Welcome to the Parallaxis Blog
Explore our latest thoughts on all things related to AI, Machine Learning, and the importance of data .
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SRE Wasn't Invited to the AI Party
There is a significant disconnect between the push for AI adoption in leadership and its practical application within Site Reliability Engineering (SRE) and infrastructure teams. While developers benefit from AI tools like Copilot for code completion and testing, SRE teams, whose work involves declaring desired states, orchestrating systems, and troubleshooting unique infrastructure challenges, find current AI tools largely unhelpful.
AI could make a difference in SRE by acting as intelligent agents that correlate logs, analyze metrics, and identify patterns during incident response, thereby reducing Mean Time To Resolution (MTTR) and demonstrating tangible business value, rather than focusing on traditional code-centric productivity metrics.
Anti-Patterns in Data Mesh
This article explores common anti-patterns in implementing Data Mesh, a decentralized data architecture emphasizing domain-oriented data ownership. While Data Mesh aims to enhance data accessibility and usability across organizations, its success relies on understanding core principles: domain-driven data ownership, data products, and federated governance.
Transformative Data Pipelines for Analytics Using AWS Glue
Practical considerations for building analytics-ready data pipelines and data products using AWS Glue with Jupyter notebooks, Python, and Terraform.
MLOps Automation
MLOps requires specialized knowledge that traditional DevOps teams lack. The challenges related to data quality, consistency, and accessibility demand a different set of skills and tools.