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, Pijul should be more popular than Datadog. It has been mentiond 41 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
In Pijul, conflicts are not modelled as a "failure to merge", but rather as the standard case. Specifically, conflicts happen between two changes, and are solved by one change. The resolution change solves the conflict between the same two changes, no matter if other changes have been made concurrently. Once solved, conflicts never come back. - from https://pijul.org/. - Source: Hacker News / 3 months ago
Do not try and bend the spoon, that's impossible. Instead, only try to realize the truth...there is no spoon. Then you will see it is not the spoon that bends, it is only yourself -- what Pijul users say when they overhear git users arguing with each other about monorepos. https://pijul.org/. - Source: Hacker News / 3 months ago
I believe that handling merges like this correctly was a motive for designing pijul: https://pijul.org See the item on the splash page about 'merge correctness'. Unfortunately I wasn't able to find the post detailing the behavior with a bit of searching. - Source: Hacker News / 4 months ago
Darcs [0] patch theory was a predecessor to OTs/CRDTs (and a predecessor to git as well; in some ways it is the "smart" to which git was named "dumb"). When it works and performs well it is still sometimes version control magic. Pijul [1] is an interesting experiment to watch, trying to keep the patch theory flag flying and also trying to bring in updates from OTs and CRDTs as it can. [0] https://darcs.net [1]... - Source: Hacker News / 4 months ago
IMHO the only really interesting alternative to Git currently is Pijul (https://pijul.org) as it is not a more-or-less Git clone but a different approach to the problem itself. Pijul allows for very interesting development and ci/cd workflows. - Source: Hacker News / 4 months ago
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