Overview

New Relic

Stacks22.7K

Followers8.7K

Votes1.9K

Stackify

Stacks113

Followers69

Votes56

New Relic vs Stackify: What are the differences?

Comparison Between New Relic and Stackify

Introduction:

This article aims to provide a comparison between two popular performance monitoring and error tracking solutions, New Relic and Stackify. Both tools offer similar features but have some key differences that set them apart. Below are the top 6 differences between New Relic and Stackify.

Pricing Model: New Relic operates on a per-host pricing model where customers are billed based on the number of hosts being monitored. Stackify, on the other hand, offers a flat-rate pricing model that allows customers to monitor an unlimited number of servers, making it a more cost-effective option for businesses with a large infrastructure.
User Interface: New Relic is known for its sleek and intuitive user interface, which provides a visually appealing and easy-to-understand overview of application performance. Stackify, on the other hand, offers a more technical and developer-focused interface, providing detailed insights and metrics for troubleshooting and debugging purposes.
Alerting Capabilities: New Relic offers advanced alerting capabilities that allow users to set up custom alerts based on various performance metrics such as response time, error rate, and server health. Stackify, on the other hand, provides robust alerting features, with the ability to configure alerts for both application-level and server-level metrics, ensuring faster incident response and proactive monitoring.
Support for Multiple Languages: New Relic supports a wide range of programming languages and frameworks, including Java, .NET, Node.js, Python, and Ruby. Stackify, on the other hand, offers broader language support, including additional options like PHP, Go, and ColdFusion, making it a preferred choice for businesses working with diverse technology stacks.
Code Profiling and Performance Optimization: New Relic includes advanced code profiling capabilities that help developers identify performance bottlenecks and optimize their applications. Stackify offers similar code profiling features, but it goes a step further by providing application performance insights at the line of code level, allowing developers to pinpoint specific code segments causing performance issues.
Integration and Third-Party Tools: New Relic has extensive integrations with various third-party tools, such as incident management platforms, analytics platforms, and version control systems. Stackify provides a range of native integrations with popular tools like GitHub, JIRA, Slack, and TeamCity, streamlining the DevOps workflow and facilitating collaboration across teams.

In summary, New Relic and Stackify are both powerful performance monitoring and error tracking solutions, but they differ in terms of pricing model, user interface, alerting capabilities, language support, code profiling features, and integrations. Choosing between the two depends on the specific needs and requirements of a business or development team.

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Advice on New Relic, Stackify

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	Stackify
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.	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
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	Application Performance Management (APM), Custom metrics, Log management. Application monitoring;Server Monitoring;DB & queries monitoring;Queues monitoring;Auto-discovery of new apps;Alerts;App Status Alerts;Email & SMS notification;Escalation rules;Errors aggregation, errors reporting;Alerts, trends;App reporting;Log Files aggregation & appending.Tail and search app & IIS logs;Windows event viewer;Remote secure Access;Access server logs, files, configurations;Role based access;Audit & reporting;App Metrics;Monitor performance counters;Custom Metrics via API;Monitor JVM mBeans;Application Performance;Track web page performance;Utilizing custom metrics to track performance of anything;
Statistics
Stacks 22.7K	Stacks 113
Followers 8.7K	Followers 69
Votes 1.9K	Votes 56
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 Visualizations aren't very helpful 7 Expensive 5 Hard to understand why things in your app are breaking	Pros 8 Error tracking 7 Log management 7 Easy setup 7 Monitoring 6 Alerting
Integrations
AppHarbor Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	Amazon EC2 Slack Jira Rackspace Cloud Servers Microsoft Azure Azure DevOps

What are some alternatives to New Relic, Stackify?

Datadog

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!

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AppSignal

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AppDynamics

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Skylight

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Librato

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Keymetrics

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Dynatrace

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SignalFx

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Scout

Scout APM helps developers quickly pinpoint & resolve performance issues before the customer ever sees them. Spend less time debugging & more time building with a streamlined interface & tracing logic that ties bottlenecks to source code.