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@faun shared a link, 9 months, 3 weeks ago
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Elon Musk's xAI Offers Up To $440K For Infrastructure Engineers, Calls It 'Adventure Of A Lifetime'

xAI wants infrastructure engineers to help scale itssupercomputing stack—and they're not playing small. They're after folks who knowKubernetes, can wrangleL4/L7 proxies, and speak fluentcloud networking. The goal: pushmulti-cluster production inferenceacross the Memphis supercluster (yeah, the one .. read more  

Elon Musk's xAI Offers Up To $440K For Infrastructure Engineers, Calls It 'Adventure Of A Lifetime'
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@faun shared a link, 9 months, 3 weeks ago
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OpenTelemetry configuration gotchas

Zero-code OpenTelemetry still feels like a myth. Python skips logs out of the box. Quarkus wires up tracing, nothing else. Micrometer Tracing (Spring Boot) ignores OTel env vars unless you’re on 3.5 or later. Every stack plays by its own rules... read more  

OpenTelemetry configuration gotchas
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@faun shared a link, 9 months, 3 weeks ago
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Kubernetes costs keep rising. Can AI bring relief?

88% of Kubernetes users say their total costs keep climbing—thanks to overprovisioned clusters, messy architectures, and hands-on ops. So now, 92% are bringing inAI-driven cost toolsto automate rightsizing and squeeze waste from sprawling workloads. System shift:AI isn't just sneaking into cluster .. read more  

Kubernetes costs keep rising. Can AI bring relief?
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@faun shared a link, 9 months, 3 weeks ago
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How to Deploy a Kubernetes App on AWS EKS

AWS EKS takes the grunt work out of running Kubernetes. It handles the control plane, automates upgrades, hooks into IAM and VPC, and scales without breaking a sweat. Witheksctlandkubectl, devs can launch clusters fast, drop in their YAML, and wire up services through built-in load balancers... read more  

How to Deploy a Kubernetes App on AWS EKS
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@faun shared a link, 9 months, 3 weeks ago
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How Imagine Learning Reduced Operational Overhead by 20% With Linkerd

Imagine Learning tore down its old platform and rebuilt it onLinkerdwithAWS EKS, layering inArgo CDandArgo Rollouts. The result? GitOps deploys, canary releases via the Gateway API, and mTLS baked in from the start. The payoff: Over80%cut in compute costs. 97%fewer service mesh CVEs. 20%drop in op.. read more  

How Imagine Learning Reduced Operational Overhead by 20% With Linkerd
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@faun shared a link, 9 months, 3 weeks ago
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Tuning Linux Swap for Kubernetes: A Deep Dive

Kubernetes v1.34makesNodeSwapofficial. For the first time, swap on Linux nodes is fully supported—breaking with the old norm of just turning it off. Why it matters: NodeSwap gives the kubelet a pressure valve. Instead of firing off OOM kills, it can push some memory to disk. But this isn’t a free w.. read more  

Tuning Linux Swap for Kubernetes: A Deep Dive
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@laura_garcia shared a post, 9 months, 3 weeks ago
Software Developer, RELIANOID

💻 Linux Tip: ss Command Cheatsheet

The ss (Socket Statistics) command is a faster, more powerful alternative to netstat—perfect for troubleshooting and monitoring network connections. From checking listening ports 🔎 to analyzing load balancer traffic ⚡, our new Cheatsheet gives you the key commands in one place. 👉 Read the 1-minute g..

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@laura_garcia shared a post, 9 months, 3 weeks ago
Software Developer, RELIANOID

🔹 Load Balancing and High Availability for Skype for Business 🔹

In today’s enterprises, Skype for Business is more than just a communication tool—it’s the backbone of collaboration, meetings, and customer interactions. But what happens when downtime strikes? 🚫 Missed client calls 🚫 Halted internal collaboration 🚫 Reduced productivity That’s why High Availability..

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@excelredtech shared a link, 9 months, 3 weeks ago

Why Java Still Dominates in Full-Stack Development

Java remains a top choice for enterprise-level applications due to its stability, security, and rich ecosystem. A Java full stack developer course helps learners master frameworks like Spring Boot and Hibernate, equipping them to build scalable apps end-to-end. With its cross-platform capability and strong community support, Java continues to offer excellent career opportunities for developers who want to stay relevant in today’s tech industry.

Why Java Still Dominates in Full-Stack Development
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@girishkumarb shared a post, 9 months, 3 weeks ago
SEO Executive, uCertify

Top 10 Azure Services Every Developer Should Know About in 2025

Microsoft Azure continues to dominate cloud computing in 2025, offering developers a wide range of tools to build, deploy, and scale applications efficiently. Key services like App Services, Functions, SQL Database, Cosmos DB, Blob Storage, DevOps, Kubernetes Service, AI Services, Key Vault, and Monitor are essential for modern development. Mastering these helps developers streamline workflows, integrate AI, secure data, and deliver high-performing applications—making Azure knowledge a must-have skill in today’s tech landscape.

Microsoft Azure cloud platform tools and services for developers 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).