Contributed Content
Docker Hub vs. Private Registries: Security Tradeoffs
In the race to accelerate software delivery, Docker Hub has become a default starting point for developers and organizations alike. It offers convenience, accessibility, and a vast ecosystem of pre-built images that ...
How Base Images Impact Software Supply Chain Security in Kubernetes
As organizations scale their Kubernetes environments, the software supply chain becomes increasingly complex, interconnected, and vulnerable. One of the most overlooked yet foundational components of this supply chain is the base image ...
The Hidden Cost of “Just Works” Load Balancing in a Service Mesh
If you’re running a multi-AZ Kubernetes cluster with a service mesh on top, there’s a good chance you’re paying a tax you never signed up for, and it won’t show up as ...
How We Cut Kubernetes Deployment Validation From 45 Minutes to 2 minutes
There is a moment every release engineer knows well. The CI/CD pipeline turns green. The deployment job reports success. Everyone exhales for a second and thinks, “Okay, the release is done.” But ...
Kubernetes Wasn’t Built for GPUs. Make It Behave
Kubernetes counts whole GPUs and treats pods as disposable. An LLM pod is neither. Share the silicon with MIG/MPS/time-slicing and stop paying for idle ...
Sneha Gullapalli | | A100, AI infrastructure, AI Workloads, cloud native AI, Dynamic Resource Allocation, GPU autoscaling, GPU cost reduction, GPU optimization, GPU partitioning, GPU sharing, GPU time-slicing, GPU utilization, H100, Karpenter, KServe, Kubernetes DRA, Kubernetes GPU scheduling, LLM Inference, model caching, multi-instance GPU, NVIDIA GPU Operator, NVIDIA MIG, NVIDIA MPS, scale-to-zero, VRAM
How Open-Source Automation Tools Handle the Testing Problem That Cloud-Native Independent Deployment Creates
Independent deployment creates a coverage currency problem manual maintenance cannot scale to address. Learn how open-source automation tools handle it structurally. ...
Sancharini Panda | | API mocking, behavioral drift, CI/CD testing, Cloud-Native Testing, contract testing, coverage currency, eBPF, go-vcr, independent deployment, integration test fixtures, integration testing, Keploy, Kubernetes testing, Microcks, microservices testing, open-source automation tools, Pact, platform engineering, record and replay testing, service dependencies, test automation, Testcontainers, VCR, VCR.py, WireMock
Stop Treating GPUs Like Web Pods
Kubernetes schedules accelerators as opaque integers, and your bill pays for it. Share the silicon, scale on the right signal and keep weights out of the image ...
Veera Ravindra Divi | | AI infrastructure, AI serving, autoscaling, cloud costs, cloud native AI, DCGM exporter, DRA, Dynamic Resource Allocation, GPU costs, GPU scheduling, GPU sharing, GPU utilization, GPUs, inference workloads, KEDA, kubernetes, Kubernetes GPU scheduling, LLM Inference, MIG, model weights, MPS, NVIDIA GPUs, NVIDIA MIG, Prometheus, scale-to-zero, time-slicing
The Telemetry Debt Crisis: Why Cloud-Native Teams are Optimizing the Wrong Metric
Telemetry debt is overwhelming engineering teams with noisy alerts, unused dashboards and rising observability costs. Here’s how to identify, reduce and prevent it ...
David Iyanu Jonathan | | adaptive sampling, AI observability, alert fatigue, dashboard sprawl, eBPF observability, FinOps, incident response, log management, metric cardinality, MTTR, observability as code, observability costs, observability maturity, observability strategy, OpenTelemetry, platform engineering, telemetry governance, telemetry ROI, trace data
A Green Kubernetes Deployment Does Not Mean a Healthy Application
The deployment finishes, kubectl rollout status reports success, and every pod shows Running and Ready. For most teams, that is the moment the release is considered done. Then a customer transaction fails ...
Container Runtime Security in Kubernetes: What Teams Overlook
Kubernetes security conversations tend to center on the things that happen on the left-hand side of the process. Scanning images, hardening Dockerfiles, and working with registry access controls all tend to frontload ...

