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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Lightrun & JFrog - Achieving Complete Agility With Continuous Debugging And Continuous Observability

CI/CD has become the de facto standard for infusing the software development process with hardcoded agility. Organizations are now integrating DevOps concepts and practices into their workflows in order to get great features out of the door faster and reduce internal friction. But your ability to understand what’s going on in a production service is pre-defined by the logs, metrics and traces (i.e. the three pillars of observability) your developers pre-defined during development. There is, however, a need for agility even after the service is live - in order to adhere to strict SLAs, decrease MTTR and save on logging costs.

MetricFire vs. Datadog

Before we dive into the specifics of MetricFire vs. Datadog, let's address the most critical point: scaling. Datadog is great for users who need to do a little bit of everything, but Datadog's biggest weakness is scaling. Datadog can do logs, APM, time-series and more, but scaling time-series metrics, alerts, and servers will cause your monthly bill to escalate. The graph below shows what you pay at Datadog vs. MetricFire: Now, let's dive into MetricFire vs. Datadog, and their key comparisons.