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Switching to eBPF One Step at a Time with Calico DNS Inline Policy

Calico Enterprise 3.21rolls out eBPF-driven DNS policies toiptables, slicing latency without needing an eBPF overhaul. EnterDNS inline mode: it outpaces competing DNS policies, kills retransmits, and zips up connections.Nftables?Still lagging in eBPF chops, but xtables—which they’ve put out to pastu.. read more  

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Basically Everyone Should Be Avoiding Docker

Docker’s magic? Slick deployment for the Unix-challenged. But here’s the catch: it ties skilled users in knots.Sure, it smooths some bumps, but at the price of freedom. Customizations? Troublesome. Troubleshooting? A nightmare. Simple tasks become tangled puzzles... read more  

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Running high-performance PostgreSQL on Azure Kubernetes Service

PostgreSQLpumps life into 36% ofKubernetesworkloads. Over at Azure, they've got localNVMestorage that's as fast as a hot knife through butter—perfect for those deployments that absolutely must defy gravity. For the budget-conscious,Premium SSD v2struts in offering beefy scalability. We're talking up.. read more  

Running high-performance PostgreSQL on Azure Kubernetes Service
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Improving Amazon ECS deployment consistency with SOCI Index Manifest v2

SOCI index manifest v2locks onto container images like a heat-seeking missile. It banishes AWS Fargate deployment gremlins and declutters index management. Switching to v2? Simple—deploy a shiny new CLI subcommand. Voilà, no more accidental SOCI index deletions wreaking havoc on your image indexes... read more  

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Cloud Native App Local Development Made Easy with Microcks and Dapr

Dapr's sidecar model makes service talk a breeze.Microcks? It's all about pretending those pesky dependencies are there, so developers can run tests without spinning up an entire Kubernetes circus... read more  

Cloud Native App Local Development Made Easy with Microcks and Dapr
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Unveiling the Truth: Kubernetes as a Panacea or a Myth?

Kubernetespunches well above its weight, doling out scalability and resilience. But it trips over complexity, gulps down resources, and fumbles database migration. Meanwhile,Istioswoops in with swifttraffic managementand crystal-clear observability. Sadly, it can't magic away those pesky database bo.. read more  

Unveiling the Truth: Kubernetes as a Panacea or a Myth?
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Akamai App Platform Makes Kubernetes Production-Ready – Now in GA

Kubernetes involves building platforms that often exceed budgets due to complexity. Akamai App Platform provides a pre-configured stack of open source Kubernetes projects for ready-to-use platforms in just 20 minutes. The platform also offers easy self-service for developers, making Kubernetes more .. read more  

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How Fortune 500 Companies Are Really Using Kubernetes: Insights from KubeCon London

Platform engineeringis practically the law of the land for cloud-native warriors. Crank upscalability, lighten the load on your talent, and hit that mythical99.9% uptimewith a sprinkling ofOpenTelemetry. Meanwhile, yourGPU utilizationhovers at a pitiful5%. Ouch. That's like having a Ferrari stuck in.. read more  

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Fixing Developer Experience in Kubernetes: How Klutch Helps Developers Stay Productive

Klutchshreds Kubernetes complexity, handing developers the reins with effortless abstractions. It slyly ridesCrossplane'scoattails too... read more  

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Why Is My Docker Image So Big? A Deep Dive with ‘dive’ to Find the Bloat

Docker imagesfor AI often resemble overstuffed suitcases, with a BERT model clocking in at a hefty2.54GB. But trimming them? That’s the key to lightning-fast deployments and lower cloud bills. TheDivetool is your X-ray vision for peeling back layers and spotting the bloat—like those sneaky, useless .. read more  

Why Is My Docker Image So Big? A Deep Dive with ‘dive’ to Find the Bloat
AIStor is an enterprise-grade, high-performance object storage platform built for modern data workloads such as AI, machine learning, analytics, and large-scale data lakes. It is designed to handle massive datasets with predictable performance, operational simplicity, and hyperscale efficiency, while remaining fully compatible with the Amazon S3 API. AIStor is offered under a commercial license as a subscription-based product.

At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.

AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.

Security and enterprise readiness are central to AIStor’s design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.

AIStor is positioned as a platform that unifies diverse data workloads — from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets — within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.