Datadog Features

Gathers information related to threats in order to gain further information on remedies.

Information on each incident is stored in databases for user reference and analytics.

Produces reports detailing trends and vulnerabilities related to their network and infrastructure.

Analyzes recurring incidents and remedies to ensure optimal resource usage.

Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.

Adminstrators can access and organize data related to incidents to produce reports or make data more navigable.

Monitors web-content ensuring all assets and resources are displayed as intended, alerting administrators as issues arise.

Alert over email, text, phone call, or more to multiple parties.

Provides information related to unnecessary spending and unused resources relating to their digital offerings.

Sets a standard performance baseline by which to compare live network activity.

Charts or graphs live and historical network performance for quick status checking and analysis.

Gives insights into which specific network paths are performing suboptimally.

Integrates with a variety of IT systems.

Automatically alerts necessary parties via email, text, or call when issues are identified.

Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution.

Consolidate IT systems monitoring overviews to a single pane for quick insights.

Offer pre-built and custom reporting and dashboards for quick insights into system states.

Set expected baselines for system functions.

Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors.

Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.

Keeps records of each network asset and its activity. Discovers new assets accessing the network.

Provides security information and stores the data in a secure repository for reference.

Alerts users of incidents and allows users to intervene manually or triggers an automated response.

Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Documents cases of abnormal activity and compromised systems.

Information on each incident is stored in databases for user reference and analytics.

Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.

Produces reports detailing trends and vulnerabilities related to their network and infrastructure.

Stores information related to common threats and how to resolve them once incidents occur.

Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised.

Allows users to customize analytics with granulized metrics that are pertinent to your specific resources.

Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents.

Allows users to schedule instances, changes or other operational tasks in advance.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Allows users to track and control cloud spend across cloud services and providers.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Ability to project spend based on contracts, usage trends, and predicted growth.

Provides use-specific recommendations regarding performance and resource utilization.

Provides ability to track and/or map spending on all cloud spend across departments with little to no manual entry.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Helps companies ensure they meet their industry-specific compliance needs for data management and privacy standards.

Actively monitor status of work stations either on-premise or remote.

Allows users to track and control cloud spend across cloud services and providers.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Automatically scales resources based on demand and optimizes for performance and cost.

Sets and allows adjustment of website baseline functionality and configuration.

Generates alerts for whenever a website goes down, experiences an error, makes a major change, or other events.

Monitor multiple websites at once, organizing them with dashboards.

Generate reports manually or automatically about website performance.

Alert over email, text, phone call, and more to multiple parties.

Isolate geographic locations where website functionality is best and worst.

Monitors database functionality to verify baselines are maintained or exceeded.

Sends alerts via email, text, phone, and more when an incident or issue occcurs.

Captures logs for all database functions to garner greater information around issues or failures.

Monitors database query time for unusual execution times

Manually and/or automatically generates reports covering database performance

Follows database monitoring live information through graphical dashboards

Continuously monitors network performance across the entire span of a network.

Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures.

Suggests potential remedies or improvements to slowdowns, errors, or failures.

Provides monitoring capabilities for multiple networks at once.

Provides monitoring capabilities for multiple networks at once.

Constantly monitors activity related to user behavior and compares activity to benchmarked patterns.

Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.

Provides features to allow scaling for large organizations.

Utilizes artificial intelligence to analyze big data.

Utilizes machine learning to analyze big data.

Monitors logs and activities from a wide range of IT systems.

Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks.

Generate real-time high-level and/or in-depth analytics regarding monitored systems activity.

Generate insights into IT systems utilizing event metrics, logging, traces, and metadata.

Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors.

Monitors and test apps to address issues before they affect end users.

Provides dynamic end-to-end maps of every single transaction.

Monitors cloud microservices, containers, kubernetes, and other cloud native software.

Provides users with real-time information on how individuals are using accessibility accomodation tools to interact with the site or application.

Tracks application and infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Allow administrators to gain valuable insights related to end-user behavior.

Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events.

Provides tools to track and measure application or website performance.

Track problems and manage resolutions related to end-user experience issues.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Captures and analyzes each transaction by users of a website or application in real time.

Provides high-frequency metrics data.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Monitors performance and statistics related to memory, caches and connections.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Constantly monitors system to detect anomalies in real time.

Enables monitoring of security and compliance standards across cloud infrastructure.

Observe the general health and status of connected devices.

Receive timely notifications about system issues or abnormalities.

Collect data related to device processes and conditions.

Optimizes resource allocation.

Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time.

Sets up standard performance baseline to compare live container activities.

Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

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

Allows users to search logs for troubleshooting and open-ended exploration of data.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Allows users to track log trends.

Facilitates Artificial Intelligence (AI) or Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.

Constantly monitors traffic and activity. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Diagnoses and resolves incidents without the need for human interaction.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Directly identifies, or increases identification speed for, root causes for IT system issues.

Proactively identifies trends on IT systems that could lead to failures or errors.

Directly identifies, or increases identification speed for, root causes for container issues.

Provides paths, suggestions, or other general assistance towards issue resolution.

Proactively identifies trends on container systems that could lead to failures or errors.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Clearly notifies users with relevant information and anomalies in a timely manner.

Creates reports outlining log activity and relevant metrics.

Automatically allocates resources to address log anomalies.

Sets a standard performance baseline by which to compare log activity.

Constantly monitors logs to detect anomalies in real time.

Allows users to track and control resource spend and loads across multiple servers.

Automatically allocates resources to optimize loads across servers.

Sets a standard performance baseline by which to compare live server activity.

Constantly monitors server to detect anomalies in real time.

Ability of the monitoring software to immediately alert the user in case of any issue.

Deploys remedial actions proactively. If this measure fails, then the user is alerted.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Clearly notifies team members with relevant information and anomalies in a timely manner.

Creates reports outlining load distribution, performance and other relevant metrics.

Provides useful pre-defined data connections to various types of IoT sensors and objects.

Provides a robust external interface for integrating data, logic and workflows with other software applications.

Maintains an efficient, reliable data flow with established sources.

Run detailed queries for searching, sorting, and analyzing data.

Create personalized dashboards for observing and interacting with data.

Contains tools to visualize data sets or workflows.

Offers actionable insights or relevant findings from unstructured data sets.

Track the individual performance of connected devices.

Learn about overall operational performance from device observations.

Make observations about environmental and workplace conditions.

Measure the usage of and/or demand for various resources.

Automatically discovers available devices in the local network.

Recognizes a variety of sensor and device types.

Has a centralized dashboard of connected devices for users to interact with.

Modify device or sensor settings from anywhere.

Allows for remote execution of device actions and events.

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

Visualize log data on dashboards

Drill down and explore data to discover new insights

Supports public, hybrid and private cloud environments.

Software can scale as the enterprises adds more servers to their portfolio virtually.

Alerts over email, text, phone call, or more to multiple parties.

Provides information related to unnecessary spending and unused resources.

Gives alerts when incidents arise.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Offers full observability of all network environments, including on-premises, cloud, SD-WAN, WLAN, and edge computing.

Automatically detects and maps all network devices and architectures, reducing manual effort and improving visibility.

Provides true real-time network monitoring to detect and resolve issues instantly, rather than relying on near-time data.

Uses AI-driven analysis of historical and real-time data to forecast network issues before they impact performance.

Combines packet and flow analysis techniques to provide a comprehensive view of network traffic and performance.

Ensures all monitored network data is securely encrypted both in transit and at rest.

Supports integration with Zero Trust frameworks and identity management solutions to enhance network security.

Unifies network performance monitoring with security intelligence to identify and mitigate threats in real-time.

Continuously analyzes and adjusts network configurations to optimize performance and reliability.

Automates routine network monitoring tasks, reducing operational overhead and human error.

Uses machine learning to identify network anomalies, preventing security and performance issues before they escalate.

Automates corrective actions for common network issues, reducing downtime and manual intervention.

Leverages AI to anticipate hardware failures, capacity issues, and performance bottlenecks before they occur.

Ingests and processes multiple telemetry types, such as logs, metrics, and traces.

Supports ingestion and standardization of observability data via OpenTelemetry protocol.

Displays relationships between services to visualize system dependencies.

Provides a consolidated view of system-wide telemetry in a single dashboard.

Allows users to explore and visualize distributed traces and span relationships.

Correlates logs, metrics, and traces to surface performance patterns and root causes.

Identifies likely causes of issues using system insights and correlation logic.

Automatically alerts users to anomalies or critical events using contextual data.

Provides observability into containerized workloads and Kubernetes clusters.

Enables observability across public cloud, private cloud, and on-prem environments.

Forecasts future system issues based on historical performance trends.

Summarizes incident root causes and potential fixes using generative AI.

Uses machine learning to detect unusual behavior across telemetry data.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

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

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

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

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

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

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

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

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

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

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

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

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

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

Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics.

Provides AI-generated insights and actionable recommendations to optimize resource performance and cost.

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