Key Features

• Device Diversity: Review and analyze data on different devices, ranging from tablet to smartphone and desktop. 
• AI and Machine Learning: Incorporates data from many sources, including software operations, APIs, diagnostic commands and more. Integrated tools and guided data onboarding make things simple. Automatically identify, predict and self-heal IT, security, DevOps and business issues. 
• Apps and Plugins: Includes several modular apps and plugins such as Splunk DB Connect, Splunk App Stream, Splunk for Big Data and more. 
• Analysis and Prediction: Comes with advanced analytics collection, analysis and prediction features. 
• Specialty Tools: A range of products are available for IT, DevOps and security use cases, providing purpose-built tools that cater to those unique needs. Includes service intelligence, AWS management, user behavior analytics, APM, infrastructure monitoring and incident management. 

Splunk Cloud

• Scalability: Manage data analytics needs, infrastructure management and data compliance. Designed to handle sudden bursts in data volume, it helps upgrade capacity incrementally and retain security by design.
• Connected Experience: Drive contextual insights and improve productivity using mobile apps, natural language capabilities, virtual reality and augmented reality. Extend the utility of the solutions to any location and empower more users beyond technical experts to monitor and act on data.
• Security: Authorized by FedRAMP, it helps drive confident decisions and decisive actions. Ingest data in real time to address a variety of challenges across various programs and initiatives.

Splunk Enterprise

• Dashboards: Quickly create and customize charts, reports and re-usable panels, and share them across enterprise.
  • Present data in a compelling and actionable way using visualization tools.
  • Analyze complex data to identify issues and opportunities.
  • Customize dashboards to display relevant information for different audiences and use cases.
 
• Monitoring and Alerting:
  • Monitor events, conditions and critical KPIs to run operations smoothly.
  • Create real-time dashboards and visualizations using scheduled searches to keep teams and management informed.
  • React instantly to data with alerts on metrics or events.
  • Convert logs into metrics, and boost search, monitoring and alerting functions.
• Reporting:Create reports in real time, schedule at any interval and use in dashboards. Save and share them in secure, read-only formats like PDFs.

Splunk Data Stream Processor

• Data Privacy: Improve compliance with GDPR and other regulations by protecting sensitive information. Control destinations to receive specific subsets of data.
• Real-Time Insights: Analyzes and crunches data in real time, ensuring timely and up-to-date insights. Identify data trends and patterns using manipulation functions to prevent threats as well as respond to business opportunities.
• Operational Efficiency: Manage and distribute data from multiple sources in a single place. Reduces coding with a graphical UI and supports automatically designing and executing data pipelines using pipeline logic and machine learning.
• Data Delivery: Built atop Apache Kafka, DSP ensures data delivery and scalability. It helps:  
  • Provide access to data streaming or distribute subsets to varying destinations.
  • Evaluate and manipulate data seamlessly using a drag-and-drop UI.
  • Detect source types to categorize data and leverage prebuilt pipelines by creating templates for future use.

Limitations

• Complex queries might require large CPU usage, freezing or slowing down the system.
• Difficult to implement without thorough understanding of all moving parts.
• Lot of programming makes it difficult for laymen to write queries.

Suite Support