Splunk Enterprise

Splunk technology is used for business and web analytics, application management, compliance, and security. It correlates, captures, and indexes real-time data, from which it creates alerts, dashboards, graphs, reports, and visualizations.

• it offers flexible and scalable data ingestion, supporting diverse data sources and formats, enhancing the organization's data analysis capabilities.
• cost associated with Splunk Enterprise Security is high, the licensing model and overall expenses.
• Platform agnostic tracking and monitoring of systems
• Developers can quickly get up and running on Splunk without requiring large-scale development or major spending on hardware. This provides a great return on investment (ROI) and a rapid time-to-value return.

IBM Security QRadar SIEM, Gurucul SIEM and Securonix Next-Generation SIEM

SentinelOne Singularity, Infoblox DDI (BloxOne)

Splunk Engerprise is used to collect various security logs but for our organization we usually send account login information to Splunk Enterprise to gather analytics of how many people logged in, unsuccessful logins, and also account logouts. Daily reports are generated and are presented at our daily team meetings for management.

• Splunk Enterprise can generate a user lockout report of thousands
• Splunk Enterprise can correlate account lockouts with password spray attacks
• Splunk Enterprise can detect compromise in an account

IBM Security QRadar EDR, Cisco Firepower 4100 Series, Palo Alto Panorama and Cisco Secure Firewall Management Center

Cisco Secure Firewall Management Center, Palo Alto Panorama, Forescout Platform

Splunk Enterprise is used for overall machine log collection, transform the data for better analysis and then use them for various analytical capabilities like dashboarding, monitoring, alerting and reporting.

Data is collected from various sources and is transformed to get a overall operational visibility and quantify key metrices like availability, latency, throughput and identify patterns in application, infrastructure and network logs. The overall visibility helps us to easily identify common issues, proactively capture points of failures, identify network attacks and resolve issues quickly to improve customer satisfaction. It also gives us a chance to improve our services by identifying areas which can be optimized by refactoring code, updating configs or move to better underlying technologies.

• Its a terrific tool to improve operational excellence, issue identification and troubleshooting is so easier the team can quickly fix production issues
• Splunk Enterprise offers scalability which offers high uptime. In my last 5-6 years of Splunk Enterprise usage i never found Splunk Enterprise crashing due to workload.
• Learning curve is steep, Splunk Enterprise can invest in their own code assist features to develop queries as per use case

Dynatrace, IBM Instana and Datadog

Dynatrace, Jenkins, GitHub

Primarily used for logging and track application error events.

Splunk is super good in terms of search and how fast results are populated with easy to use queries. There's a great deal of community support to find whatever required setup the org needs to achieve results.

• Great for monitoring different applications
• Enabling faster response times for production issues
• Ease of use and easy to deploy

SolarWinds Hybrid Cloud Observability, LevelBlue Cybersecurity Consulting and Professional Services, AlienVault OSSIM (discontinued) and New Relic

New Relic, SolarWinds Hybrid Cloud Observability, LevelBlue Cybersecurity Consulting and Professional Services

Splunk enterpirse serves as a central hub for machine-generated data across entire organization. It is deployed on-premise, allowing us to ingest, index and manage data from thousands of sources. we primarily use Splunk for multiple purposes like - 1) centralized loggin and monitoring. 2) searching and analysis. 3) proactive alaering and visualization. Splunk is critial for solving major business challenges related to visibiliy, efficiency and risk management. like -Lack of operational visibility. - Slow incident response and troubleshooting. - Ineffective threat detection.

• Positive impacts on business objective (high ROI) are - Reduced downtime. By centralizing log and machine data, it enables teams to troubleshoot and resolve IT issues much faster, often reducing MTTR by 50-80 %.
• Another positive impact is Preventive maintenance - real time monitoring and anomaly detection allow organizations to identify issues before they cause critical system failures.
• Negative impacts on business objectives (risk of low ROI) - high TCO - Ingestion-based pricing risk - this licensing model can be a major challenge.

Microsoft Sentinel

Tableau Desktop, Microsoft Power BI