What is Pingdom and what are its top alternatives?
Top Alternatives to Pingdom
New Relic
New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code. ...
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 setup416
- Really powerful345
- Awesome visualization244
- Ease of use194
- Great ui152
- Free tier107
- Great tool for insights81
- Heroku Integration66
- Market leader55
- Peace of mind49
- Push notifications21
- Email notifications20
- Heroku Add-on16
- Error Detection and Alerting16
- Multiple language support12
- Server Resources Monitoring11
- SQL Analysis11
- Transaction Tracing9
- Azure Add-on8
- Apdex Scores8
- Analysis of CPU, Disk, Memory, and Network7
- Application Response Times6
- Detailed reports6
- Performance of External Services6
- Error Analysis6
- Application Availability Monitoring and Alerting6
- Most Time Consuming Transactions5
- JVM Performance Analyzer (Java)5
- Easy to use4
- Browser Transaction Tracing4
- Top Database Operations4
- Pagoda Box integration3
- Custom Dashboards3
- Weekly Performance Email3
- Application Map3
- Easy to setup2
- App Speed Index2
- Easy visibility2
- Metric Data Retention1
- Team Collaboration Tools1
- Worst Transactions by User Dissatisfaction1
- Real User Monitoring Analysis and Breakdown1
- Time Comparisons1
- Access to Performance Data API1
- Metric Data Resolution1
- Background Jobs Transaction Analysis1
- Incident Detection and Alerting1
- Real User Monitoring Overview1
- Best of the best, what more can you ask for1
- Best monitoring on the market1
- Rails integration1
- Free1
- Super Expensive1
- Exceptions0
- Pricing model doesn't suit microservices18
- UI isn't great10
- Expensive7
- Visualizations aren't very helpful7
- Hard to understand why things in your app are breaking5
related New Relic posts









Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.
Current Environment: .NET Core Web app hosted on Microsoft IIS
Future Environment: Web app will be hosted on Microsoft Azure
Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server
Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.
Please advise on the above. Thanks!
Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).
PagerDuty
- Just works54
- 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
- Expensive6
- Ugly UI2
related PagerDuty posts
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.
Data science and engineering teams at Lyft maintain several big data pipelines that serve as the foundation for various types of analysis throughout the business.
Apache Airflow sits at the center of this big data infrastructure, allowing users to “programmatically author, schedule, and monitor data pipelines.” Airflow is an open source tool, and “Lyft is the very first Airflow adopter in production since the project was open sourced around three years ago.”
There are several key components of the architecture. A web UI allows users to view the status of their queries, along with an audit trail of any modifications the query. A metadata database stores things like job status and task instance status. A multi-process scheduler handles job requests, and triggers the executor to execute those tasks.
Airflow supports several executors, though Lyft uses CeleryExecutor to scale task execution in production. Airflow is deployed to three Amazon Auto Scaling Groups, with each associated with a celery queue.
Audit logs supplied to the web UI are powered by the existing Airflow audit logs as well as Flask signal.
Datadog, Statsd, Grafana, and PagerDuty are all used to monitor the Airflow system.
Datadog
- Monitoring for many apps (databases, web servers, etc)129
- Easy setup103
- Powerful ui83
- Powerful integrations80
- Great value66
- Great visualization50
- Events + metrics = clarity41
- Custom metrics39
- Notifications38
- Flexibility36
- Free & paid plans16
- Great customer support13
- Makes my life easier12
- Easy setup and plugins6
- Adapts automatically as i scale up6
- Super easy and powerful5
- In-context collaboration4
- Rich in features3
- AWS support3
- Docker support2
- Cost2
- Automation tools1
- Monitor almost everything1
- Free setup1
- Easy to Analyze1
- Expensive1
- Cute logo1
- Best than others1
- Full visibility of applications1
- Simple, powerful, great for infra1
- Source control and bug tracking1
- Expensive12
- No errors exception tracking2
related Datadog posts
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.









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?
StatusCake
- Easy to use and reliable13
- Free tier11
- Public Reporting5
- Domain monitoring4
- Group Notification3
- SSL Certificate Monitoring2
- No false positives2
- Great Customer Support1
- Malware and Virus Scanning1
- Real Browser Testing1
- Multiple User Accounts1
- Mobile App1
- Full Featured API1
- WhoIs Domain Monitoring1
- Cheaper1
related StatusCake posts
related Uptrends posts
- Free tier20
- Easy to understand17
- Instant notifications13
- Simpler than Pingdom7
- Public Status Page4
- Free public status pages4
- Keyword monitoring4
- Cheap but Reliable4
- Mobile App2
- Receive twitter status message1
- Good api0
- SSL Checking0
- Consistently bad UI2
- False-Positives1
- 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?