Q9 Elements VS Datadog

Q9 Elements Reviews

Datadog Reviews

Q9 Elements mentions (4)

• elements.cloud - looking for feedback

  I've seen demos of elements.cloud and believe it is the industry leader for it's capabilities. I haven't heard of struggles that have been documented publicly, but I know Ian would take any feedback with high regard and make changes where needed. I'd be happy to do an intro to Ian Gotts (founder and CEO), if you'd like. You can find me on LI at: https://www.linkedin.com/in/thecrmtechrecruiter/. Source: about 1 year ago

• elements.cloud - looking for feedback

  I'm looking to gain some feedback on https://elements.cloud/. Personally I haven't seen another tool that performs to its likeness. Source: about 1 year ago

• Real-world experiences only: what third-party apps have actually improved your workflow?

  Inspiration for this post: I tried out Elements.cloud to diagnose an integration issue and I found the root cause in about 15 minutes. I was able to piece together that a stakeholder changed FIELD API NAMES, without updating Flows or the integration mappings to Salesforce. Had I not used it, it likely would've taken me much longer. I'm also NOT sponsored by this. Source: about 1 year ago

• What are some of the best tools to draw diagrams/flowcharts .

  Elements.cloud is free with many licenses, but takes a bit of getting use to as it doesn't use BPMN standards. Source: over 2 years ago

Datadog mentions (5)

• Send the logs of your Shuttle-powered backend to Datadog

  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

• I wanted a self hosted alternative to Atlassian status page so I build my own application !

  Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 1 year ago

• Datadog on Kubernetes: Avoiding Common Pitfalls

  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

• Post-DockerCon spam

  .. 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

• Never write a UserService again

  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