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AWS X-Ray

58
97
+ 1
0
Splunk

513
817
+ 1
13
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Pros of AWS X-Ray
Pros of Splunk
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    • 2
      Alert system based on custom query results
    • 2
      API for searching logs, running reports
    • 2
      Query engine supports joining, aggregation, stats, etc
    • 1
      Ability to style search results into reports
    • 1
      Query any log as key-value pairs
    • 1
      Splunk language supports string, date manip, math, etc
    • 1
      Granular scheduling and time window support
    • 1
      Custom log parsing as well as automatic parsing
    • 1
      Dashboarding on any log contents
    • 1
      Rich GUI for searching live logs

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    Cons of AWS X-Ray
    Cons of Splunk
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      • 1
        Splunk query language rich so lots to learn

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      No Stats

      What is AWS X-Ray?

      It helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With this, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. It provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components.

      What is Splunk?

      It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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      What companies use AWS X-Ray?
      What companies use Splunk?
      See which teams inside your own company are using AWS X-Ray or Splunk.
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      What tools integrate with AWS X-Ray?
      What tools integrate with Splunk?

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      What are some alternatives to AWS X-Ray and Splunk?
      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.
      Dynatrace
      It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.
      AppDynamics
      AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
      Jaeger
      Jaeger, a Distributed Tracing System
      ELK
      It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
      See all alternatives