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

Kibana vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K

Kibana vs New Relic: What are the differences?

Kibana is an open-source data visualization tool, while New Relic is a SaaS-based application performance monitoring platform. Let's explore the key differences between them.

  1. Integration with Elasticsearch: Kibana is tightly integrated with Elasticsearch, allowing users to easily visualize and analyze data stored in Elasticsearch. On the other hand, New Relic is primarily focused on monitoring and performance management, and while it does provide some integration capabilities, it is not as extensive as Kibana's.

  2. Scope of Monitoring: Kibana is more suited for analyzing log and time-series data, providing detailed insights into system and application performance. It allows users to create various visualizations like dashboards, maps, and charts. In contrast, New Relic offers a broader scope of monitoring, covering application performance, user experience, infrastructure, and cloud services.

  3. Pricing Model: Kibana is open-source and free to use, making it more cost-effective for organizations. However, it does require expertise in Elasticsearch and the maintenance of server infrastructure. New Relic, on the other hand, offers different pricing tiers based on the depth of monitoring required, making it suitable for organizations that require more comprehensive monitoring capabilities but at a higher cost.

  4. Alerting and Notification: Kibana primarily relies on Elasticsearch Watcher for alerting and notification capabilities. It allows users to set up alerts based on predefined conditions and send notifications through various channels. New Relic, on the other hand, has a built-in alerting mechanism that is tightly integrated with its monitoring capabilities, providing more advanced alerting and notification features out-of-the-box.

  5. Deployment and Scalability: Kibana can be deployed on-premises or in the cloud, depending on the organization's preference and requirements. It provides scalability through Elasticsearch's distributed architecture. New Relic, however, is a cloud-based solution, offering easy deployment and scalability without the need for managing infrastructure.

  6. Support and Documentation: Kibana has a large and active open-source community, providing extensive documentation, tutorials, and support forums. This allows users to find resources and solutions easily. New Relic provides dedicated customer support and has a comprehensive knowledge base, offering assistance to users in a more personalized manner.

In summary, Kibana is an open-source, tightly integrated solution with Elasticsearch, providing extensive monitoring and visualization capabilities. It is well-suited for log and time-series data analysis. New Relic, on the other hand, offers a broader scope of monitoring, integrated alerting mechanisms, and simplified deployment and scalability as a cloud-based solution.

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Advice on New Relic, Kibana

matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k
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
behappiest
behappiest

Nov 6, 2019

Needs adviceonNew RelicNew RelicKibanaKibana

I need to choose a monitoring tool for my project, but currently, my application doesn't have much load or many users. My application is not generating GBs of data. We don't want to send the user information to New Relic because it's a 3rd party tool. And we can deploy Kibana locally on our server. What should I use, Kibana or New Relic?

173k views173k
Comments

Detailed Comparison

New Relic
New Relic
Kibana
Kibana

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.

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.

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
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
Statistics
GitHub Stars
-
GitHub Stars
20.8K
GitHub Forks
-
GitHub Forks
8.5K
Stacks
22.7K
Stacks
20.6K
Followers
8.7K
Followers
16.4K
Votes
1.9K
Votes
262
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
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
Cons
  • 7
    Unintuituve
  • 4
    Elasticsearch is huge
  • 4
    Works on top of elastic only
  • 3
    Hardweight UI
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
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to New Relic, Kibana?

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.

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.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

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