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.
NeDB might be a bit more popular than Datadog. We know about 7 links to it since March 2021 and only 5 links to Datadog. 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.
Yes! I plan to maintain it long-term! I will be rolling out some feature improvements and updates these few weeks. I still think Kong did a good job in crafting the product. I started using Insomnia in my previous company 3 years ago and our team loved it. What happened recently felt a little bit like the Unity fiasco (of course, in a much smaller scale). Though as a user I would say Kong had taken a bad turn, I'm... - Source: Hacker News / 9 months ago
At least for my needs, NeDB[0] is the best of both worlds for prototyping and early-stage production releases. It's human-readable, on-disk, greppable, still supports indexing and a subset of Mongo features while remaining serverless and in-memory. [0] https://github.com/louischatriot/nedb. - Source: Hacker News / almost 2 years ago
Local: Local specific logic. For example, code to write to a Nedb table. - Source: dev.to / about 2 years ago
What I'd do to get the best understanding of how NeDB works is to dive into the docs here. The primary things to keep in mind are that there can be other non-JSON data in those files, and that all of the document data is appended and periodically compacted, which means you'll often have an arbitrary number of duplicates and versions within the same file. Source: about 2 years ago
I've used https://github.com/louischatriot/nedb before but it may not meet your needs. 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: 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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