platform engineering
Hybrid Cloud at Enterprise Scale: Private Kubernetes for Portability and Control
Private Kubernetes is the missing abstraction layer for enterprise hybrid cloud. Learn how a private Kubernetes platform enables portability, security, governance, and freedom from vendor lock-in across on-prem, private cloud, and public ...
Shravani Gunturu | | AKS, cloud abstraction layer, cloud portability, EKS, enterprise cloud strategy, enterprise Kubernetes, GitOps, GKE, hybrid cloud, hybrid cloud architecture, Kubernetes governance, Kubernetes platform, Kubernetes security, multicloud strategy, Openshift, openstack, platform engineering, private cloud Kubernetes, private Kubernetes, vendor lock-in
The Rise of Context-Aware Platforms in Cloud-Native Engineering
Context-aware platforms are reshaping cloud-native engineering by unifying metadata, governance and delivery signals to boost developer flow and operational intelligence ...
CNCF Chief: AI Inference Will Drive Increased Cloud Native Software Consumption
AI inference models are set to drive significant cloud-native software consumption, according to CNCF's executive director. With more AI models on Kubernetes, there's a shift towards backend services without graphical interfaces. While ...
Best of 2025: Why Kubernetes 1.33 Is a Turning Point for MLOps — and Platform Engineering
There comes a point in every engineer’s experience when a platform matures to the point of being truly ready for production use. With Kubernetes v1.33, that point has arrived for artificial intelligence ...
From Chaos to Control: Managing Kubernetes Add-Ons at Scale
Learn how to manage Kubernetes add-ons at scale with better visibility, drift detection and automation to improve reliability and performance ...
Survey Surfaces Myriad Kubernetes Networking Challenges
New survey data shows Kubernetes networking complexity rising, with teams struggling across observability, egress, multi-cluster security, and tool sprawl—highlighting the growing need for platform engineering and unified networking approaches ...
Mike Vizard | | cloud-native networking, container networking, debugging, devops, eBPF, egress control, Kubernetes clusters, Kubernetes networking, Kubernetes security, load balancing, microservices, multi-cluster networking, network management complexity, network transparency., observability, platform engineering, SRE
pgEdge Adds Ability to Distribute Postgres Across Multiple Kubernetes Clusters
pgEdge has released a new Kubernetes-ready distribution of its open-source Postgres database, enabling deployments across multiple clusters for low latency, high availability, and horizontal scalability. Supporting Postgres versions 16–18, pgEdge Containers simplify ...
AI Agents Power Cloud-Native Transformation
AI agents are redefining cloud-native development by embedding intelligence into DevOps workflows — optimizing pipelines, automating debugging, and accelerating release cycles. Experts like Promevo CTO John Pettit explain how these autonomous systems ...
Nathan Eddy | | AI agents, AI code reviewer, AI in DevOps, AI in software engineering, AI observability, AI-powered debugging, autonomous systems, CI/CD optimization, cloud infrastructure management, cloud-native transformation, DevOps automation, intelligent automation, platform engineering, shift left security, software delivery lifecycle (SDLC)
The Future of Cloud-Native DevOps, DataOps, FinOps and Beyond
Explore how cloud-native DevOps, DataOps, and FinOps are shaping the future of scalable, automated, and intelligent cloud application development ...
Joydip Kanjilal | | agile cloud development, AI and ML in DevOps, AIOps, automation in cloud, CI/CD pipelines, cloud computing trends, cloud-native applications, cloud-native DataOps, cloud-native DevOps, cloud-native FinOps, cloud-native software delivery, cloud-native strategy, cloud-native transformation, containerization, DevSecOps, edge computing, enterprise cloud optimization, future of DevOps, GitOps, infrastructure as code, intelligent cloud platforms, kubernetes, microservices architecture, platform engineering, scalable cloud apps, serverless computing
Machine Learning in Kubernetes: Why Trust, Not Tech, is Your Biggest Hurdle
Explore why trust—not technology—is the real barrier to ML-driven Kubernetes optimization and how intelligent automation builds confidence at scale ...
Yasmin Rajabi | | AI in DevOps, AI in infrastructure management, AI-driven automation, automated cloud governance, cloud cost optimization, cloud efficiency, container optimization, continuous optimization, developer trust, devops, FinOps, intelligent automation, KubeCon 2025, Kubernetes optimization, Kubernetes performance, Kubernetes resource management, Kubernetes trust gap, machine learning in Kubernetes, ML in cloud infrastructure, ML-based cost control, ML-powered rightsizing, platform engineering, platform reliability, predictive scaling

