Akamai Engineer Interview Questions with Answers [2025]

Akamai Core Concepts

1. What is the primary function of Akamai's CDN?

Akamai's CDN distributes content globally through edge servers, reducing latency and improving user experience by caching static and dynamic assets closer to end-users. It optimizes delivery with intelligent routing, load balancing, and compression, ensuring high availability for applications. This supports cloud-native observability, enabling DevOps teams to monitor and scale performance in multi-cloud environments.

2. Why is Akamai preferred for global content delivery?

Akamai's extensive network of edge servers provides low-latency access worldwide, with advanced caching and routing algorithms that handle traffic spikes efficiently. It minimizes origin server load, enhances security, and integrates with DevOps tools, making it ideal for high-traffic applications in cloud-native architectures.

3. When should you use Akamai for DDoS protection?

Use Akamai for DDoS protection during high-risk events or for mission-critical applications, leveraging its massive network to absorb attacks. It filters malicious traffic at the edge, ensuring uptime and integrating with automated security workflows in DevOps pipelines.

4. Where does Akamai fit in multi-cloud strategies?

• Edge Caching Layer: Stores content near users.
• Traffic Routing Engine: Optimizes paths across clouds.
• Security Gateway: Filters threats before origin.
• Load Balancer System: Distributes global traffic.
• Monitoring Integration Hub: Connects to observability tools.
• API Acceleration Module: Enhances cloud API performance.

5. Who typically manages Akamai configurations?

Network engineers, DevOps specialists, and security teams manage Akamai configurations, defining caching rules, security policies, and routing behaviors. They collaborate with platform teams to align with SLAs, ensuring seamless integration in cloud-native DevOps workflows.

6. Which protocols does Akamai support for delivery?

• HTTP/2 and HTTP/3: Enables multiplexed, low-latency transfers.
• QUIC Protocol Support: Reduces connection establishment time.
• TLS 1.3 Encryption: Secures data in transit.
• WebSocket Connections: Facilitates real-time applications.
• DNS over HTTPS: Protects query privacy.
• gRPC Acceleration: Optimizes microservices communication.

7. How does Akamai optimize traffic routing?

Akamai optimizes routing using real-time network intelligence, selecting the fastest paths based on latency and congestion. It employs Anycast IP and dynamic mapping, ensuring efficient global delivery and minimizing delays in cloud-native applications.

8. What is Akamai's EdgeConnect service?

Akamai's EdgeConnect provides secure, optimized connectivity between on-premises and cloud environments, using SD-WAN principles for traffic steering. It enhances performance, aligning with CI/CD pipelines for automated, hybrid deployments in cloud-native architectures.

• SD-WAN Integration: Dynamically routes traffic intelligently.
• Security Policy Enforcement: Applies consistent rules across sites.
• Performance Monitoring: Tracks latency and packet loss.
• Cloud Connectivity Hub: Links to AWS, Azure, GCP.
• Automated Failover: Ensures high availability.
• Centralized Management Console: Simplifies configuration.

9. Why use Akamai for API acceleration?

Akamai accelerates APIs by caching responses, compressing payloads, and optimizing routing. It reduces latency for microservices, supporting high-throughput applications in cloud-native DevOps environments.

10. When would you implement Akamai's Ion?

Implement Akamai's Ion for web optimization, handling dynamic content with assembly and personalization. It's ideal for e-commerce sites, integrating with CI/CD for automated performance tuning in cloud-native setups.

11. Where is Akamai's edge platform deployed?

• Global Data Centers: Over 4,000 edge servers worldwide.
• Anycast Network Points: Routes to nearest node.
• Peering Exchange Hubs: Optimizes ISP connections.
• Cloud Provider POPs: Integrates with AWS, GCP.
• Metro Area Clusters: Enhances regional delivery.
• Private Network Links: Secures enterprise connectivity.

12. Who benefits from Akamai's traffic management?

DevOps teams and network architects benefit from traffic management, gaining visibility and control over global flows. It ensures reliable delivery, reducing downtime in cloud-native applications.

13. Which features support Akamai's security?

• Web Application Firewall: Blocks OWASP threats.
• DDoS Mitigation Service: Absorbs volumetric attacks.
• Bot Manager Integration: Filters automated traffic.
• SSL/TLS Termination: Secures encrypted connections.
• Rate Limiting Controls: Prevents API abuse.
• Access Control Policies: Enforces Zero Trust.

14. How does Akamai handle content personalization?

Akamai handles personalization by assembling content at the edge, using rules to tailor responses based on user data. It reduces origin load, enhancing experiences in cloud-native e-commerce applications.

15. What is Akamai's role in edge computing?

Akamai enables edge computing by executing logic at edge servers, reducing latency for dynamic tasks. It supports serverless functions, aligning with edge deployments in cloud-native environments.

Akamai CDN Configuration

16. Why configure caching rules in Akamai?

Configuring caching rules in Akamai minimizes origin requests, improving latency and scalability. It uses TTL and behaviors to control content freshness, supporting high-traffic applications in cloud-native DevOps workflows.

17. When should you use Akamai's Property Manager?

Use Property Manager for configuring delivery behaviors like compression and routing. It's essential for customizing edge logic, integrating with CI/CD for automated updates in cloud-native systems.

18. Where are Akamai properties defined?

• Akamai Control Center: Manages property configurations.
• Terraform Configuration Files: Defines properties as code.
• Git Repositories: Tracks property versions.
• API Endpoint Calls: Programmatic property updates.
• CI/CD Pipeline Scripts: Automates property deployments.
• Kubernetes Manifests: Integrates with clusters.

19. Who configures Akamai properties?

Network engineers configure properties, defining behaviors for caching and security. They collaborate with DevOps to ensure alignment with SLAs in cloud-native environments.

20. Which behaviors optimize Akamai delivery?

• Compression Behaviors: Reduces payload sizes.
• Caching TTL Settings: Controls content expiry.
• Routing Optimizations: Selects fastest paths.
• Header Manipulation Rules: Customizes responses.
• Origin Shield Configurations: Protects origin servers.
• Response Code Handling: Manages error responses.

21. How do you test Akamai property changes?

Test property changes using staging environments, simulating traffic with tools like curl. Validate behaviors, monitor metrics, and deploy via CI/CD to ensure reliability in cloud-native applications.

22. What is the purpose of Akamai's Edge DNS?

Akamai's Edge DNS provides fast, secure resolution with DDoS protection and DNSSEC. It optimizes global traffic, supporting high-availability applications in cloud-native ecosystems.

23. Why use Akamai for video streaming?

Akamai optimizes video streaming with adaptive bitrate, edge caching, and global delivery. It ensures smooth playback, reducing buffering in cloud-native media applications.

24. When would you use Akamai's mPulse?

Use mPulse for real-user monitoring, tracking performance metrics like page load times. It's ideal for optimizing user experiences in cloud-native web applications.

25. Where are mPulse data analyzed?

• Akamai Control Center: Displays performance dashboards.
• External BI Tools: Integrates with Tableau.
• Prometheus Metrics Endpoints: Exposes mPulse data.
• Grafana Visualization Panels: Real-time metric views.
• Cloud Logging Services: Centralizes for analysis.
• API Query Responses: Retrieves custom data.

26. Who analyzes mPulse metrics?

Performance analysts analyze mPulse metrics, identifying bottlenecks and user issues. They collaborate with DevOps to optimize applications in cloud-native environments.

27. Which mPulse features aid optimization?

• Real-User Monitoring: Tracks actual user experiences.
• Session Replay Tools: Replays user sessions.
• Performance Scoring System: Grades application speed.
• Alerting on Anomalies: Notifies on degradation.
• Integration with RUM: Combines with synthetic tests.
• Custom Dashboard Views: Tailors to team needs.

28. How do you integrate mPulse with CI/CD?

Integrate mPulse with CI/CD by embedding beacons in builds, tracking performance changes. Use APIs to fetch metrics, alerting on regressions in cloud-native deployments.

29. What is the impact of poor caching?

Poor caching increases origin load, slowing delivery and raising costs. Tune rules, test in staging, and update via Git to optimize performance in cloud-native workflows.

Akamai Security and DDoS

30. Why is Akamai's Kona Site Defender effective?

Kona Site Defender provides WAF and DDoS protection, filtering threats at the edge. It uses machine learning for anomaly detection, ensuring secure applications in cloud-native environments.

31. When should you enable Akamai's Bot Manager?

Enable Bot Manager for sites facing scraping or abuse, using behavioral analysis to block malicious bots. It protects resources, integrating with automated security in DevOps pipelines.

32. Where are security rules configured?

• Akamai Control Center: Defines WAF rules.
• Terraform Configuration Files: Manages as code.
• API Endpoint Calls: Programmatic rule updates.
• Git Repositories: Tracks rule versions.
• CI/CD Pipeline Scripts: Automates security configs.
• Kubernetes Manifests: Integrates with clusters.

33. Who configures Akamai security rules?

Security engineers configure rules, defining WAF and bot management policies. They collaborate with DevOps to ensure compliance and performance in cloud-native systems.

34. Which threats does Kona block?

• SQL Injection Attacks: Prevents database exploits.
• Cross-Site Scripting (XSS): Blocks script injections.
• DDoS Volumetric Attacks: Absorbs traffic surges.
• Bot Scraping Attempts: Filters automated access.
• API Abuse Patterns: Throttles excessive calls.
• Zero-Day Vulnerabilities: Uses behavioral detection.

35. How do you test security rule effectiveness?

Test security rules using penetration testing tools and simulated attacks in staging. Validate with CI/CD pipelines, ensuring protection without blocking legitimate traffic in cloud-native applications.

36. What is Akamai's Prolexic?

Akamai's Prolexic provides advanced DDoS mitigation, absorbing attacks with scrubbing centers. It ensures uptime, aligning with cloud-native architectures for secure deployments.

37. Why use Akamai for API security?

Akamai secures APIs with rate limiting, WAF rules, and threat intelligence, preventing abuse. It ensures reliable delivery in cloud-native microservices environments.

38. When would you use Akamai's App & API Protector?

Use App & API Protector for comprehensive security, combining WAF and bot management. It's ideal for APIs facing sophisticated threats in cloud-native DevOps workflows.

39. Where are threat intelligence feeds integrated?

• Akamai Control Center: Imports feeds for rules.
• External SIEM Systems: Correlates with security data.
• Prometheus Metrics Endpoints: Exposes threat metrics.
• Grafana Dashboard Visuals: Displays real-time threats.
• Cloud Logging Services: Centralizes for analysis.
• API Query Responses: Retrieves feed updates.

40. Who monitors Akamai security events?

Security operations centers monitor events, analyzing logs and metrics for threats. They integrate with DevOps for automated responses in cloud-native environments.

41. Which metrics track security effectiveness?

• security_requests_blocked_total: Counts blocked threats.
• security_rule_triggered_count: Tracks rule activations.
• security_latency_seconds: Measures rule processing.
• security_bot_score_distribution: Analyzes bot detection.
• security_ip_blocked_total: Logs blocked IPs.
• security_rate_limit_exceeded: Tracks throttling events.

42. How do you debug security false positives?

Debug false positives by reviewing logs, adjusting rule thresholds, and testing in staging. Update via Git and CI/CD to balance security and usability in applications.

43. What is the impact of misconfigured security rules?

Misconfigured rules block legitimate traffic or allow attacks, risking downtime or breaches. Review logs, test in staging, and update via Git to ensure accuracy in secure environments.

Akamai CDN Performance

44. Why monitor Akamai cache hit ratios?

Monitoring cache hit ratios ensures efficient content delivery, reducing origin load. It identifies optimization opportunities, aligning with DevOps practices for high-performance cloud-native applications.

45. When would you purge Akamai's cache?

Purge cache when updating content or fixing corrupted assets. Use selective purges for URLs or full purges for sites, ensuring freshness in high-traffic applications.

46. Where are cache policies defined?

• Akamai Control Center: Sets cache levels.
• Property Manager Interface: Defines custom rules.
• Terraform Configuration Files: Manages as code.
• Git Repositories: Tracks policy versions.
• API Endpoint Calls: Programmatic cache updates.
• CI/CD Pipeline Scripts: Automates cache policies.

47. Who tunes Akamai cache settings?

Performance engineers tune cache settings, analyzing hit ratios and latency metrics. They collaborate with DevOps to meet SLAs, optimizing delivery in cloud-native systems.

48. Which behaviors improve Akamai caching?

• Compression Behaviors: Reduces payload sizes.
• Caching TTL Settings: Controls content expiry.
• Routing Optimizations: Selects fastest paths.
• Header Manipulation Rules: Customizes responses.
• Origin Shield Configurations: Protects origin servers.
• Response Code Handling: Manages error responses.

49. How do you test Akamai property changes?

Test property changes using staging environments, simulating traffic with tools like curl. Validate behaviors, monitor metrics, and deploy via CI/CD to ensure reliability in applications.

50. What is the purpose of Akamai's mPulse?

mPulse provides real-user monitoring, tracking performance metrics like page load times. It identifies bottlenecks, optimizing user experiences in cloud-native web applications.

• Real-User Monitoring: Tracks actual user experiences.
• Session Replay Tools: Replays user sessions.
• Performance Scoring System: Grades application speed.
• Alerting on Anomalies: Notifies on degradation.
• Integration with RUM: Combines with synthetic tests.
• Custom Dashboard Views: Tailors to team needs.

51. Why integrate mPulse with DevOps?

Integrate mPulse with DevOps to track performance changes in builds, alerting on regressions. It ensures continuous optimization, aligning with CI/CD workflows for cloud-native applications.

52. When would you use Akamai's Edge DNS?

Use Edge DNS for fast, secure resolution with DDoS protection and DNSSEC. It optimizes global traffic, ensuring high-availability applications in cloud-native architectures.

53. Where are mPulse data analyzed?

• Akamai Control Center: Displays performance dashboards.
• External BI Tools: Integrates with Tableau.
• Prometheus Metrics Endpoints: Exposes mPulse data.
• Grafana Visualization Panels: Real-time metric views.
• Cloud Logging Services: Centralizes for analysis.
• API Query Responses: Retrieves custom data.

54. Who analyzes mPulse metrics?

Performance analysts analyze mPulse metrics, identifying bottlenecks and user issues. They collaborate with DevOps to optimize applications in cloud-native environments.

55. Which mPulse features aid optimization?

• Real-User Monitoring: Tracks actual experiences.
• Session Replay Tools: Replays user sessions.
• Performance Scoring System: Grades application speed.
• Alerting on Anomalies: Notifies on degradation.
• Integration with RUM: Combines with synthetic tests.
• Custom Dashboard Views: Tailors to team needs.

56. How do you integrate mPulse with CI/CD?

Integrate mPulse with CI/CD by embedding beacons in builds, tracking performance changes. Use APIs to fetch metrics, alerting on regressions in cloud-native deployments.

57. What is the impact of poor caching?

Poor caching increases origin load, slowing delivery and raising costs. Tune rules, test in staging, and update via Git to optimize performance in cloud-native workflows.

Akamai Load Balancing and Traffic

58. Why use Akamai for load balancing?

Akamai’s load balancing distributes traffic across servers, ensuring uptime and performance. It supports health checks and failover, optimizing resource usage in cloud-native applications.

59. When do you enable geo-steering?

Enable geo-steering to route traffic based on user location, reducing latency. It’s ideal for global applications, integrating with CI/CD for automated policy updates.

60. Where are load balancing rules defined?

• Akamai Control Center: Configures load balancers.
• Terraform Configuration Files: Manages as code.
• API Endpoint Calls: Programmatic rule updates.
• Git Repositories: Tracks rule versions.
• CI/CD Pipeline Scripts: Automates balancer configs.
• Kubernetes Manifests: Integrates with clusters.

61. Who configures load balancing policies?

Network engineers configure load balancing, setting health checks and failover rules. They align with DevOps to ensure scalability, optimizing performance in cloud-native environments.

62. Which settings enhance load balancing?

• Health Check Intervals: Monitors server availability.
• Failover Pool Configurations: Routes to backup servers.
• Geo-Steering Policies: Optimizes by location.
• Session Affinity Settings: Maintains user sessions.
• Weighted Traffic Distribution: Balances load dynamically.
• Proximity Routing Options: Minimizes latency.

63. How do you debug load balancing issues?

Debug load balancing by analyzing health check logs, verifying server pools, and testing in staging. Update rules via Git and CI/CD to ensure reliability in deployments.

64. What is the role of Akamai's Global Traffic Management?

Akamai's Global Traffic Management optimizes routing across data centers, ensuring low-latency delivery. It aligns with secure DevOps, supporting high-availability applications.

65. Why monitor load balancing metrics?

Monitoring load balancing metrics ensures optimal traffic distribution and uptime. It detects failover issues, aligning with DevOps practices for reliable cloud-native applications.

66. When would you adjust load balancing rules?

Adjust load balancing rules during traffic spikes or server failures to optimize distribution. Test in staging and deploy via CI/CD to ensure performance in workflows.

67. Where are load balancing logs stored?

• Akamai Log Delivery Service: Sends to SIEMs.
• External Log Aggregators: Integrates with Splunk.
• Prometheus Metrics Endpoints: Exposes traffic data.
• Grafana Dashboard Visuals: Displays real-time logs.
• Kubernetes Log Systems: Captures containerized logs.
• Cloud Logging Services: Centralizes for analysis.

68. Who optimizes load balancing performance?

Network engineers optimize load balancing, tuning health checks and weights. They monitor metrics, ensuring efficient traffic flow in cloud-native DevOps environments.

69. Which metrics track load balancing?

• load_balancer_requests_total: Counts traffic volume.
• load_balancer_latency_seconds: Measures response times.
• load_balancer_failover_events: Tracks failover triggers.
• load_balancer_healthcheck_failures: Logs server issues.
• load_balancer_traffic_by_pool: Analyzes pool distribution.
• load_balancer_geo_steering: Monitors location-based routing.

70. How do you scale load balancing?

Scale load balancing by adding server pools, tuning weights, and load-testing in staging. Monitor metrics and update via CI/CD to ensure performance in scenarios.

71. What is the impact of misconfigured load balancers?

Misconfigured load balancers cause uneven traffic or downtime, degrading performance. Review configs, test in staging, and update via Git to ensure reliability in cloud DevOps.

Troubleshooting and Best Practices

72. Why monitor Akamai metrics in production?

Monitoring metrics ensures performance and security, detecting anomalies like cache misses or attack spikes. It supports proactive issue resolution, aligning with DevOps practices for systems.

73. When would you escalate Akamai issues?

Escalate issues when metrics show persistent latency, cache misses, or security breaches. Use incident tools and CI/CD alerts to resolve quickly in DevOps workflows.

74. Where are Akamai logs analyzed?

• Akamai Log Delivery Service: Sends to SIEMs.
• External Log Aggregators: Integrates with Splunk.
• Prometheus Metrics Endpoints: Exposes performance data.
• Grafana Dashboard Visuals: Displays real-time logs.
• Kubernetes Log Systems: Captures containerized logs.
• Cloud Logging Services: Centralizes for analysis.

75. Who troubleshoots Akamai issues?

SREs troubleshoot issues, analyzing latency and security metrics. They collaborate with DevOps to update configs via Git, ensuring optimal delivery in cloud-native systems.

76. Which tools aid Akamai troubleshooting?

• Akamai Diagnostic Tools: Tests connectivity, DNS.
• Prometheus and Grafana: Visualizes performance metrics.
• Terraform Plan Outputs: Validates config changes.
• CI/CD Pipeline Logs: Tracks deployment issues.
• Splunk Log Analysis: Correlates security events.
• Akamai Log Delivery Service: Streams logs to SIEMs.

77. How do you handle SSL/TLS issues in Akamai?

Handle SSL/TLS issues by verifying certificates, enabling HSTS, and checking cipher suites. Test in staging and update via CI/CD to ensure secure connections in deployments.

78. What is the best practice for Akamai configs?

Best practices include automating configs with Terraform, testing in staging, and monitoring metrics. Use Git for version control and CI/CD for updates, ensuring reliability in DevOps workflows.

79. Why use canary deployments with Akamai?

Canary deployments test configs like WAF rules or cache settings on partial traffic, minimizing risks. They ensure stable rollouts, aligning with cloud-native DevOps practices.

80. When would you rollback Akamai changes?

Rollback changes when metrics show degraded performance or security issues post-deployment. Use Git to revert configs and CI/CD to redeploy, ensuring stability in environments.

81. How does Akamai support API security?

Akamai secures APIs with rate limiting, WAF rules, and threat intelligence, preventing abuse. It ensures reliable, secure API delivery in cloud-native microservices environments.

82. What is the role of Akamai in microservices?

Akamai secures and optimizes microservices with WAF, load balancing, and caching, ensuring low-latency communication. It integrates with CI/CD, supporting cloud-native DevOps.

83. Why monitor Akamai metrics in CI/CD?

Monitoring metrics in CI/CD ensures configs meet performance SLAs, detecting regressions early. It streamlines releases, aligning with DevOps practices for reliable cloud-native applications.

84. When do you use Akamai's Edge DNS?

Use Edge DNS for fast, secure resolution with DDoS protection and DNSSEC. It optimizes global traffic, ensuring high-availability applications in cloud-native architectures.

85. Where are Edge DNS configurations stored?

• Akamai Control Center: Manages DNS records.
• Terraform Configuration Files: Defines records as code.
• Git Repositories: Tracks DNS versions.
• API Endpoint Calls: Programmatic DNS updates.
• CI/CD Pipeline Scripts: Automates DNS configs.
• Kubernetes Manifests: Integrates with clusters.

86. Who manages Edge DNS settings?

Network engineers manage Edge DNS settings, configuring records and DNSSEC. They collaborate with DevOps to ensure uptime, aligning with cloud-native performance requirements.

87. Which metrics track Edge DNS performance?

• dns_queries_total: Counts DNS request volume.
• dns_resolution_latency: Measures query response times.
• dns_cache_hit_ratio: Tracks cache efficiency.
• dns_ddos_mitigated: Logs blocked attacks.
• dns_error_rate: Monitors resolution failures.
• dns_traffic_by_zone: Analyzes zone distribution.

88. How do you debug DNS resolution issues?

Debug DNS issues by checking records, analyzing logs, and testing in staging. Update via Git and CI/CD to ensure reliable resolution in cloud-native applications.

89. What is the best practice for Akamai integrations?

Best practices include automating with Terraform, testing in staging, and monitoring metrics. Use Git for version control and CI/CD for updates, ensuring reliability in cloud-native systems.

90. Why use Akamai for video delivery?

Akamai optimizes video delivery with adaptive bitrate, edge caching, and global routing. It ensures smooth playback, reducing buffering in cloud-native media applications.

91. When do you use Akamai's Adaptive Media Delivery?

Use Adaptive Media Delivery for dynamic video streaming, adjusting quality based on bandwidth. It’s ideal for live events, integrating with DevOps for automated scaling.

92. Where are video configs defined?

• Akamai Control Center: Configures streaming behaviors.
• Terraform Configuration Files: Manages as code.
• Git Repositories: Tracks video policy versions.
• API Endpoint Calls: Programmatic config updates.
• CI/CD Pipeline Scripts: Automates video deployments.
• Kubernetes Manifests: Integrates with clusters.

93. Who optimizes video delivery?

Media engineers optimize video delivery, tuning bitrate and caching rules. They collaborate with DevOps to ensure smooth streaming in cloud-native media workflows.

94. Which metrics track video performance?

• video_bitrate_average: Measures quality levels.
• video_buffering_events: Logs buffering incidents.
• video_startup_time: Tracks initial load delays.
• video_traffic_by_quality: Analyzes resolution distribution.
• video_error_rate: Monitors playback failures.
• video_cache_hit_ratio: Tracks edge caching efficiency.

95. How do you scale video streaming?

Scale video streaming by adjusting bitrate ladders, enabling edge caching, and load-testing in staging. Monitor metrics and update via CI/CD to ensure performance in scenarios.

96. What is the impact of poor video optimization?

Poor optimization causes buffering and high abandonment rates, degrading user experience. Tune settings, test in staging, and update via Git to ensure smooth delivery in applications.

97. Why integrate Akamai with observability tools?

Integrating Akamai with observability tools provides end-to-end visibility, correlating edge metrics with backend performance. It supports proactive issue resolution in cloud-native DevOps environments.

98. When would you use Akamai's AppTransaction X-Ray?

Use AppTransaction X-Ray for troubleshooting slow transactions, analyzing end-to-end paths. It’s ideal for complex applications, integrating with DevOps for automated diagnostics.

99. Where are X-Ray data analyzed?

• Akamai Control Center: Displays transaction dashboards.
• External BI Tools: Integrates with Tableau.
• Prometheus Metrics Endpoints: Exposes X-Ray data.
• Grafana Visualization Panels: Real-time metric views.
• Cloud Logging Services: Centralizes for analysis.
• API Query Responses: Retrieves custom data.

100. Who analyzes X-Ray metrics?

Performance analysts analyze X-Ray metrics, identifying bottlenecks in transactions. They collaborate with DevOps to optimize applications in cloud-native environments.

101. Which X-Ray features aid troubleshooting?

• End-to-End Tracing: Maps transaction paths.
• Bottleneck Detection Tools: Identifies slow components.
• Correlation with Logs: Links metrics to events.
• Alerting on Anomalies: Notifies on degradation.
• Integration with RUM: Combines with user data.
• Custom Dashboard Views: Tailors to team needs.