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What is OverOps?

OverOps swiftly detects significant problems in backend Java or .NET applications during runtime, removing the necessity to sift through logs for repetitive issues. Unlike logs, static analysis, or APM that depend on prior knowledge, OverOps performs real-time code analysis without necessitating any modifications to the code. Furthermore, it seamlessly integrates with your current CI/CD tools and maintains its functionality throughout the entire development lifecycle, from pre-production to deployment in a live environment. This capability ensures that developers can focus more on building features rather than troubleshooting.

What is Dash0?

Engineering teams that adopt OpenTelemetry often hit the same wall: instrumentation is standardized, but the backend receiving it is not. Dash0 was built to close that gap. Every signal, whether a trace, a log record, a metric, or the resource emitting it, is stored against OpenTelemetry semantic conventions and correlated automatically. A request that ran long can be examined next to the log lines it produced and the pod it ran on, with no manual joins and no hopping between products. Ingestion happens through a standard OTLP endpoint. Nothing proprietary gets deployed, and existing instrumentation keeps working untouched. Because the wire format is open, data can be redirected to a different destination later without changes to application code. Prometheus users are treated as first-class. Full PromQL is supported, existing recording and alerting rules carry over, and Grafana dashboard definitions import directly. Cluster-level collection is handled by a dedicated Kubernetes operator covering workloads, nodes, and control plane components. Visualization runs on Perses, with dashboard, check, and alert definitions expressed declaratively and kept under version control. Investigations start broad and get narrow: heatmaps expose the shape of a latency distribution, then filters on high-cardinality attributes isolate the affected requests. Machine learning is applied to telemetry during processing rather than surfaced as a chatbot. Log AI assigns severity to records that arrive without it, discovers recurring patterns, and clusters similar entries, turning noisy third-party output into something queryable. For failing requests, the SIFT methodology structures the path from symptom to root cause. Consumption stays transparent throughout. Teams can identify which services, attributes, and log volumes are responsible for their bill and reduce them at the source, before the invoice arrives.

Media

Media

Integrations Supported

GitHub
Grafana Cloud
Kubernetes
Microsoft Teams
PagerDuty
Slack
Bamboo
Elastic Cloud
Jira Work Management
Kibana
Scalyr

Integrations Supported

GitHub
Grafana Cloud
Kubernetes
Microsoft Teams
PagerDuty
Slack
Akamai
Amazon Web Services (AWS)
Argo CD
Confluent
Heroku
Linkerd
Terraform
Traefik
Vercel

API Availability

API Availability

Has API

Pricing Information

$250/user/month
Free Trial Offered?

Pricing Information

$0.00 per month
Completely transparent usage based pricing
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OverOps

Date Founded

2011

Company Location

San Francisco, USA

Company Website

www.overops.com

Company Facts

Organization Name

Dash0

Date Founded

2023

Company Location

United States

Company Website

www.dash0.com

Categories and Features

Application Performance Monitoring (APM)

Full Transaction Diagnostics
Performance Control
Root-Cause Diagnosis
Trace Individual Transactions

Container Monitoring

Not specified

Continuous Delivery

Not specified

Categories and Features

AI Observability

Not specified

AI SRE Agents

Not specified

Cloud Monitoring

Not specified

Container Monitoring

Not specified

Database Monitoring

Not specified

IT Alerting

Not specified

Log Analysis

Not specified

Log Management

Not specified

Observability

Not specified

Telemetry

Not specified

Website Monitoring

Not specified

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