Datadog vs Epsagon

Overview

Datadog

Stacks9.8K

Followers8.2K

Votes861

Epsagon

Stacks26

Followers36

Votes6

Datadog vs Epsagon: What are the differences?

Cost: Datadog primarily charges based on host counts, while Epsagon is based on data volume ingested. This difference can significantly impact the cost depending on the size of the infrastructure being monitored.
Supported Integrations: Datadog offers a wide range of integrations with popular technologies and services, making it suitable for comprehensive monitoring needs. Epsagon, on the other hand, is more focused on serverless architectures, offering specific integrations tailored to those environments.
Architecture Visibility: Datadog provides detailed insights into server and application performance, offering metrics, logs, and traces. Epsagon specializes in providing end-to-end visibility into distributed transactions, ideal for microservices architectures.
Alerting Capabilities: Datadog provides robust alerting features with customizable thresholds and notifications. Epsagon, while also offering alerting, is more focused on anomaly detection and automatic troubleshooting in serverless environments.
Ease of Deployment: Datadog requires an agent installation on servers to collect data, which might add complexity and potential overhead. Epsagon, being serverless-first, integrates seamlessly with cloud provider services without the need for additional agents or configurations.
Community Support: Datadog has a larger user community and extensive documentation, making it easier to find resources and troubleshoot issues. Epsagon, being a newer player, might have a smaller community but offers more personalized support to users.

In Summary, Datadog and Epsagon differ in terms of cost structure, target use cases, visibility offerings, alerting capabilities, deployment requirements, and community support.

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Advice on Datadog, Epsagon

Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceon

Datadog

Dynatrace

AppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

1.59M views1.59M

Comments

Medeti

Jun 27, 2020

Needs adviceon

Amazon EKS

Kubernetes

AWS Elastic Load Balancing (ELB)

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

1.51M views1.51M

Comments

Benoit

Principal Engineer at Sqreen

Sep 17, 2019

Decided

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

457k views457k

Comments

Detailed Comparison

Datadog	Epsagon
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!	Epsagon enables teams to instantly visualize, understand and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, provi
14-day Free Trial for an unlimited number of hosts;200+ turn-key integrations for data aggregation;Clean graphs of StatsD and other integrations;Slice and dice graphs and alerts by tags, roles, and more;Easy-to-use search for hosts, metrics, and tags;Alert notifications via e-mail and PagerDuty;Receive alerts on any metric, for a single host or an entire cluster;Full API access in more than 15 languages;Overlay metrics and events across disparate sources;Out-of-the-box and customizable monitoring dashboards;Easy way to compute rates, ratios, averages, or integrals;Sampling intervals of 10 seconds;Mute all alerts with 1 click during upgrades and maintenance;Tools for team collaboration	serverless monitoring;serverless troubleshooting;monitoring;debugging;lambda debugging;apm;
Statistics
Stacks 9.8K	Stacks 26
Followers 8.2K	Followers 36
Votes 861	Votes 6
Pros & Cons
Pros 140 Monitoring for many apps (databases, web servers, etc) 107 Easy setup 87 Powerful ui 84 Powerful integrations 70 Great value Cons 20 Expensive 4 No errors exception tracking 2 External Network Goes Down You Wont Be Logging 1 Complicated	Pros 3 Great visualization 3 Easy and automated setup
Integrations
NGINX Google App Engine Apache HTTP Server Java Docker Pingdom MySQL Ruby Python Memcached	Grafana AWS Lambda Golang Docker Microsoft Azure Java Python Node.js Kubernetes Slack

What are some alternatives to Datadog, Epsagon?

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.

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Related Comparisons

Datadog vs Epsagon: What are the differences?

Cost: Datadog primarily charges based on host counts, while Epsagon is based on data volume ingested. This difference can significantly impact the cost depending on the size of the infrastructure being monitored.
Supported Integrations: Datadog offers a wide range of integrations with popular technologies and services, making it suitable for comprehensive monitoring needs. Epsagon, on the other hand, is more focused on serverless architectures, offering specific integrations tailored to those environments.
Architecture Visibility: Datadog provides detailed insights into server and application performance, offering metrics, logs, and traces. Epsagon specializes in providing end-to-end visibility into distributed transactions, ideal for microservices architectures.
Alerting Capabilities: Datadog provides robust alerting features with customizable thresholds and notifications. Epsagon, while also offering alerting, is more focused on anomaly detection and automatic troubleshooting in serverless environments.
Ease of Deployment: Datadog requires an agent installation on servers to collect data, which might add complexity and potential overhead. Epsagon, being serverless-first, integrates seamlessly with cloud provider services without the need for additional agents or configurations.
Community Support: Datadog has a larger user community and extensive documentation, making it easier to find resources and troubleshoot issues. Epsagon, being a newer player, might have a smaller community but offers more personalized support to users.

In Summary, Datadog and Epsagon differ in terms of cost structure, target use cases, visibility offerings, alerting capabilities, deployment requirements, and community support.

Datadog vs Epsagon

Overview