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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Aggregation
  5. Datadog vs PagerDuty vs VictorOps

Datadog vs PagerDuty vs VictorOps

OverviewDecisionsComparisonAlternatives

Overview

PagerDuty
PagerDuty
Stacks1.0K
Followers703
Votes119
VictorOps
VictorOps
Stacks87
Followers115
Votes30
Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861

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Advice on PagerDuty, VictorOps, Datadog

Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

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
Medeti

Jun 27, 2020

Needs adviceonAmazon EKSAmazon EKSKubernetesKubernetesAWS Elastic Load Balancing (ELB)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
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

PagerDuty
PagerDuty
VictorOps
VictorOps
Datadog
Datadog

PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem.

VictorOps is a real-time incident management platform that combines the power of people and data to embolden DevOps teams so they can handle incidents as they occur and prepare for the next one.

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!

Alerting that works (and wakes you up)- When your systems go down, PagerDuty will wake you up. You choose how you want to be alerted - via phone, SMS or email, to multiple numbers, with retries.;Integrate all your existing monitoring tools- PagerDuty works great with almost all monitoring tools including: Nagios (and Icinga), Keynote, New Relic, Pingdom, Circonus, Red Gate SQL Monitor, Server Density, Zenoss, Monit, Munin, SolarWinds and many others. If it can send email, it will work with PagerDuty.;Native apps with push notifications- iOS and Android native apps with push notifications and a cross-platform mobile website ensure you can respond to alerts wherever you are, even on the go.;On-call duty scheduling- Easily set up schedules to fairly share on-call duty responsibilities with your team.;Automatic escalation of alerts- If you're paged but don't respond in time, the alert is auto-escalated to a team member. Ensures nothing slips through the cracks - ever.;Reliable, distributed architecture- PagerDuty's infrastructure is fully replicated in multiple data centers, with fast failover when problems occur.;Works internationally (Yes, really!)- Phone alerts can be delivered to over 170 countries and territories; SMS alerts are available virtually world-wide. (Is my country included?)
On-call schedule management - easily set up rotations, teams & escalation policies; Collaborative problem-solving - get the right eyes on the problem quickly; Post-mortem reporting; Alert annotations - attach documentation to incoming alerts that will help to reduce TTR; HipChat & Slack bidirectional integrations; Incident push, SMS, email, phone notifications; One touch on-call handoffs - switch on-call when real life interrupts & make sure everyone knows; Filtered incident panes; Maintenance mode; Mobile incident acknowledgements; Real-time live infrastructure timeline - all the context you need in one place; Android and iOS native apps;
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
Statistics
Stacks
1.0K
Stacks
87
Stacks
9.8K
Followers
703
Followers
115
Followers
8.2K
Votes
119
Votes
30
Votes
861
Pros & Cons
Pros
  • 55
    Just works
  • 23
    Easy configuration
  • 14
    Awesome alerting hub
  • 11
    Fantastic Alert aggregation and on call management
  • 9
    User-customizable alerting modes
Cons
  • 7
    Expensive
  • 3
    Ugly UI
Pros
  • 7
    The transmogrifier is a game changer
  • 6
    Great Team, Great Product
  • 5
    Free tier
  • 3
    Great tiered escalation management
  • 3
    Much better than ANY of the alternatives. Todd is GREAT
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
Integrations
Scout
Scout
Nagios
Nagios
New Relic
New Relic
HipChat
HipChat
Logentries
Logentries
Sensu
Sensu
Logstash
Logstash
Jira
Jira
Okta
Okta
Sumo Logic
Sumo Logic
Slack
Slack
Nagios
Nagios
Amazon CloudWatch
Amazon CloudWatch
Rollbar
Rollbar
Logentries
Logentries
Honeybadger
Honeybadger
Raygun
Raygun
Bugsnag
Bugsnag
AppDynamics
AppDynamics
Loggly
Loggly
NGINX
NGINX
Google App Engine
Google App Engine
Apache HTTP Server
Apache HTTP Server
Java
Java
Docker
Docker
Pingdom
Pingdom
MySQL
MySQL
Ruby
Ruby
Python
Python
Memcached
Memcached

What are some alternatives to PagerDuty, VictorOps, Datadog?

New Relic

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.

Raygun

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.

AppSignal

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

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

Stackify

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

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

OpsGenie

OpsGenie

OpsGenie is a cloud-based service for dev & ops teams, providing reliable alerts, on-call schedule management, and escalations. OpsGenie integrates with monitoring tools & services and ensures that the right people are at the right time.

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