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Key Application Metrics and Monitoring for Developers

In the past, code and infrastructure were handled by completely separate organizations. Developers wrote code, while IT set up servers. Developers fixed bugs, while IT handled infrastructure maintenance. However, with the trend towards DevOps and the increased availability of Platform-as-a-Service (PaaS), there is an increasing overlap between Dev and IT. For developers, this can mean taking care of infrastructure, a task that is quite different from standard app dev.

As a full-stack developer, I've been pushed to handle more and more infrastructure-related responsibilities, including monitoring production applications. We just went live for HP Foundation at https://www.life-global.org with our Next.js-based learning management system. As a dev team lead, I have been researching how to best support and maintain the application through metrics.

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9 Product Flavors That Fit the Security Needs of the Entire Software Lifecycle

Security needs to be adopted at every stage of the SDLC

Speed to market has been everything in the software development world. But, over time, we’ve discovered that speed alone cannot be the end all be all. The majority of data breaches have to do with web application security vulnerabilities; and therefore, security must become part of the software development equation.

The problem is that most organizations approach security at the end of the software development lifecycle, when it’s often too late or too complicated to fix vulnerabilities. To be effective, security must be integrated throughout each stage of the entire software development lifecycle.

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How to Implement Data DevOps

In this article, I continue my discussion with Derek Hutson, President and CEO at Datical following our initial conversation about, “Why do we need Data DevOps?” In this segment, I wanted to get his thoughts on implementing Data DevOps.

What should clients consider when beginning Data DevOps Initiatives?