AWS CodeBuild VS Datadog

AWS CodeBuild Reviews

Datadog Reviews

AWS CodeBuild mentions (13)

• Low Cost "Overkill" AWS Infrastructure for a Newborn Startup

  Therefore, I used AWS Codebuild and AWS CodePipeline to automate the steps of building and deploying the services. The diagram below depicts all the steps required to continuously deliver the frontend and backend applications:. - Source: dev.to / about 1 year ago

• How CodeCatalyst compares to other AWS Services related to Development and CI/CD processes

  We treat these services in one  group as they belong together from a strategic point of view. They have been around for a few years and the teams that built these are now involved in CodeCatalyst. CodeCatalyst partly uses them “under the hood”. CodeCommit is a managed git hosting, CodeBuild is a managed “build” system, CodeStar is a “project management” tool. CodePipeline allows combining multiple CodeBuild steps... - Source: dev.to / about 1 year ago

• Well-Architected Review - Part II - Operational Excellence

  Design for Operations You should implement your entire workload as code. The benefit is that you can apply the same engineering discipline that you use for application code to your infrastructure. Use version control system like AWS Codecommit to enable tracking of changes and releases, and use AWS Cloudformation for your infrastructure templates. It is recommendable to test and validate changes to help limit... - Source: dev.to / over 1 year ago

• DevSecOps with AWS - Multi Environment deployments - Part 2

  AWS CodeBuild: fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy. - Source: dev.to / over 1 year ago

• DEVOPS AS A SERVICE

  AWS CodeBuild is a completely managed service for compiling code, testing quality assurance using automated procedures, and generating software ready for deployment. CodeBuild is incredibly secure, as each client receives a unique set of encryption keys to include in each created artifact. Source: almost 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 / 8 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