Operations | Monitoring | ITSM | DevOps | Cloud

Startup: get the Heroku experience on your AWS account

Heroku meets the needs of individual developers who want to deploy their applications seamlessly. The only requirement is to use a git repository and link your git repository to your Heroku account. However, for startups, Heroku has limitations. Those arguments make most of the startups moving away from Heroku to a more flexible place like AWS - which has 31% market share in Q2 2020.

Five worthy reads: The evolving employee experience

Five worthy reads is a regular column on five noteworthy items we have discovered while researching trending and timeless topics. This week, we explore how the employee experience is evolving with the new normal. The employee experience (EX) isn’t about ping pong tables or bring-your-pet-to-work days anymore. The new normal of working remotely has brought in a paradigm shift in the way businesses and employees operate.

Best practices for monitoring AWS CloudTrail logs

Engineering teams that build, scale, and manage cloud-based applications on AWS know that at some point in time, their applications and infrastructure will be under attack. But as applications expand and new features are added, securing the full scope of an AWS environment becomes an increasingly complex task. To add visibility and auditability, AWS CloudTrail tracks the who, what, where, and when of activity that occurs in your AWS environment and records this activity in the form of audit logs.

How we went from kops to EKS in production

Amazon’s EKS service (Elastic Container Service for Kubernetes) allows you to create a Kubernetes control plane in your AWS account without having to configure Kubernetes master nodes, etcd, or the api servers. In this blog post we will cover the motivation for using EKS, the preparation required to create an EKS cluster, how to configure EKS in Terraform, and how to set up kube2iam with EKS.

What are the benefits behind monitoring IT and OT convergent systems in Manufacturing?

Almost every single industry is now facing some form of convergence. Generally, it begins with optimizing a process and then optimizing the enterprise management systems for federating the management of each process. For the services industry, this convergence between systems has primarily been within the bounds of information technology. Manufacturing has an entirely different story to tell.

Better monitoring and logging for Compute Engine VMs

Over the past several months we’ve been focused on improving observability and operations workflows for Compute Engine. Today, we are excited to share the first wave of these enhancements are now available. These include: Significantly improved operating system support for the Cloud Monitoring and Cloud Logging agents. The ability to rapidly deploy, update, and remove agents to groups of VMs, or all of your VMs, by policy, with as little as a single gcloud command.

Microsoft Azure & JFrog: Accelerating Deployment With Virtual Kubelet And Artifactory

Virtual Kubelet simplifies the management of your Kubernetes cluster by rapidly spinning up pods behind an abstraction that takes care of scaling up and down your cluster. JFrog Artifactory is a universal binary repository that serves as a highly scalable container registry with advanced security scanning of container images. By combining Virtual Kubelet on Azure Container Instances (ACI) for fast orchestration and Artifactory to reliably serve container images, you get a highly scalable and secure platform for application deployment.