited unit and integration testing |
Basic testing framework in place |
Regular unit & integration testing |
CI/CD pipeline with automated testing |
Comprehensive test coverage & automation |
| Incident Management (Incident detection, Alerting, Incident response plans, Postmortems) |
Inefficient incident detection & handling |
Notification-based alerting & response |
Incident response plans & postmortems |
Automated incident detection & remediation |
AI-based incident prediction & prevention |
| Performance & Latency (Performance monitoring, Latency and throughput optimization, Bottleneck identification and remediation) |
Inefficient performance and high latency |
Limited performance optimization |
Regular optimization and performance reviews |
Advanced latency & throughput optimization |
Real-time performance monitoring & optimization |
| Security & Compliance (Vulnerability management, Secure coding practices, Data privacy and regulatory compliance) |
Limited security and compliance measures |
Basic security controls in place |
Improved compliance processes |
Proactive security audits & vulnerability management |
Advanced security and automated audits |
| Capacity Planning (Resource forecasting, Proactive capacity adjustments, Budget management and cost optimization) |
Ad hoc capacity forecasting & resource allocation |
Reactive capacity adjustments & budgeting |
Data-driven resource forecasting |
Proactive & predictive capacity planning |
Continuous cost optimization & resource efficiency |
| Infrastructure as Code (Infrastructure automation, Orchestration tools, Configuration management) |
Manual infrastructure configuration |
Basic infrastructure automation |
More consistent usage of infrastructure as code |
Advanced deployment automation & orchestration |
Fully automated & Self-healing infrastructure |
| Continuous Integration & Deployment (CI/CD pipelines, Build automation, Automated testing and validation) |
Slow, manual deployment processes |
Basic CI/CD pipelines |
Improved build automation & testing |
Automated deployment & rollback strategies |
Seamless Integration and continuous deployment |
| SLOs and SLAs (Defining SLOs and SLAs, Monitoring and reporting, Meeting reliability targets) |
Undefined or unrealistic expectations |
Some SLOs and SLAs in place |
Monitoring & reporting on SLOs and SLAs |
Meeting reliability targets consistently |
Regular review and optimization of SLOs and SLAs |
| Cloud-Native Architecture (Microservice architecture adoption, Containerization, Orchestration using Kubernetes or similar platforms) |
Monolithic applications, minimal containerization |
Adoption of microservices, limited containerization |
Cloud-native tools & platforms** (Kubernetes) |
Mature cloud-native architecture |
Advanced auto-scaling, container orchestration |
| Cross-Functional Collaboration (Communication between SRE and Development teams, Shared ownership and responsibility for reliability, Collaborative problem-solving) |
Siloed teams, limited collaboration |
Some communication between teams |
Regular collaboration & shared ownership |
Seamless cross-team problem-solving |
High levels of collaboration across all teams |
| Culture & Organizational Alignment (Embracing a blameless culture, Fostering a continuous improvement mindset, Alignment of goals and priorities across teams) |
Fragmented culture & misaligned goals |
Emerging culture of improvement |
Embracing a blameless culture |
Strong focus on continuous improvement |
Organization-wide alignment on reliability & goals |