Amazon CloudWatch vs Splunk

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Amazon CloudWatch

8.1K
5.4K
+ 1
214
Splunk

450
705
+ 1
11
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Amazon CloudWatch vs Splunk: What are the differences?

Amazon CloudWatch: Monitor AWS resources and custom metrics generated by your applications and services. With Amazon CloudWatch, you gain system-wide visibility into resource utilization, application performance, and operational health. Programmatically retrieve your monitoring data, view graphs, and set alarms to help you troubleshoot, spot trends, and take automated action based on the state of your cloud environment; Splunk: Search, monitor, analyze and visualize machine data. Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.

Amazon CloudWatch can be classified as a tool in the "Cloud Monitoring" category, while Splunk is grouped under "Log Management".

According to the StackShare community, Amazon CloudWatch has a broader approval, being mentioned in 721 company stacks & 334 developers stacks; compared to Splunk, which is listed in 31 company stacks and 29 developer stacks.

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Pros of Amazon CloudWatch
Pros of Splunk
  • 76
    Monitor aws resources
  • 46
    Zero setup
  • 30
    Detailed Monitoring
  • 23
    Backed by Amazon
  • 19
    Auto Scaling groups
  • 11
    SNS and autoscaling integrations
  • 5
    Burstable instances metrics (t2 cpu credit balance)
  • 3
    HIPAA/PCI/SOC Compliance-friendly
  • 1
    Native tool for AWS so understand AWS out of the box
  • 2
    API for searching logs, running reports
  • 1
    Query engine supports joining, aggregation, stats, etc
  • 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
    Alert system based on custom query results
  • 1
    Custom log parsing as well as automatic parsing
  • 1
    Dashboarding on any log contents
  • 1
    Ability to style search results into reports
  • 1
    Rich GUI for searching live logs

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Cons of Amazon CloudWatch
Cons of Splunk
  • 1
    Poor Search Capabilities
  • 1
    Splunk query language rich so lots to learn

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What is 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.

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 Amazon CloudWatch?
What companies use Splunk?
See which teams inside your own company are using Amazon CloudWatch or Splunk.
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What tools integrate with Amazon CloudWatch?
What tools integrate with Splunk?

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What are some alternatives to Amazon CloudWatch and Splunk?
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
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.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
AWS CloudTrail
With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.
Amazon Kinesis
Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.
See all alternatives