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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Based on our record, Dependabot should be more popular than Datadog. It has been mentiond 13 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.
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
GitHub integrated security scanning for vulnerabilities in their repositories. When they find a vulnerability that is solved in a newer version, they file a Pull Request with the suggested fix. This is done by a tool called Dependabot. - Source: dev.to / almost 2 years ago
Dependabot provides a way to keep your dependencies up to date. Depending on the configuration, it checks your dependency files for outdated dependencies and opens PRs individually. Then based on requirement PRs can be reviewed and merged. - Source: dev.to / over 2 years ago
The first approach we looked at was Dependabot - a well-known tool for bumping dependencies. It checks for possible updates, opens Pull Requests with them, and allow users to review and merge (if you're confident enough with your test suite you can even set auto-merge). - Source: dev.to / over 2 years ago
Dependabot is dead simple and their punchline clearly states what it does. We started using it a couple of years back, a bit before Github acquired it. - Source: dev.to / almost 3 years ago
The most known tool for this is Dependabot. Dependabot integrates seemlessly into Github and is able to create pull requests for outdated dependencies. If you have set up automated tests on your codebase all you have to do is merge the pull request created by Dependabot. It does not get any easier. - Source: dev.to / almost 3 years ago
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