What is Pingdom and what are its top alternatives?
Pingdom is a popular website monitoring tool that helps users track the performance of their websites, servers, and web applications. It offers features such as uptime monitoring, page speed monitoring, transaction monitoring, real user monitoring, and alerting capabilities. However, some limitations of Pingdom include its relatively higher pricing compared to other alternatives and limited customization options for monitoring.
UptimeRobot: UptimeRobot is a free website monitoring tool that offers monitoring at intervals as frequent as every 1 minute. It includes features like uptime monitoring, SSL monitoring, and alerting via email, SMS, or integrations with other tools. Pros: Free plan available, multiple monitoring locations, easy to use. Cons: Limited advanced features compared to paid tools.
Site24x7: Site24x7 provides comprehensive monitoring for websites, servers, networks, and web applications. It offers features like real user monitoring, synthetic monitoring, and root cause analysis. Pros: All-in-one monitoring solution, advanced monitoring capabilities. Cons: Pricing might be on the higher side for some users.
New Relic: New Relic is a monitoring tool focusing on application performance management. It offers features like real-time performance monitoring, end-user monitoring, and infrastructure monitoring. Pros: Advanced application monitoring capabilities, comprehensive insights. Cons: Higher pricing compared to basic website monitoring tools.
Datadog: Datadog is a cloud monitoring and analytics platform that provides visibility into the performance of applications, infrastructure, and logs. It offers features like real-time monitoring, alerting, and integrations with various tools. Pros: Comprehensive monitoring solution, scalable for large environments. Cons: Complex setup and pricing structure.
Dynatrace: Dynatrace is an AI-powered monitoring tool that offers full-stack monitoring for applications and infrastructure. It includes features like automatic root cause analysis, code-level visibility, and real user monitoring. Pros: Advanced AI capabilities, detailed insights. Cons: Higher pricing for enterprise features.
SolarWinds RMM: SolarWinds RMM (Remote Monitoring & Management) is a comprehensive IT management platform that includes monitoring, automation, and remote support capabilities. It offers features like network monitoring, patch management, and remote access. Pros: All-in-one IT management solution, remote support features. Cons: Might be overly complex for basic website monitoring needs.
Sematext: Sematext is a monitoring and logging solution that offers infrastructure monitoring, application performance monitoring, and log management. It includes features like distributed tracing, anomaly detection, and visualization tools. Pros: Comprehensive monitoring and logging capabilities, easy to use interface. Cons: Pricing might be a bit high for small businesses.
AppDynamics: AppDynamics is an application performance monitoring tool that provides visibility into the performance of business transactions and application code. It offers features like code-level diagnostics, business transaction monitoring, and end-user monitoring. Pros: Detailed insights into application performance, business transaction monitoring. Cons: High pricing for enterprise features.
Zabbix: Zabbix is an open-source monitoring tool that offers monitoring for networks, servers, and applications. It includes features like auto-discovery, alerting, and customizable dashboard. Pros: Open-source and free to use, customizable monitoring options. Cons: Steeper learning curve compared to commercial tools.
LogicMonitor: LogicMonitor is a cloud-based monitoring platform that provides infrastructure and application monitoring capabilities. It includes features like automatic device discovery, dashboards, and forecasting. Pros: Easy to set up and use, automatic discovery of devices. Cons: Pricing might be on the higher side for small businesses.
Top Alternatives to Pingdom
- New Relic
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. ...
- PagerDuty
PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem. ...
- 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! ...
- StatusCake
Monitoring a website is one thing – finding the best way to alert you to downtime another. At StatusCake we give you as many options as possible to decide when & how often you’re contacted. Whether it’s by email, SMS, push notifications for iOS & Android or integration with third party apps including Zapier and PagerDuty – you decide how you want to be alerted and when! ...
- Uptrends
It is the ultimate monitoring tool to stay in control of the uptime, performance, and functionality of your websites, APIs, and servers. ...
- UptimeRobot
It is all about helping you to keep your websites up. It monitors your websites every 5 minutes and alerts you if your sites are down. ...
- GTmetrix
It gives you insight on how well your site loads and provides actionable recommendations on how to optimize it. It is a free tool that analyzes your page's speed & performance. ...
- Site24x7
Site24x7 is an all-in-one monitoring solution that allows you to monitor every part of your IT infrastructure from Websites to Applications, to Servers (both on-premise and on the cloud) as well as your Network infrastructure. ...
Pingdom alternatives & related posts
New Relic
- Easy setup415
- Really powerful344
- Awesome visualization244
- Ease of use194
- Great ui151
- Free tier107
- Great tool for insights80
- Heroku Integration66
- Market leader55
- Peace of mind49
- Push notifications21
- Email notifications20
- Heroku Add-on17
- Error Detection and Alerting16
- Multiple language support13
- Server Resources Monitoring11
- SQL Analysis11
- Transaction Tracing9
- Azure Add-on8
- Apdex Scores8
- Detailed reports7
- Analysis of CPU, Disk, Memory, and Network7
- Application Response Times6
- Performance of External Services6
- Application Availability Monitoring and Alerting6
- Error Analysis6
- JVM Performance Analyzer (Java)5
- Most Time Consuming Transactions5
- Top Database Operations4
- Easy to use4
- Browser Transaction Tracing4
- Application Map3
- Weekly Performance Email3
- Custom Dashboards3
- Pagoda Box integration3
- App Speed Index2
- Easy to setup2
- Background Jobs Transaction Analysis2
- Time Comparisons1
- Access to Performance Data API1
- Super Expensive1
- Team Collaboration Tools1
- Metric Data Retention1
- Metric Data Resolution1
- Worst Transactions by User Dissatisfaction1
- Real User Monitoring Overview1
- Real User Monitoring Analysis and Breakdown1
- Free1
- Best of the best, what more can you ask for1
- Best monitoring on the market1
- Rails integration1
- Incident Detection and Alerting1
- Cost0
- Exceptions0
- Price0
- Proce0
- Pricing model doesn't suit microservices20
- UI isn't great10
- Expensive7
- Visualizations aren't very helpful7
- Hard to understand why things in your app are breaking5
related New Relic posts
I've used more and more of New Relic Insights here in my work at Kong. New Relic Insights is a "time series event database as a service" with a super-easy API for inserting custom events, and a flexible query language for building visualization widgets and dashboards.
I'm a big fan of New Relic Insights when I have data I know I need to analyze, but perhaps I'm not exactly sure how I want to analyze it in the future. For example, at Kong we recently wanted to get some understanding of our open source community's activity on our GitHub repos. I was able to quickly configure GitHub to send webhooks to Zapier , which in turn posted the JSON to New Relic Insights.
Insights is schema-less and configuration-less - just start posting JSON key value pairs, then start querying your data.
Within minutes, data was flowing from GitHub to Insights, and I was building widgets on my Insights dashboard to help my colleagues visualize the activity of our open source community.
#GitHubAnalytics #OpenSourceCommunityAnalytics #CommunityAnalytics #RepoAnalytics
Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.
I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.
For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.
Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.
Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.
Future improvements / technology decisions included:
Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic
As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.
One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.
PagerDuty
- Just works55
- Easy configuration23
- Awesome alerting hub14
- Fantastic Alert aggregation and on call management11
- User-customizable alerting modes9
- Awesome tool for alerting and monitoring. Love it4
- Most reliable out of the three and it isn't even close3
- Expensive7
- Ugly UI3
related PagerDuty posts
I chose Sqreen because it provides an out-of-the-box Security as a Service solution to protect my customer data. I get full visibility over my application security in real-time and I reduce my risk against the most common threats. My customers are happy and I don't need to spend any engineering resources or time on this. We're only alerted when our attention is required and the data that is provided helps engineering teams easily remediate vulnerabilities. The platform grows with us and will allow us to have all the right tools in place when our first security engineer joins the company. Advanced security protections against business logic threats can then be implemented.
Installation was super easy on my Node.js and Ruby apps. But Sqreen also supports Python , Java , PHP and soon Go .
It integrates well with the tools I'm using every day Slack , PagerDuty and more.
Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.
We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.
Datadog
- Monitoring for many apps (databases, web servers, etc)137
- Easy setup107
- Powerful ui87
- Powerful integrations83
- Great value70
- Great visualization54
- Events + metrics = clarity46
- Custom metrics41
- Notifications41
- Flexibility39
- Free & paid plans19
- Great customer support16
- Makes my life easier15
- Adapts automatically as i scale up10
- Easy setup and plugins9
- Super easy and powerful8
- AWS support7
- In-context collaboration7
- Rich in features6
- Docker support5
- Cost4
- Source control and bug tracking4
- Automation tools4
- Cute logo4
- Monitor almost everything4
- Full visibility of applications4
- Simple, powerful, great for infra4
- Easy to Analyze4
- Best than others4
- Expensive3
- Best in the field3
- Free setup3
- Good for Startups3
- APM2
- Expensive19
- No errors exception tracking4
- External Network Goes Down You Wont Be Logging2
- Complicated1
related Datadog posts
We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. Behind the scenes the Config API is built with Go , GRPC and Envoy.
At Segment, we build new services in Go by default. The language is simple so new team members quickly ramp up on a codebase. The tool chain is fast so developers get immediate feedback when they break code, tests or integrations with other systems. The runtime is fast so it performs great at scale.
For the newest round of APIs we adopted the GRPC service #framework.
The Protocol Buffer service definition language makes it easy to design type-safe and consistent APIs, thanks to ecosystem tools like the Google API Design Guide for API standards, uber/prototool
for formatting and linting .protos and lyft/protoc-gen-validate
for defining field validations, and grpc-gateway
for defining REST mapping.
With a well designed .proto, its easy to generate a Go server interface and a TypeScript client, providing type-safe RPC between languages.
For the API gateway and RPC we adopted the Envoy service proxy.
The internet-facing segmentapis.com
endpoint is an Envoy front proxy that rate-limits and authenticates every request. It then transcodes a #REST / #JSON request to an upstream GRPC request. The upstream GRPC servers are running an Envoy sidecar configured for Datadog stats.
The result is API #security , #reliability and consistent #observability through Envoy configuration, not code.
We experimented with Swagger service definitions, but the spec is sprawling and the generated clients and server stubs leave a lot to be desired. GRPC and .proto and the Go implementation feels better designed and implemented. Thanks to the GRPC tooling and ecosystem you can generate Swagger from .protos, but it’s effectively impossible to go the other way.
Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.
We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.
StatusCake
- Easy to use and reliable13
- Free tier11
- Public Reporting5
- Domain monitoring4
- Group Notification3
- Cheaper2
- No false positives2
- SSL Certificate Monitoring2
- WhoIs Domain Monitoring1
- Malware and Virus Scanning1
- Real Browser Testing1
- Multiple User Accounts1
- Mobile App1
- Great Customer Support1
- Full Featured API1
related StatusCake posts
What are the comparisons and differences between StatusCake and Site24x7 Services?
related Uptrends posts
- Free tier22
- Easy to understand18
- Instant notifications14
- Simpler than Pingdom8
- Cheap but Reliable5
- Free public status pages5
- Keyword monitoring4
- Public Status Page4
- Mobile App3
- Receive twitter status message1
- Good api0
- SSL Checking0
- False-Positives3
- Consistently bad UI2
- Confusing UI1
- Extremely bad UI experience0
related UptimeRobot posts
- Free to use1
related GTmetrix posts
related Site24x7 posts
Hi Folks,
I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?
What are the comparisons and differences between StatusCake and Site24x7 Services?