
Explore Armada: a system for massive-scale batch job execution on Kubernetes, enabling efficient utilization of GPUs and CPUs for advanced data science and machine learning in financial markets.

Explore challenges and solutions for batch workloads in Kubernetes, discussing core support, missing functionalities, and future directions with industry experts.

Explore K3s for edge computing in smart metering, leveraging CNCF projects like Prometheus and Helm to aggregate IoT data on-site before cloud transmission in industrial settings.

Explore real-time anomaly detection in Kubernetes using streaming ML and DAG-based processing. Learn how Intuit reduces outage response time with AIOps and integrates observability into Argo CD.

Explore NATS, an open-source messaging system for simplified, globally scalable communication. Learn about its features, patterns, and applications in building adaptive, multi-cloud systems.

Explore Intuit's scalable batch processing platform using Kubernetes and Argo for efficient data pipeline management, addressing scheduling, orchestration, and dependency challenges in AI and data engineering.

Comprehensive introduction and deep dive into Prometheus, covering its role in cloud-native metrics monitoring, recent developments, and addressing audience questions.

Explore the evolution of vulnerabilities in popular container images, understand security challenges, and learn practical steps to manage and prevent issues in your development process.

Explore Prometheus for monitoring ML deployments, addressing data drift, concept drift, and model metrics. Learn to enhance existing setups and integrate with Flyte, Seldon Core, or FastAPI.

Explore the journey of Prometheus, from its inception to widespread adoption, and discover how this open-source monitoring system revolutionized the tech industry.

Explore eBPF-based monitoring for service meshes, comparing it to sidecar approaches. Learn about eBPF technology, its advantages, and how it can coexist with Envoy metrics for meaningful Grafana dashboards.

Explore Kubernetes' new structured logging system, enhancing monitoring with machine-readable, contextual logs. Learn about klog improvements and their impact on the Kubernetes ecosystem.

Discover how to enhance a home elevator with music, announcements, and performance tracking using open-source projects like NATS, Grafana, Prometheus, and AlertManager.

Explore connectors in OpenTelemetry Collector for advanced data flow control. Learn to link pipelines, replicate data, and implement multi-signal logic for sophisticated observability signal processing.

Comprehensive guide to implementing OpenTelemetry on Kubernetes for end-to-end observability. Learn instrumentation, data collection, and deployment strategies for traces, metrics, and logs.

Learn about Kueue, a cloud-native job scheduler for Kubernetes that optimizes resource allocation, implements fair sharing, and enhances batch processing efficiency in multi-team environments.

Explore Kubernetes batch processing challenges and solutions, including custom scheduling for large-scale operations, Gang Scheduling, DRF, and workload colocation for improved resource utilization.

Explore SLA-aware batch scheduling and multi-tenant preemption in Apache YuniKorn for Kubernetes, addressing challenges in resource-intensive data engineering and improving workload management.

Explore ING's journey in creating a banking-grade observability platform using open-source technologies. Learn about implementing Prometheus, Envoy, Mimir, and Grafana for secure and scalable monitoring solutions.

Exploring delta temporality in OpenTelemetry: advantages, pitfalls, and use cases compared to cumulative temporality. Analysis of temporality types in metrics data models and their applications.

Explore how AI and observability enhance e-government IT operations, using open-source tools for telemetry data analysis and deep learning to improve service delivery and efficiency.