Sentry.io Reviews

Apache Camel Reviews

Sentry.io mentions (54)

• 5 easy tips to improve your personal website performance

  Lazar guides you through all the low-effort image optimization tips you need to make sure your personal website stays in good shape, with some bonus advice on how you can monitor your website performance using Sentry in terms of image resources. - Source: dev.to / 28 days ago

• 10 best Javascript debugging tools

  Sentry stands as a robust open-source tool for keeping an eye on errors in real-time and digging into issues across a range of programming languages. It's a robust platform that gathers errors and adds essential context to the stack traces, enabling developers to effectively prioritize and solve critical business issues. - Source: dev.to / 5 months ago

• Killed by open sourced software. Companies that have had a significant market share stolen from open sourced alternatives.

  And on the server side, closer to services like DataDog, I think it's fair to say that Sentry has had a significant impact. Source: 6 months ago

• Mastering Error Tracking: A Beginner’s Guide to Sentry in Your NestJS Project

  We are going to have a hands-on example of implementing an error track inside a NestJS project, we are going to use Sentry as a tool to help us see and be ahead of the problem before they are properly reported by the users. Application Performance Monitoring & Error Tracking Software. - Source: dev.to / 7 months ago

• Setting up Django in a Better Way in 5 Minutes and Understanding How It Works

  Create an account on Sentry and create a project for Django. You can follow the steps on Sentry documentation for Django to get your dsn link and update the SENTRY_DSN variable. Enter the value without quotes here. SENTRY_DSN=https://examplePublicKey@o0.ingest.sentry.io/0. - Source: dev.to / 7 months ago

Apache Camel mentions (12)

• Ask HN: What is the correct way to deal with pipelines?

  "correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas: - https://camel.apache.org/ - https://www.windmill.dev/ Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO. - Source: Hacker News / 9 months ago

• Why messaging is much better than REST for inter-microservice communications

  This reminds me more of Apache Camel[0] than other things it's being compared to. > The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue This is almost exactly the definition of message routing (ie: Camel). I'm a bit doubtful... - Source: Hacker News / over 1 year ago

• Can I continuously write to a CSV file with a python script while a Java application is continuously reading from it?

  Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code. Source: over 1 year ago

• S3 to S3 transform

  For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture. Source: over 1 year ago

• 🗞️ We have just released our JBang! catalog 🛍️

  🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes. - Source: dev.to / over 1 year ago