Middleware Features
Monitoring (14)
Usage Monitoring
26 reviewers of Middleware have provided feedback on this feature.
Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.
Database Monitoring
26 reviewers of Middleware have provided feedback on this feature.
Monitors performance and statistics related to memory, caches and connections.
API Monitoring
This feature was mentioned in 26 Middleware reviews.
Detects anomalies in functionality, user accessibility, traffic flows, and tampering.
Real-Time Monitoring - Cloud Infrastructure Monitoring
Based on 25 Middleware reviews.
Constantly monitors system to detect anomalies in real time.
Security and Compliance Monitoring
13 reviewers of Middleware have provided feedback on this feature.
Enables monitoring of security and compliance standards across cloud infrastructure.
Performance Baselines
18 reviewers of Middleware have provided feedback on this feature.
Performance Analysis
Based on 18 Middleware reviews.
Performance Monitoring
This feature was mentioned in 18 Middleware reviews.
AI/ML Assistance
17 reviewers of Middleware have provided feedback on this feature.
Multi-System Monitoring
14 reviewers of Middleware have provided feedback on this feature.
Resource utilization
This feature was mentioned in 12 Middleware reviews.
Optimizes resource allocation.
Real-time monitoring
12 reviewers of Middleware have provided feedback on this feature.
Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time.
Performance baseline
This feature was mentioned in 12 Middleware reviews.
Sets up standard performance baseline to compare live container activities.
API monitoring
This feature was mentioned in 12 Middleware reviews.
Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering.
Administration (4)
Activity Monitoring
This feature was mentioned in 25 Middleware reviews.
Actively monitor status of work stations either on-premise or remote.
Multi-Cloud Management
This feature was mentioned in 25 Middleware reviews.
Allows users to track and control cloud spend across cloud services and providers.
Automation
As reported in 26 Middleware reviews.
Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.
Auto-Scaling & Resource Optimization
This feature was mentioned in 13 Middleware reviews.
Automatically scales resources based on demand and optimizes for performance and cost.
Analysis (13)
Reporting
As reported in 26 Middleware reviews.
Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.
Dashboards and Visualizations
Based on 25 Middleware reviews.
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Spend Forecasting and Optimization
Based on 25 Middleware reviews.
Ability to project spend based on contracts, usage trends, and predicted growth.
Track Trends
Based on 10 Middleware reviews.
Allows user to track log trends.
Detect Anomalies
10 reviewers of Middleware have provided feedback on this feature.
Identify and predict anomalies in real-time with outlier detection and uncover root-causes
Metric and Event Data
Analyze both metric and event data on the same platform regardless of source or structure
Search
Search your logs for troubleshooting and open-ended exploration of your data
Alerts
As reported in 10 Middleware reviews.
Create alerts based on search patterns, thresholds for specific log metrics, or other conditions
Live Tail
Based on 10 Middleware reviews.
See your data, in real time, streaming into the system from multiple data sources
Search
Allows users to search logs for troubleshooting and open-ended exploration of data.
Reporting
This feature was mentioned in 12 Middleware reviews.
Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.
Visualization
This feature was mentioned in 12 Middleware reviews.
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Track trends
Based on 12 Middleware reviews.
Allows users to track log trends.
Visibility (3)
Dashboards and Visualizations
Based on 11 Middleware reviews.
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Alerts and Notifications
This feature was mentioned in 12 Middleware reviews.
Clearly notifies users with relevant information and anomalies in a timely manner.
Reporting
11 reviewers of Middleware have provided feedback on this feature.
Creates reports outlining log activity and relevant metrics.
Monitoring and Management (3)
Automation
As reported in 11 Middleware reviews.
Automatically allocates resources to address log anomalies.
Performance Baseline
11 reviewers of Middleware have provided feedback on this feature.
Sets a standard performance baseline by which to compare log activity.
Real-Time Monitoring
As reported in 11 Middleware reviews.
Constantly monitors logs to detect anomalies in real time.
Data Preparation (4)
Data Sources
10 reviewers of Middleware have provided feedback on this feature.
Automatically collect logs from all your services, applications, and platforms
Indexing
As reported in 10 Middleware reviews.
Automate the indexing of machine data that's critical to your operations
Automated Tagging
Based on 10 Middleware reviews.
See log data in context with automated tagging and correlation
Data Blending
Mix and match data from apps, hosts, containers, services, networks, and more
Visualization (2)
Dashboards
Visualize log data on dashboards
Data Discovery
Based on 10 Middleware reviews.
Drill down and explore data to discover new insights
Response (3)
Dashboards and Visualization
Based on 18 Middleware reviews.
Incident Alerting
This feature was mentioned in 16 Middleware reviews.
Root Cause Analysis (RCA)
As reported in 18 Middleware reviews.
Performance (2)
Real User Monitoring (RUM)
This feature was mentioned in 19 Middleware reviews.
Captures and analyzes each transaction by users of a website or application in real time.
Second by Second Metrics
This feature was mentioned in 17 Middleware reviews.
Provides high-frequency metrics data.
Functionality (4)
Synthetic Monitoring
17 reviewers of Middleware have provided feedback on this feature.
Monitors and test apps to address issues before they affect end users.
Dynamic Transaction Mapping
17 reviewers of Middleware have provided feedback on this feature.
Provides dynamic end-to-end maps of every single transaction.
Load Balancing
As reported in 18 Middleware reviews.
Automatically adjusts resources base on application usage.
Cloud Observability
Based on 18 Middleware reviews.
Monitors cloud microservices, containers, kubernetes, and other cloud native software.
Alerts management (3)
Multi-mode alerts
12 reviewers of Middleware have provided feedback on this feature.
Alerts over email, text, phone call, or more to multiple parties.
Opimization alerts
As reported in 12 Middleware reviews.
Provides information related to unnecessary spending and unused resources.
Incident alerts
12 reviewers of Middleware have provided feedback on this feature.
Gives alerts when incidents arise.
Automation (2)
Resolution automation
As reported in 12 Middleware reviews.
Diagnoses and resolves incidents without the need for human interaction.
Automation
As reported in 12 Middleware reviews.
Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.
Issue Resolution (3)
Root cause identification
12 reviewers of Middleware have provided feedback on this feature.
Directly identifies, or increases identification speed for, root causes for container issues.
Resolution guidance
12 reviewers of Middleware have provided feedback on this feature.
Provides paths, suggestions, or other general assistance towards issue resolution.
Proactive identification
Based on 12 Middleware reviews.
Proactively identifies trends on container systems that could lead to failures or errors.
Generative AI (1)
AI Text Generation
Allows users to generate text based on a text prompt.
Data Management - Observability Pipeline (5)
Data Storage
Ensure data is stored and searchable
Data Optimization and Reduction
Trim unnecessary data from logs
Data Migration
Migrate logs from any origin to any destination
Log Context Enrichment
Add context to log data for better analysis
Data Format Transformation
Transform data into different formats
Performance - Observability Pipeline (3)
Cost Reduction
Save money on data ingest and reduce storage and compute costs
Pipeline Visualization
Create a map for all data pipeline
Platform Agnostic Integration
Integrate with mainstream data, monitoring, and security platforms
AI - Observability Pipeline (3)
Root Cause Analysis
Pinpoint source of the problems from observability data
Alert Fatigue Reduction
Enable sentiment-based classification of alerts
Anomaly Detection
Learn what is normal for any given data type
Compliance - Observability Pipeline (2)
Compliance Maintenance
Maintain GDPR, PCI DSS certifications, SOC1 & SOC2 compliance
Sensitive Data Detection
Find and mask PII in the stream
Telemetry Collection & Ingestion - Observability (2)
Multi-Telemetry Ingestion
Ingests and processes multiple telemetry types, such as logs, metrics, and traces.
OpenTelemetry Support
Supports ingestion and standardization of observability data via OpenTelemetry protocol.
Visualization & Dashboards - Observability (3)
Service Dependency Mapping
Displays relationships between services to visualize system dependencies.
Unified Dashboard
Provides a consolidated view of system-wide telemetry in a single dashboard.
Trace Visualization
Allows users to explore and visualize distributed traces and span relationships.
Correlation & Root Cause Analysis - Observability (3)
Cross-Telemetry Correlation
Correlates logs, metrics, and traces to surface performance patterns and root causes.
Root Cause Detection
Identifies likely causes of issues using system insights and correlation logic.
Intelligent Alerting
Automatically alerts users to anomalies or critical events using contextual data.
Scalability & Ecosystem Integration - Observability (2)
Kubernetes Monitoring
Provides observability into containerized workloads and Kubernetes clusters.
Hybrid/Multi-Cloud Support
Enables observability across public cloud, private cloud, and on-prem environments.
AI Features - Observability (3)
Predictive Insights
Forecasts future system issues based on historical performance trends.
AI-Generated Incident Summaries
Summarizes incident root causes and potential fixes using generative AI.
AI Anomaly Detection
Uses machine learning to detect unusual behavior across telemetry data.
Agentic AI - Application Performance Monitoring (APM) (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Log Analysis (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - IT Alerting (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Cloud Infrastructure Monitoring (6)
Multi-step Planning
This feature was mentioned in 12 Middleware reviews.
Ability to break down and plan multi-step processes
Cross-system Integration
This feature was mentioned in 11 Middleware reviews.
Works across multiple software systems or databases
Adaptive Learning
As reported in 12 Middleware reviews.
Improves performance based on feedback and experience
Natural Language Interaction
This feature was mentioned in 12 Middleware reviews.
Engages in human-like conversation for task delegation
Proactive Assistance
This feature was mentioned in 12 Middleware reviews.
Anticipates needs and offers suggestions without prompting
Decision Making
This feature was mentioned in 12 Middleware reviews.
Makes informed choices based on available data and objectives
Agentic AI - Log Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Observability Pipeline (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
AI Automation - Cloud Infrastructure Monitoring (2)
AI-Powered Anomaly Detection
Based on 12 Middleware reviews.
Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics.
AI-Driven Insight Recommendations
This feature was mentioned in 12 Middleware reviews.
Provides AI-generated insights and actionable recommendations to optimize resource performance and cost.
Agentic AI - Observability Software (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
