Remove Infrastructure Remove Monitoring Remove Software Engineering Remove Technical Review
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Using Generative AI to Drive Corporate Impact

TechEmpower - Project Management

Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact. In the sphere of software engineering , AI is pivotal for corporate IT by automating coding, optimizing algorithms, and enhancing security to boost efficiency and minimize downtime.

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The Pillar of Steady Operations: Site Reliability Engineer

Wrike

In today’s fast-paced technological landscape, maintaining a stable and reliable system infrastructure is paramount to business success. Enter the Site Reliability Engineer (SRE), the unsung hero of the digital age. Unlike traditional system administrators, SREs bring a software engineering perspective to the table.

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How to Ensure Your Cloud Migration Effort is Aligned with the Rest of Your Business

Leading Agile

About three or four years ago, we went down the path, Matt Van Vleet from previous and from Pillar Technology and from Accenture joined us and we started a studio. You need to start having the software engineers that can code the data scientists that can analyze. You’re not just a strategy firm.

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How to Ensure Your Cloud Migration Effort is Aligned with the Rest of Your Business

Leading Agile

About three or four years ago, we went down the path, Matt Van Vleet from previous and from Pillar Technology and from Accenture joined us and we started a studio. You need to start having the software engineers that can code the data scientists that can analyze. You’re not just a strategy firm.

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What’s Worse Than Not Automating Your Software Delivery Pipeline?

Leading Agile

An unattended software delivery pipeline frees technical staff to spend more time on value-add activities rather than tediously performing repetitive tasks by hand, such as. Reviewing code by eyeballing it to ensure compliance with coding standards. Monitoring production systems to detect common and predictable problems.

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Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.

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Defensive Programming Grows Up

Leading Agile

Cloud infrastructures make it seem as if an application is long-lived, while in reality servers are being destroyed and re-created under the covers all the time. The growing area of artificial intelligence also has implications for software testing , both for testing AI solutions and for using AI tools to support testing.