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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Xapian 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.
Recoll is free/open source (GPL) that can index PDFs and search them very quickly. It uses Xapian under the hood. I have over 165,000 documents indexed on an old laptop running Linux and can query them all in a split second. Source: 7 months ago
+ xapian which has been around a while, and while gpl licensed, is quite capable https://xapian.org/. - Source: Hacker News / over 1 year ago
Tangentially related if you need search without the clustering and high availability story of elastic search and friends I highly recommend Xapian. Its like the SQLite of search. Single library that provides the basic set of features you would expect in a quality search experience: facets, ranked search, boolean operators, stemming etc etc. https://xapian.org/. - Source: Hacker News / over 1 year ago
For fast searching, it usually requires indexing the files in question. There are a number of text-file indexing solutions, many of which use xapian, sphinx, or lucene/solr under the hood. Based on conditions (watching files/directories, cron jobs, new-mail triggers, etc), they'll add/remove files to the index, and you can then use a corresponding command to compose queries across that data. If it's indexed, it... Source: about 2 years ago
There is also xapian/recoll https://xapian.org/ which works great for "desktop" search. - Source: Hacker News / over 2 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 / 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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