COLUMBIA, Md., June 18, 2019 — StatusCast, a leading SaaS provider of Corporate Status Pages, is pleased to announce the successful completion of a Service Organization Controls (SOC) 2 attestation engagement covering the trust principles of Security, Confidentially, and Availability.
Monitoring an Azure environment can be a challenging task for even the most experienced and skilled team. Applications deployed on Azure are built on top of an architecture that is distributed and extremely dynamic. But all is not doom and gloom. Azure users have a variety of tools they can use to overcome the different challenges involved in monitoring their stack, helping them gain insight into the different components of their apps and troubleshoot issues when they occur.
If you are hosting your application with Heroku, and find yourself faced with an unexplained error in your live system. What would you do next? Perhaps you don’t have a dedicated DevOps team, so where would you start your investigation? With Scout APM of course! We are going to show you how you can use Scout to find out exactly where the problem lies within your application code.
Often there’s a focus on how a service is running from the perspective of the organization. But what does service health monitoring look like from the perspective of a user? There are many metrics that indicate the overall health of a container, vm, or application, but independently they do not indicate if the system is functioning correctly. Often these metrics (CPU, disk, memory) are too narrow, and they can be poor indicators. High CPU may be desirable or bursts of memory usage may be normal.
This is the third of a series of three articles focusing on Kubernetes security: the outside attack, the inside attack, and dealing with resource consumption or noisy neighbors. A concern for many administrators setting up a multi-tenant Kubernetes cluster is how to prevent a co-tenant from becoming a “noisy neighbor,” one who monopolizes CPU, memory, storage and other resources.
Orquesta is the new workflow engine in StackStorm. If you are on the fence choosing which workflow services to use from AWS, Azure, or GCP and you are thinking that this post is too long to read, then just skip ahead and run StackStorm.
