Apitally
APIToolkit
Moesif
NewRelic
Axe API
Runscope
Thunder Client
Kliniki
Datadog
Zabbix
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Prometheus
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AppDynamics
A refreshingly simple REST API companion for busy engineering teams using Python or Node.js.
API traffic monitoring & analytics - Keep track of API requests, errors, and response times with our simple dashboard. Get insights into the usage and performance of each endpoint. Filter by API consumer to understand different usage patterns.
API uptime monitoring & alerting - Monitor API uptime and availability. Get alerted immediately if things go wrong.
Supported web frameworks - FastAPI, Starlette, Flask, Django Ninja, Django REST Framework, Express, NestJS, Fastify, Koa
Why Apitally? - Focus on data privacy. No collection of sensitive data. Easy to integrate with new and existing API projects. No impact on performance. No infrastructure changes required. No limit on number of requests.
Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.
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Apitally's answer
Apitally focusses on simplicity, data privacy and affordability. It is super easy to integrate with new and existing API projects, never collects sensitive data and offers a free plan for small projects.
Apitally's answer
Apitally's answer
Apitally never captures sensitive data (no data masking required), has no impact on the performance of your application, and no limits on the number of requests your application receives. If you just need a simple and affordable way to monitor your API and don’t require an enterprise-grade solution with all the bells and whistles, Apitally might be a good fit for you. You can get started for free in less than 5 minutes.
Apitally's answer
Apitally is an indie product by Simon Gurcke, who founded Apitally as a solopreneur. Simon has been building web apps and APIs for many years, as an individual developer and in small teams. He found himself often reinventing the wheel or hosting extra tools for monitoring his APIs. He believes it should be simple, not get in the way of creating value for users and not break the bank. That's why he's building Apitally.
Apitally's answer
Engineering teams of all sizes and product owners building and maintaining REST APIs in Python or Node.js.
Based on our record, Datadog should be more popular than Apitally. It has been mentiond 5 times since March 2021. 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.
Apitally: Easy-to-use API monitoring for Python and Node.js. - Source: dev.to / about 1 month ago
Apitally: Simple and easy-to-use API monitoring tool covering traffic, performance, errors, and uptime. - Source: dev.to / 3 months ago
Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / 9 months ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 1 year ago
Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 3 years ago
.. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: about 3 years ago
We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / about 3 years ago
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