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@laura_garcia shared a post, 1 day, 16 hours ago

Software Developer, RELIANOID

𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝟴.𝟱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲!

- 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝟴.𝟱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲! This release represents a major step forward in 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝘀𝘆𝘀𝘁𝗲𝗺 𝗶𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆. - 𝗨𝗘𝗙𝗜 𝗦𝗲𝗰𝘂𝗿𝗲 𝗕𝗼𝗼𝘁 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 – cryptographic verification of the boot chain - 𝗗𝗲𝗯𝗶𝗮𝗻 𝗕𝗼𝗼𝗸𝘄𝗼𝗿𝗺 𝟭𝟮.𝟭𝟯 𝗯𝗮𝘀𝗲 + 𝗞𝗲𝗿𝗻𝗲𝗹 𝟲.𝟭.𝟭𝟱𝟵-𝟭-𝗻𝗼𝗶𝗱𝟬 - 𝗛𝗦𝗧𝗦..

relianoid_enterprise_edition_8.5_release

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@viktoriiagolovtseva shared a post, 1 day, 16 hours ago

A Git and Jira Integration Guide: How to Connect GitHub, GitLab, and Bitbucket to Jira Cloud

If you ask a developer, product manager, and QA “why integrate your Git repository with Jira,” they will all give different answers. Some like it for reducing context switching and providing automation options, while others value the transparency and improved traceability. But no matter who you ask, everyone is unanimous: this integration is immensely useful for the teams.

In this article, we focus on the most popular Git applications: GitHub, GitLab, and Bitbucket. We explain how to connect them to Jira Cloud and provide you with practical tips on making the most out of this integration. You will learn how to use smart commits, leverage automation, and gain extra value from third-party apps.

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@ashwinisdave shared a post, 1 day, 18 hours ago

Developer advocate, Middleware

From Metrics to Meaning: Building Context-Aware Dashboards That Actually Help Debug Production Issues

#DevOps #AI Dash... #observa... #log mon...

Most dashboards show what's happening but not why it matters. Learn how to build context-aware dashboards that actually help engineers debug production issues faster.

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@maydali28 started using tool Terraform , 2 days, 5 hours ago.

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@maydali28 started using tool Spring , 2 days, 5 hours ago.

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@maydali28 started using tool Kubernetes , 2 days, 5 hours ago.

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@maydali28 started using tool Java , 2 days, 5 hours ago.

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@maydali28 started using tool Azure Kubernetes Service (AKS) , 2 days, 5 hours ago.

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@maydali28 started using tool AWS EKS , 2 days, 5 hours ago.

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@sancharini shared a post, 2 days, 6 hours ago

Why Understanding Software Testing Basics Is Essential for Every Developer?

Understand why software testing basics is essential for every developer. Learn key testing types, levels, techniques, and best practices to write reliable, maintainable, and high-quality code.

Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.