Updates and recent posts about BigQuery..

Posts
Description

Link

@faun shared a link, 11 months, 1 week ago

FAUN.dev()

Use K8sGPT and Amazon Bedrock for simplified Kubernetes cluster maintenance

K8sGPTteams up withAmazon Bedrockto turbocharge Kubernetes operations. Think AI insights, faster debugging, and self-healing magic worthy of a veteran SRE.K8sGPTharnesses AI models likeClaudeandOpenAIin two ways: The trusty CLI for nimble maneuvers and Operator for relentless, watchful monitoring in.. read more

Story

@laura_garcia shared a post, 11 months, 1 week ago

Software Developer, RELIANOID

🚨 New Ransomware Threat: BERT Targets VMware ESXi with Forced VM Shutdowns

A newly identified ransomware group called BERT is making headlines for its disruptive attack strategy: forcibly shutting down ESXi virtual machines before encryption — making recovery nearly impossible. Key highlights: 🔹 Terminates VMs before encryption to block disaster recovery 🔹 Targets ESXi, Li..

Link

@anjali shared a link, 11 months, 1 week ago

Customer Marketing Manager, Last9

How to Get Grafana Iframe Embedding Right

Know how to securely embed Grafana dashboards using iframes, covering auth, config, performance, and monitoring with Last9.

Link

@mashka shared a link, 11 months, 1 week ago

Paid Acquisition and Growth Marketing, xygeni

Are You Worried About Passing an Audit or Staying Compliant? Join Our Next SafeDev Talk

Hi everyone! If you’re working in AppSec, DevSecOps, or compliance and wondering how to prove your security controls work, this talk is for you.

We’re hosting a free, live SafeDev Talk on how to build a real audit-ready AppSec aligned with ISO, NIST, CRA, and more. No fluff, just practical insights from security leaders working across cloud, compliance, and engineering.

🗓️ July 23 | 🕒 17:00 CEST / 11:00 EDT

👉 Click here to register

Hope to see you there !

SafeDev Talk 7 2025 - Compliance (5) (1)

Story

@laura_garcia shared a post, 11 months, 1 week ago

Software Developer, RELIANOID

🎉 We're proud to be featured on 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴𝗙𝗮𝗰𝘁𝘀.𝗼𝗿𝗴!

Their latest article — “𝘚𝘪𝘮𝘱𝘭𝘪𝘧𝘺𝘪𝘯𝘨 𝘓𝘰𝘢𝘥 𝘉𝘢𝘭𝘢𝘯𝘤𝘪𝘯𝘨: 𝘛𝘩𝘦 𝘗𝘰𝘸𝘦𝘳 𝘰𝘧 𝘌𝘢𝘴𝘺 𝘓𝘰𝘢𝘥 𝘉𝘢𝘭𝘢𝘯𝘤𝘦𝘳𝘴 𝘪𝘯 𝘉𝘶𝘪𝘭𝘥𝘪𝘯𝘨 𝘢 𝘔𝘰𝘳𝘦 𝘙𝘦𝘭𝘪𝘢𝘣𝘭𝘦 𝘐𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦” — highlights how RELIANOID is making robust, secure, and scalable application delivery accessible to everyone. Big thanks to the team at InterestingFacts.org for recogniz..

Link

@anjali shared a link, 11 months, 1 week ago

Customer Marketing Manager, Last9

What is Log Loss and Cross-Entropy

Log loss and cross-entropy are core loss functions for classification tasks, measuring how well predicted probabilities match actual labels.

Story

@laura_garcia shared a post, 11 months, 1 week ago

Software Developer, RELIANOID

🚦 What Is a Load Balance Router?

A Load Balance Router distributes network traffic across multiple paths—like servers or internet links—to optimize performance and ensure high availability. 🔍 Key Features: Dynamic traffic distribution High availability & failover Scalability on demand Protocol support (BGP, OSPF) Health checks & mo..

Link

@anjali shared a link, 11 months, 1 week ago

Customer Marketing Manager, Last9

Cloud Log Management: A Developer's Guide to Scalable Observability

Centralized logging helps you debug faster, scale smarter, and cut through noise. Here's how to get it right from the start.

Story

@laura_garcia shared a post, 11 months, 2 weeks ago

Software Developer, RELIANOID

🌐 What is Border Gateway Protocol (BGP)?

BGP is the backbone of the internet — and it’s powering RELIANOID’s advanced routing strategy. In our latest blog, we cover: ✅ eBGP for datacenter & edge connectivity ✅ iBGP for intra-datacenter load balancing ✅ How to build global clusters without GTM, GSLB, or DNSLB ✅ Real-world BGP use cases & se..

Link

@anjali shared a link, 11 months, 2 weeks ago

Customer Marketing Manager, Last9

How to Get Logs from Docker Containers

Learn how to access, filter, and monitor Docker container logs, plus tips for structured logging, rotation, and production-ready setups.

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).