Operations | Monitoring | ITSM | DevOps | Cloud

We are thrilled to announce the public beta of Spectate, a next-gen monitoring and incident management platform. Initially built as an internal tool, Spectate has now been expanded to enable public use. Spectate allows you to monitor your websites, manage incidents and create elegant branded status pages. With Spectate, you can set up custom alerts and notifications that keep you informed about any issues, helping you to identify and address problems quickly with the help of our Incident AI.

Get a guided tour on advanced Oracle monitoring based on Microsoft System Center Operations Manager.

Earlier this month, we announced a rebrand to meshIQ and in this blog we will highlight the reasons behind the rebrand and what you can expect going forward.

DevOps has exploded in popularity since the concept first emerged in 2009. A DevOps approach encompasses both practices and tools that engineers use to build quality software more rapidly. Before DevOps, software development followed a “waterfall” model. Back then, developers would code first, then perform quality assurance (QA) testing, and fix any bugs or errors as necessary.

When it comes to storing data in the cloud, there are many options to choose from. Azure, one of the leading cloud service providers, offers a wide range of storage options, including Azure Blob Storage and Azure Table Storage. Both are designed to help businesses store and manage large amounts of data, but they have different use cases and capabilities. In this article, we will compare Azure Blob Storage and Azure Table Storage and help you determine which one is right for your business needs.

Many variables — such as your users' device type and configuration, external hosting services, and third-party libraries — can impact an application's performance. Without a performance monitoring system in place, numerous problems can arise. These issues could even mean that users stop using your application.

Kubernetes has revolutionized container orchestration, allowing developers to deploy and manage applications at scale. However, as the complexity of a Kubernetes cluster grows, managing resources such as CPU and memory becomes more challenging. Efficient pod scheduling is critical to ensure optimal resource utilization and enable a stable and responsive environment for applications to run in.