In the real world, when we implement systems, there are often many kinds of users, such as super business users and some level 1 support technicians who understand the application domain and can support a lot of your applications. Still, due to limited skills and experience with Azure, they are constrained to how much of the application they can help. A great example of this is when you have a solution that uses Azure Service Bus.

Observability is a measure of how well the internal state of a system can be inferred from its external outputs. It helps us understand what is happening in our application and troubleshoot problems when they arise. It’s an essential part of running production workloads and providing a reliable service that attracts and retains satisfied customers.

Amazon Elastic Kubernetes Service, or EKS, is a managed Kubernetes service. That means that Amazon Web Services (AWS) handles some of the deployment and management tasks for users. But the fact that EKS is a managed service doesn’t mean that AWS manages all administrative tasks. One key management task that isn’t fully covered as part of EKS is monitoring.

A plethora of surveys has shown that there is significant growth in the digital data that enterprises generate every day and it is becoming difficult for traditional on-premise systems to cope up with the enormous amounts of data. Also, the old methods require huge capital and resources. Therefore, Cloud-based Data Warehouses are taking the place of traditional ones to collect, store and analyze data coming from multiple sources.

AWS S3 is a cloud storage service that saves data as an object associated with a key. Objects are like files and keys are like filenames. Objects are stored in a bucket. We will be auto-generating our object keys while uploading. In a free tier account, you get 5GB of free cloud storage with AWS S3. Note: This tutorial is made for AWS S3 but works as well with S3 compatible providers like Wasabi.com

Azure Government is a dedicated cloud for public sector organizations that want to leverage Azure’s suite of services in their highly regulated environments. As these organizations migrate their applications to Azure Government, they need to ensure that they can maintain visibility into the status and health of their entire infrastructure.

Spot by NetApp’s Ocean continually optimizes a Kubernetes cluster’s data plane. When Ocean identifies nodes that aren’t being fully utilized, it simulates various bin packing scenarios. Once a more efficient layout is identified, Ocean reschedules pods, and then gracefully terminates the underutilized nodes. Ocean’s continuous optimization of cluster infrastructure saves your organization money and is better for planet Earth!

The need for relevant and contextual telemetry data to support online services has grown in the last decade as businesses undergo digital transformation. These data are typically the difference between proactively remediating application performance issues or costly service downtime. Distributed tracing is a key capability for improving application performance and reliability, as noted in SRE best practices.