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Backtrace

29
22
+ 1
0
OverOps

25
44
+ 1
27
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OverOps vs Backtrace: 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, Backtrace is detailed as "Real-time automated error detection, response and analysis for enterprise-grade software". It is the first debugging platform built for enterprise-grade software. It improves system availability, software quality and team efficiency by bringing automation to incident detection, response and resolution. The debugging platform automatically snapshots faulting applications and their surrounding environments then, analyzes and archives them in a centralized object store so bugs don't get missed and get fixed faster.

OverOps and Backtrace 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, Backtrace provides the following key features:

  • Automated capture, notification, and analysis of software errors for SREs/Ops and Developers
  • Automated analysis crawls application state + code to give you a head start on root cause analysis
  • Captures a rich data set which includes stacktrace across all threads, reachable variables, system information and much more
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Pros of Backtrace
Pros of OverOps
    Be the first to leave a pro
    • 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

    Sign up to add or upvote prosMake informed product decisions

    What is Backtrace?

    It is the first debugging platform built for enterprise-grade software. It improves system availability, software quality and team efficiency by bringing automation to incident detection, response and resolution. The debugging platform automatically snapshots faulting applications and their surrounding environments then, analyzes and archives them in a centralized object store so bugs don't get missed and get fixed faster.

    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.

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

    What companies use Backtrace?
    What companies use OverOps?
      No companies found
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      What tools integrate with Backtrace?
      What tools integrate with OverOps?

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      What are some alternatives to Backtrace and OverOps?
      Sentry
      Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.
      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.
      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.
      See all alternatives