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.
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.
Secure IoT Command, Control, and Exfiltration with Apache MiNiFi
Explore Apache MiNiFi for secure IoT data collection, prioritization, and analysis at the edge. Learn about encryption, governance, and centralized control using Apache NiFi for enhanced IoT security.
Online Feature Extraction and Event Generation for Computer-Animal Interaction
Architecture for analyzing animal interactions using Docker swarm, featuring online multimedia processing, event generation, and visualization through a web interface for biologists.
Modernizing .NET Apps for Developers - Part 4: Adding Self-Service Analytics
Enhance your .NET app with self-service analytics using Elasticsearch in Docker containers. Learn zero-downtime deployment and feature addition in this hands-on tutorial.
Preparing for Constant Change With Quantum Agility
Explore quantum computing's impact on encryption, new quantum-resistant standards, and strategies for rapid adaptation of cryptographic tools without major infrastructure changes.
Optimizing Full-Stack Sustainability in a Real World Data Center - Practices and Lessons Learned
Explore practices for optimizing sustainability across heterogeneous computing systems. Learn about real-time data analysis, AI-driven failure prediction, and smart job scheduling to maximize efficiency and minimize power consumption.
Graviton2 Arm vs Intel x86 Performance Comparison for Streaming Data Applications
Explore Graviton2 Arm vs Intel x86 performance for streaming data applications. Learn benchmarking methods, hardware selection insights, and comparative results for data-intensive workloads.
The State of Modern Data Architectures
Explore modern data architectures enabling agile, scalable solutions for IoT streaming, real-time analysis, and machine learning with large, multi-structured datasets in cloud environments.
Create Your First eBPF Program to Monitor Your System Using Bumblebee
Learn to create and deploy an eBPF program using Bumblebee for system monitoring, enhancing your skills in low-level programming and performance analysis.
Streaming and Learning Algorithms - Session 7C
Explore cutting-edge streaming and learning algorithms in this IEEE session, focusing on recent advancements and applications in data processing and machine learning.
Transforming Data Processing with Kubernetes - Journey Towards a Self-Serve Data Mesh
Explore Intuit's use of Kubernetes with Data Mesh principles to transform data processing, enabling efficient management of 100,000+ pipelines and fostering a collaborative data culture for improved decision-making.
Training Foundation Model Workloads on Kubernetes at Scale with MCAD
Explore how IBM's Vela supercomputer uses MCAD to queue custom resources for large-scale AI training on Kubernetes, enabling flexible frameworks and fault tolerance across hundreds of GPUs.
Migrating Hybrid Big Data Platforms at Scale to Kubernetes
Explore challenges and solutions for migrating legacy big data workloads to Kubernetes, focusing on resource management, multi-tenancy, and enterprise-ready solutions for effective data insights.
Adventures in Data - Leaning on Kubernetes Storage to Run Real-Time Analytic Databases
Explore practical strategies for leveraging Kubernetes storage features to build scalable, flexible data platforms. Learn about compute/storage separation, storage optimization, and custom solutions for managing analytic databases.
Enhancing Observability in Cloud-Based Educational Linux Lab Environment
Explore eBPF-based solutions for enhancing observability in cloud-based Linux lab environments, focusing on real-time resource monitoring and user behavior insights with minimal performance impact.
How We Built a Highly Scalable Machine Learning Platform Using Apache Mesos
Explore building a scalable machine learning platform using Apache Mesos, combining microservices with big data technologies for efficient machine translation and data processing.
Apache Flink Meets Apache Mesos and DC/OS
Learn how Apache Flink integrates with Apache Mesos and DC/OS for distributed real-time data processing. Explore challenges, architecture modeling, and packaging for seamless deployment on datacenter-scale systems.
Using External Persistent Volumes for High Availability on DC/OS - Reducing Recovery Times
Learn to reduce recovery times and achieve high availability for distributed applications on DC/OS using external persistent volumes, with practical examples and demonstrations.
How I Stopped Worrying and Learned to Love Open Source - Developing a Commercial Application Server
Explore the journey of developing a commercial application server using open-source technologies like Tomcat and Spring. Learn about design decisions, challenges, and successes in modernizing enterprise software.
Building a Big Data Collection and Processing System
Explore building a system for collecting, storing, and processing massive amounts of data using Apache Mesos and Hadoop, with a focus on video surveillance applications.