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

2021 Kubernetes on Big Data Report: Data Management | Pepperdata

Get the Pepperdata 2021 Kubernetes on Big Data report and start your journey of better understanding how your competitors are managing their data with Kubernetes. Cloud vendors have proliferated and promised users optimal performance and tight spend. Still, many of these vendors don't provide visibility into Kubernetes big data, resulting in performance issues, poor resource allocation, overspending, and ineffective tuning. To fully optimize your Kubernetes big data, maximize performance, and reduce spend, you need to step beyond the basic K8s measurements and look at app performance.

Catching Log4j in the Wild: Find, Fix and Fortify

At many organizations, the surprise discovery that the widely used Apache log4j open source software has harbored a longtime critical vulnerability was as if Scrooge and the Grinch had teamed up for the biggest holiday heist of all. Incident response teams across the globe have scrambled to remediate thousands, if not millions of applications. “For cybercriminals this is Christmas come early,” explained Theresa Payton, former White House CIO and current CEO of Fortalice Solutions.

It's All About Developer Experience [DX]

Looking at where major DevOps trends are headed, a common theme across many tools and practices is improving the Developer Experience or DX. One paradigm of thinking is that if you improve your internal customer experience, then your external customers will benefit too. However, up until now, the Developer Experience has been quite siloed and segregated for a multitude of reasons, such as scaling or having best-of-breed technologies to support individual concerns. Presentation on DX.

How To Use Buildpacks To Run Containers

The high demand to deliver software that is both highly available and able to meet customer requests has, in part, led to the adoption of microservice architecture, a software architecture pattern that makes it easier to deploy applications as self-contained entities called containers. These containers are nothing but processes that run as long as the application in them is running.

Authentication Methods for the Mattermost Apps Framework

In the first part of this series, we explored the fastest way to get started with Mattermost Apps. In the second installment, we looked under the hood of a Mattermost App and examined how it works and how its components interact with each other. In this piece, we’ll outline the various authentication methods available using the Mattermost Apps framework.

Red Hat removing support for Puppet in Satellite: What you can do

Users of Red Hat Satellite will see changes coming out with regard to how Satellite interacts with Puppet. Satellite has long bundled Puppet in the distribution, using Puppet both as the Satellite installer and for configuration management. Users also had the option to leverage Satellite as an External Node Classifier (ENC) for their Puppet estates. Red Hat acquired Ansible, an imperative configuration management tool, in late 2015.

DevSecOps - Shifting Security to the Left

Modern day software development approaches such as DevOps, have certainly reduced development time. However, tighter release deadlines push security practices to a corner. This blog explains how Shifting Security to the Left introduces security in the early stages of DevOps Lifecycle, thus fixing software bugs proactively. We have come a long way in the DevOps lifecycle, from releasing the code every month(or sometimes more than that) to every day(or every hour).

Integrating GitOps with DevOps: implementing the best of both

GitOps has become a buzzword. Developers love it, because it folds DevOps into Git, a frequently used and familiar tool. Using one tool to manage multiple DevOps activities sounds fantastic, and it can be helpful for many. The truth is GitOps has limits. In this article, we explore DevOps and GitOps, compare their similarities and differences, and examine how their principles can work together to support your software development goals.

Get the best out of Azure Data Factory - Part 2

This blog is the continuation of the blog “Get the best out of Azure Data Factory – Part 1“. It explains how Serverless360 addresses the pain points and enhances the usage of Azure Data Factory. Serverless360 is a single platform solution that enables Operations and Support Teams to manage and monitor Azure Serverless services more efficiently. Let us have a quick recap of part 1 before looking into new features that Serverless360 provides for Azure Data Factory.

Rethinking Your Software Distribution Infrastructure

Accelerating software distribution is a critical part to enabling enterprise delivery at scale. Throughout the SDLC processes, we’re required to continuously distribute software packages — either to remote development teams as part of CI cycles, to production environments or devices for deployments, or for public downloads by your developers or partners ecosystem. The key attributes of Distribution workflows create network challenges around bandwidth, resiliency and availability.