Software Alternatives, Accelerators & Startups

Netdata VS AWS Elastic Load Balancing

Compare Netdata VS AWS Elastic Load Balancing and see what are their differences

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Netdata logo Netdata

Monitor your servers, containers, and applications, in high-resolution and in real-time.

AWS Elastic Load Balancing logo AWS Elastic Load Balancing

Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
  • Netdata Landing page
    Landing page //
    2022-02-16

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

Scales nicely from a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments & given enough disk space it can keep your metrics for years.

KEY FEATURES:

πŸ’₯ Collects metrics from 800+ integrations OS metrics, container metrics, VMs, hardware sensors, apps metrics, OpenMetrics exporters, StatsD & logs.

πŸ’ͺ Real-Time, Low-Latency, High-Resolution All metrics are collected per second & are on the dashboard immediately after data collection. Netdata is fast.

πŸ˜Άβ€πŸŒ«οΈ Unsupervised Anomaly Detection Trains multiple ML models for each metric collected & detects anomalies based on the past behavior of each metric individually.

πŸ”₯ Powerful Visualization Clear & precise visualization that allows you to quickly understand any dataset, but also to filter, slice & dice the data directly on the dashboard, without the need to learn any query language.

πŸ”” Out of box Alerts Hundreds of alerts out of the box to detect common issues & pitfalls, revealing issues that can easily go unnoticed. It supports several notification methods to let you know when your attention is needed.

πŸ“– systemd Journal Logs Explorer (BETA - nightly release channel) Provides a systemd journal logs explorer, to view, filter & analyze system & apps logs by directly accessing systemd journal files on individual hosts & infrastructure-wide logs centralization servers.

😎 Low Maintenance Fully automated in every aspect: automated dashboards, out-of-the-box alerts, auto-detection & discovery of metrics, zero-touch ML, easy scalability, high availability &CI/CD friendly.

⭐ Open & Extensible Netdata is a modular platform that can be extended in all possible ways and it also integrates nicely with other monitoring solutions.

  • AWS Elastic Load Balancing Landing page
    Landing page //
    2023-04-27

Netdata

$ Details
freemium $3.0 / Monthly (Netdata Pro, $3 /Node /mo - Netdata Business, $4 /Node /mo )
Platforms
Linux Docker AWS Azure Mac OSX Cloud Windows Edge NGINX Oracle
Release Date
2018 June

Netdata features and specs

  • Dashboards & visualizations
    Digestible, intuitive, and visually appealing charts for troubleshooting.
  • Configurable
    Zero configuration. Zero maintenance. No preparations. Sane defaults. Auto-detection for all metrics. Immediately usable.
  • Metrics
    Netdata collects, stores and visualizes all the metrics available. We almost never filter out metrics. The more metrics, the better.
  • Real time monitoring
    Netdata is real-time. It collects all metrics every second and it has a data collection to visualization latency of less than a millisecond.
  • Analytics and Reporting
    Detailed analysis on how applications and systems are performing

AWS Elastic Load Balancing features and specs

  • Scalability
    AWS Elastic Load Balancing can automatically distribute incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses, promoting application elasticity.
  • Health Monitoring
    It continually checks the health of the registered targets, ensuring that traffic is routed only to healthy instances.
  • Security
    Integrated with AWS's Certificate Manager and Application Load Balancer, allowing easy deployment of SSL/TLS for secure communication.
  • Flexibility
    Supports various types of load balancers: Application, Network, and Classic, each suited to different types of application architectures and requirements.
  • Cost-effective
    Pay-as-you-go pricing model ensures you only pay for the resources you use, which can lead to cost savings compared to a fixed-cost solution.
  • Integration
    Seamlessly integrates with other AWS services such as Auto Scaling, Route 53, CloudWatch, and more for a more robust solution.

Possible disadvantages of AWS Elastic Load Balancing

  • Complexity
    Initial setup and configuration can be complex, especially for users unfamiliar with AWS services and cloud architecture.
  • Cost
    While the pay-as-you-go model is cost-effective, the charges can ramp up quickly, especially for high-traffic applications.
  • Dependence on AWS Ecosystem
    Highly integrated with AWS services, making it less ideal for multi-cloud or hybrid cloud environments.
  • Latency
    In some cases, the load balancer can introduce a slight increase in latency, which might be a concern for latency-sensitive applications.
  • Configuration Limitations
    Some specific configurations and customizations may not be possible, leading to constraints on certain types of applications.

Netdata videos

Install Netdata on Linux in two minutes

More videos:

  • Tutorial - Netdata's standard dashboard

AWS Elastic Load Balancing videos

No AWS Elastic Load Balancing videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Netdata and AWS Elastic Load Balancing)
Monitoring Tools
100 100%
0% 0
Web Servers
0 0%
100% 100
Performance Monitoring
100 100%
0% 0
Web And Application Servers

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Netdata and AWS Elastic Load Balancing

Netdata Reviews

The Best Cacti Monitoring Alternatives
Netdata gives you access to sublime real-time health and performance monitoring for all your systems. The Netdata GitHub community has made its growth abundantly clear throughout its last six years of active development.
10 Best Open Source Monitoring Software for IT Infrastructure
Netdata provides unparalleled real-time health monitoring and performance troubleshooting for systems and applications. Over the past six years of development, Netdata’s GitHub community has been essential to its growth.
Source: geekflare.com
4 Best Open Source Dashboard Monitoring Tools In 2019
β€œPull” method : you can set Netdata to run on individual nodes and plug your dashboards directly to it. This way, you can scale your node to your needs and you are not concerned about the scaling of different nodes. Also, storage is scoped to what’s really needed by a particular node thus more efficient;

AWS Elastic Load Balancing Reviews

We have no reviews of AWS Elastic Load Balancing yet.
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Social recommendations and mentions

Based on our record, AWS Elastic Load Balancing should be more popular than Netdata. It has been mentiond 25 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Netdata mentions (5)

  • Trying to decide best practices for production environment
    Pros are instant HA and Migration. Cons are huge bandwidth hits. With your 4x1gbe you would be maxed out on replicating those 25 VMs. You wouldn't have anything for users. I have a test lab with 4 nodes, 22cpu 100gbram and 30tb space, using low end stuff, 12hdds. Proxmox, ceph dashboard, (the native ceph dashboard you can turn on), and a netdata.cloud account. So I watch it like a hawk and like to load test. Source: over 2 years ago
  • Ask HN: Reducing the maintenance surface area of hosting a small internal app
    Docker-compose, not k8s. Set up a script to update the OS, pull all your containers and reboot after hours once a week or once a day. Make sure the script specifies non interactive. Set up alerting for low disk space, see https://netdata.cloud or use your own tool. - Source: Hacker News / over 3 years ago
  • What’s your preferred stack?
    There can be some issues if you mix and match elastic versions, wazuh versions, logstash versions. But the documentation guides you very well with matrix of what is and is not compatible. You will want a beefy VM to run it in, I started smaller than I should of, and after running a while it kind of puked on itself, certain things would randomly stop working. After giving it 32GB RAM, plenty of disk 4TB, and 8... Source: over 3 years ago
  • Netdata on MacOS
    $ brew info netdata Netdata: stable 1.29.3 (bottled) Diagnose infrastructure problems with metrics, visualizations & alarms Https://netdata.cloud/ Not installed From: https://github.com/Homebrew/homebrew-core/blob/HEAD/Formula/netdata.rb License: GPL-3.0-or-later ==> Dependencies Build: autoconf ✘, automake ✘, pkg-config βœ” Required: json-c ✘, libuv ✘, lz4 ✘, openssl@1.1 βœ” ==> Caveats To start netdata: brew... Source: over 3 years ago
  • Netdata cloud and data control
    What I know is that each node's data is still primarily stored on the node itself, and I've figured that the Registry used by Netdata cloud stores only URLs and randomly generated UUIDs. So my question is, will any other data be stored outside of my nodes? Does Netdata Cloud have access to my servers 24/7 or only when I got a browser tab with Netdata cloud open? Is there more information on security and data... Source: about 4 years ago

AWS Elastic Load Balancing mentions (25)

  • Basic AWS Elastic Load Balancer Setup
    Load balancers can be categorized to different types depending on their use cases. On a broader classification, we can divide load balancers into three different categories based on how they are deployed. 1. Hardware load balancers - Dedicated physical appliances designed for high-performance traffic distribution. They are often used by large scale enterprises and data centers that require minimum latency and... - Source: dev.to / 6 months ago
  • Work Stealing: Load-balancing for compute-heavy tasks
    When a backend starts or stops, something needs to update, whether it’s Consul, kube-proxy, ELB, or otherwise. To stop a worker without incurring failures, you need to prevent the load balancer from sending new requests and then finishing existing ones. - Source: dev.to / 10 months ago
  • Load Balancers in AWS
    In this way, you can create a load balancer and custom rules using AWS Elastic Load Balancer. You can refer the official user guide to learn more about load balancing in AWS. - Source: dev.to / 10 months ago
  • A Ride Through Optimising Legacy Spring Boot Services For High Throughput
    Use load balancers and distribute load accordingly to your redundant spring boot services. - Source: dev.to / about 1 year ago
  • DevSecOps with AWS- Ephemeral Environments – Creating test Environments On-Demand - Part 1
    β€’ Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. β€’ AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. AWS Fargate is compatible with both Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic... - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Netdata and AWS Elastic Load Balancing, you can also consider the following products

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

nginx - A high performance free open source web server powering busiest sites on the Internet.

Zabbix - Track, record, alert and visualize performance and availability of IT resources

Traefik - Load Balancer / Reverse Proxy

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Google Cloud Load Balancing - Google Cloud Load Balancer enables users to scale their applications on Google Compute Engine.