Overview

New Relic

Stacks22.7K

Followers8.7K

Votes1.9K

LogicMonitor

Stacks37

Followers90

Votes20

LogicMonitor vs New Relic: What are the differences?

Key Differences between LogicMonitor and New Relic

LogicMonitor and New Relic are both software intelligence platforms that provide monitoring and observability solutions for businesses. However, there are some key differences between the two platforms that sets them apart. Here are the six key differences:

Deployment and Architecture: LogicMonitor is a cloud-based platform that offers a Software-as-a-Service (SaaS) solution, while New Relic provides both cloud-based and on-premises deployment options. Additionally, LogicMonitor uses a multi-tenant architecture, enabling organizations to monitor multiple clients or locations from a single platform, whereas New Relic primarily utilizes a single-tenant architecture.
Scope of Monitoring: LogicMonitor offers comprehensive monitoring capabilities across a wide range of technologies and devices, including servers, networks, storage, cloud infrastructure, applications, and more. On the other hand, New Relic focuses specifically on application performance monitoring (APM) and offers deep insights into the performance and behavior of applications.
Configuration and Customization: LogicMonitor provides a highly customizable monitoring experience, allowing users to configure alerts, thresholds, dashboards, and reports according to their specific needs. New Relic, while it does provide some level of customization, has a relatively more limited scope of configuration options compared to LogicMonitor.
User Interface: LogicMonitor offers a user-friendly web-based interface with intuitive navigation and drag-and-drop functionality, making it easy for users to analyze data and create custom dashboards. New Relic also provides a user-friendly interface but with a slightly different design and layout.
Price and Packaging: LogicMonitor has a subscription-based pricing model, where the cost is based on the number of devices or resources being monitored. They offer tiered pricing plans to accommodate different organizational sizes and requirements. New Relic, on the other hand, offers various pricing packages based on the specific functionalities needed, such as APM, infrastructure monitoring, mobile monitoring, etc.
Community and Support: LogicMonitor has an active user community that offers forums, knowledge bases, and extensive documentation to help users with troubleshooting, best practices, and additional resources. New Relic also has a community forum and provides customer support but may not have the same level of community engagement as LogicMonitor.

In summary, LogicMonitor differentiates itself from New Relic through its cloud-based architecture, broader scope of monitoring, customization options, user-friendly interface, flexible pricing, and active user community.

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Advice on New Relic, LogicMonitor

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	LogicMonitor
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.	LogicMonitor provides the end-to-end visibility needed to maintain the performance and availability of business applications. It leverages automation and built-in intelligence to monitor today's complex and distributed infrastructures.
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	Full Stack Performance Monitoring;Pre-configured monitoring, with built-in alert thresholds, for 1000+ technologies;Works with any Deployment Model: On-prem, Hybrid, & Hybrid Cloud;Granular Monitoring for AWS;Network Scan & Automated Device Discovery;Alert Routing & Escalation;Alert & Performance Forecasting;Custom Dashboards;Custom Reports;REST API;Syslog, Event, & Batch Job Monitoring;External Website Monitoring;Out-of-the-box Integrations for many Communication & Ticketing Tools;Data Stored for up to 2 years Without Aggregation;Remote Sessions;Configuration Management;Automatic Data Backup & Disaster Recovery;Unlimited Users & Granular RBAC;Ongoing Support & Training;SSO & 2FA
Statistics
Stacks 22.7K	Stacks 37
Followers 8.7K	Followers 90
Votes 1.9K	Votes 20
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 5 Auto discovery 5 Fast deployment 3 Awesome support 3 Agentless 3 Very extensible
Integrations
AppHarbor Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	RightScale Puppet Labs Twilio HipChat

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