Operations | Monitoring | ITSM | DevOps | Cloud

From our experience handling Azure Service Bus messages, one frequent suggestion we get from the support person is to download messages from Azure Service Bus entities like Queues and Topic Subscriptions. By downloading the messages as a local copy, it becomes easy for them to debug the messages and use it at a later point in time. Basic knowledge of Azure Service Bus messaging entities is a pre-requisite for the better understanding of this feature.

Don’t forget, it’s the hardware that makes the cloud The main issues we see with clients and cloud implementations are that it can be very difficult for them to get a clear idea of what it is they are buying and how well it will perform. While the consumption and billing models are clear, it can still be hard to know how much you will pay each month. But what is hard is predicting exactly what the level of performance you will get. Some of this is inevitable.

In the last few years, the usage of databases that charge by request, query, or insert—rather than by provisioned compute infrastructure (e.g., CPU, RAM, etc.)—has grown significantly. They’re popular for a lot of the same reasons that serverless compute functions are, as the cost will scale with your usage. No one is using your site? No problem: you’re not charged.

In today’s article, I will be highlighting eG Enterprise’s monitoring capabilities for Amazon’s AWS NICE DCV VDI protocol that was used first in Amazon’s AppStream 2.0 and now subsequently also in WSP 2.0 for the Amazon WorkSpaces service for digital workspaces.

If you’re embarking on a new project and evaluating public clouds, the cost involved will be one of your main considerations. You might decide to use Google Cloud Platform (GCP) as your primary cloud platform. If so, you’ll want to estimate costs based on listed prices. But it might surprise you to find a higher bill than you originally expected.

With serverless and containerized applications becoming a norm, workloads and integrations are spread across multiple cloud environments. As these apps become increasingly more distributed, monitoring also becomes more complicated with siloed and incomplete telemetry. This is where distributed tracing brings great value. It enables end-to-end visibility in your modern and complex application.

Setting FinOps KPIs helps keep your whole organization aligned toward the same financial goals. However, it takes more than simply setting a broad, company-wide financial goal and turning every employee loose to work on that goal without more specific directions. It’s far better to come up with realistic and achievable goals tailored toward each person or team that will be responsible for them. That’s because KPIs should ideally be focused around the typical persona of each team.