Cloud-Native Development

Why Docker Matters for Data Science
Docker containers make data science projects portable and reliable, eliminating version conflicts and missing libraries and making it easy for teams to share and run data science projects in the exact same ...

Building Cloud-Native Agentic Systems With Dapr Agents
Learn how Dapr agents enable building secure, scalable, cloud-native AI systems with seamless Kubernetes integration, fault recovery, and agentic workflows ...
Siri Varma Vegiraju | | agentic AI, AI automation, AI frameworks, AI orchestration, API integration, cloud computing, cloud-native applications, containerized deployment, Dapr, Dapr actors, Dapr Agents, Dapr workflows, devops, distributed application runtime, distributed systems, event-driven architecture, fault tolerance, Kubernetes integration, microservices, multi-agent systems, OpenAIChatClient, Python agents, RBAC, RoundRobinOrchestrator, scalable infrastructure

Building FinOps With k0rdent Open Source
Learn how open-source k0rdent and KOF enable platform teams to build custom FinOps solutions with predictive cost forecasting and real-time savings insights ...
Satyam Bhardwaj | | AI-driven FinOps, cloud cost optimization, cloud financial management, cloud utilization optimization, cloud-native FinOps framework, cluster cost reduction, FinOps Agent, FinOps pipeline, Grafana dashboards, idle resource detection, k0rdent, k0rdent MultiClusterService, KOF, Kubernetes automation, Kubernetes cost visibility, Kubernetes FinOps, Kubernetes monitoring, Kubernetes observability, Kubernetes scalability, multi-cluster Kubernetes management, open-source FinOps tools, OpenTelemetry, predictive cost forecasting, Prometheus metrics, time series forecasting, TOTO model

Enabling Efficient AI Workloads in Cloud-Native Development using Docker Offload
Docker Offload brings cloud scalability to local development, enabling AI and ML workloads to run on GPU-powered cloud infrastructure seamlessly ...
Naga Santhosh Reddy Vootukuri | | AI Workloads, cloud compute, cloud infrastructure, cloud native AI, cloud offloading, cloud-native development, container builds, container orchestration, developer productivity, DevOps tools, Docker GPU, Docker Offload, GPU acceleration, hybrid workflows, local development, managed service, ML workloads, secure containers, SSH tunnel, VDI environments, virtualization

How AI and Python Can Transform Docker Security and Vulnerability Management
Automate Docker container security with Python. Use Trivy, Clair, and Dockle for CI/CD vulnerability scans and AI-based threat detection in DevSecOps ...
Advait Patel | | AI threat detection, AI-based anomaly detection, automated security scanning, CI/CD security, Clair, container security, containerized application security, DevSecOps automation, Docker image vulnerabilities, docker security, Docker threat detection, Dockle, machine learning in DevSecOps, Python Docker SDK, Python for cybersecurity, Python vulnerability scanner, real-time security monitoring, security in CI/CD pipelines, Trivy, Vulnerability Management

DevOps in the Cloud-Native Era: The Blueprint for Blazing-Fast Software Delivery
Cloud-native and DevOps are now non-negotiable for scaling software delivery. Learn how CI/CD, IaC, GitOps, observability, and AI shape modern DevOps success ...

What Kubernetes Means for NetOps and CloudOps Teams
Kubernetes at 10 powers most enterprises, but its complexity creates blind spots in networking, security, and troubleshooting. Here’s how IT teams can adapt ...

Akuity Applies AI to Both Management of ArgoCD and Kubernetes Clusters
Akuity has infused AI into its ArgoCD platform to help IT teams detect degraded states, triage incidents, and automate fixes across Kubernetes clusters, enabling scalable GitOps-driven operations with greater efficiency and resilience ...

LLMs & Kubernetes Configuration: Automating Hardening, Drift Detection and Policy Enforcement
Kubernetes misconfigurations remain the top security risk. AI copilots promise automated hardening, drift detection, and policy enforcement to make clusters safer ...
Alan Shimel | | admission controllers, AI copilots, AI in Kubernetes, cloud native security, cncf, drift detection, GitOps, KubeGuard, kubernetes, Kubernetes governance, kubernetes hardening, Kubernetes misconfiguration, Kubernetes security, Kyverno, large language models, LLMs, OPA, OpenTelemetry, platform engineering, RBAC, YAML Jenga

Bridging Observability & Security in Kubernetes: Beyond Just Metrics
Kubernetes has expanded agility but also the attack surface. Alan argues that observability and security can no longer live in silos — metrics, logs, and traces already hold critical security signals, while ...
Alan Shimel | | anomaly detection, C2 traffic, cloud native security, convergence, cross-training, crypto-mining, devops, kubernetes, lateral movement, logs, metrics, observability, observability-driven security, OpenTelemetry, organizational silos, platform engineering, runtime security, security, SRE, tool sprawl, traces