Operations | Monitoring | ITSM | DevOps | Cloud

Any software application or a system can have bugs and issues in testing or production environments. Therefore, logging is essential to help troubleshoot issues easily and introduce fixes on time. However, logging is useful only if it provides the required information from the log messages without adversely impacting the system’s performance. Traditionally, implementing logging that satisfies these criteria in Java applications was a tedious process.

Modern, high-scale applications can generate hundreds of millions of logs per day. Each log provides point-in-time insights into the state of the services and systems that emitted it. But logs are not created in isolation. Each log event represents a small, sequential step in a larger story, such as a user request, database restart process, or CI/CD pipeline.

Azure File Storage is a cloud-based storage solution that allows users to create and manage file shares in the cloud. It is an excellent choice for businesses that require scalable and durable storage for their data. Azure File Storage Performance Tiers are one of the essential components of this solution, as they determine the level of performance and cost of your storage.

If you’re using Azure, you likely already know that it offers a wide range of storage options that can be used for various purposes. However, with so many storage options and regions available, it can be challenging to keep track of your usage in each Azure region. In this article, we’ll explore how to track your storage usage in each Azure region, and optimize your storage usage using Azure’s built-in monitoring and analytics tools, and Cloud Storage Manager.

Since the release of Grafana 9.0, we have been listening to feedback for Grafana Alerting from both our customers and the Grafana community forums. We have heard many of your recommendations, suggestions, and frustrations and have made significant improvements to Grafana Alerting since it became generally available last year. Here at Grafana Labs, we are always striving to improve our product and provide the best possible experience for our users.

Security in the cloud has become an increasingly important topic over the years, with the move to more managed services, additional trust is being handed over to cloud providers. With this being said, we must begin to pay closer attention to the security surrounding cloud computing, especially when it comes to Kubernetes. Join me as I explore the concept of confidential computing and a new use case we at Civo have been working on related to the Kubernetes control plane in managed clusters.

Developers are increasingly drawn to Functions-as-a-Service (FaaS) offerings provided by major cloud providers such as AWS Lambda, Azure Functions, and GCP Cloud Functions. The Cloud Native Computing Foundation (CNCF) has estimated that more than four million developers utilized FaaS offerings in 2020. Datadog has reported that over half of its customers have integrated FaaS products in cloud environments, indicating the growth and maturity of this ecosystem.