AI TOOL PROFILE
CubeAPM: Application Performance Monitoring & Observability
- Software Development
- Application Performance Monitoring
- Software companies
- Enterprise engineering teams
- Companies with data localization requirements
- Teams using OpenTelemetry
Pricing
Pricing is usage-based at $0.15/GB for data ingestion. Pro plans include free user licenses and are billed annually.
At a glance
- Best for
- Software companies, Enterprise engineering teams, Companies with data localization requirements, Teams using OpenTelemetry
- Key use cases
- Monitoring Cloud-Native Applications, Maintaining Data Compliance, Managing Infrastructure Health, Managing Observability Costs
- Integrations
- OpenTelemetry, Prometheus, Slack, Jira, PagerDuty
- Official website
- Visit CubeAPM official website
How AI is used
CubeAPM is a full-stack observability platform designed to run on-premises within a customer's own cloud infrastructure. It provides monitoring tools including application performance monitoring (APM), log management, and infrastructure tracking, while keeping data local to avoid egress costs.
The tool is built for engineering teams managing microservices, containers, and cloud-native environments. It is natively built on OpenTelemetry, which helps teams use standard instrumentation to avoid vendor lock-in.
By combining tracing, error tracking, and synthetic monitoring, it helps teams identify bottlenecks and resolve incidents. Because it resides in the customer's VPC, it is designed for organizations with data privacy requirements.
Buyers should confirm their internal capacity for managing an on-prem installation, although the vendor provides management for upgrades and patches. Users should also verify that the usage-based pricing model aligns with their data ingestion volumes.
Key Features
On-Prem Deployment
Runs inside the customer's cloud environment so that telemetry data remains within the local infrastructure.
AI-Based Sampling
Uses tail-based sampling to store meaningful traces and reduce storage requirements.
Unlimited Data Retention
Supports long-term storage of logs, traces, and metrics.
OpenTelemetry Native
Built on OpenTelemetry standards to provide flexibility and avoid vendor lock-in.
Kubernetes Monitoring
Provides performance insights for Kubernetes clusters, nodes, and pods.
Real User Monitoring (RUM)
Tracks user journeys and performance bottlenecks in real time.
Synthetic Monitoring
Uses scripted tests to simulate user journeys and detect issues before they impact customers.
Error Tracking
Groups and analyzes errors in real time to help identify root causes.
Use Cases
Monitoring Cloud-Native Applications
Tracking performance across microservices, APIs, and containers using distributed tracing.
Maintaining Data Compliance
Running observability tools on-prem to help meet SOC 2 and ISO 27001 standards by keeping data local.
Managing Infrastructure Health
Monitoring hosts, databases, and Kubernetes pods to identify resource bottlenecks.
Managing Observability Costs
Using an on-prem model to avoid cloud public egress and transfer fees.
Integrations
- OpenTelemetry
- Prometheus
- Slack
- Jira
- PagerDuty
- Microsoft Teams
- AWS
- Google Cloud
- Kubernetes
FAQ
How does CubeAPM handle data privacy and compliance?
- CubeAPM runs on-premises within the customer's own cloud infrastructure, ensuring no data is sent out. It adheres to SOC 2 and ISO 27001 compliance standards.
What is the pricing model for CubeAPM?
- CubeAPM uses a usage-based pricing model starting at $0.15/GB for data ingestion, and Pro plans include free user licenses.
How long does it take to migrate to CubeAPM from other tools?
- The vendor states that most teams can switch in under 60 minutes because the platform supports agents from OpenTelemetry, Datadog, and New Relic.
Source category: Software Development
Source subcategory: Application Performance Monitoring
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