Puneet Gupta
Palo Alto Networks | Platform Engineer
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Puneet is a software engineer and platform engineer who spearheads the development of core components for Palo Alto Networks' observability platform. Leveraging his extensive experience, he has previously held key roles at LSEG and Arbunize, where he implemented infrastructure and led an AI developer team. Possessing robust technical prowess and leadership abilities, Puneet thrives on tackling challenges to maximize his impact in the dynamic field of platform engineering.
Unveiling Observability Operator for Cardinality insights and GitOps
Meet the Garuda Observability platform's Kubernetes operator—an advanced solution designed to address common challenges in open-source observability. Immerse yourself in unparalleled visibility, effortlessly managing cardinality, and optimizing unused metrics. Experience automated metric optimization and on-demand reactivation. With seamless GitOps integration, our platform streamlines dashboard management for a smooth onboarding process. Elevate your observability game with Garuda—a new era in operational efficiency.
In addition, our presentation highlights a log watch mechanism, providing comprehensive insights into log cardinality and the identification of unique patterns. Explore how comparing patterns between two-time frames facilitates anomaly detection and outlier identification within the log data. Witness a new level of observability with Garuda's innovative log analytics capabilities.
Streamify: Elevating Kubernetes Production Management through Gen AI-Powered Event Analysis
Troubleshooting in a large-scale Kubernetes deployment is a formidable task amidst a sea of logs, alerts etc. Picture a scenario filled with upgrades, audits, cloud outages, out-of-band access events, observability alerts, etc. and when RabbitMQ falters, gaining visibility into the changes, deployment timelines, alert triggers, and out-of-band access details becomes a complex puzzle.
Enter Streamify, your dynamic companion in real-time data exploration. With seamless integration and data processing from Kubernetes and beyond, Streamify offers a profound understanding by translating data from diverse sources into actionable insights. It delivers a visual timeline of events and employs Gen AI-based conversational debugging with context correlation. Equipped with recommendations sourced from Confluence, Jira, doc, etc. Streamify is your ally for effortlessly navigating intricate environments and promptly resolving production incidents.
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