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.
Back to the Future: Containerize Legacy Applications
Modernize traditional apps with Docker: gain agility, portability, security, and cost savings. Learn approaches, considerations, tools, and possibilities for containerizing legacy monolithic applications.
Spreading Apps, Controlling Traffic and Managing Costs in Kubernetes
Explore strategies for high availability, traffic management, and cost optimization in Kubernetes. Learn about pod anti-affinity, locality-aware load balancing, and workload consolidation for efficient cluster scaling.
Introducing OpenCost - Container Cost Monitoring and Management
Explore OpenCost, an open-source tool for Kubernetes cost monitoring. Learn about its core tenants, features, and real-world applications through a demo and lessons learned.
Kubernetes on a Budget: How to Get Pay-per-Use Right
Discover cost-effective strategies for scaling Kubernetes applications, focusing on Intuit's API Gateway transformation. Learn tools and techniques to optimize cloud expenses while improving resiliency and adopting modern technology stacks.
Kubernetes Cost Control: Tales of Overspending and Redemption
Discover strategies for controlling Kubernetes cloud costs, including visibility, right-sizing, discounts, and avoiding common pitfalls. Learn best practices and open-source tools for optimizing your cloud spend.
Open Source Project Goldilocks - Right-Sizing Kubernetes Across Multiple Clusters and Teams
Optimize Kubernetes resource allocation across clusters and teams with the open-source Goldilocks project for improved efficiency and cost-effectiveness.
Cost Visibility for Infrastructure as Code
Discover how Infracost API integrates with Terraform to provide accurate cost estimates for cloud infrastructure, enabling teams to optimize expenses and prevent costly mistakes.
How Houghton Mifflin Harcourt Accelerated Infrastructure Delivery with Apache Mesos and Aurora
Discover how Houghton Mifflin Harcourt revolutionized their infrastructure delivery, reducing time from months to minutes using Apache Mesos and Aurora, while cutting costs and empowering engineers to innovate in education technology.
How Yelp Runs on Apache Mesos in AWS Spot Fleet - Balancing Cost Savings and Operational Risk
Discover how Yelp leverages AWS Spot Fleet and Apache Mesos to optimize infrastructure costs while maintaining reliability. Learn about configuration tweaks, autoscalers, and best practices for balancing savings with operational stability.
Cost-Effective Scheduling of Massive Containers in Kubernetes
Explore JD.com's innovative Kubernetes scheduling system, Archimedes, designed to optimize resource utilization and cost efficiency for massive-scale container deployments in e-commerce and big data.
The Future is Fine-Tuned - Deploying Task-Specific LLMs
Explore deploying task-specific AI models using fine-tuned LLMs. Learn motivations, technical details, and cost-effective deployment strategies for specialized AI solutions in organizations.
How Thanos Almost Snapped $100,000 from Our Infrastructure Budget
Explore how misconfigurations in Thanos and Fluentbit for observability data management nearly led to a $100,000 infrastructure budget overrun, and learn from these costly mistakes.
Slash On-Premise Costs with Cluster API and MAAS for Bare Metal Kubernetes
Optimize on-premises infrastructure costs using Cluster API and MAAS for bare metal Kubernetes deployments, enhancing efficiency and scalability in cloud-native environments.
Troubleshooting Hidden Performance and Costs in Network Traffic Across Multiple AZs with eBPF
Uncover hidden performance bottlenecks and cost implications in cross-AZ network traffic using eBPF. Learn to optimize Kubernetes clusters for improved resilience and efficiency.
How to Save Millions Over Years Using KEDA
Explore KEDA for Kubernetes event-driven autoscaling, optimizing resource utilization. Learn implementation, challenges, and cost-saving potential through a real-world use case and live demo.
Three's a Crowd - Achieving 2-Node High Availability at the Edge
Discover a cost-effective 2-node high availability architecture for Kubernetes at the edge, offering resilience and 33% savings compared to traditional 3-node setups. Learn from real-world examples and explore open-source solutions.
The Sins of High Cardinality in Observability Metrics Collection
Strategies to manage high cardinality in observability metrics, balancing granularity with resource constraints. Explores Prometheus examples to optimize data collection and query performance.
99.99% of Your Traces Are Probably Trash - Managing Distributed Tracing Data
Explore distributed tracing challenges, focusing on data volume management through sampling techniques. Learn about OpenTelemetry configurations and their impact on cost and value of tracing data.
Scaling EDA Workloads with Kubernetes, KEDA and Karpenter - Handling Event-Driven Traffic
Explore efficient event-driven workload scaling using Kubernetes, KEDA, and Karpenter. Learn to handle traffic spikes and optimize costs for real-time processing in high-demand scenarios.
Seamless Multi-Cloud Kubernetes - A Practical Guide
Explore practical approaches for running Kubernetes clusters across multiple regions and clouds, covering cluster creation, management, networking, and GitOps principles for effective control plane management.