Hybrid MLOps with HashiCorp Nomad
The MLOps paradigm is helpful for organizations hoping to reduce data scientist turnover. It automates infrastructure support and CI/CD.
Kong Applies Machine Learning to Microservice ManagementThenewstack
Refactoring Is Not Bad, Until It IsThenewstack
Accessibility as an Essential Part of the Inclusive Developer ExperienceThenewstack
AIOps, Blockchain and Other BuzzwordsThenewstack
Run Stateful Containerized Workloads with Rancher Kubernetes Engine and PortworxThenewstack
FireHydrant: Managing Incidents Without the ChaosThenewstack
Cost-Based Hybrid Query Optimization in MotherDuck - MotherDuck Research PapersMotherduck
Conductor: Why We Migrated from Kubernetes to NomadThenewstack
Kubernetes-Run Analytics at the Edge: Postgres, Kafka, DebeziumThenewstack
Aqua and HashiCorp Enable Cloud Native Security, Zero-Trust ApproachesAquasec
How IKEA Retail Standardizes Docker Images for Efficient Machine Learning Model DeploymentDocker
Introducing Kthena: LLM inference for the cloud native eraCncf
Run Secure Applications on OpenShift with IBM Power SystemsAquasec
Just Released: Hybrid Query Processing Paper at CIDR 2024Motherduck
K3s on On-Prem Infrastructures the GitOps Way: Writing a Custom k0rdent Template from ScratchCncf
AI Agents SummitMotherduck
Kanban vs ScrumNotion So
Talha Tariq joins Vercel as CTO of SecurityVercel
Hybrid Analytics: Query Local & Cloud Data InstantlyMotherduck
Cloud Native Computing Foundation Announces Karmada GraduationCncf
