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Log Owl

Stacks2

Followers8

+ 1

Votes0

OverOps

Stacks25

Followers43

+ 1

Votes27

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OverOps vs Log Owl: What are the differences?

Developers describe OverOps as "Know When and Why Applications Break". OverOps maps the DNA of code as it’s executing in pre-prod and production to Identify all issues and anomalies, and deliver True Root Cause to the right person, without relying on logs. On the other hand, Log Owl is detailed as "Open-source, privacy-focused error tracking and analytics". Get the insights you need on how your IT services perform in production. Track errors with all the details you need to fix issues and get detailed user analytics, privacy-focused and all in one place.

OverOps and Log Owl belong to "Exception Monitoring" category of the tech stack.

Some of the features offered by OverOps are:

Deep code visibility
Real-Time Visibility
Jenkins Quality Gates

On the other hand, Log Owl provides the following key features:

Error tracking
Ethical Analytics
Self-Hosted

Manage your open source components, licenses, and vulnerabilities

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Pros of Log Owl

Pros of OverOps

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8
In-depth error analysis with variable values in product
5
All the info you need to solve bugs without logs
4
OverOps reveals the unknown
4
Jira & Github integration
3
Scala support
3
A lot of context added to otherwise plain information

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What is Log Owl?

Get the insights you need on how your IT services perform in production. Track errors with all the details you need to fix issues and get detailed user analytics, privacy-focused and all in one place.

What is OverOps?

OverOps maps the DNA of code as it’s executing in pre-prod and production to Identify all issues and anomalies, and deliver True Root Cause to the right person, without relying on logs.

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What companies use Log Owl?

What companies use OverOps?

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Manage your open source components, licenses, and vulnerabilities

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What tools integrate with Log Owl?

What tools integrate with OverOps?

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What are some alternatives to Log Owl and OverOps?

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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Log Owl vs OverOps

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Pros of Log Owl

Pros of OverOps

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What is Log Owl?

What is OverOps?

Need advice about which tool to choose?Ask the StackShare community!

What companies use Log Owl?

What companies use OverOps?

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What tools integrate with Log Owl?

What tools integrate with OverOps?

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