Carlos Moreno Buitrago is a cybersecurity and observability specialist focused on Splunk architecture, operations, and administration. He designs end-to-end data pipelines related to log, metric, and event flows, from source to search, with a strong emphasis on governance, reliability, and cost control. Carlos has deep hands-on experience with Cribl for routing, shaping, enrichment, and ROI optimization, alongside Splunk features like indexer/search head clustering, HEC, CIM/data models, and Enterprise Security content. Additionally, Carlos has worked across leading security and networking stacks, bridging security operations with platform engineering. That experience helps teams turn messy telemetry into trustworthy, searchable data that powers real-world detections and business insights. Deep Mehta is an AWS Certified Associate Architect, Docker Certified Associate, Certified Splunk Architect (ongoing), and Certified Splunk User, Power User, and Admin. He’s worked on the Splunk platform since 2017, having experience consulting in the telecommunication, aviation, and healthcare industries. Apart from being passionate about big data technologies, he also loves playing squash and badminton.

Select Guide Rating

• Part 1: Splunk Architecture , Splunk SPL(Search Processing Language) and Splunk Knowledge Objects.- Chapter 1: Overview Of Splunk.- Chapter 2:Splunk Search Processing Language.- Chapter 3:Macros,Field Extraction and Field Aliases.- Chapter 4:Tags,Lookups and Correlating Events .- Chapter 5: Data models, Pivot and CIM.- Chapter 6: Knowledge Manager and Dashboard in Splunk.- Chapter 7: Splunk User/Power User Exam set.- Part 2: Splunk Data Administration and System Administration.- Chapter 8: Splunk Licenses, Indexes and role Management.- Chapter 9: Machine Data using Splunk forwarder and clustering.- Chapter 10: Splunk Advanced Data Inputs.- Chapter 11: Splunk Advanced .Conf file and Diag.- Chapter12: Splunk Admin Exam set.- Part 3: Advanced Splunk.- Chapter 13: Infrastructure planning with Indexer and Search Head Clustering.- Chapter 14: Troubleshooting in Splunk.- Chapter 15: Advanced Deployment in Splunk.- Chapter 16: Advanced Splunk.- Chapter 17: Final Practice set.- 18: Chapter 18: Setting up a Splunk Environment with AWS.

Carlos Moreno Buitrago is a cybersecurity and observability specialist focused on Splunk architecture, operations, and administration. He designs end-to-end data pipelines related to log, metric, and event flows, from source to search, with a strong emphasis on governance, reliability, and cost control. Carlos has deep hands-on experience with Cribl for routing, shaping, enrichment, and ROI optimization, alongside Splunk features like indexer/search head clustering, HEC, CIM/data models, and Enterprise Security content. Additionally, Carlos has worked across leading security and networking stacks, bridging security operations with platform engineering. That experience helps teams turn messy telemetry into trustworthy, searchable data that powers real-world detections and business insights. Deep Mehta is an AWS Certified Associate Architect, Docker Certified Associate, Certified Splunk Architect (ongoing), and Certified Splunk User, Power User, and Admin. He’s worked on the Splunk platform since 2017, having experience consulting in the telecommunication, aviation, and healthcare industries. Apart from being passionate about big data technologies, he also loves playing squash and badminton.

Select Guide Rating

• Part 1: Splunk Architecture , Splunk SPL(Search Processing Language) and Splunk Knowledge Objects.- Chapter 1: Overview Of Splunk.- Chapter 2:Splunk Search Processing Language.- Chapter 3:Macros,Field Extraction and Field Aliases.- Chapter 4:Tags,Lookups and Correlating Events .- Chapter 5: Data models, Pivot and CIM.- Chapter 6: Knowledge Manager and Dashboard in Splunk.- Chapter 7: Splunk User/Power User Exam set.- Part 2: Splunk Data Administration and System Administration.- Chapter 8: Splunk Licenses, Indexes and role Management.- Chapter 9: Machine Data using Splunk forwarder and clustering.- Chapter 10: Splunk Advanced Data Inputs.- Chapter 11: Splunk Advanced .Conf file and Diag.- Chapter12: Splunk Admin Exam set.- Part 3: Advanced Splunk.- Chapter 13: Infrastructure planning with Indexer and Search Head Clustering.- Chapter 14: Troubleshooting in Splunk.- Chapter 15: Advanced Deployment in Splunk.- Chapter 16: Advanced Splunk.- Chapter 17: Final Practice set.- 18: Chapter 18: Setting up a Splunk Environment with AWS.

Carlos Moreno Buitrago is a cybersecurity and observability specialist focused on Splunk architecture, operations, and administration. He designs end-to-end data pipelines related to log, metric, and event flows, from source to search, with a strong emphasis on governance, reliability, and cost control. Carlos has deep hands-on experience with Cribl for routing, shaping, enrichment, and ROI optimization, alongside Splunk features like indexer/search head clustering, HEC, CIM/data models, and Enterprise Security content. Additionally, Carlos has worked across leading security and networking stacks, bridging security operations with platform engineering. That experience helps teams turn messy telemetry into trustworthy, searchable data that powers real-world detections and business insights. Deep Mehta is an AWS Certified Associate Architect, Docker Certified Associate, Certified Splunk Architect (ongoing), and Certified Splunk User, Power User, and Admin. He’s worked on the Splunk platform since 2017, having experience consulting in the telecommunication, aviation, and healthcare industries. Apart from being passionate about big data technologies, he also loves playing squash and badminton.

Select Guide Rating

• Part 1: Splunk Architecture , Splunk SPL(Search Processing Language) and Splunk Knowledge Objects.- Chapter 1: Overview Of Splunk.- Chapter 2:Splunk Search Processing Language.- Chapter 3:Macros,Field Extraction and Field Aliases.- Chapter 4:Tags,Lookups and Correlating Events .- Chapter 5: Data models, Pivot and CIM.- Chapter 6: Knowledge Manager and Dashboard in Splunk.- Chapter 7: Splunk User/Power User Exam set.- Part 2: Splunk Data Administration and System Administration.- Chapter 8: Splunk Licenses, Indexes and role Management.- Chapter 9: Machine Data using Splunk forwarder and clustering.- Chapter 10: Splunk Advanced Data Inputs.- Chapter 11: Splunk Advanced .Conf file and Diag.- Chapter12: Splunk Admin Exam set.- Part 3: Advanced Splunk.- Chapter 13: Infrastructure planning with Indexer and Search Head Clustering.- Chapter 14: Troubleshooting in Splunk.- Chapter 15: Advanced Deployment in Splunk.- Chapter 16: Advanced Splunk.- Chapter 17: Final Practice set.- 18: Chapter 18: Setting up a Splunk Environment with AWS.