Red Hat OpenShift container platform enables enterprise/start-ups to develop, deploy, and manage existing container applications on-premise or in the cloud. Organizations can make use of proven, efficient, and powerful open-source technologies to create and deploy applications that are secured, scalable, highly available with minimal management and configuration.

We have a running joke at Stackery regarding our tiny little gong that’s used to mark the occasion when we get a new customer. And while I’m all about the sales team celebrating their successes (albeit with a far-too-small gong), I felt like the dev team needed its own way to commemorate major product releases and iterations.

I hosted a webinar where I covered why logging is important, how to choose a logging provider. And then shared our experience of setting up logging on Kubernetes containers, the Kubernetes logging framework and the logging best practices we’ve implemented internally and supported our customers who run Kubernetes in production.

I set out to find a credit mechanism or hard-coded limit in packets per second in AWS EC2. After all my findings set out in this series so far, I had one more test to perform around t2.unlimited. I wanted to see how “unlimited” it is and the difference it makes in packet throughput on capable instance types. This post is about my findings.

This article describes how continuous integration, delivery, and deployment can help development teams build and release software quickly and reliably.

Welcome savvy builder. If you’ve made it to our corner of the Internet and headed to re:invent, you are in the right place. We want you to leave Las Vegas with the savvy to choose how and when to apply the growing menu of serverless capabilities to your initiatives. To help you, we’re sending our serverless-first engineers to Las Vegas with three goals.

Today, around 20% of total applications in a large to medium size enterprise are cloud-native. Assuming 10% cannot be moved to Cloud, there are roughly 70% apps still sitting in a Data Center. CIOs are mandating these 70% apps to be moved to cloud. Application migration to the cloud is either manual or automated. Manual takes time and effort to make changes to the code and deploying them on cloud (after testing it inside out).

I don’t know what to say about this post… I found something weird while investigating PPS on EC2. It seems to correlate with CPU credits on t1/t2/t3 instances, but is consistently inconsistent in presentation. It only shows up when you track the stats yourself, because Cloudwatch doesn’t show the 1-second granularity needed to see these numbers.

These days, the biggest change to software development is the frequency of deployments. Product teams deploy releases to production earlier (and more often). Months or years-long release cycles are becoming rare—especially among those building pure software products.