Git 3.0 to Launch by 2026 with SHA-256 for Enhanced Security
Git 3.0, set for release by 2026, will adopt SHA-256 for improved security and performance, modernizing the platform.
Updates and recent posts about BigQuery..
News FAUN.dev() Team
@kala shared an update, 5 months ago
FAUN.dev()
Amazon Launches Quick Suite: "The AI Teammate"
Amazon introduces Quick Suite, an AI-driven tool to boost workplace efficiency by integrating research, business intelligence, and automation into one platform.
News FAUN.dev() Team
@devopslinks shared an update, 5 months ago
FAUN.dev()
Linux Kernel 6.18 RC1 Released: Public Testing Begins
The Linux kernel 6.18 RC1 has been released for public testing, featuring enhancements in Btrfs, LoongArch KVM, FreeBSD’s Bhyve hypervisor, and AMD's Secure AVIC, with the final release expected by late 2025.
News FAUN.dev() Team
@varbear shared an update, 5 months ago
FAUN.dev()
FSF Launches Librephone Project to Free Android from Proprietary Code
The Free Software Foundation launched the Librephone project to replace proprietary Android components with open-source alternatives, aiming for complete software freedom.
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@laura_garcia shared a post, 5 months ago
Software Developer, RELIANOID
Unveiling the Power of Network Load Balancers
We’re thrilled to be featured in “Unveiling the Power of Network Load Balancers” by HENOF 📰 The article highlights how RELIANOID Load Balancer is redefining reliability, scalability, and security in modern data centers. 🔗 Read it here: https://www.relianoid.com/about-us/relianoid-related-articles/ #..
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@viktoriiagolovtseva shared a post, 5 months ago
Task Management in Jira: Stories vs. Tasks in Agile Workflows
Agile frameworks like Scrum provide flexibility in structuring workflows, which can sometimes lead to confusion, especially when using project management tools such as Jira.
This is especially true for tasks and story issue types, as both exist at the same hierarchy level, and teams often struggle to determine when to use one over the other.
Although these issue types share the same hierarchy in Jira, they are intended for different purposes. By understanding their roles, teams can better organize their work, improve their planning, and enhance their reporting.
In this article, I’ll explore the purpose of tasks and stories, how they can work together effectively, and best practices for managing them in Jira.
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@viktoriiagolovtseva shared a post, 5 months ago
How to Link Issues in Jira Manually and Automatically
Connecting issues in Jira serves many purposes. For instance, it allows you to track dependencies between tasks, identify blockers, and visualize these blockers in a timeline view. As a result, you can better organize your team’s work, enhance planning, and improve collaboration.
In this blog post, I explain how to link issues in Jira using different methods. You can link issues automatically or manually from a Jira board or issue view. Additionally, we give you useful tips on how to make working with linked issues more convenient and efficient.
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@shurup shared a post, 5 months ago
@palark
New features introduced in Kubernetes 1.34
Recently, the latest Kubernetes version, v1.34, was released with 13 new alpha features on board. They include: - KYAML, a new dialect of YAML for Kubernetes manifests, which is still compatible with all existing tooling; - asynchronous API calls to kube-apiserver during scheduling; - various enhanc..
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@laura_garcia shared a post, 5 months ago
Software Developer, RELIANOID
🚀 Load Balancing and High Availability of Skype for Business with RELIANOID
Unified communication platforms like Skype for Business play a critical role in keeping teams connected through instant messaging, voice, and video — but maintaining high performance and availability is key. That’s where RELIANOID ADC comes in. 💪 In our latest article, we explain how to optimize Sky..
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@anjali shared a link, 5 months ago
Customer Marketing Manager, Last9
Choosing the Right APM for Go: 11 Tools Worth Your Time
Explore 11 APM tools built for Go—from lightweight open-source options to enterprise-grade platforms that simplify debugging.
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).
