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DevOps

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Bring Your Own Cluster - CloudHedge Cruize

At CloudHedge, we’re making use of AI to mitigate inefficiencies and speed up the automated application modernization process. Deploying applications on the cloud has always been challenging, there are so many parameters involved that the entire deployment process becomes tedious. To make matters easy, we have CloudHedge’s Cruize module which can be used for deploying your app on cloud, be it AWS, GCP, IBM Cloud or even Azure.

Machine Learning driven Closed Loop Automation

The reliance on digital transformation and data is ever increasing for businesses to be successful in the current environment. The agility at which the business can respond to real-life situations is proportional to the level of digitization that has been implemented in the business. For a business to nimble and agile, it is imperative that all the processes be delivered as a digital service that can be provisioned, monitored and remediated as by an automation logic at the core of the business.

Running Lambdas on your Laptop

Serverless has the potential to bring massive ops advantages to projects of all sizes, but while it presents great business benefits, we need to spare a thought for how teams develop on serverless. I recently published ‘Serverless Development is Broken’ a list of concerns about how developers can work with long deploy times inherent in a cloud-only code environment.

How to Empower DevOps to Make Better Cloud Cost Decisions

When it comes to cloud strategy, companies rank “cutting costs” as their top priority for 2019, according to a recent Datamation survey. That’s not to say that they plan to cut back on cloud spending in general; in fact, those budgets are very much expected to grow. Rather, companies are looking for ways to reduce unnecessary costs and optimize cloud spend.

Kubernetes as a Service: GKE vs. AKS vs. EKS

Kubernetes (K8s) is a prevalent open-source system for automating the deployment, scaling, and management of containerized applications. However, maintaining the service can be difficult and expensive. For that reason, it is easy to find platforms offering Kubernetes as a managed service. In this article, we will analyze three of the most popular services currently available: Google Kubernetes Engine, Azure Kubernetes Service, and Amazon Elastic Container Service for Kubernetes.

Kubernetes Master Class: How to Secure Production Kubernetes and Service Mesh Workloads on Rancher

As more container deployments move into production there will be an increasing level of attacks on application containers and the orchestration tools to manage them. The success of Kubernetes has been a major enabler for the “service mesh” concept to become a reality, as a “sidecar” container is the ideal form-factor for service mesh functions to be placed together with the service itself. The important thing to remember is that, although a service mesh has security features, it is NOT a security solution. It is not designed to provide the type of network, endpoint and host security required for defense in depth.

Does Infrastructure Monitoring Matter?

When things are going well, monitoring isn’t top of mind. But when services suffer a performance degradation or failure, then, suddenly, monitoring matters. Senior IT officers want to know what caused the problem, and stakeholders want to know when the problem will be resolved. Yet there isn’t a single source of truth. Instead, there are siloed monitoring solutions haphazardly stitched together that rarely provide timely answers.