Operations | Monitoring | ITSM | DevOps | Cloud

This blog post was co-authored by Igor Shvartser, Senior Technical Product Manager at Amazon Timestream, and Michael Mandrus, Senior Software Engineer at Grafana Labs. Grafana Labs Senior Software Engineers Stephanie Hingtgen and Kevin Minehart also helped with the content.

Cloud Infrastructure Management is the most efficient way to manage your IT resources in a flexible and decentralized way. This type of IT infrastructure provides the scalability, flexibility, and cost-effectiveness required to meet the dynamic demands of organizations of all sizes. Because of this, many business in today's work environment opt for this model.

Long before a business addresses ‘who’ it will choose to deliver the benefits of colocation, it needs to understand ‘why’. This is especially important if that decision is being made in the context of a choice between edge architectures, or alternatives such as hyper-scale cloud. Typically, the main order of motivation is performance, cost and control.

This post gives an overview of how to build applications using the updated Docker + WASM technical preview, along with some observability best practices.

ELB cost optimization- CloudSpend Amazon Elastic Load Balancing (ELB) is a load balancing service that automatically and evenly distributes incoming traffic from client-side applications across multiple virtual server instances, like Amazon EC2 instances, containers, or IP addresses, in different availability zones. It smoothly handles server instance failover and unavailability, thus increasing the application’s fault tolerance.

In the constantly evolving world of technology, managing containerized applications at a scale that can match growing business demands is a challenging task. Microsoft, however, has emerged as a leader in this field, offering the Azure Kubernetes Service (AKS). AKS is a managed container orchestration service that provides a rich and robust platform for developers to deploy, scale, and manage their applications.

Keeping up with the speed of business requires the right tools and tech. You expect efficiency gains when moving to and from the cloud, but risks and visibility gaps happen when resources are monitored by separate tools and teams. And since on-premises infrastructure is likely managed by dedicated IT teams and monitoring tools, you can’t clearly see if migrated resources perform correctly. The results involve disconnected visibility, tool sprawl, and increased MTTR.

Unfortunately, no Logic App connector can make the bridge to RabbitMQ, which makes this integration challenge a little bit more complicated. However, we have the ability to create an Azure Function by using the RabbitMQ trigger for Azure Functions to overcome this limitation. The purpose of this POC is to receive a message in a RabbitMQ queue, and that event triggers an Azure Function, which fires a Logic App.

Amazon Elastic Kubernetes Service — or Amazon EKS — is a managed service that enables you to run Kubernetes on AWS without having to manage your own Kubernetes clusters. The JFrog Platform is available on AWS, making it super simple to deploy applications reliably and predictably, scale them quickly, roll out new features easily, and make the most of hardware resources.