Amazon CloudWatch vs Splunk

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Amazon CloudWatch

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Splunk

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Amazon CloudWatch vs Splunk: What are the differences?

Amazon CloudWatch and Splunk are both popular platforms used for monitoring and analyzing log data. While they share some common functionalities, there are several key differences between them that set them apart.

  1. Deployment: Amazon CloudWatch is a fully managed service provided by Amazon Web Services (AWS) and is tightly integrated with other AWS services. It offers seamless deployment and easy scaling within the AWS ecosystem. On the other hand, Splunk can be deployed on-premises or in the cloud, giving users more flexibility in choosing their deployment model.

  2. Cost: Amazon CloudWatch offers a flexible pricing model based on the number of metrics, alarms, and custom events generated. It provides a free tier for limited usage and offers cost savings for users already utilizing other AWS services. Splunk, however, has a more complex pricing structure and can become expensive, especially for large-scale deployments.

  3. Functionality: Amazon CloudWatch primarily focuses on monitoring and managing resources within the AWS environment. It provides comprehensive metrics, logs, and events for AWS services and allows users to set alerts and trigger actions based on predefined thresholds. Splunk, on the other hand, is a general-purpose data analytics platform that supports data ingestion from various sources, including AWS, and provides advanced analytics and visualization capabilities.

  4. Scalability: Amazon CloudWatch can easily handle the monitoring and logging needs of large-scale AWS deployments. It automatically scales to accommodate increased demand and supports high-volume log ingestion. Splunk, although scalable, requires additional configuration and resources to handle large data volumes efficiently.

  5. Integration: Amazon CloudWatch seamlessly integrates with other AWS services, including EC2, S3, and Lambda, allowing users to monitor and analyze a wide range of AWS resources. It also provides APIs for custom integrations and supports integration with third-party monitoring tools. Splunk, on the other hand, offers a wide range of integrations with various data sources and applications, making it suitable for organizations with diverse IT environments.

  6. User Interface: Amazon CloudWatch provides a web-based console with a straightforward interface, making it easy for users to navigate and access monitoring data. It offers prebuilt dashboards and visualizations for AWS services. Splunk, on the other hand, offers a more advanced and customizable user interface, allowing users to create tailored dashboards, reports, and visualizations based on their specific requirements.

In summary, Amazon CloudWatch is tightly integrated with AWS and provides a focused monitoring solution primarily for AWS resources, while Splunk is a versatile analytics platform capable of handling data from various sources. The choice between the two depends on the specific needs of an organization, including deployment preferences, scalability requirements, and budget considerations.

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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
  • 3
    API for searching logs, running reports
  • 3
    Alert system based on custom query results
  • 2
    Dashboarding on any log contents
  • 2
    Custom log parsing as well as automatic parsing
  • 2
    Ability to style search results into reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Splunk language supports string, date manip, math, etc
  • 2
    Rich GUI for searching live logs
  • 1
    Query any log as key-value pairs
  • 1
    Granular scheduling and time window support

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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.
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