What is Pingdom and what are its top alternatives?
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 support12
- SQL Analysis11
- Server Resources Monitoring11
- Transaction Tracing9
- Apdex Scores8
- Azure Add-on8
- Analysis of CPU, Disk, Memory, and Network7
- Detailed reports6
- Performance of External Services6
- Error Analysis6
- Application Availability Monitoring and Alerting6
- Application Response Times6
- JVM Performance Analyzer (Java)5
- Most Time Consuming Transactions5
- Browser Transaction Tracing4
- Top Database Operations4
- Easy to use4
- Application Map3
- Pagoda Box integration3
- Custom Dashboards3
- Weekly Performance Email3
- Easy visibility2
- App Speed Index2
- Easy to setup2
- Background Jobs Transaction Analysis2
- Real User Monitoring Overview1
- Worst Transactions by User Dissatisfaction1
- Metric Data Resolution1
- Metric Data Retention1
- Team Collaboration Tools1
- Rails integration1
- Super Expensive1
- Incident Detection and Alerting1
- Free1
- Time Comparisons1
- Best of the best, what more can you ask for1
- Best monitoring on the market1
- Access to Performance Data API1
- Real User Monitoring Analysis and Breakdown1
- Exceptions0
- Pricing model doesn't suit microservices19
- 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
- Expensive7
- Ugly UI3
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)135
- Easy setup106
- Powerful ui86
- Powerful integrations82
- Great value69
- Great visualization53
- Events + metrics = clarity45
- Custom metrics40
- Notifications40
- Flexibility38
- Free & paid plans18
- Great customer support15
- Makes my life easier14
- Adapts automatically as i scale up9
- Easy setup and plugins8
- Super easy and powerful7
- AWS support6
- In-context collaboration6
- Rich in features5
- Docker support4
- Cost4
- Automation tools3
- Source control and bug tracking3
- Simple, powerful, great for infra3
- Cute logo3
- Expensive3
- Easy to Analyze3
- Full visibility of applications3
- Monitor almost everything3
- Best than others3
- Good for Startups2
- Free setup2
- Best in the field2
- APM1
- Expensive17
- No errors exception tracking4
- External Network Goes Down You Wont Be Logging2
- Complicated1
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 tier22
- Easy to understand18
- Instant notifications14
- Simpler than Pingdom8
- Free public status pages5
- Cheap but Reliable5
- Public Status Page4
- Keyword monitoring4
- Mobile App3
- Receive twitter status message1
- Good api0
- SSL Checking0
- False-Positives2
- 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?