Most Asked SRE Interview Questions [2025 Updated]

SRE Fundamentals

1. What is the primary role of an SRE in an organization?

Site Reliability Engineering (SRE) applies software engineering to operations, ensuring system reliability, scalability, and performance. SREs define SLOs, manage incidents, automate tasks, and monitor infrastructure with tools like Prometheus. In enterprises, they bridge development and operations, reducing toil and improving availability, critical for maintaining high-uptime services across distributed systems.

Explore SRE roles in SRE role in DevOps.

2. Why do companies hire SREs?

• Reliability: Ensures high system uptime and stability.
• Automation: Reduces manual operations and errors.
• Scalability: Handles growing workloads efficiently.
• Incident Response: Minimizes downtime impact quickly.
• Observability: Provides deep system insights and alerts.
• Compliance: Meets regulatory standards and audits.
• Cost Efficiency: Optimizes resource use and budgets.

SREs drive operational excellence and business continuity in enterprises.

3. When does an SRE intervene in production?

SREs intervene in production when SLOs are breached, such as error rates exceeding 0.1% or latency spikes. They use runbooks for initial response, isolate issues, and coordinate fixes to restore service.

Interventions prioritize minimal disruption in enterprise systems.

4. Where does SRE fit in the DevOps culture?

SRE fits in DevOps by promoting shared responsibility for reliability, using tools like GitLab for CI/CD. It emphasizes automation over toil, aligning with enterprise goals for efficient, collaborative operations and continuous improvement.

5. Who collaborates with SREs in enterprises?

• DevOps Engineers: Automate deployments and pipelines.
• Developers: Build reliable code with SRE feedback.
• Ops Teams: Manage infrastructure and monitoring.
• Security Teams: Ensure compliance and scans.
• Product Managers: Define SLOs and priorities.
• QA Teams: Validate releases and tests.
• Business Stakeholders: Align on reliability goals.

Collaboration enhances enterprise system reliability.

6. Which SRE principles from Google are widely adopted?

Google's SRE principles, including error budgets and toil reduction, are adopted for balancing innovation with reliability. They guide enterprise practices, emphasizing automation, SLOs, and blameless postmortems to achieve sustainable operations.

7. How do SREs define success metrics?

SREs define success with SLOs based on SLIs like availability and latency, tracked using Prometheus. They implement error budgets to allow controlled failures, ensuring enterprise systems meet user expectations while fostering innovation.

• SLOs: Target reliability levels.
• SLIs: Measurable performance indicators.
• Error Budgets: Balance innovation and stability.
• Monitoring: Tools like Grafana for visualization.
• Alerts: Threshold-based notifications.
• Postmortems: Learn from incidents.
• Automation: Reduce manual toil.

8. What tools do SREs use for monitoring?

• Prometheus: Time-series metrics collection.
• Grafana: Interactive dashboard visualization.
• ELK Stack: Log aggregation and analysis.
• Jaeger: Distributed tracing for services.
• Alertmanager: Notification routing and silencing.
• Datadog: Unified cloud observability.
• New Relic: Application performance monitoring.

These tools provide comprehensive enterprise observability.

9. Why is error budget important for SREs?

Error budget allows controlled failures, calculated as 100% - SLO, permitting innovation without compromising reliability. It guides release decisions, ensuring enterprise teams prioritize stability while allowing velocity in development cycles.

• Balance: Innovation vs. stability.
• Measurement: Quantifies allowable downtime.
• Decision-Making: Gates deployments.
• Team Alignment: Shared reliability goals.
• Postmortems: Improve processes.
• Scalability: Adapts to enterprise growth.

Explore error budgets in SLO alignment.

10. When do SREs conduct postmortems?

SREs conduct postmortems after incidents breaching SLOs, documenting root causes, actions, and improvements. They promote blameless culture, sharing lessons to prevent recurrence in enterprise systems.

11. Where do SREs document runbooks?

SREs document runbooks in GitLab wikis or Confluence, detailing incident response steps, commands, and escalation contacts. This ensures quick access during emergencies, enhancing enterprise reliability and response times.

12. Who participates in SRE on-call rotations?

SRE on-call rotations involve engineers from DevOps and operations, scheduled via PagerDuty. They ensure 24/7 coverage, critical for enterprise high-availability systems and minimal downtime.

13. Which SRE metric measures system availability?

The availability SLI measures uptime percentage, calculated as (total time - downtime) / total time. It informs SLOs, guiding enterprise monitoring and reliability improvements.

14. How do SREs reduce toil?

SREs reduce toil by automating repetitive tasks with scripts in GitLab CI/CD, like Ansible playbooks for deployments. They identify high-impact automation opportunities, freeing time for strategic work in enterprise operations.

automate-task: stage: automate script: - ansible-playbook -i inventory playbook.yml

15. What is the difference between SRE and DevOps?

SRE applies software engineering to operations, focusing on SLOs and error budgets, while DevOps emphasizes cultural collaboration. Both promote automation, but SRE quantifies reliability for enterprise systems, complementing DevOps practices.

• Focus: Reliability metrics vs. cultural shift.
• Metrics: SLOs vs. team practices.
• Tools: Shared like GitLab CI/CD.
• Goals: Uptime vs. velocity.
• Roles: Overlapping in enterprises.
• Outcomes: Complementary reliability and speed.

16. Why do SREs use observability tools?

SREs use observability tools like Prometheus to gain insights into system health, detecting issues proactively. They ensure enterprise systems meet SLOs through metrics, logs, and traces, enabling data-driven decisions.

17. When do SREs declare an incident?

SREs declare an incident when SLOs are breached, such as error rates >0.1% or latency spikes. This activates response teams, ensuring enterprise service restoration and minimal impact.

Learn about incidents in incident response runbooks.

Monitoring and Observability

18. What is the purpose of SLIs in SRE?

SLIs measure system performance indicators like latency or error rate, providing data for SLOs. They guide enterprise monitoring, ensuring quantitative assessments of reliability and user experience.

19. Why are SLOs essential for enterprise systems?

SLOs set reliability targets, like 99.99% uptime, balancing user expectations with innovation. They inform error budgets, driving enterprise decisions on deployments and maintenance, ensuring consistent service levels.

• Expectations: Meets user satisfaction.
• Budgets: Allows controlled failures.
• Decisions: Gates releases effectively.
• Alignment: Team and business goals.
• Measurement: Tracks progress accurately.
• Improvement: Guides post-incident actions.

20. When do error budgets get consumed?

Error budgets get consumed during outages or high error rates, calculated as 100% - SLO. They limit deployments, ensuring enterprise reliability focus and preventing excessive risk.

21. How do SREs set up monitoring dashboards?

SREs set up dashboards with Grafana, integrating Prometheus for metrics like CPU and latency. Configure panels for SLOs, alerts for breaches, ensuring enterprise visibility and proactive management.

dashboard: datasource: Prometheus panels: - title: CPU Usage type: graph targets: - expr: rate(node_cpu_seconds_total[5m])

22. What is the role of alerting in SRE?

Alerting notifies teams of SLO violations, configured with Alertmanager for Prometheus. It routes to PagerDuty or Slack, ensuring timely enterprise response and minimal downtime.

23. Why use distributed tracing in SRE?

Distributed tracing with Jaeger identifies bottlenecks across services, essential for microservices. It provides end-to-end visibility, improving enterprise troubleshooting and performance optimization.

• Visibility: Full request flows.
• Debugging: Pinpoints failures.
• Performance: Latency analysis.
• Scalability: Handles distributed systems.
• Compliance: Audit traces.
• Automation: Integrates with CI/CD.

24. When to implement chaos engineering?

Implement chaos engineering to test resilience, using Chaos Toolkit in GitLab CI/CD. It's ideal for enterprise systems to simulate failures and validate recovery mechanisms.

25. Where do SREs store monitoring data?

SREs store monitoring data in Prometheus for metrics, ELK for logs, and Jaeger for traces. Centralize in Grafana for enterprise dashboards and comprehensive analysis.

Explore storage in observability vs. traditional.

26. Who defines monitoring thresholds?

SREs define monitoring thresholds based on SLOs, using Prometheus Alertmanager. Product teams provide business context, ensuring enterprise alignment with user needs and performance goals.

27. Which tools support SRE observability?

• Prometheus: Time-series metrics collection.
• Grafana: Interactive dashboard visualization.
• ELK Stack: Log aggregation and analysis.
• Jaeger: Distributed tracing for services.
• Alertmanager: Notification routing and silencing.
• Datadog: Unified cloud observability.
• New Relic: Application performance monitoring.

These tools provide comprehensive enterprise observability.

28. How do you configure alerts for SLO breaches?

Configure alerts with Prometheus rules for SLO breaches, defining queries like error_rate > 0.01. Route via Alertmanager to Slack or PagerDuty, ensuring enterprise rapid response and minimal downtime.

groups: - name: slo-alerts rules: - alert: HighErrorRate expr: rate(http_errors[5m]) > 0.01

29. What is the impact of poor observability?

Poor observability delays incident detection, increasing MTTR and downtime. It affects enterprise productivity, tested in certifications for SRE tools and practices to ensure proactive management.

30. Why use SLOs for capacity planning?

SLOs guide capacity planning by identifying reliability gaps, using metrics like latency. They ensure enterprise resources align with user expectations, preventing over-provisioning and optimizing costs.

31. When to review monitoring configurations?

Review monitoring configurations post-incident or quarterly, updating for new tools or SLO changes. This ensures enterprise response readiness and accuracy in observability setups.

• Post-Incident: Incorporate lessons learned.
• Quarterly: Align with business changes.
• Tool Updates: Verify compatibility.
• Team Feedback: Improve usability.
• Compliance: Meet regulatory needs.
• Testing: Simulate scenarios.
• Versioning: Track revisions.

32. How do you implement distributed tracing?

Implement distributed tracing with Jaeger, instrumenting code with OpenTelemetry. Integrate with GitLab CI/CD for trace collection, ensuring enterprise end-to-end visibility and troubleshooting.

33. What is the role of SLOs in postmortems?

SLOs in postmortems quantify incident impact, guiding improvements. They ensure blameless analysis, enhancing enterprise reliability through actionable insights and process refinements.

Learn about SLOs in SLO alignment.

Incident Management and Response

34. What steps follow an incident declaration?

After declaration, activate incident response with runbooks, notify on-call via PagerDuty, triage issues, isolate problems, and fix to restore service. Document for postmortems to improve enterprise processes and prevent recurrence.

35. Why conduct blameless postmortems?

Blameless postmortems encourage open discussion, focusing on processes rather than individuals. They identify root causes, prevent recurrence, and foster learning in enterprise teams, improving overall reliability.

• Learning: Systemic improvements.
• Culture: Encourages reporting.
• Compliance: Documented actions.
• Efficiency: Reduces future incidents.
• Teamwork: Shared responsibility.
• Scalability: Applies to large teams.

36. When to escalate an incident?

Escalate an incident when initial responders can't resolve within MTTR or impact grows beyond scope. Use PagerDuty for tiered alerts, ensuring enterprise coordination and rapid resolution.

37. How do you create effective runbooks?

Create runbooks in GitLab wikis with step-by-step procedures, including commands, escalation contacts, and diagrams. Version with Git, test periodically, ensuring enterprise quick response during incidents.

# Incident Runbook ## Step 1: Isolate kubectl scale deployment app --replicas=0

38. What is the role of on-call rotations?

On-call rotations ensure 24/7 coverage, scheduled via PagerDuty. They distribute workload, preventing burnout, and are critical for enterprise high-availability systems and minimal downtime.

39. Why use incident command systems?

Incident command systems coordinate responses, assigning roles like incident commander. They ensure structured communication, reducing confusion in enterprise incidents with multiple stakeholders.

40. When to declare a major incident?

Declare a major incident when multiple services are affected or SLOs are severely breached. This activates full response teams, ensuring enterprise-wide coordination and quick resolution.

41. How do you measure incident response effectiveness?

Measure effectiveness with MTTR, using metrics from PagerDuty. Analyze postmortems for improvements, ensuring enterprise response times meet SLOs and reduce future impacts.

Explore MTTR in incident response runbooks.

42. What is the impact of toil on SRE teams?

Toil, manual repetitive tasks, reduces productivity and innovation. SREs automate toil to focus on strategic work, ensuring enterprise operational efficiency and scalability.

43. Why prioritize incident prioritization?

Incident prioritization focuses resources on high-impact issues, using severity levels. It ensures enterprise teams address critical problems first, minimizing overall downtime and business loss.

44. How do you document incidents?

Document incidents in postmortems with root cause analysis, actions taken, and lessons learned. Use GitLab issues for tracking, ensuring enterprise knowledge sharing and process improvement.

45. What is the role of communication in incidents?

Communication keeps stakeholders informed using Slack or email during incidents. It reduces confusion, coordinates efforts, and ensures enterprise transparency and quick resolution.

Advanced SRE Practices

46. What is chaos engineering in SRE?

Chaos engineering tests system resilience by intentionally injecting failures, using tools like Chaos Toolkit. It simulates real-world disruptions, ensuring enterprise systems handle them gracefully, improving overall reliability.

47. Why use capacity planning in SRE?

Capacity planning predicts resource needs based on metrics like CPU usage, preventing outages. It ensures enterprise systems scale efficiently, optimizing costs and maintaining performance during growth.

48. When to automate SRE tasks?

Automate SRE tasks when toil exceeds 50%, using scripts in GitLab CI/CD for deployments. This frees time for innovation, ensuring enterprise operational efficiency and scalability.

• Toil Threshold: Manual task limits.
• Impact: High-repetition tasks.
• ROI: Time savings analysis.
• Compliance: Automated audits.
• Scalability: Handle growth.
• Testing: Validate automation.
• Documentation: Update runbooks.

Explore automation in immutable infrastructure.

49. How do SREs collaborate with developers?

SREs collaborate with developers through shared SLOs, code reviews, and joint postmortems. They provide feedback on reliability, ensuring enterprise code meets performance standards and integrates smoothly.

50. What is the role of SRE in cloud migrations?

SRE ensures reliability during cloud migrations, defining SLOs and monitoring with Prometheus. They automate with Terraform, minimizing risks and ensuring seamless transitions in enterprise environments.

51. Why define SLAs for external partners?

SLAs define expectations with partners, ensuring accountability for service levels. They guide contracts, maintaining enterprise compliance and performance in integrated systems.

52. When to review SRE runbooks?

Review SRE runbooks post-incident or quarterly, updating for new tools or processes. This ensures enterprise response readiness and accuracy in handling disruptions.

• Post-Incident: Incorporate lessons learned.
• Quarterly: Align with business changes.
• Tool Updates: Verify compatibility.
• Team Feedback: Improve usability.
• Compliance: Meet regulatory needs.
• Testing: Simulate scenarios.
• Versioning: Track revisions.

53. How do you measure SRE team effectiveness?

Measure SRE team effectiveness with MTTR, toil reduction percentage, and SLO achievement rates. Use surveys for team satisfaction, ensuring enterprise operational health and productivity improvements.

54. What is the impact of SRE on business outcomes?

SRE improves system uptime, reducing revenue loss from outages. It accelerates deployments, boosting innovation, and ensures compliance, driving enterprise business success and competitive advantage.

55. Why prioritize SRE observability?

Prioritize SRE observability to detect issues early with metrics, logs, and traces. It enables proactive fixes, ensuring enterprise system reliability, performance, and user satisfaction.

56. When to use SRE runbooks?

Use SRE runbooks during incidents for structured response, detailing steps, commands, and escalation contacts. They reduce resolution time, ensuring enterprise continuity and efficient handling of disruptions.

57. How do you balance reliability and innovation?

Balance reliability and innovation with error budgets, allowing failures within SLOs. This permits rapid development while maintaining stability, key for enterprise agility and certifications.

Explore balance in multi-cloud DevOps.

58. What is SRE's role in incident prevention?

SRE prevents incidents through proactive monitoring with Prometheus and automation via GitLab CI/CD. They analyze trends from logs and metrics, reducing MTTR and enhancing enterprise system reliability.

59. Why document SRE processes?

Document SRE processes in runbooks and wikis for knowledge sharing and consistency. It reduces toil, supports onboarding, and ensures compliance, critical for enterprise operations and team efficiency.

60. How do SREs handle on-call fatigue?

SREs handle on-call fatigue with scheduled rotations via PagerDuty, time off policies, and automation to minimize alerts. This prevents burnout, ensuring enterprise coverage and sustained team morale.

Fatigue management supports long-term reliability.

61. What tools support SRE incident response?

• PagerDuty: On-call scheduling and escalation.
• Slack: Team communication during incidents.
• PagerTree: Incident management platform.
• VictorOps: Alert routing and collaboration.
• Opsgenie: Escalation workflows and on-call.
• Runbooks: Step-by-step incident guides.
• Incident Commander: Role assignment tools.

These tools streamline enterprise incident responses.

62. Why use blameless postmortems?

Blameless postmortems focus on processes, encouraging open discussion to identify systemic issues. They prevent recurrence, improve reliability, and foster a learning culture in enterprise teams.

63. When to escalate incidents?

Escalate incidents when MTTR exceeds thresholds or impact grows beyond initial scope. Use PagerDuty for tiered alerts, ensuring enterprise coordination and rapid resolution.

64. How do you calculate MTTR?

Calculate MTTR as total downtime divided by the number of incidents, tracked with PagerDuty or Prometheus. Analyze trends to improve response times, ensuring enterprise efficiency and reduced business impact.

mttr = total_downtime / number_of_incidents

65. What is the role of incident command?

Incident command coordinates responses with defined roles like commander and communicator. It ensures structured communication, reducing confusion in enterprise incidents with multiple stakeholders.

Learn about command in incident runbooks.

Cloud and Integration Scenarios

66. What is SRE's role in cloud migrations?

SRE ensures reliability during cloud migrations, defining SLOs and monitoring with Prometheus. They automate with Terraform, minimizing risks and ensuring seamless transitions in enterprise environments.

67. Why use Kubernetes in SRE?

• Orchestration: Manages container deployments.
• Scalability: Auto-scales workloads dynamically.
• Resilience: Self-healing capabilities.
• Observability: Integrates with Prometheus.
• Compliance: Security policies enforcement.
• Automation: GitLab CI/CD integration.
• Cost Optimization: Resource efficiency.

Kubernetes enhances enterprise SRE practices.

68. When to implement multi-cloud SRE?

Implement multi-cloud SRE for vendor diversity, using tools like Terraform for IaC. It ensures enterprise resilience against outages and dependency risks.

Multi-cloud reduces single-vendor vulnerabilities.

69. How do you monitor cloud costs as SRE?

Monitor cloud costs with Prometheus metrics for resource usage, setting budgets in AWS Billing. Automate alerts for overspending, ensuring enterprise cost optimization and compliance.

70. What is the role of SRE in hybrid cloud?

SRE in hybrid cloud ensures consistency across on-prem and cloud, using unified monitoring. They automate with GitLab CI/CD, ensuring enterprise reliability and performance.

71. Why use Terraform for SRE?

Terraform automates infrastructure, ensuring reproducible environments. SREs use it in pipelines for compliance and scalability in enterprise cloud setups.

72. When to use SRE for serverless?

Use SRE for serverless to monitor functions with Prometheus, defining SLOs for latency. It ensures enterprise scalability without infrastructure management overhead.

73. How do you integrate SRE with DevSecOps?

Integrate SRE with DevSecOps by adding security scans in GitLab CI/CD pipelines, using SAST and DAST. Ensure SLOs include security metrics, ensuring enterprise compliance and reliability.

sast: stage: security include: - template: Security/SAST.gitlab-ci.yml

74. What is the impact of SRE on cloud costs?

SRE reduces cloud costs through capacity planning and automation, optimizing resources with metrics. They right-size instances, ensuring enterprise efficiency and budget control.

75. Why prioritize SRE in cloud-native?

Prioritize SRE in cloud-native for reliability in distributed systems, using Kubernetes for orchestration. It ensures enterprise resilience, performance, and scalability in containerized environments.

Explore cloud-native in Kubernetes provisioning.

76. How do SREs handle cloud outages?

SREs handle cloud outages with multi-region deployments and failover strategies. Monitor with Prometheus, automate recovery with Terraform, ensuring enterprise uptime and minimal disruption.

77. What is the role of SRE in observability?

SREs use observability to detect issues early, integrating Prometheus and Grafana. It ensures enterprise system health, proactive management, and data-driven improvements.

78. Why use SRE for edge computing?

SRE for edge computing ensures low-latency reliability, using distributed monitoring. It supports IoT scalability in enterprise environments with minimal central overhead.

79. When to use SRE runbooks?

Use SRE runbooks during incidents for structured response, detailing steps, commands, and escalation contacts. They reduce resolution time, ensuring enterprise continuity and efficient handling of disruptions.

80. How do you balance reliability and innovation?

Balance reliability and innovation with error budgets, allowing failures within SLOs. This permits rapid development while maintaining stability, key for enterprise agility and certifications.

81. What is SRE's role in incident prevention?

SRE prevents incidents through proactive monitoring with Prometheus and automation via GitLab CI/CD. They analyze trends from logs and metrics, reducing MTTR and enhancing enterprise system reliability.

Prevention focuses on systemic improvements.

Learn about prevention in AI-powered testing.

82. Why document SRE processes?

Document SRE processes in runbooks and wikis for knowledge sharing and consistency. It reduces toil, supports onboarding, and ensures compliance, critical for enterprise operations and team efficiency.

83. How do SREs handle on-call fatigue?

SREs handle on-call fatigue with scheduled rotations via PagerDuty, time off policies, and automation to minimize alerts. This prevents burnout, ensuring enterprise coverage and sustained team morale.

Fatigue management supports long-term reliability.

84. What tools support SRE incident response?

• PagerDuty: On-call scheduling and escalation.
• Slack: Team communication during incidents.
• PagerTree: Incident management platform.
• VictorOps: Alert routing and collaboration.
• Opsgenie: Escalation workflows and on-call.
• Runbooks: Step-by-step incident guides.
• Incident Commander: Role assignment tools.

These tools streamline enterprise incident responses.

85. Why use blameless postmortems?

Blameless postmortems focus on processes, encouraging open discussion to identify systemic issues. They prevent recurrence, improve reliability, and foster a learning culture in enterprise teams.

86. When to escalate incidents?

Escalate incidents when MTTR exceeds thresholds or impact grows beyond initial scope. Use PagerDuty for tiered alerts, ensuring enterprise coordination and rapid resolution.

87. How do you calculate MTTR?

Calculate MTTR as total downtime divided by the number of incidents, tracked with PagerDuty or Prometheus. Analyze trends to improve response times, ensuring enterprise efficiency and reduced business impact.

mttr = total_downtime / number_of_incidents

88. What is the role of incident command?

Incident command coordinates responses with defined roles like commander and communicator. It ensures structured communication, reducing confusion in enterprise incidents with multiple stakeholders.

89. How do you implement chaos engineering?

Implement chaos engineering with Chaos Toolkit in GitLab CI/CD, injecting failures to test resilience. Monitor with Prometheus, analyze results, ensuring enterprise systems handle disruptions gracefully.

chaos-test: stage: test script: - chaos run chaos-experiment.yaml

90. What is the impact of toil on SRE teams?

Toil, manual repetitive tasks, reduces productivity and innovation. SREs automate toil to focus on strategic work, ensuring enterprise operational efficiency and scalability.

Cloud and Integration Scenarios

91. What is SRE's role in cloud migrations?

SRE ensures reliability during cloud migrations, defining SLOs and monitoring with Prometheus. They automate with Terraform, minimizing risks and ensuring seamless transitions in enterprise environments.

92. Why use Kubernetes in SRE?

• Orchestration: Manages container deployments.
• Scalability: Auto-scales workloads dynamically.
• Resilience: Self-healing capabilities.
• Observability: Integrates with Prometheus.
• Compliance: Security policies enforcement.
• Automation: GitLab CI/CD integration.
• Cost Optimization: Resource efficiency.

Kubernetes enhances enterprise SRE practices.

93. When to implement multi-cloud SRE?

Implement multi-cloud SRE for vendor diversity, using tools like Terraform for IaC. It ensures enterprise resilience against outages and dependency risks in distributed systems.

94. How do you monitor cloud costs as SRE?

Monitor cloud costs with Prometheus metrics for resource usage, setting budgets in AWS Billing. Automate alerts for overspending, ensuring enterprise cost optimization and compliance with financial policies.

95. What is the role of SRE in hybrid cloud?

SRE in hybrid cloud ensures consistency across on-prem and cloud, using unified monitoring. They automate with GitLab CI/CD, ensuring enterprise reliability and performance in mixed environments.

96. Why use Terraform for SRE?

Terraform automates infrastructure, ensuring reproducible environments. SREs use it in pipelines for compliance and scalability in enterprise cloud setups, reducing manual errors.

97. When to use SRE for serverless?

Use SRE for serverless to monitor functions with Prometheus, defining SLOs for latency. It ensures enterprise scalability without infrastructure management, focusing on function reliability.

Learn about serverless in event-driven architectures.

98. How do you integrate SRE with DevSecOps?

Integrate SRE with DevSecOps by adding security scans in GitLab CI/CD pipelines, using SAST and DAST. Ensure SLOs include security metrics, ensuring enterprise compliance and reliability in development.

sast: stage: security include: - template: Security/SAST.gitlab-ci.yml

99. What is the impact of SRE on cloud costs?

SRE reduces cloud costs through capacity planning and automation, optimizing resources with metrics. They right-size instances, ensuring enterprise efficiency and budget control in cloud environments.

100. Why prioritize SRE in cloud-native?

Prioritize SRE in cloud-native for reliability in distributed systems, using Kubernetes for orchestration. It ensures enterprise resilience, performance, and scalability in containerized applications.

101. How do SREs handle cloud outages?

SREs handle cloud outages with multi-region deployments and failover strategies. Monitor with Prometheus, automate recovery with Terraform, ensuring enterprise uptime and minimal disruption during incidents.

102. What is the role of SRE in observability?

SREs use observability to detect issues early, integrating Prometheus and Grafana. It ensures enterprise system health, proactive management, and data-driven improvements for reliability.

103. Why use SRE for edge computing?

SRE for edge computing ensures low-latency reliability, using distributed monitoring. It supports IoT scalability in enterprise environments with minimal central overhead and high performance requirements.