Cribl Features

Automatically collect logs from all your services, applications, and platforms

Automate the indexing of machine data that's critical to your operations

See log data in context with automated tagging and correlation

Mix and match data from apps, hosts, containers, services, networks, and more

Allows user to track log trends.

Identify and predict anomalies in real-time with outlier detection and uncover root-causes

Analyze both metric and event data on the same platform regardless of source or structure

Search your logs for troubleshooting and open-ended exploration of your data

Create alerts based on search patterns, thresholds for specific log metrics, or other conditions

See your data, in real time, streaming into the system from multiple data sources

Receive data and information in real time

Visualize log data on dashboards

Drill down and explore data to discover new insights

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Alter the layout and content of dashboards

Ensure data is stored and searchable

Trim unnecessary data from logs

Migrate logs from any origin to any destination

Add context to log data for better analysis

Transform data into different formats

Save money on data ingest and reduce storage and compute costs

Create a map for all data pipeline

Integrate with mainstream data, monitoring, and security platforms

Pinpoint source of the problems from observability data

Enable sentiment-based classification of alerts

Learn what is normal for any given data type

Maintain GDPR, PCI DSS certifications, SOC1 & SOC2 compliance

Find and mask PII in the stream

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Set up connections to third-party platforms to improve business processes

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Conduct tracking and assessment of application and device behavior without breaks or interruptions

View and track pertinent metrics to find patterns and gain insights from data

Analyze and gain insights into data in real-time

Record and follow the progress of every issue

Automatically identify unusual behavior

Interact with data visualization elements, such as charts and graphs, to drill down into data

Graphical representation of data

Observe and track the demand, usage, progress or quality of a system, product, or user

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Use AI to generate content in the form of text, images, videos, etc.

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Search and filter data across systems to locate required information by entering keywords or certain criteria

Import and export data to and from software applications

Grouping log entries based on similar attributes.

A record of all activities within the system, including user access, changes made, etc.

Filtering incoming messages/alerts and detecting patterns to spot anomalies.

Tools for the systematic analysis of various types of data or statistics

Track and document all activities across devices, networks, and other systems

Collects and aggregates data from various systems within the IT environment

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Analyzing computer-generated records called logs to identify the root cause of errors, bugs, security threats, or other risks

A chronological record of actions or occurrences within a network, software, or process

Analyze survey results via statistical testing or crosstabs directly within the software

Compliant with HIPAA, which sets standards for sensitive patient data protection

Predict future data based on historical data sets

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Securely stores data to prevent data loss or breaches

Creation and customization of dashboards

Active monitoring of systems, applications, or networks

System alerts about the need to escalate an issue or request

Identify and orchestrate execution of actions needed to restore systems to optimal conditions

Track and report regulatory data to either internal management or external stakeholders

Allow users to access multiple services after entering their login credentials once

Arrange tasks based on the level of priority or urgency

Track the availability time for a designated network or website over a given period of time

Automatically renames, resizes/compresses, archives or deletes old or oversized log files

Notifications that are delivered to users as soon as an event occurs

Track and manage adherence to policies for any service, product, process, or supplier

Log files automatically created for all activities performed by servers, such as a history of web page requests

Manage and track all disruptions and incidents

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Store, process, and transmit cardholder data in compliance with the Payment Card Industry Data Security Standard (PCI DSS)

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

Splits and groups log data automatically or according to user-defined rules

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Application programming interface that allows for integration with other systems/databases

Access client's system information, including hardware and software configuration, to perform diagnostics

Alter the layout and content of reports

Active reporting of data and metrics

Create, manage, and track policies and procedures within an organization

Identify and respond to unexpected problems or failures (ie. "negative events")

Discover patch statuses and vulnerabilities