Finding the information you are looking for to create a report for your boss or a research for a customer can be a mess.
You need to research through private and company files and you don’t have an efficient instrument to achieve that. You know for sure that what you need is somewhere inside that long pdf or in some document in your cloud, but you can’t find it. And searching through keywords isn’t helpful at all.
Eventually, when you’ve found what you need and you begin to put it all together, keeping track of the sources is a problem: you need to write down from where you took every information but you are not able to notice when the original files are deleted or changed.
With Paragraphs you can create a report while searching, in 3 steps: 1. Upload your knowledge base on Paragraphs, ask a question, and retrieve the precise snippet of text containing the information you are looking for. 2. Gather the paragraphs with all the answers you need into a booklet, while the reference sources will be automatically tracked. You will be notified when the original files are deleted or changed. 3. Organize the selected paragraphs and add your personal touch with extra text blocks to compile reports, note-taking, summaries, researches, guides and much more.
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, Datadog seems to be more popular. 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.
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
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