JSON Web Token VS Datadog

JSON Web Token Reviews

Datadog Reviews

JSON Web Token mentions (276)

• Authentication using JSON Web Tokens.

  NOTE: Never store sensitive information about a client in the payload as the JWT is just encoded and not encrypted. You can paste the JWT I gave as an example above in this cool site which basically allows you to see in decoded. JSON Web Tokens - jwt.io. - Source: dev.to / 30 days ago

• Building Llama as a Service (LaaS)

  Although they did not make it into production, I experimented with the RabbitMQ message broker, Python (Django, Flask), Kubernetes + minikube, JWT, and NGINX. This was a hobby project, but I intended to learn about microservices along the way. - Source: dev.to / about 1 month ago

• Rethinking password security: say goodbye to plaintext passwords

  JSON Web Token (JWT) creation to extend user authentication to server-side functions. - Source: dev.to / about 1 month ago

• JWT, JWS, JWE and how to cook them

  The (probably) most famous web resource about JWT - https://jwt.io - provides such a definition of JSON Web Tokens:. - Source: dev.to / about 1 month ago

• JWT Authentication in NodeJS

  If you want to play with JWT and put these concepts into practice, you can use jwt.ioDebugger to decode, verify, and generate JWTs. - Source: dev.to / 2 months 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