Prometheus Native Histograms in Production
Explore real-world results of Prometheus native histograms, including performance, resolution, and data collection aspects. Gain insights on adoption and OpenTelemetry interoperability.
Using OpenTelemetry's Exponential Histograms in Prometheus
Explore high-resolution histograms in OpenTelemetry and Prometheus, their capabilities, design, and implementation for improved metrics monitoring and telemetry data management.
Ingesting 6.5 TB of Telemetry Data Daily Through Open Telemetry Protocol and Collectors
Learn how VTEX implemented Open Telemetry to handle 6.5TB of daily telemetry data, modernizing their observability stack while reducing costs and improving efficiency.
Colocating Hadoop YARN with Kubernetes to Save Costs on Big Data
Learn how to optimize resource utilization by colocating Hadoop YARN with Kubernetes, addressing challenges and implementing solutions to save costs on big data infrastructure while maintaining service quality.
Understand Systems with OpenTelemetry - A Hybrid Telemetry Data Backend
Explore OpenTelemetry's role in cloud-native observability, focusing on efficient storage and analysis of telemetry data for large-scale systems. Learn about HUAWEI CLOUD's challenges and solutions.
Effortless Open Source Observability with Cilium, Prometheus and Grafana
Discover how Cilium leverages eBPF to provide seamless observability for applications using Prometheus metrics, without code modifications. Learn to monitor service connectivity and collect tracing data with open-source tools.
Observability with Fluent Bit: Logs, Metrics and Traces
Learn to implement scalable observability solutions using Fluent Bit for logs, metrics, and traces. Explore data collection, preprocessing, and centralization techniques for effective analysis.
OTel Me About Metrics - A Metrics 101 Crash Course
Comprehensive introduction to OpenTelemetry metrics, covering instruments, measurements, and their practical applications. Clarifies complex concepts with real-world examples for effective implementation.
Enabling HPC and ML Workloads with Latest Kubernetes Job Features
Explore new Kubernetes Job API features for distributed Batch/AI/HPC workloads, including Indexed Jobs and Pod Failure Policy, with real-world examples from DeepMind and Lawrence Livermore National Laboratory.
Intuit's Customer-Centric Observability Journey Using AIOps
Explore Intuit's journey in improving operational excellence using AIOps, focusing on real-time data analysis, anomaly detection, and incident response for enhanced customer-centric observability.
Building on-Premises MLOps for ISS Columbus Ground Operations
Explore the development of an on-premises MLOps platform for ISS Columbus operations, covering anomaly detection, root cause analysis, and automated deployment using GitLab, microk8s, and Kubeflow.
Volcano for FinTech Big Data on Kubernetes
Explore how Volcano enhances FinTech BigData operations on Kubernetes, optimizing resource management and workflow efficiency for financial technology applications.
Managing Artifacts at Scale for CI and Data Processing
Learn best practices for managing data artifacts in Argo Workflows, including configuring artifact repos, implementing garbage collection, and optimizing for CI and data processing use cases.
Efficient Scheduling of High Performance Batch Computing for Analytics Workloads with Volcano
Explore how ING uses Volcano scheduler for efficient, multi-tenant large-scale processing in advanced analytics, enabling dynamic allocation and resource fairness for over 300 internal projects.
Feathr - An Open Source, Battle-Tested, Scalable and Enterprise-Grade Feature Store
Explore Feathr: an open-source, battle-tested feature store for machine learning. Learn its design, philosophy, and enterprise-grade capabilities, including native feature transformation and cloud-native architecture.
Exploring Process Capabilities with eBPF - Monitoring and Security in Cloud Native Applications
Explore eBPF's capabilities for scaling, monitoring, and securing cloud-native apps. Learn to run ad hoc experiments using BumbleBee and expose kernel events as Prometheus metrics for enhanced security research.
Cost-Efficient Multi-Cluster Monitoring with Prometheus, Grafana and Linkerd
Learn to build a cost-efficient, decentralized monitoring solution for multi-cluster environments using Prometheus, Grafana, and Linkerd's service mirroring capability.
Availability and Storage Autoscaling of Stateful Workloads on Kubernetes
Explore strategies for running highly available, scalable Elasticsearch on Kubernetes. Learn about storage autoscaling, persistent disk management, and secure client connections using Envoy and Kubernetes ingress.
Prometheus Updates and Deep Dive
Explore Prometheus, the cloud-native metrics monitoring standard. Learn its basics, internal workings, recent features, and future developments. Discover usage opportunities and potential ways to contribute.
Adopting Network Policies in Highly Secure Environments
Learn to secure Kubernetes networks using Cilium Network Policies, focusing on application-aware and identity-based security. Explore strategies for different exposure types and leverage observability tools for effective policy management.
Kubernetes WG Batch: Recent Improvements and Future Roadmap
Explore recent improvements and future plans for batch workload support in Kubernetes, including Job API enhancements, Kueue developments, and hardware resource management advancements.