Overview

New Relic

Stacks21.0K

Followers8.7K

Votes1.9K

PagerDuty

Stacks1.0K

Followers703

Votes119

New Relic vs PagerDuty: What are the differences?

Pricing Model: New Relic offers a flexible pricing model based on the number of hosts or containers being monitored, allowing users to scale their usage as needed. On the other hand, PagerDuty follows a user-based pricing model, where the cost is determined by the number of users accessing the system. This difference in pricing models allows organizations to choose the most suitable option based on their specific needs and budget.
Focus of Monitoring: New Relic primarily focuses on application performance monitoring (APM) and provides comprehensive visibility into the performance of web and mobile applications. It offers features like real-time monitoring, code-level diagnostics, and precise application metrics. In contrast, PagerDuty is a incident management platform that focuses on real-time alerting and incident response. It centralizes alerts from various sources and enables efficient incident resolution through automated processes.
Alerting Capabilities: New Relic provides flexible alerting capabilities, allowing users to set up custom alerts based on specific metrics and thresholds. It supports multiple notification channels, such as email and SMS, to ensure that the right people are notified promptly. PagerDuty, on the other hand, offers advanced alerting and on-call scheduling features. It includes options like phone calls and push notifications for critical alerts, and also provides escalation policies to ensure that alerts are routed to the right person or team based on predefined rules.
Integration Ecosystem: New Relic offers a wide range of integrations with popular third-party tools and services, such as AWS, Azure, and Slack. This enables users to correlate performance data from different sources and get a holistic view of their environment. PagerDuty also provides integrations with various monitoring, collaboration, and ticketing tools to facilitate seamless incident management. Its integration capabilities allow teams to enhance their existing workflows and streamline their incident response processes.
Visualization and Reporting: New Relic provides interactive and customizable dashboards that enable users to visualize and analyze performance data in real-time. It also offers reporting features that allow users to generate detailed reports on application performance, response times, error rates, and more. On the other hand, PagerDuty focuses more on providing actionable insights rather than visualizations. It offers incident analytics and trend analysis to help teams identify patterns and make data-driven decisions to improve incident management.
Community and Support: New Relic has a vibrant community of users and provides extensive documentation, forums, and knowledge bases to support users in troubleshooting and optimizing their applications. It also offers different levels of support plans, including 24/7 technical support, to ensure that users get timely assistance when needed. PagerDuty also has an active community and provides resources like webinars, events, and customer forums. It offers various support plans, including a dedicated customer success manager, to cater to the specific needs of organizations.

In summary, New Relic and PagerDuty have key differences in their pricing models, focus of monitoring, alerting capabilities, integration ecosystems, visualization and reporting features, and community and support offerings. Organizations can choose between these tools based on their specific requirements for application performance monitoring and incident management.

Advice on New Relic, PagerDuty

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

Attila

Founder at artkonekt

Mar 24, 2020

Decided

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
The UI of Datadog is more compact and my experience is smoother.
The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

471k views471k

Comments

Detailed Comparison

New Relic	PagerDuty
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.	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.
Performance Data Retention;Real-User Response Time, Throughput, & Breakdown by Layer;App Response Time, Throughput, & Breakdown by Component;App Availability Monitoring, Alerting, and Notification;Automatic Application Topology Mapping;Server Resource and Availability Monitoring;Error Detection, Alerting, & Analysis;JVM Performance Analyzer;Database Call Response Time & Throughput;Performance Data API Access;Code Level Diagnostics, Transaction Tracing, & Stack Trace Details;Slow SQL and SQL Performance Details;Real-User Breakdown by Web Page, Browser, & Geography;Track Individual Key Transactions;Mobile Features- Alerting, Summary Data, Overview Page, Topo Map, HTTP Requests, HTTP Error Summary, HTTP Error Detail, Versions, Carriers, Devices, Geo Map	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?)
Statistics
Stacks 21.0K	Stacks 1.0K
Followers 8.7K	Followers 703
Votes 1.9K	Votes 119
Pros & Cons
Pros 414 Easy setup 344 Really powerful 245 Awesome visualization 194 Ease of use 151 Great ui Cons 20 Pricing model doesn't suit microservices 10 UI isn't great 7 Expensive 7 Visualizations aren't very helpful 5 Hard to understand why things in your app are breaking	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
Integrations
AppHarbor Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	Scout Nagios HipChat Datadog Logentries Sensu Logstash Jira Okta Sumo Logic

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