Let’s face it. Gaining a competitive advantage in the target market is expensive. Even if you have a good idea and its execution plan in mind, operations related to management, storage, networking, service provisioning, security, and application management will cost you a fortune. To say the least, a cutting-edge IT infrastructure, a reliable team, and a strategy for rapid product releases or expansion/scaling is a must for your product’s success.

In this blog post, I follow on from my previous blog on AWS CloudWatch Part 1 of 2 to explore how you can go beyond basic agentless CloudWatch monitoring by deploying the CloudWatch agent and some of the key information and planning you need to do this. I’ll also cover how eG Enterprise offers out-of-the-box functionality to avoid complex JSON scripting or tooling to implement monitoring.

We are going to deploy a Go application directly from your repo to AWS with Cloud 66. Any application using any language on any framework can be deployed with Cloud 66 as long as it has a Dockerfile. Note: Rails applications are exceptions as we deploy them natively. If your application does not have a Dockerfile, we will suggest one for you based on your code. However, we would recommend reviewing what we have suggested and making sure the Dockerfile meets your requirements.

When Apache Spark introduced native support for Kubernetes it was a game changer for big data. Speed, scale and flexibility are now at the fingertips of data teams—-if they can master Kubernetes. It’s an uphill climb for even experienced DevOps teams. At Spot by NetApp, we’ve seen first-hand the challenges that companies are facing as they navigate the complexities of operating large-scale Kubernetes applications.

Feature announcement: You can now cancel Platform.sh activities through the CLI and management console. Last year we released activity scripts, custom scripts that you can upload to your projects to run in response to any project or environment activity. In March we announced parallel activities, a queue that allows two simultaneous processes across your environments. Today we’re announcing another change to your activities—you can now cancel them.

Since our inception, Sumo Logic has been laser-focused on delivering real-time machine data analytics to accelerate digital transformation, while helping businesses effectively build, run, and secure their modern applications and infrastructure—in the cloud or in hybrid environments.

Today, cloud native technologies empower a number of organizations to build and run scalable applications in public, private and hybrid cloud environments. Developer and operation teams can build and deploy applications, APIs and microservices architectures with the speed and immutability of containers. Gartner predicts that by 2024, more than 75% of large enterprises in mature economies will be using containers in production.

Business leaders and team members face countless decisions every day, some of which are certain to have an impact on the future of a company. Perhaps the most impactful to a SaaS company’s bottom line are financial decisions related to the cloud. Engineers and team leads need to know which cloud architecture choices are worthwhile and which should be scrapped in favor of a more cost effective model.

The global footprint of Microsoft Azure is made up of physical infrastructure of over 200 data centres and connective network components, arranged into regions, and linked by a large interconnected network. Each of the Azure data centres provides high availability, low latency, scalable cloud services close to users to improve reliability and speed. In this blog, we look at the Azure Regions, and explain the benefits of using a direct connection to access Azure infrastructure.

This blog post discusses some of the best practices for balancing the costs of cloud traffic monitoring while maintaining a reasonable level of visibility. Progress Flowmon 12 has introduced the processing of native flow logs from Google Cloud and Microsoft Azure, plus it has enhanced support for Amazon Web Services (AWS) flow logs.