TrackSSL VS locust

Compare TrackSSL VS locust and see what are their differences

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NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. featured

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TrackSSL

Problem your startup Forgetting to renew SSL certificates. About Founder Software Engineer and Web Developer based in the UK. CTO of an eCommerce agency and kept spotting our clients SSL certificates expiring too late.

locust

An open source load testing tool written in Python.

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2023-01-24

Landing page //
2021-10-11

TrackSSL

Website: trackssl.com
Pricing URL: Official TrackSSL Pricing
$ Details: -

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locust

Website: locust.io
Pricing URL: -
$ Details

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TrackSSL features and specs

Automatic SSL Monitoring
TrackSSL provides automated monitoring of SSL certificates, making it easier for users to track the status and health of their SSL certificates without needing to manually check each one.
Expiration Alerts
This service offers timely alerts for impending certificate expiration, ensuring that users can renew their SSL certificates in time to prevent any downtime.
User-Friendly Interface
TrackSSL is designed with an intuitive interface that is easy for users to navigate, even if they don't have extensive technical knowledge.
Customizable Alerts
Users can customize how and when they receive alerts, allowing them to integrate SSL monitoring into their existing workflow seamlessly.
Multiple Domain Support
TrackSSL supports monitoring for multiple domains, which is beneficial for users who manage several websites.

Possible disadvantages of TrackSSL

Limited Free Tier
The free tier of TrackSSL may be quite limited, offering basic monitoring features, while more advanced features require a paid subscription.
Dependency on External Service
Reliance on TrackSSL means that users are dependent on an external service for SSL monitoring, which could be a drawback in case of service disruptions.
Learning Curve
While the interface is user-friendly, users not familiar with SSL concepts might still face a learning curve in understanding all the available features and reports.
Bandwidth for Multiple Domains
Monitoring multiple domains might consume more bandwidth or resources if not configured efficiently, potentially leading to additional costs.

locust features and specs

Scalability
Locust is designed to distribute the load tests across multiple machines, allowing for high scalability and the ability to simulate millions of users.
Python-based
The tool is written in Python, which makes it highly flexible and suitable for those who are familiar with the language. You can write custom test scenarios easily.
Web-based UI
Locust provides a user-friendly web-based interface that makes it easy to monitor and control the test execution in real-time.
Real-time monitoring
During test execution, you get real-time statistics and charts that help in monitoring the performance and load.
Open-source
Being an open-source tool, Locust allows for community contributions and is free to use, which helps in continuous improvement and support from the user base.

Possible disadvantages of locust

Setup Complexity
Initial setup can be somewhat complex, especially for large scale or distributed tests. Requires experience with Python and potentially other infrastructure setups.
Resource Intensive
Locust can be resource-intensive, requiring significant compute resources, particularly when simulating large numbers of users.
Steeper Learning Curve
Despite its flexibility, the requirement to write test scenarios in Python may present a learning curve for users not familiar with programming.
Limited Protocol Support
Primarily designed for HTTP/HTTPS protocols, Locust might not be suitable for load testing applications that use other protocols without additional customization.
Dependence on External Libraries
While the use of Python offers flexibility, it also means that you might need to rely on external libraries and tools, which can introduce dependency management issues.

Analysis of locust

Overall verdict

Locust is a powerful and flexible tool for load testing, particularly advantageous for teams familiar with Python. Its scalability and ease of setup make it a strong choice for both small and large projects.

Why this product is good

Locust (locust.io) is considered a good tool for load testing due to its easy-to-use, scalable, and distributed nature. Written in Python, it allows developers to write simple or complex test scenarios in the same language. It enables the simulation of millions of users by distributing tasks across multiple machines, making it highly valuable for performance testing of websites and applications. The web-based user interface is another advantage, allowing real-time monitoring of test progress and results.

Recommended for

Development teams looking for a scalable load testing tool.
Organizations that prefer open-source solutions.
Projects requiring custom test scenarios in Python.
Teams needing real-time monitoring and distributed testing capabilities.

TrackSSL videos

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locust videos

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Locust review - GTA Online guides

Category Popularity

0-100% (relative to TrackSSL and locust)

TrackSSL

locust

Monitoring Tools

18 18%

Monitoring Tools

82% 82

Website Testing

19 19%

Website Testing

81% 81

APIs

100 100%

APIs

0% 0

Analytics

0 0%

Analytics

100% 100

User comments

Share your experience with using TrackSSL and locust. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, locust seems to be a lot more popular than TrackSSL. While we know about 64 links to locust, we've tracked only 2 mentions of TrackSSL. 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.

TrackSSL mentions (2)

Never Get Blindsided by an Expired SSL Certificate: 6 Monitoring Services Compared
What it does: TrackSSL focuses squarely on monitoring SSL/TLS certificates so you “avoid website downtime” due to expired or misconfigured certs. It regularly scans your domains’ certificates for upcoming expiry dates, unexpected changes, and even watches Certificate Transparency logs for fraudulent certs. When something’s up, it can ping you in just about any channel – email, Slack, SMS, Microsoft Teams, and... - Source: dev.to / 4 months ago
6 Day Certs Are Here: Why SSL Certificate Lengths are Getting Shorter
If you’re adopting short-lived certificates, you’ll need a way to monitor them - whether that’s a cron script, a dashboard, or a third-party tool like TrackSSL. Monitoring ensures you’re alerted to renewal failures before they lead to downtime. It’s a lightweight and effective safety net in a fast-moving landscape. - Source: dev.to / 7 months ago

locust mentions (64)

Small-Scale Chaos Testing: The Missing Step Before Production
Locust: While primarily a load testing tool, it can be used to simulate user behavior under stress. - Source: dev.to / 3 days ago
Log Spikes? No Sweat: How Top DevOps Teams Tame Bursty Workloads
But you don’t have to operate at Netflix’s scale to benefit from the same mindset. Effective teams simulate log floods during load tests, which push traffic through staging environments while tracking how ingestion, indexing, and alerting respond to the increased load. Tools like Grafana’s k6 and Locust can simulate thousands of requests per second, while synthetic log generators mimic bursty error scenarios. - Source: dev.to / 3 months ago
Serving 200M requests per day with a CGI-bin
I mean honestly - the "classic" Apache model of throwing things into the www root is very strong for rapid development. Hot code reloading is sometimes finicky, you can end up with unexpected hidden state and lose sanity over a stupid heisenbug. Trust me. IMO you don't need to compensate for bad configs if you're using a proper staging environment and push-button deployments (which is good practice regardless of... - Source: Hacker News / 3 months ago
3 Types of Chaos Experiments and How To Run Them
Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / 5 months ago
Outgrowing Postgres: How to identify scale problems
Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data. - Source: dev.to / 8 months ago