Software supply chains are mission-critical for digital businesses, and as global conditions accelerate the growth in contactless interactions and transactions, many organizations are reviewing how to solve the challenge of scaling the volume and velocity of their software development and release processes to meet the digital demand. The latest JFrog Platform release delivers a rich payload of new capabilities to scale and secure the software supply chain for digital businesses.

All too frequently system administrators and developers need to keep an eye on critical signals generated by their production systems. However, if these signals are highly specific in nature, tracking them can be tough. Most monitoring systems stick to tracking standard metrics emitted by servers hosting applications. But what happens if you need to monitor a number of specific customers that have signed up in the last hour and custom metrics?

In this latest consideration guide created to assist IT operators in which tools they choose for a range of different processes and activities, we’ve gathered a range of insights from some of our favourite specialists to take you through the essentials tools of configuration management. Configuration management is a systems engineering practise that ensures consistency of the configuration supporting both software and hardware of a company or product.

Advertising tycoon David Ogilvy famously remarked, “Half the money I spend on advertising is wasted; the trouble is I don’t know which half.” Replace the word “half” with “one-third” and “advertising” with “public cloud” and you’d describe what enterprises are grappling with right now. They know that not all of the cloud resources they’re paying for are being used, but they don’t know which ones those are.

At Cloudsmith, we strive hard to ensure that private Cloudsmith repositories work with any build and release process that our customers use. Our mission is to be the universal package management solution that any modern DevOps workflow requires.

While containers are known for their multiple benefits for the enterprise, one should be aware of the complexity they carry, especially in large scale production environments. Having to deploy, reboot, upgrade or apply patches to patches to hundreds and hundreds of containers is no easy feat, even for experienced IT teams. Different types of Kubernetes solutions have emerged to address this issue.

Your business seeks a high-performance, flexible, cost-effective, and more secure alternative to Multiprotocol Label Switching (MPLS). Welcome to software-defined wide area networks (SD-WANs)! An improvement over legacy dedicated MPLS circuits, SD-WAN solutions deliver easily manageable networks with a high quality of service (QoS). Yet, your IT team tells you that SD-WANs aren’t cloud-optimized or mobile-device friendly.

In my last post (read here), we saw how CloudHedge enables enterprises to execute the transformation of WebSphere ND on Linux Apps to WebSphere Liberty Container in a non-intrusive way. As an addition to the previous post, this one talks about transforming WebSphere ND on AIX to WebSphere Liberty containers using CloudHedge’s App Modernization platform.

An important SRE best practice is analyzing and learning from incidents. When an incident occurs, you shouldn’t think of it as a setback, but as an opportunity to grow. Good incident analysis involves building an incident retrospective. This document will contain everything from incident metrics to the narrative of those involved. These metrics aren’t the whole story, but they can help teams make data-driven decisions. But choosing which metrics are best to analyze can be difficult.