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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. New Relic vs Zipkin

New Relic vs Zipkin

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Zipkin
Zipkin
Stacks199
Followers152
Votes10
GitHub Stars17.3K
Forks3.1K

New Relic vs Zipkin: What are the differences?

Introduction New Relic and Zipkin are both popular distributed tracing systems used for monitoring and troubleshooting applications. While they have similar purposes, there are some key differences between the two.

  1. Data Collection Methods: One key difference between New Relic and Zipkin is their approach to data collection. New Relic primarily uses an agent-based approach, where an agent installed on the application server collects and sends data to the New Relic platform. On the other hand, Zipkin is based on an instrumentation approach, where developers need to add code instrumentation to their applications to capture tracing data.

  2. Scalability and Performance: Another difference between New Relic and Zipkin lies in their scalability and performance capabilities. New Relic is a fully managed cloud-based solution that automatically scales to handle large volumes of data and offers high availability. In contrast, Zipkin is a self-hosted solution that requires manual setup and configuration, making its scalability and performance dependent on the resources available in the hosting environment.

  3. Supported Programming Languages and Frameworks: New Relic provides support for a wide range of programming languages and frameworks out of the box, including Java, .NET, Ruby, Python, and more. It offers comprehensive language-specific instrumentation and provides integration with popular frameworks. On the other hand, Zipkin has a more extensible approach, allowing developers to implement custom instrumentation for various programming languages and frameworks.

  4. Alerting and Monitoring Capabilities: New Relic offers advanced alerting and monitoring capabilities, allowing users to set up alerts based on specific conditions and thresholds. It provides a rich set of built-in monitoring dashboards and customizable reports for deep insights into application performance. In contrast, Zipkin focuses more on the core tracing capabilities and does not provide built-in alerting and monitoring features. Users may need to integrate Zipkin with other monitoring tools to achieve similar functionality.

  5. Community and Ecosystem: New Relic has built a large community around its platform, with a wide range of resources, user forums, and knowledge base articles available. It also has an extensive ecosystem of third-party integrations and plugins for seamless integration with various tools and technologies. On the other hand, Zipkin, being an open-source project, also has an active community but with a relatively smaller userbase. While it has some integrations available, the ecosystem may not be as extensive as New Relic.

  6. Pricing and Cost: The pricing models for New Relic and Zipkin are different. New Relic follows a subscription-based pricing model, where users pay based on the number of monitored hosts and the selected plan. The pricing includes all features, support, and infrastructure costs. Zipkin, being an open-source project, is free to use, but it requires manual setup and infrastructure provisioning, which may incur additional hosting costs.

In summary, New Relic and Zipkin offer distributed tracing capabilities but differ in their data collection methods, scalability, supported languages, alerting capabilities, community size, and pricing models. Users can choose based on their specific requirements, preference for a managed solution, or customization needs.

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Advice on New Relic, Zipkin

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
Attila
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
New Relic
Zipkin
Zipkin

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.

It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data.

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
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Statistics
GitHub Stars
-
GitHub Stars
17.3K
GitHub Forks
-
GitHub Forks
3.1K
Stacks
22.7K
Stacks
199
Followers
8.7K
Followers
152
Votes
1.9K
Votes
10
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
  • 10
    Open Source
Integrations
AppHarbor
AppHarbor
Cloudability
Cloudability
HP Cloud Compute
HP Cloud Compute
cloudControl
cloudControl
Papertrail
Papertrail
Loggly
Loggly
Ducksboard
Ducksboard
Blitz
Blitz
Pivotal Tracker
Pivotal Tracker
Red Hat OpenShift
Red Hat OpenShift
No integrations available

What are some alternatives to New Relic, Zipkin?

Datadog

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!

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

AppDynamics

AppDynamics

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

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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