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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Lumigo vs OpenTelemetry

Lumigo vs OpenTelemetry

OverviewComparisonAlternatives

Overview

Lumigo
Lumigo
Stacks35
Followers35
Votes36
OpenTelemetry
OpenTelemetry
Stacks203
Followers148
Votes4

Lumigo vs OpenTelemetry: What are the differences?

Introduction: This comparison focuses on the key differences between Lumigo and OpenTelemetry, two popular tools used for monitoring and tracing applications in cloud environments.

  1. Integration Scope: Lumigo is a full-stack observability platform that offers end-to-end tracing and monitoring capabilities for serverless applications. In contrast, OpenTelemetry is an open-source project that provides standardized, vendor-neutral instrumentation for collecting telemetry data from various sources in a distributed system.

  2. Managed Service vs. Open Source: Lumigo is a managed service that requires no setup or configuration, making it easy to adopt for teams looking for a quick solution. On the other hand, OpenTelemetry is an open-source project that allows for more customization and flexibility in how telemetry data is collected and processed, but requires more effort to set up and maintain.

  3. Vendor Lock-in: Lumigo is a SaaS offering provided by a single vendor, potentially leading to vendor lock-in for users of the platform. In contrast, OpenTelemetry is a vendor-neutral project supported by various organizations in the industry, reducing the risk of vendor lock-in and providing more freedom to switch providers if needed.

  4. Community Support and Development: OpenTelemetry has a large and active community of contributors and users, leading to rapid development, frequent updates, and a wide range of plugins and integrations. In comparison, Lumigo's development and feature roadmap are controlled by the vendor, potentially leading to slower innovation and limited community input.

  5. Cost Structure: Lumigo operates on a subscription-based pricing model, typically based on the volume of monitored resources or traces. OpenTelemetry, being open source, is free to use and can be self-hosted or deployed within an organization's infrastructure at no additional cost, apart from the resources required for setup and maintenance.

In Summary, Lumigo offers a managed, full-stack observability platform with integrated tracing and monitoring capabilities, whereas OpenTelemetry is an open-source project that provides standardized instrumentation for collecting telemetry data with more flexibility and customization options. OpenTelemetry also offers vendor-neutral support, a robust community, and cost-free usage compared to Lumigo's SaaS-based solution.

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Detailed Comparison

Lumigo
Lumigo
OpenTelemetry
OpenTelemetry

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.

It provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.

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
35
Stacks
203
Followers
35
Followers
148
Votes
36
Votes
4
Pros & Cons
Pros
  • 9
    Great customer support
  • 9
    Saves hour debugging
  • 9
    Out-of-box alerts
  • 9
    Detecting and mitigating latencies
Pros
  • 4
    OSS
Integrations
Slack
Slack
GitHub
GitHub
PagerDuty
PagerDuty
Kubernetes
Kubernetes
OpsGenie
OpsGenie
Jira
Jira
Microsoft Teams
Microsoft Teams
VictorOps
VictorOps
GitLab
GitLab
AWS Lambda
AWS Lambda
No integrations available

What are some alternatives to Lumigo, OpenTelemetry?

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.

Amazon CloudWatch

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.

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

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