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Backup for GKE supports cross-project backup and restore

Backup for GKEjust got a power-up. Now, you can zip data from one Google Cloud project and unpack it in another. This shake-up makes disaster recovery smoother, teamwork easier, and security tighter by keeping backups out of the wrong hands. All the control, none of the headache. No scripts needed... read more  

Backup for GKE supports cross-project backup and restore
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Automatic Helm Deployments with Ansible on Minikube: Jenkins & Grafana

Ansiblewields its off-the-shelf modules like a charm bracelet, linking arms withDockerandKubernetes. It turns the rut ofHelmsetup into a dance, orchestrating across machines like a seasoned conductor. Declare your Kubernetes resources with the flair of a playwright using Helm charts. Then, invite au.. read more  

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Docker Desktop 4.43: Expanded Model Runner, Reimagined MCP Catalog, MCP Server Submissions, and Smarter Gordon

Docker Desktop 4.43 cranks up AI integration with theModel Runner. OpenAI APIs? Now they're putty in your hands. Fine-tune model runtime with ease. EnterDocker’s Gordon—the multitasker extraordinaire who juggles threads like a caffeinated circus performer. Enjoy speeds and accuracy that make old ver.. read more  

Docker Desktop 4.43: Expanded Model Runner, Reimagined MCP Catalog, MCP Server Submissions, and Smarter Gordon
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Kubernetes List API performance and reliability

Kuberneteshas a meltdown during list calls in massive clusters. Imagine the apiservers screaming fromout-of-memorypains when dealing with over 100k pods. Enterv1.31+, lending a hand with an in-memory watch cache to lighten the load. But let's be real—v1.34is the hero we need, finally syncing paginat.. read more  

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Docker Brings Compose to the Agent Era: Building AI Agents is Now Easy

Docker Composenow makes building and cranking up intelligent agents a breeze, effortlessly meshing with smart frameworks likeVercel AI SDKandGoogle's ADK. Unburden your machine by tossing compute-heavy tasks to the cloud withDocker Offloadfor that sweet GPU boost. Keep local resources untangled and .. read more  

Docker Brings Compose to the Agent Era: Building AI Agents is Now Easy
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How I Finally Understood Virtual Machines vs Containers (Like Apartment Rentals)

VMs: Think of it as leasing that high-rise corner office—yours to deck out, private but a bit of a memory hog.Containers: More like shacking up with roommates—compact, super speedy, and easy to share the load... read more  

How I Finally Understood Virtual Machines vs Containers (Like Apartment Rentals)
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Gluetun is the best way to route your Docker containers through a VPN, here's how I use it

Gluetunprovides a powerful and lightweight solution for routing outbound traffic from Docker containers through a secure VPN tunnel, offering improved privacy, isolation, and control for select applications in a home lab or development environment... read more  

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Switching to Claude Code + VSCode inside Docker

UsingClaude Code in Dockerthrough VSCode's Dev Containers isn't just about tech—it’s about keeping your AI in a safe little box where it can't wreak havoc on your setup. Picture this: no panic over unexpected system tantrums. Plus, say goodbye to absurd rate limits and hefty bills. A bonus, particul.. read more  

Switching to Claude Code + VSCode inside Docker
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How to configure routed IPv6 in Docker

Docker's playing it cool with native routed IPv6. No more clumsy hacks like NAT66. It’s Layer 3 purity—straight-up packet forwarding. Complexity? Toss it. Say hello to sleek routing. Bring your A-game with BGP for routing and tailor-made firewall rules for smooth, peer-to-peer traffic handling... read more  

How to configure routed IPv6 in Docker
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Behind the code: How developers work in 2025

AI's Wobbly Ride with Developers—A staggering 76% of IT/SaaS folks embrace it, compared to a measly 22% across the board. Meanwhile,ChatGPT shoots up to an 82% adoption rate,blazing past others. The days of hunching over desktops are fading; 64% of devs now thrive in the cloud or remote setups.Secur.. read more  

Behind the code: How developers work in 2025
BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).