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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Amazon CloudWatch vs Logentries

Amazon CloudWatch vs Logentries

OverviewComparisonAlternatives

Overview

Logentries
Logentries
Stacks279
Followers174
Votes105
Amazon CloudWatch
Amazon CloudWatch
Stacks12.0K
Followers8.2K
Votes214

Amazon CloudWatch vs Logentries: What are the differences?

## Key Differences between Amazon CloudWatch and Logentries

Amazon CloudWatch and Logentries are both popular cloud monitoring platforms, but they have key differences that cater to different monitoring needs. Here are the top differences:

1. **Data Types Supported**: Amazon CloudWatch primarily focuses on monitoring infrastructure and application metrics, whereas Logentries specializes in log management and analysis. While CloudWatch can monitor metrics like CPU utilization, network traffic, and memory usage, Logentries excels in analyzing log data for troubleshooting and security purposes.
   
2. **Integration Capabilities**: Amazon CloudWatch seamlessly integrates with various AWS services, allowing users to monitor their entire AWS infrastructure from a centralized dashboard. On the contrary, Logentries offers integration with a wide range of third-party services, enabling users to collect and analyze log data from different sources beyond AWS.

3. **Cost Structure**: Amazon CloudWatch follows a pay-as-you-go pricing model based on the number of metrics, alarms, and logs ingested. In contrast, Logentries offers a tiered pricing structure based on the volume of log data processed, with different pricing plans catering to small teams and enterprise-level organizations.
   
4. **Alerting Mechanisms**: While both platforms support alerting based on predefined thresholds, Amazon CloudWatch offers more advanced alerting capabilities with the ability to trigger actions like Autoscaling or Lambda functions based on metric values. Logentries, on the other hand, provides flexible alerting options based on log events and patterns.
   
5. **Customization and Scalability**: Amazon CloudWatch provides extensive customization options for creating dashboards, setting up custom metrics, and building complex monitoring solutions. Logentries, on the other hand, focuses on simplicity and ease of use, making it ideal for quick log analysis and troubleshooting tasks.
   
6. **Compliance and Security Features**: Amazon CloudWatch offers compliance certifications like SOC, HIPAA, and PCI DSS, making it suitable for industries with strict security requirements. Logentries also prioritizes security by offering features like encryption at rest and in transit, ensuring data confidentiality and integrity.

In Summary, Amazon CloudWatch and Logentries differ in their specialization, integration capabilities, pricing models, alerting mechanisms, customization options, and security features, catering to diverse monitoring and log management needs.

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Detailed Comparison

Logentries
Logentries
Amazon CloudWatch
Amazon CloudWatch

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.

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.

Logs as Metrics - Extract field level values, analyze them using powerful search functions, and visualize them with detailed dashboards.;Dynamic Log Correlation - Dynamically group and correlate your logs in a single dashboard, or aggregate logs from a particular system to give an end-to-end view.;Live Tail - View your streaming logs in real-time and highlight important events to easily see errors or exceptions in your live data.;S3 Archiving - Backup your log data daily to long term and cost effective triple redundancy storage in a SOC 2 compliant data center.;Server Monitoring - Monitor critical server stats and auto-generate log data for real-time alerting, visualized trending and deep performance insight.;Open API - Build easy, out-of-the-box integrations using Logentries’ open API;leverage existing toolsets and system integrations, including HipChat, PagerDuty and Campfire.;Team-based Annotations - See team member comments, share expertise, and maintain context with the new team-based view of system activity and log events;identify and resolve issues together in real-time.
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
Stacks
279
Stacks
12.0K
Followers
174
Followers
8.2K
Votes
105
Votes
214
Pros & Cons
Pros
  • 34
    Log search
  • 27
    Live logs
  • 19
    Easy setup
  • 14
    Heroku Add-on
  • 5
    Backup to S3
Pros
  • 76
    Monitor aws resources
  • 46
    Zero setup
  • 30
    Detailed Monitoring
  • 23
    Backed by Amazon
  • 19
    Auto Scaling groups
Cons
  • 2
    Poor Search Capabilities
Integrations
cloudControl
cloudControl
Heroku
Heroku
AppFog
AppFog
AppHarbor
AppHarbor
Jelastic
Jelastic
Engine Yard Cloud
Engine Yard Cloud
Red Hat OpenShift
Red Hat OpenShift
PagerDuty
PagerDuty
Campfire
Campfire
HipChat
HipChat
No integrations available

What are some alternatives to Logentries, Amazon CloudWatch?

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.

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.

Graylog

Graylog

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.

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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