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.
Airtable is a powerful cloud-based software that combines spreadsheets and databases, offering real-time collaboration and customizable features for efficient task management1.
Based on our record, Airtable seems to be a lot more popular than Datadog. While we know about 129 links to Airtable, we've tracked only 5 mentions of 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.
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 / 7 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
For the backend, I opted for Airtable as a database. It's a simple, no-code solution that I've used before. It's not the most powerful database, but it's perfect for a project like this. I could easily add, edit, and delete records, and it has an embeddable form functionality that I used for user submissions. - Source: dev.to / about 1 month ago
Airtable.com — Looks like a spreadsheet, but it's a relational database unlimited bases, 1,200 rows/base, and 1,000 API requests/month. - Source: dev.to / 3 months ago
The ?XXXXX part of the URL identifies the type of interface page it is. Just copy that and then your formula is just "https://airtable.com.../...?XXXXXX=" & RECORD_ID() I'm not sure it works in every type of interface page (where you've started from a blank page for example). There has to be something to identify the record viewed from the page, if you see what I mean. Source: 8 months ago
So I started building something on airtable.com that would allow me to easily track updates for each batch. What in your experience would make sense to track that I may be missing? Source: 9 months ago
For character sheets, timelines and having records of chapters and scenes, I really really love Airtable. I have some examples here. Source: 10 months ago
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