Operations | Monitoring | ITSM | DevOps | Cloud

Preview environments are temporary environments where developers can test code changes before deploying them to production, also called ephemeral environments, they’re temporary and should be discarded after testing changes. Carrying out tests using accurate data is a major challenge when creating and destroying environments. Put differently, you need realistic data and traffic in the preview environment to reflect the performance of code changes in production.

In this post we want to give a simple introduction for using network policies in a sample project and explaining how it works in K3s to help improving the security of your deployments. There is a common misunderstanding about K3s support for network policies, as K3s is using flannel CNI by default, and the Flannel CNI doesn’t support network polices.

Rancher is a Kubernetes management platform that creates a consistent environment for multicloud container operation. It solves several of the challenges around multicloud Kubernetes deployments, such as poor visibility into where workloads are running and the lack of centralized authentication and access control. Multicloud improves resiliency by letting you distribute applications across providers.

Scaling up your development organization typically involves spreading development across multiple locations around the globe. One of the key challenges with multisite development is ensuring reliable access to required software packages and artifacts for teams collaborating across time zones. The JFrog Software Supply Chain Platform solves this challenge with federated repositories in JFrog Artifactory.

Distributed Tracing, combined with end-to-end monitoring, lets organizations keep track of their business transactions and receive alerts when anomalies happen. End-to-end monitoring benefits business users and functional administrators more than developers and technical administrators. Nowadays, for developing integration solutions, microservice architectures are becoming the norm. A solution based on such an architecture relies on different services that shape a specific solution together.

Azure Storage is a cloud-based storage solution that provides secure, scalable, and highly available storage for your data. It is a crucial component of Microsoft’s Azure cloud platform, providing various storage services, including Blob Storage, File Storage, Queue Storage, Table Storage, and Archive Storage. In this article, we’ll take a deep dive into Azure Storage and discuss 90 things you may not know about it.

Artificial Intelligence (AI) has become a buzzword in recent years. From chatbots to self-driving cars, AI has transformed how we live, work, and interact with the world around us. AI technology has been deployed across various sectors, including healthcare, finance, manufacturing, and more, to improve efficiency, accuracy, and decision-making capabilities. However, as AI systems become more complex, monitoring them to ensure optimal performance and prevent issues or errors becomes crucial.