Software Alternatives, Accelerators & Startups

Spot.io VS Prometheus

Compare Spot.io VS Prometheus and see what are their differences

Spot.io logo Spot.io

Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.

Prometheus logo Prometheus

An open-source systems monitoring and alerting toolkit.
  • Spot.io Landing page
    Landing page //
    2023-07-25
  • Prometheus Landing page
    Landing page //
    2021-10-13

Spot.io videos

What Is Serverless?

More videos:

  • Review - The Problem With Serverless
  • Review - Is AWS Amplify better than the Serverless Framework?
  • Review - Spot.io: Optimizing Cloud Infrastructure Through Secure Cost Aware Automation
  • Review - NetApp Buys Spot.io

Prometheus videos

How Prometheus Monitoring works | Prometheus Architecture explained

Category Popularity

0-100% (relative to Spot.io and Prometheus)
DevOps Tools
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Continuous Integration And Delivery
Log Management
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Spot.io and Prometheus

Spot.io Reviews

We have no reviews of Spot.io yet.
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Prometheus Reviews

Top 11 Grafana Alternatives & Competitors [2024]
Under the hood, Grafana is powered by multiple tools like Loki, Tempo, Mimir & Prometheus. SigNoz is built as a single tool to serve logs, metrics, and traces in a single pane of glass. SigNoz uses a single datastore - ClickHouse to power its observability stack. This makes SigNoz much better in correlating signals and driving better insights.
Source: signoz.io
GCP Managed Service For Prometheus vs. Levitate | Last9
Levitate is up to 30X cost-efficient compared with Google Managed Prometheus. This is possible because of warehousing capabilities such as data tiering, streaming aggregations, and cardinality controls, making it a much superior choice to Google Managed Prometheus.
Source: last9.io
The Best Open Source Network Monitoring Tools in 2023
Description: Prometheus is an open source monitoring solution focused on data collection and analysis. It allows users to set up network monitoring capabilities using the native toolset. The tool is able to collect information on devices using SNMP pings and examine network bandwidth usage from the device perspective, among other functinos. The PromQL system analyzes data...
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Prometheus and Grafana are used together as an open-source monitoring and alerting solution with support for Linux servers. Prometheus mainly collects the Linux hardware and OS metrics exposed by *nix kernel and then stores as time-series data, using a pull model over HTTP. You can find metrics information in a multi-dimensional data model of the timestamped metrics (i.e.,...
Source: sematext.com
10 Best Open Source Monitoring Software for IT Infrastructure
This list won’t be complete without including two fantastic open-source solutions – Prometheus and Grafana. Its DIY solution where you use Prometheus to scrape the metrics from server, OS, applications and use Grafana to visualize them.
Source: geekflare.com

Social recommendations and mentions

Based on our record, Prometheus seems to be a lot more popular than Spot.io. While we know about 229 links to Prometheus, we've tracked only 1 mention of Spot.io. 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.

Spot.io mentions (1)

  • Nvidia to Acquire Run:AI
    +1 In my previous stint, I had worked with Spot (https://spot.io/) as one of our vendors. Absolutely great product, amazing customer support and ability to take feature requests, or otherwise address our pain points quickly and effectively. - Source: Hacker News / about 2 months ago
  • Is k8s Kops preferable than eks?
    FWIW, I am also a big spot.io fan for our workload. During the holidays I run 30-50% spot instances and run 100% spot most of the year. Source: over 1 year ago
  • Is there anything else we can use beside tags and Cost Explorer to keep track of costs?
    Also, you definitely should look into Reservations, and (sale pitch coming) Spot can help you manage those. Source: over 1 year ago
  • AWS spot instances for CI jobs
    All of this is on spot-instances. We used spot.io (I believe the product is called "Ocean") and they basically took care of all the backend logic to make spot-instances available for the ECS cluster. Source: over 2 years ago
  • If I just focus on K8S does the Cloud provider matter much (GKE, EKS etc)
    Does cloud provider matter? I would say/think so. Not just cloud provider, but further more, how you set it up, which begets cloud provider. Are you setting it up with only the aws cli? Or did you terraform it? Maybe you chose a particular terraform module or maybe you used eksctl. Maybe you used kops or kubeadm. All these things matter when you get to cluster autoscaling, tainting particular node types to... Source: almost 3 years ago

Prometheus mentions (229)

  • 26 Top Kubernetes Tools
    Prometheus is the best-known time-series database engine. It has many use cases, but in the context of Kubernetes, it's a great way to store and query metrics that provide observability for your cluster and its workloads. You can receive alerts when metrics change, such as a Node CPU usage spike or a Pod failure, and integrate with tools like Grafana to visualize your values on dashboards. - Source: dev.to / 4 days ago
  • Best Practices for Building Microservices with NestJS
    Implement health checks and monitoring to ensure the availability and performance of your microservices. Use tools like Prometheus, Grafana, or NestJS built-in health checks. - Source: dev.to / 10 days ago
  • Kubernetes for Beginners
    Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart:... - Source: dev.to / 28 days ago
  • The Impact of API Response Time on Performance: What You Need to Know
    Monitoring tools and performance profiling methods are invaluable in identifying performance bottlenecks. These tools provide real-time insights into API behavior, enabling developers to spot inefficiencies and potential issues. There's a range of monitoring tools, including platforms like New Relic, Datadog, and Prometheus that offer extensive performance metrics like response times, error rates, and resource... - Source: dev.to / about 1 month ago
  • Release Radar · April 2024 Edition: Major updates from the open source community
    It's like Prometheus, but for logs. Okay it's not really to do with the Norse or Greek gods, instead Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by the open source project Prometheus. Built by Grafana Labs, Loki is designed for ease of use. Instead of indexing the contents of the logs, Loki provides a set of labels for each log stream. The latest update includes... - Source: dev.to / about 2 months ago
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What are some alternatives?

When comparing Spot.io and Prometheus, you can also consider the following products

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

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

Packer - Packer is an open-source software for creating identical machine images from a single source configuration.

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.

Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.

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