Google Tag Manager VS Datadog

Google Tag Manager Reviews

Datadog Reviews

Google Tag Manager mentions (3)

• 5 WEBSITES TIPS TO SUPERCHARGE YOUR BUSINESS GROWTH- Creative Wave Tech

  Design a change global positioning framework, for example, Google Tag Manager and Google Analytics objectives and occasions, to log transformations and client ways (you can gain proficiency with about how to do that in our post, The Top 12 Website KPIs for Small Business). Source: over 2 years ago

• 4 Reasons Why Data Engineers Hate Google Tag Manager

  For years, Google Tag Manager (GTM) has made it easy for marketers and analysts to install and manage third-party analytics and marketing tools on their websites and apps. It provides a centralized platform allowing non-technical team members to add, edit, and disable tags without having to touch the source code. This means they don't have to bug you to add new tags or edit existing ones in the event of an update. - Source: dev.to / over 2 years ago

• Graph database question?

  For C360 implementations the there’s a tool called Segment (https://segment.com/) that unifies all the customer identities used across websites/phone apps. Within Segment there is a defined matching logic for identity resolution based on different keys used across apps such as User ID, email, phone number, address, social media account. The end result is each persona will have one Segment ID where all your traits... Source: about 3 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