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

Amazon CloudWatch vs Lumigo

OverviewComparisonAlternatives

Overview

Amazon CloudWatch
Amazon CloudWatch
Stacks12.0K
Followers8.2K
Votes214
Lumigo
Lumigo
Stacks35
Followers35
Votes36

Amazon CloudWatch vs Lumigo: What are the differences?

Introduction

Amazon CloudWatch and Lumigo are both cloud monitoring services used by organizations to monitor and troubleshoot their cloud resources. While they serve a similar purpose, there are key differences between the two.

  1. Data Aggregation: Amazon CloudWatch collects and aggregates data from various AWS resources, including EC2 instances, RDS databases, and Lambda functions. It provides a central location for monitoring and analyzing the performance and operational health of these resources. On the other hand, Lumigo focuses specifically on serverless applications and provides detailed monitoring and visibility into AWS Lambda functions. It automatically aggregates data for serverless applications and provides rich insights into the application's behavior and performance.

  2. Automatic Instrumentation: With Amazon CloudWatch, users need to manually instrument their applications and resources using the CloudWatch API or SDKs. However, Lumigo offers automatic instrumentation, where developers do not need to modify their code or manually integrate Lumigo into their applications. This not only saves time but also ensures all relevant data is captured without any missed dependencies.

  3. Log Analysis: While both services offer log analysis capabilities, there is a difference in their approach. Amazon CloudWatch Logs focuses on analyzing and managing log data generated by a wide range of AWS services. It supports metric filters, log filters, and log insights for querying and analyzing log data. In contrast, Lumigo specializes in analyzing and correlating AWS Lambda logs, providing enhanced visibility into the behavior and performance of serverless applications.

  4. Distributed Tracing: Lumigo stands out with its distributed tracing capabilities, allowing developers to trace requests as they flow through a serverless application. This feature helps in identifying and troubleshooting issues by visualizing the steps and dependencies involved in the request path. Amazon CloudWatch does not offer built-in distributed tracing capabilities.

  5. Alerting and Notification: Amazon CloudWatch provides robust alerting and notification mechanisms, enabling users to set alarms based on specific metric thresholds or anomaly detection. Users can receive notifications through various channels like email, SMS, or SNS topics. Lumigo, on the other hand, focuses more on automatic anomaly detection and alerting specifically tailored for serverless applications. It provides insights and notifications for errors, latency spikes, and cold starts, helping developers proactively identify and resolve issues.

  6. Third-Party Integrations: Both Amazon CloudWatch and Lumigo offer integrations with other third-party tools and services. Amazon CloudWatch has a wide range of integrations, including AWS services like CloudTrail, CloudFormation, and EC2. Lumigo integrates with popular observability tools like Datadog and New Relic, allowing users to combine Lumigo's specific serverless monitoring capabilities with broader monitoring and analysis platforms.

In summary, Amazon CloudWatch is a comprehensive monitoring service for various AWS resources, while Lumigo specializes in monitoring and troubleshooting serverless applications, offering automatic instrumentation, distributed tracing, and tailored alerting for serverless architectures.

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Detailed Comparison

Amazon CloudWatch
Amazon CloudWatch
Lumigo
Lumigo

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.

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.

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.
End-to-end transaction flow and issue detection; Rich debugging information; One-click distributed tracing; Latency timeline; Smart alerts; Anomaly detection; Clear architecture view;
Statistics
Stacks
12.0K
Stacks
35
Followers
8.2K
Followers
35
Votes
214
Votes
36
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
  • 9
    Detecting and mitigating latencies
  • 9
    Saves hour debugging
  • 9
    Out-of-box alerts
  • 9
    Great customer support
Integrations
No integrations available
Slack
Slack
GitHub
GitHub
PagerDuty
PagerDuty
Kubernetes
Kubernetes
OpsGenie
OpsGenie
Jira
Jira
Microsoft Teams
Microsoft Teams
VictorOps
VictorOps
GitLab
GitLab
OpenTelemetry
OpenTelemetry

What are some alternatives to Amazon CloudWatch, Lumigo?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

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.

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

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