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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Cloud Monitoring
  5. Amazon CloudWatch vs Graylog

Amazon CloudWatch vs Graylog

OverviewComparisonAlternatives

Overview

Amazon CloudWatch
Amazon CloudWatch
Stacks12.0K
Followers8.2K
Votes214
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K

Amazon CloudWatch vs Graylog: What are the differences?

Introduction

In this Markdown code, we will provide the key differences between Amazon CloudWatch and Graylog. Both services are widely used for log management and monitoring in the IT industry. Understanding the differences between these two platforms can help organizations choose the right solution for their specific needs.

  1. Scalability: One significant difference between Amazon CloudWatch and Graylog is their scalability. Amazon CloudWatch is a fully managed service that automatically scales to meet the demands of any workload. It can handle large volumes of log data from an unlimited number of sources without any manual intervention. On the other hand, Graylog requires manual configuration and optimization to handle high log volumes, making it less scalable compared to CloudWatch.

  2. Integration with AWS Services: Amazon CloudWatch is tightly integrated with other AWS services, making it the preferred choice for organizations using an AWS infrastructure. It provides extensive monitoring capabilities for AWS resources and services, including EC2 instances, RDS databases, and Lambda functions. Graylog, on the other hand, may require additional configuration and customizations to work seamlessly with AWS services, making it less integrated compared to CloudWatch.

  3. Alerting and Notification: Both Amazon CloudWatch and Graylog offer alerting and notification capabilities, but there are differences in their functionality. CloudWatch provides out-of-the-box support for configuring alarms based on predefined metrics, allowing users to receive notifications through various channels like email, SMS, or Amazon SNS. Graylog, on the other hand, may require additional plugins or configurations to set up alerting and notifications, making it relatively less user-friendly compared to CloudWatch.

  4. Log Search and Analysis: Graylog is primarily designed as a log management and analysis tool, providing robust search functionalities and in-depth log analysis capabilities. It offers advanced search queries, filtering options, and visualizations to help users analyze log data efficiently. Amazon CloudWatch, on the other hand, primarily focuses on monitoring and metrics collection, with limited search and analysis capabilities compared to Graylog.

  5. Data Retention and Archiving: Another key difference between Amazon CloudWatch and Graylog lies in their data retention and archiving capabilities. CloudWatch provides long-term data retention for metrics and logs, allowing users to store data for extended periods in highly durable Amazon S3 buckets or in Amazon Glacier for cost-effective archiving. Graylog's data retention capabilities are dependent on the storage capacity of the underlying servers, which may require additional maintenance and management efforts.

  6. Pricing Structure: Amazon CloudWatch and Graylog have different pricing structures. CloudWatch follows a pay-as-you-go model, where users are billed based on the number of monitored resources and the volume of metrics and logs ingested. Graylog, on the other hand, offers both open-source and enterprise versions, with the enterprise version providing additional features and support at a cost. Organizations need to consider their budget and requirements while evaluating the pricing differences between these two platforms.

In summary, the key differences between Amazon CloudWatch and Graylog include scalability, integration with AWS services, alerting and notification capabilities, log search and analysis functionalities, data retention and archiving options, and pricing structures. Organizations should consider these factors to choose the most suitable solution for their log management and monitoring needs.

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Detailed Comparison

Amazon CloudWatch
Amazon CloudWatch
Graylog
Graylog

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.

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Basic Monitoring for Amazon EC2 instances: ten pre-selected metrics at five-minute frequency, free of charge.;Detailed Monitoring for Amazon EC2 instances: seven pre-selected metrics at one-minute frequency, for an additional charge.;Amazon EBS volumes: eight pre-selected metrics at five-minute frequency, free of charge.;Elastic Load Balancers: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon RDS DB instances: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon SQS queues: eight pre-selected metrics at five-minute frequency, free of charge.;Amazon SNS topics: four pre-selected metrics at five-minute frequency, free of charge.;Amazon ElastiCache nodes: twenty-nine pre-selected metrics at one-minute frequency, free of charge.;Amazon DynamoDB tables: seven pre-selected metrics at five-minute frequency, free of charge.;AWS Storage Gateways: eleven pre-selected gateway metrics and five pre-selected storage volume metrics at five-minute frequency, free of charge.;Amazon Elastic MapReduce job flows: twenty-three pre-selected metrics at five-minute frequency, free of charge.;Auto Scaling groups: seven pre-selected metrics at one-minute frequency, optional and charged at standard pricing.;Estimated charges on your AWS bill: you can also choose to enable metrics to monitor your AWS charges. The number of metrics depends on the AWS products and services that you use, and these metrics are free of charge. Learn more about this option.
-
Statistics
GitHub Stars
-
GitHub Stars
7.9K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
12.0K
Stacks
595
Followers
8.2K
Followers
711
Votes
214
Votes
70
Pros & Cons
Pros
  • 76
    Monitor aws resources
  • 46
    Zero setup
  • 30
    Detailed Monitoring
  • 23
    Backed by Amazon
  • 19
    Auto Scaling groups
Cons
  • 2
    Poor Search Capabilities
Pros
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
Cons
  • 1
    Does not handle frozen indices at all
Integrations
No integrations available
GitHub
GitHub

What are some alternatives to Amazon CloudWatch, Graylog?

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

ELK

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.

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