Scenario-Based Akamai Interview Questions [2025]

Core Akamai Scenarios

1. Scenario: A customer reports slow page loads on a website using Akamai’s CDN. How do you diagnose the issue?

• Check cache hit ratios in Akamai Control Center.
• Verify cache headers and TTL settings.
• Log cache misses for analysis.
• Test origin server response times.
• Integrate with CI/CD for header validation.
• Align with DevSecOps for optimization.
• Optimize with Dynamic Site Accelerator.

2. Scenario: A real-time application needs low-latency delivery. How do you configure Akamai’s Edge platform?

Configure edge caching, enable Dynamic Site Accelerator, and use Anycast routing for low latency. Monitor via Prometheus, log performance metrics, and integrate with CI/CD for updates, aligning with DevSecOps for scalable delivery.

3. Scenario: A client needs Akamai’s ION for a high-traffic e-commerce site. When is it appropriate?

Use ION for static and dynamic content optimization in high-traffic scenarios, not for live streaming. Validate configs with API, log performance, and integrate with CI/CD, aligning with DevSecOps for reliable delivery.

4. Scenario: A global app requires Akamai’s Edge servers for real-time delivery. Where are they deployed?

• Over 240,000 servers in 130 countries.
• Near ISPs for low-latency access.
• Peering points for optimized routing.
• Log deployment metrics for monitoring.
• Integrate with CI/CD for edge updates.
• Align with DevSecOps for secure deployments.
• Ensure global availability.

5. Scenario: A security team needs to configure Akamai’s Kona Site Defender. Who manages it?

Security engineers configure WAF rules, SREs monitor threats, and DevOps automate via CI/CD. Logs track security events, aligning with DevSecOps for secure, scalable configurations in production.

6. Scenario: A client requires real-time cloud security. Which Akamai services apply?

• Kona Site Defender for WAF protection.
• Prolexic for DDoS mitigation.
• Bot Manager for bot detection.
• Logs security events for analysis.
• Integrates with Sysdig monitoring.
• Aligns with DevSecOps for scalability.
• Secures real-time cloud apps.

7. Scenario: A DDoS attack hits a client’s site. How do you mitigate it with Akamai?

Divert traffic to Prolexic scrubbing centers, apply rate limiting, and use behavioral analysis. Log attack patterns, update rules via CI/CD, and align with DevSecOps for resilient, real-time mitigation.

Explore PagerDuty integration for incident response.

8. Scenario: A client wants to run serverless code at the edge. How do you implement it?

• Use EdgeWorkers for JavaScript execution.
• Deploy via Akamai CLI and CI/CD.
• Log execution metrics for monitoring.
• Test in sandbox environment.
• Align with DevSecOps for secure execution.
• Reduce latency for dynamic apps.
• Support real-time workflows.

CDN and Performance Scenarios

9. Scenario: A video streaming platform reports buffering issues. How do you optimize Akamai CDN?

Configure Adaptive Media Delivery, enable bitrate switching, and cache at the edge. Monitor via Control Center, log metrics, and update rules with CI/CD, aligning with DevSecOps for low-latency streaming.

10. Scenario: A site has high cache miss rates. What steps do you take?

• Check TTLs in cache headers.
• Validate property rules in Control Center.
• Log cache misses for debugging.
• Integrate with CI/CD for header testing.
• Test with simulated traffic patterns.
• Align with DevSecOps for optimization.
• Improve cache hit ratios.

11. Scenario: A dynamic web app needs faster delivery. How do you use Dynamic Site Accelerator?

Enable Dynamic Site Accelerator for route optimization and TCP enhancements. Log performance metrics, update rules via CI/CD, and align with DevSecOps for low-latency dynamic content delivery.

12. Scenario: A client needs to update content instantly. How do you purge Akamai’s CDN cache?

• Use Akamai API for cache invalidation.
• Purge by URL or content tags.
• Log purge events for auditing.
• Integrate with CI/CD for automation.
• Test with simulated cache invalidation.
• Align with DevSecOps for secure purges.
• Ensure fresh content delivery.

13. Scenario: A performance issue arises in a CDN. Where do you monitor it?

Monitor via Akamai Control Center, Prometheus metrics, and Grafana dashboards. Log cache hits and latency, validate with CI/CD, and align with DevSecOps for observable, high-performance operations.

14. Scenario: A team needs to optimize CDN rules. Who is responsible?

DevOps engineers optimize rules, SREs monitor performance, and security teams ensure compliance. Log changes, automate via CI/CD, and align with DevSecOps for efficient CDN management.

15. Scenario: A client reports high latency. Which CDN settings do you adjust?

• Enable Dynamic Site Accelerator.
• Set long TTLs for cache headers.
• Use route optimization for traffic.
• Log latency metrics for analysis.
• Integrate with CI/CD for rule testing.
• Align with Spacelift CI/CD.
• Reduce global latency.

Discover Spacelift automation for CDN configs.

DNS Management Scenarios

16. Scenario: A client needs fast DNS resolution. How do you configure Akamai’s Edge DNS?

Configure Edge DNS with Anycast routing and DNSSEC for security. Log queries, automate zone updates with CI/CD, and align with DevSecOps for reliable, low-latency resolution.

17. Scenario: A critical app requires DNS failover. How do you set it up?

• Create failover policies with health checks.
• Assign backup origins for redundancy.
• Log failover events for analysis.
• Integrate with CI/CD for DNS testing.
• Test with API-based simulations.
• Align with DevSecOps for reliable DNS.
• Ensure high availability.

18. Scenario: DNS resolution fails for a client’s domain. What do you check?

Validate records with dig, check propagation delays, and log errors. Test zone configs via API, automate updates with CI/CD, and align with DevSecOps for reliable DNS resolution.

19. Scenario: A team needs to update DNS records. Where do you manage them?

Manage DNS in Akamai Control Center or via API for automation. Log changes, validate with CI/CD, and align with DevSecOps for secure, scalable DNS management.

20. Scenario: A DNS update causes issues. Who handles it?

• Network engineers update zones via dashboard.
• DevOps automate updates with API.
• Log changes for audit trails.
• Integrate with CI/CD for validation.
• Security teams ensure compliance.
• Align with DevSecOps for secure updates.
• Resolve issues quickly.

21. Scenario: A client needs specific DNS records. Which are critical?

• A/AAAA for IP resolution.
• CNAME for domain aliasing.
• MX for mail server routing.
• TXT for SPF/DKIM authentication.
• Log record changes for analysis.
• Align with Sysdig monitoring.
• Support secure configurations.

22. Scenario: DNS propagation delays affect a client. How do you troubleshoot?

Validate records with dig, check TTLs, and log delays. Use Edge DNS, automate updates with CI/CD, and align with DevSecOps for fast, reliable resolution.

Explore Sysdig certification for DNS monitoring.

DDoS Mitigation Scenarios

23. Scenario: A client’s site is under DDoS attack. How do you respond?

Enable Prolexic scrubbing, apply rate limiting, and use behavioral analysis. Log attack patterns, update rules via CI/CD, and align with DevSecOps for resilient mitigation.

24. Scenario: A DDoS attack requires rate limiting. How do you configure it?

• Set thresholds in Akamai Control Center.
• Define request limits per IP.
• Log rate limit events for analysis.
• Integrate with CI/CD for rule testing.
• Test with simulated traffic loads.
• Align with DevSecOps for secure limiting.
• Block volumetric attacks.

25. Scenario: A client asks why Prolexic is needed for DDoS mitigation. What do you explain?

Prolexic uses dedicated scrubbing centers to filter malicious traffic in real-time. Logs track patterns, and CI/CD updates rules, aligning with DevSecOps for robust, scalable defense.

26. Scenario: A DDoS attack disrupts a client’s app. What happens in Akamai?

Traffic is diverted to Prolexic scrubbing centers, WAF rules are applied, and rate limiting is enforced. Logs analyze attacks, CI/CD updates defenses, and DevSecOps ensures resilient mitigation.

27. Scenario: A client needs to monitor DDoS attacks. How do you set it up?

• Use Akamai analytics for attack insights.
• Integrate with Prometheus for metrics.
• Log attack events for debugging.
• Integrate with CI/CD for alert configs.
• Visualize with Grafana dashboards.
• Align with DevSecOps for monitoring.
• Ensure proactive detection.

28. Scenario: A client wants SOCC for DDoS protection. Where do you configure it?

Configure SOCC in Akamai Control Center with real-time threat monitoring. Log traffic, validate configs with CI/CD, and align with DevSecOps for secure, scalable protection.

29. Scenario: A DDoS attack targets an app layer. Which WAF settings apply?

• Enable Kona managed rules for attacks.
• Configure custom rules for specific threats.
• Log WAF events for analysis.
• Integrate with CI/CD for rule updates.
• Test with simulated attack traffic.
• Align with DevSecOps for secure WAF.
• Protect against app-layer attacks.

Learn about Spacelift automation for WAF configs.

Cloud Security Scenarios

30. Scenario: A client needs WAF protection. How do you configure Kona Site Defender?

Configure Kona Site Defender with managed and custom rules for app protection. Log threats, automate updates via CI/CD, and align with DevSecOps for secure, scalable cloud security.

31. Scenario: A client reports bot-related issues. How do you set up Bot Manager?

• Define bot detection rules in Control Center.
• Use ML for behavioral analysis.
• Log bot activity for auditing.
• Integrate with CI/CD for rule updates.
• Test with simulated bot traffic.
• Align with DevSecOps for secure detection.
• Block malicious bots effectively.

32. Scenario: A WAF rule blocks legitimate traffic. How do you resolve it?

Review rule expressions, whitelist IPs, and log blocked requests. Test with safe traffic, update via CI/CD, and align with DevSecOps for accurate, secure WAF operations.

33. Scenario: A client requires Zero Trust for secure access. How do you implement it?

Implement Zero Trust with EAA for identity-based access and SIA for traffic filtering. Log access, update policies via CI/CD, and align with DevSecOps for secure app access.

34. Scenario: A client needs secure HTTPS. How do you manage SSL/TLS?

• Automate SSL certificate issuance.
• Support secure TLS protocols.
• Log cert renewals for monitoring.
• Integrate with CI/CD for renewals.
• Test with API-based cert checks.
• Align with DevSecOps for secure HTTPS.
• Ensure encrypted traffic delivery.

35. Scenario: A client needs to monitor WAF performance. Where do you set it up?

Monitor WAF via Akamai Control Center, Prometheus metrics, and Grafana dashboards. Log rule hits, validate with CI/CD, and align with DevSecOps for observable security.

36. Scenario: A Zero Trust policy fails. Who troubleshoots it?

Security engineers troubleshoot EAA and IdP settings, SREs monitor logs, and DevOps validate via CI/CD. Log failures, align with DevSecOps for reliable security policy enforcement.

Explore cloud security scenarios for Zero Trust.

Edge Computing Scenarios

37. Scenario: A client needs serverless code at the edge. How do you use EdgeWorkers?

Deploy EdgeWorkers with JavaScript for dynamic content processing. Log executions, automate via CI/CD, and align with DevSecOps for scalable, low-latency edge computing.

38. Scenario: An EdgeWorker deployment fails. How do you troubleshoot?

• Check logs for syntax or resource errors.
• Validate code with Akamai CLI.
• Test in sandbox environment.
• Integrate with CI/CD for validation.
• Log execution metrics for analysis.
• Align with DevSecOps for reliable execution.
• Resolve deployment issues quickly.

39. Scenario: An EdgeWorker exceeds resource limits. What do you do?

Optimize code to reduce CPU usage, use EdgeKV caching, and log execution times. Test in sandbox, update via CI/CD, and align with DevSecOps for efficient edge performance.

40. Scenario: A client needs stateful EdgeWorkers. Where do you store state?

Store state in EdgeKV for key-value data. Log storage operations, validate with CI/CD, and align with DevSecOps for stateful, scalable edge applications.

41. Scenario: A team needs to deploy EdgeWorkers. Who manages it?

DevOps engineers deploy via Akamai CLI and CI/CD, SREs monitor performance, and security teams ensure compliance. Log deployments, align with DevSecOps for secure management.

42. Scenario: A client asks about EdgeWorker limits. What do you explain?

• CPU time limits per execution.
• Memory constraints for scripts.
• Log execution metrics for analysis.
• Integrate with CI/CD for optimization.
• Test in sandbox for compliance.
• Align with DevSecOps for scalability.
• Ensure efficient performance.

43. Scenario: An EdgeWorker is slow. How do you optimize it?

Minimize subrequests, use EdgeKV caching, and log execution times. Test with Akamai CLI, update via CI/CD, and align with DevSecOps for low-latency edge computing.

Learn about real-time cloud security for EdgeWorkers.

System Design Scenarios

44. Scenario: A client needs a scalable CDN. How do you design it?

Design a CDN with Anycast routing, edge caching, and load balancing. Log performance, deploy configs via CI/CD, and align with DevSecOps for scalable, high-performance delivery.

45. Scenario: A client requires Zero Trust for apps. What is the system design?

• EAA for identity-based access control.
• SIA for secure traffic filtering.
• Log access events for auditing.
• Integrate with CI/CD for policy updates.
• Test with simulated user access.
• Align with DevSecOps for secure design.
• Ensure enterprise-grade security.

46. Scenario: A DDoS attack threatens an app. How do you architect mitigation?

Architect mitigation with Prolexic scrubbing, rate limiting, and WAF rules. Log attacks, update defenses via CI/CD, and align with DevSecOps for resilient, scalable protection.

47. Scenario: A client needs load balancing for high availability. Why design it?

Design a load balancer to distribute traffic across origins with health checks and geo-steering. Log balancing, validate with CI/CD, and align with DevSecOps for reliable delivery.

48. Scenario: A low-latency DNS resolver is needed. How do you design it?

• Use Anycast for nearest server routing.
• Enable DNSSEC for security.
• Log resolution queries for analysis.
• Integrate with CI/CD for DNS updates.
• Test with dig for resolution speed.
• Align with DevSecOps for secure DNS.
• Ensure fast resolutions.

49. Scenario: A client needs EdgeWorker architecture. What do you propose?

Use V8 isolates for serverless execution and EdgeKV for storage. Log performance, deploy via CI/CD, and align with DevSecOps for scalable, low-latency edge computing.

50. Scenario: A secure WAF system is required. How do you design it?

• Use Kona managed rules for common threats.
• Configure custom rules for specific attacks.
• Log rule hits for debugging.
• Integrate with CI/CD for rule updates.
• Test with simulated attack traffic.
• Align with DevSecOps for secure WAF.
• Protect applications effectively.

Understand cloud security engineering for WAF design.

Troubleshooting Scenarios

51. Scenario: A CDN outage disrupts a client’s site. What do you check?

Validate cache rules, check origin server health, and log cache misses. Test origins, update via CI/CD, and align with DevSecOps for reliable content delivery.

52. Scenario: A DNS failure affects a client’s app. How do you troubleshoot?

• Validate records with dig or nslookup.
• Check zone configs in Control Center.
• Log resolution errors for analysis.
• Integrate with CI/CD for DNS testing.
• Test failover with API simulations.
• Align with DevSecOps for reliable DNS.
• Resolve outages quickly.

53. Scenario: A WAF rule causes downtime. How do you fix it?

Review rule expressions, whitelist IPs, and log blocked requests. Test with safe traffic, update via CI/CD, and align with DevSecOps for secure WAF operations.

54. Scenario: An EdgeWorker fails in production. How do you debug?

Check logs for errors, validate code with Akamai CLI, and test in sandbox. Update via CI/CD, aligning with DevSecOps for reliable edge execution.

55. Scenario: A Zero Trust policy blocks legitimate users. What do you do?

• Check EAA and IdP configurations.
• Log authentication failures for analysis.
• Validate policies with API tests.
• Integrate with CI/CD for updates.
• Test with simulated user access.
• Align with DevSecOps for secure policies.
• Ensure reliable authentication.

56. Scenario: A client reports performance issues. Where do you monitor?

Monitor via Akamai Control Center, Prometheus metrics, and Grafana dashboards. Log issues, validate with CI/CD, and align with DevSecOps for observable infrastructure.

57. Scenario: A DDoS attack hits a production app. Who handles mitigation?

SREs configure Prolexic and WAF rules, security engineers update defenses, and logs track attacks. CI/CD validates configs, aligning with DevSecOps for resilient mitigation.

Learn cloud security for DDoS mitigation.

Coding and Implementation Scenarios

58. Scenario: A client needs a rate limiter for DDoS protection. How do you implement it?

Implement a token bucket rate limiter in Golang with Redis for distributed state. Log events, test via CI/CD, and align with DevSecOps for secure DDoS protection.

59. Scenario: A client asks about DNS lookup complexity. What do you explain?

• Uses trie for O(log n) prefix matching.
• Optimizes with Anycast routing.
• Log lookup times for analysis.
• Integrate with CI/CD for code testing.
• Test with simulated DNS queries.
• Align with DevSecOps for efficient DNS.
• Ensure fast resolution performance.

60. Scenario: A client needs an EdgeWorker for API routing. How do you code it?

• Use JavaScript for dynamic routing logic.
• Define routes in Akamai CLI.
• Log routing decisions for analysis.
• Integrate with CI/CD for deployments.
• Test in sandbox environment.
• Align with DevSecOps for secure Workers.
• Ensure low-latency API routing.

61. Scenario: A backend system needs high throughput. Why choose Golang?

Golang’s goroutines enable high-throughput networking with low memory usage. Log performance, deploy via CI/CD, and align with DevSecOps for efficient backend operations.

62. Scenario: A client needs an LRU cache for CDN. How do you implement it?

Implement an LRU cache with a hash map and doubly linked list in Golang for O(1) access. Log operations, test via CI/CD, and align with DevSecOps for efficient caching.

63. Scenario: A client requires a DDoS detector. How do you code it?

• Use anomaly detection for traffic patterns.
• Implement in Golang with Prometheus metrics.
• Log suspicious traffic for analysis.
• Integrate with CI/CD for model testing.
• Test with simulated attack datasets.
• Align with DevSecOps for secure detection.
• Enhance proactive mitigation.

64. Scenario: A load balancer needs consistent hashing. How do you code it?

Code a consistent hash ring with virtual nodes in Golang for balanced distribution. Log operations, test via CI/CD, and align with DevSecOps for scalable load balancing.

Explore SRE FAQs for coding prep.

Production Scenarios

65. Scenario: A production CDN outage occurs. What do you investigate?

Check cache rules, origin health, and log cache misses. Test origins, update via CI/CD, and align with DevSecOps for reliable content delivery.

66. Scenario: A DNS failure disrupts production. How do you troubleshoot?

• Validate records with dig or nslookup.
• Check zone configs in Control Center.
• Log resolution errors for analysis.
• Integrate with CI/CD for DNS testing.
• Test failover with API simulations.
• Align with DevSecOps for reliable DNS.
• Resolve outages quickly.

67. Scenario: A WAF rule causes downtime in production. How do you fix it?

Review rule expressions, whitelist IPs, and log blocked requests. Test with safe traffic, update via CI/CD, and align with DevSecOps for secure operations.

68. Scenario: A DDoS attack hits a production app. How do you respond?

Enable Prolexic scrubbing, configure WAF rules, and apply rate limiting. Log attack patterns, update via CI/CD, and align with DevSecOps for resilient mitigation.

69. Scenario: An EdgeWorker exceeds resource limits in production. What do you do?

• Optimize code to reduce CPU usage.
• Use EdgeKV caching for efficiency.
• Log execution times for analysis.
• Test in sandbox with Akamai CLI.
• Integrate with CI/CD for validation.
• Align with DevSecOps for scalability.
• Ensure reliable performance.

70. Scenario: An SSL certificate expires in production. How do you handle it?

Automate renewals with Akamai’s API, monitor via checks, and log events. CI/CD automates alerts, aligning with DevSecOps for secure, uninterrupted HTTPS.

71. Scenario: A client needs production performance monitoring. Where do you set it up?

Monitor via Akamai Control Center, Prometheus metrics, and Grafana dashboards. Log issues, validate with CI/CD, and align with DevSecOps for observable infrastructure.

Learn GitLab practices for monitoring.

Advanced Scenarios

72. Scenario: A DNS failover fails in production. What do you check?

Validate pool configs and health checks, log failover events, and test with API simulations. Update via CI/CD, aligning with DevSecOps for reliable DNS failover.

73. Scenario: A client needs Zero Trust in production. How do you configure it?

• Define EAA policies with IdP integration.
• Use SIA for traffic filtering.
• Log authentication for analysis.
• Integrate with CI/CD for policy testing.
• Test with simulated user access.
• Align with DevSecOps for secure Zero Trust.
• Protect app authentication.

74. Scenario: A production app shows high CDN latency. What do you investigate?

Check routing and cache misses, optimize with Dynamic Site Accelerator, and log performance. Update via CI/CD, aligning with DevSecOps for low-latency delivery.

75. Scenario: An EdgeWorker fails in production. How do you debug?

Check logs for errors, validate code with Akamai CLI, and test in sandbox. Update via CI/CD, aligning with DevSecOps for reliable edge execution.

76. Scenario: A WAF rule causes false positives in production. How do you fix it?

• Review rule expressions for accuracy.
• Whitelist legitimate IPs.
• Log blocked requests for analysis.
• Integrate with CI/CD for rule testing.
• Test with simulated legitimate traffic.
• Align with DevSecOps for secure WAF.
• Ensure accurate threat detection.

77. Scenario: A client needs to validate production configs. Where do you do it?

Validate in staging via Akamai API and Control Center, logging errors. Automate testing with CI/CD, aligning with DevSecOps for reliable DNS, WAF, and EdgeWorker configs.

78. Scenario: A production DDoS attack occurs. Who manages mitigation?

SREs configure Prolexic and WAF rules, security engineers update defenses, and logs track attacks. CI/CD validates configs, aligning with DevSecOps for resilient mitigation.

Explore GitLab CI/CD for automation.

Advanced Coding Scenarios

79. Scenario: A client needs a token bucket rate limiter. How do you implement it?

Implement a token bucket in Golang with Redis for distributed state. Log events, test via CI/CD, and align with DevSecOps for secure, scalable DDoS protection.

80. Scenario: A client asks about BGP routing complexity. What do you explain?

• Uses trie for O(log n) prefix matching.
• Optimizes with BGP announcements.
• Log route lookups for analysis.
• Integrate with CI/CD for code testing.
• Test with simulated BGP routes.
• Align with DevSecOps for efficient routing.
• Ensure fast traffic handling.

81. Scenario: A client needs an EdgeWorker for caching. How do you code it?

Code an EdgeWorker with JavaScript, using EdgeKV for storage and Cache API for responses. Log operations, test via CI/CD, and align with DevSecOps for efficient caching.

82. Scenario: A client needs low-latency EdgeWorkers. How do you optimize?

Minimize subrequests, use EdgeKV caching, and log execution times. Test with Akamai CLI, update via CI/CD, and align with DevSecOps for low-latency edge computing.

83. Scenario: A client needs a traffic anomaly detector. How do you code it?

• Use statistical models for anomaly detection.
• Implement in Golang with Prometheus metrics.
• Log anomalies for analysis.
• Integrate with CI/CD for model testing.
• Test with simulated attack datasets.
• Align with DevSecOps for proactive detection.
• Enhance real-time threat mitigation.

Learn GitLab CI/CD for coding automation.

Advanced Production Scenarios

84. Scenario: A CDN outage affects a critical app. How do you respond?

Validate cache rules, check origin health, and log cache misses. Test origins, update via CI/CD, and align with DevSecOps for rapid recovery and reliable delivery.

85. Scenario: A DDoS attack targets a production app. How do you mitigate?

• Enable Prolexic scrubbing in Control Center.
• Configure WAF and rate limiting rules.
• Log attack patterns for analysis.
• Integrate with CI/CD for defense updates.
• Monitor with Prometheus metrics.
• Align with DevSecOps for resilient mitigation.
• Minimize app downtime.

86. Scenario: An EdgeWorker exceeds CPU limits in production. How do you fix it?

Optimize code to reduce CPU usage, use EdgeKV caching, and log execution times. Test in sandbox, update via CI/CD, and align with DevSecOps for reliable performance.

87. Scenario: A WAF false positive blocks users. How do you troubleshoot?

Review rule expressions, whitelist IPs, and log blocked requests. Test with safe traffic, update via CI/CD, and align with DevSecOps for accurate WAF operations.

88. Scenario: DNS propagation delays impact production. What do you check?

• Validate TTLs and zone settings.
• Log propagation delays for analysis.
• Check records with dig queries.
• Integrate with CI/CD for DNS updates.
• Test with API-based simulations.
• Align with DevSecOps for reliable DNS.
• Ensure fast propagation.

89. Scenario: A load balancer fails in production. How do you manage it?

Validate health checks, log failover events, and test with API simulations. Update configs via CI/CD, aligning with DevSecOps for reliable app availability.

90. Scenario: A client needs real-time production metrics. Where do you monitor?

Monitor via Akamai Control Center, Prometheus scrape jobs, and Grafana dashboards. Log issues, validate with CI/CD, and align with DevSecOps for observable infrastructure.

Explore ArgoCD automation for monitoring.

Interview Preparation Scenarios

91. Scenario: You’re preparing for an Akamai DevOps interview. What do you study?

Study CDN, DNS, WAF, EdgeWorkers, and Zero Trust. Practice with Akamai CLI, simulate scenarios with API, and monitor with Prometheus. Align with DevSecOps for comprehensive readiness.

92. Scenario: A production app shows high CDN latency. How do you troubleshoot?

Check routing and cache misses, optimize with Dynamic Site Accelerator, and log performance. Update via CI/CD, aligning with DevSecOps for low-latency delivery.

93. Scenario: A client needs real-time DDoS mitigation. How do you configure it?

• Enable Prolexic and WAF rules.
• Use rate limiting for traffic control.
• Log attack patterns for analysis.
• Integrate with CI/CD for defense testing.
• Test with simulated attack traffic.
• Align with DevSecOps for resilient mitigation.
• Protect apps effectively.

94. Scenario: An EdgeWorker fails in production. How do you debug?

Check logs for errors, validate code with Akamai CLI, and test in sandbox. Update via CI/CD, aligning with DevSecOps for reliable edge execution.

95. Scenario: A DNS issue disrupts production. How do you troubleshoot?

Validate records with dig, check zone configs, and log errors. Automate testing with CI/CD, aligning with DevSecOps for reliable, fast DNS resolution.

96. Scenario: A Zero Trust failure blocks users. How do you fix it?

• Check EAA and IdP settings.
• Log authentication failures for analysis.
• Validate policies with API tests.
• Integrate with CI/CD for updates.
• Test with simulated user access.
• Align with DevSecOps for secure policies.
• Ensure reliable authentication.

97. Scenario: A client needs to test configurations. Where do you validate?

Test in staging using Akamai API, CLI for EdgeWorkers, and Control Center for DNS/WAF. Log errors, validate with CI/CD, and align with DevSecOps for reliable configs.

98. Scenario: A WAF issue affects production. Who manages it?

Security engineers manage WAF issues, validating rules and whitelisting IPs. SREs monitor logs, CI/CD tests configs, and DevSecOps ensures accurate, secure operations.

99. Scenario: A client needs a rate limiter for apps. How do you code it?

• Implement token bucket in Golang.
• Use Redis for distributed state.
• Log rate limit events for analysis.
• Integrate with CI/CD for code testing.
• Test with simulated request bursts.
• Align with DevSecOps for secure limiting.
• Protect apps from DDoS.

100. Scenario: A load balancer fails in production. What do you do?

Validate health checks, log failover events, and test with API simulations. Update configs via CI/CD, aligning with DevSecOps for reliable app availability.

101. Scenario: A client needs low-latency EdgeWorkers. How do you optimize?

Minimize subrequests, use EdgeKV caching, and log execution times. Test with Akamai CLI, update via CI/CD, and align with DevSecOps for low-latency edge computing.

Learn ELK certification for logging expertise.

102. Scenario: A client needs to simulate a DDoS attack. How do you test it?

Simulate DDoS with Locust to generate traffic, targeting Akamai endpoints. Log attack patterns, validate WAF rules, and test via CI/CD, aligning with DevSecOps for robust defense validation.