Graphs and Sensors: The Internet of Connected Things
Explore how graph databases enhance IoT data analysis, enabling real-time insights and better decision-making in industries like oil and gas and transportation.
State is Hard: An SDK for Building Stateful Applications
Learn to build robust stateful applications using the DC/OS SDK, simplifying development on Apache Mesos and DC/OS platforms while standardizing service interactions and handling common challenges.
Using External Persistent Volumes for High Availability on DC/OS
Explore strategies for reducing recovery times and achieving high availability in DC/OS using external persistent volumes, focusing on distributed applications like Cassandra and HDFS.
Real-Time Event Processing and Handling Stateful Applications on Apache Mesos
Explore real-time event processing and stateful applications on Apache Mesos, focusing on industrial use cases, PaaS journey, and stream processing platforms. Learn from GE Digital's experience in handling complex workloads.
Apache Mesos for Hybrid Cloud Management
Learn how Apache Mesos enables flexible, scalable hybrid cloud setups for modern applications across on-premise, private, and public environments, addressing business continuity and disaster recovery challenges.
SMACK in the Enterprise - Keynote Panel Discussion
Panel discussion exploring SMACK (Spark, Mesos, Akka, Cassandra, Kafka) implementation in enterprise environments, featuring insights from industry experts at Audi, Deutsche Telekom, and ASML.
Dynamic Data and Infinite Possibilities - Exploring Streaming Data in Generative AI
Explore streaming data's role in generative AI, covering applications, model training, and challenges. Learn about real-time data's impact on AI systems' adaptability and contextual relevance.
Optimizing Speed and Scale of Real-Time Analytics Using Apache Pulsar and Apache Pinot
Explore Apache Pulsar and Apache Pinot's synergy for high-speed, scalable real-time analytics in Cloud Native environments. Learn how these powerful tools enable efficient event streaming and ad-hoc data analysis.
HDFS CSI Plugin: Speeding Up Kubernetes in On-Premises Big Data Clusters
Explore HDFS CSI plugin design for Kubernetes in on-premises big data clusters, including architecture, best practices, and performance analysis using Spark and TPC-DS benchmarks.
Network Flow Monitoring in Kubernetes with Contiv/VPP CNI and Elastic Stack
Explore powerful network flow monitoring in Kubernetes using Contiv/VPP CNI and Elastic Stack for real-time visibility, debugging, bottleneck identification, and security incident investigation.
Cool Genes - Using Genomics and Big Data for Disease Research with Docker
Explore genomics and big data in medical research using Docker. Learn how TGen leverages containerization for bioinformatics workloads, managing large-scale compute clusters to accelerate disease understanding and treatment discovery.
Optimizing Speed and Scale of Real-Time Analytics Using Apache Pulsar and Apache Pinot
Explore real-time analytics optimization using Apache Pulsar for event streaming and Apache Pinot for low-latency OLAP, enabling scalable, high-performance data processing and ad-hoc querying.
Scala and Spark in the New Deep Learning Era
Explore integrating large language models into big data infrastructures using Apache Spark, Scala, and BigDL. Learn distributed fine-tuning for pre-trained models and their representation as Spark estimators.
Real-Time Argo Rollouts Analytics Powered by Notification Engine
Discover how Intuit leverages notification engine for real-time Argo Rollouts analytics, enabling efficient management of applications across clusters and rapid identification of issues at scale.
Cache Me If You Can: How Grafana Labs Scaled Up Their Memcached 42x and Improved Reliability
Discover how Grafana Labs scaled their memcached 42x, improving reliability and cost-effectiveness for large-scale data querying using cloud-based local SSDs and innovative caching strategies.
Breaking Barriers - Unleashing Human Potential in the Age of AI
Explore the complex relationship between humans and AI, examining how technology challenges our essence and reshapes society. Learn to embrace innovation and adapt to the evolving digital landscape.
Optimizing Kafka Consumers with Kubernetes and KEDA - Lessons from the Trenches
Discover how to enhance Kafka consumer scalability using Kubernetes and KEDA, achieving over 75% efficiency while maintaining data freshness SLA. Learn about custom metrics, dynamic vertical scaling, and holistic optimization approaches.
Improve Monitoring and Observability for Kubernetes with Open Source Tools
Explore open-source tools for enhancing Kubernetes monitoring and observability, including log aggregation with Elasticsearch, metrics with Prometheus and Grafana, and exception handling with Sentry.
ADVANCED Python AI Agent Tutorial - Using RAG
Learn to create an AI agent with RAG capabilities, utilizing various tools for task-specific actions. Explore data querying, agent building, and unstructured data handling in Python.
GraphLab - Machine Learning for Big Data in the Cloud
Explore GraphLab, a framework for efficient parallel machine learning algorithms handling Big Data. Learn about its advantages over existing tools and its impact on large-scale tasks.
Network Configurations for High-Performance Streaming Connectivity in Kubernetes
Optimize Kubernetes networking for high-performance streaming. Explore network setups, Container Network Interface, and proxy solutions to enhance data connectivity and reduce latency in K8s environments.