Operations | Monitoring | ITSM | DevOps | Cloud

OpManager + Applications Manager Solution Can Now Manage Network, Storage, Application and Cloud Environments from One Console.

Picking the right tools to handle the deployment will depend on your environment. Since there are so many ways to deploy to Azure services, we won't be able to get into the weeds, but I will cover enough so that you can hopefully find the right deployment solution for you.

Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easyfor you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

What is whitebox monitoring? Why do we monitor our systems? What is the Azure Monitor plugin and how can I use it to monitor my Azure resources? Recently, I spoke at Swetugg 2018, a .NET conference held in Stockholm, Sweden to answer these questions. In this video you’ll learn some basic monitoring principles, some of the tools we use to monitor our systems, and get an inside look at the new Azure Monitor plugin for Grafana.

Serverless apps are growing in popularity, thanks to tools like AWS API Gateway and Lambda, and a growing number of powerful frameworks that simplify development and deployment. Complex applications are still complex, however, and regardless of your platform you’ll still need to think about observability.

Azure has an offering for Kubernetes: Azure Kubernetes Service (AKS). In this post, Learn more about AKS and show you two methods you can use it to create a cluster.

When we announced support for ingesting AWS Elastic Load Balancer access logs to Honeycomb, one of the first follow-up requests was for us to add support for AWS Application Load Balancer as well (which, alongside the Network Load Balancer, represents ELBv2). Given the list of features that ALB supports, it’s not difficult to see why. Who doesn’t want microservice-friendly path routing, native HTTP/2 support, tight integration with Amazon’s container-related services, and more?

LogicMonitor’s LM Cloud now offers support for monitoring Azure cloud spend (in addition to detailed AWS cloud spend). We’ve made it easier than ever to monitor cloud costs and control them. LM Cloud utilizes Azure’s Rate Card and Usage APIs to calculate Azure billing data and break it down in a meaningful way. By default, cost is monitored per subscription, per region, per service, and per operation, with the ability to enable monitoring per tag as well.

Just a quick post highlighting some of the changes made since Apex Up v0.5.0! If you’re unfamiliar with Up, it’s a command-line tool to help you deploy and manage near-infinitely scalable serverless web applications and APIs on AWS. You can deploy as many applications as you need, for the fraction of the price of other providers, with zero operational maintenance or manual scaling efforts.