Operations | Monitoring | ITSM | DevOps | Cloud

Webhook monitoring helps ensure your system is working correctly. It gives you an understanding of the health of your webhooks. This article will cover different kinds of webhook tracking and how to implement them in your system. To follow this article, sign up for a free trial of MetricFire.

Kubernetes is now much past a hyped-up buzzword and has become nearly the de facto platform for microservices, enabling the flexibility and scalability modern engineering organizations require. It’s no surprise then that many organizations still running on legacy platforms are exploring how to migrate to cloud-native platforms like Kubernetes.

As an engineer or CTO, you already know that monitoring your tech stack is essential for maintaining optimal performance, security, and health. The thing is, building and hosting an observability platform for your full stack’s logs, metrics, and more is quite time-consuming and can be costly. One of the top contenders if you are seeking a SaaS-based monitoring and observability tool is Datadog. Perhaps you already use Datadog but would like to switch to another observability platform.

Adopting DevOps practices can be a game changer for startups, offering a bridge between development speed and operational stability that can accelerate growth. Yet, many startups falter in their DevOps journey, making preventable errors that undermine their potential advantages. Let’s discuss seven common DevOps mistakes that startups make, providing practical insights on how to avoid these pitfalls and maximize the benefits of DevOps practices for startups.

Continuous integration and continuous deployment (CI/CD) are the backbone of modern software delivery, but there’s still limited visibility into their processes. Here’s how that’s changing with OpenTelemetry (OTel), and why those changes are so exciting.

Idle resources are a significant problem in Azure, resulting in unnecessary costs and waste. In this blog, we’ll explore how to identify and eliminate idle resources in Azure, reducing waste and optimizing cloud costs.

In our previous blog post, we explored JFrog Workers, a JFrog Cloud Platform service that allows you to create customized workers that can respond to events in the platform. These workers can perform various tasks, from running code to adjusting functions, giving you more flexibility and control over your workflows. Allowing you to automate processes and streamline your development pipeline in a serverless execution environment.