DeBounce is a fast, accurate, and affordable email validation service. It helps businesses to get rid of invalid email addresses from their databases. If you use popular ESPs to send emails, DeBounce can easily integrate with them and transfer your lists for validation. Here are some key features of DeBounce:
Besides the paid services, DeBounce offers some free services. It offers a life-time free disposable email detection API that helps you combat fake and temporary signups. However, if you want to have a more complex validation engine, you can go for a paid plan. DeBounce has more than 900 positive reviews which show the customers are satisfied and the team really cares about each customer.
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.
We have recently validated 50K email addresses using DeBounce. All is good so far. I recommend this email validation tool to others.
Based on our record, Datadog should be more popular than DeBounce. 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.
I was going to recommend debounce.io, but just saw this message. Source: over 2 years ago
Have you run your list through a list cleaner/deliverability solution? I use debounce's API (debounce.io) for our product and it is pretty good. Source: almost 3 years ago
I use a list taken from GitHub but we also use an API to check if it’s a disposable inbox (https://debounce.io/). Source: almost 3 years 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 / 8 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: almost 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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