Updates and recent posts about Vertex AI..

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@viktoriiagolovtseva shared a post, 7 months, 2 weeks ago

Why Use Atlassian Forge? Benefits, Pricing & Use Cases

Why Atlassian Needed a Modern App Development Platform

Building apps for Jira, Confluence, and other Atlassian products has traditionally been a resource-heavy process. Developers had to configure their own servers, ensure uptime, and pass rigorous security checks to get their apps approved for the Atlassian Marketplace. This setup required both development expertise and operational support, slowing app development and increasing costs.

Atlassian Forge was introduced to eliminate these barriers. It is a modern cloud-based app development platform that allows developers to build secure, serverless apps directly within Atlassian’s infrastructure. Forge simplifies building apps, giving developers more time to focus on functionality, while Atlassian handles hosting, security, and scaling.

This article explains Forge’s core features, key benefits, pricing model, and common use cases. Whether you are a developer considering your first Atlassian app or a team looking to transition from Connect to Forge, this guide will help you decide if Forge is the right solution for your business.

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@viktoriiagolovtseva shared a post, 7 months, 2 weeks ago

Jira For HR: How to Automate HR Processes And Use Checklists in Jira

The more you can automate, the more time you will have for the “H” part of HR—humans. In addition to freeing up time, automation brings you many other benefits. It allows you to build clear and transparent processes, create a smooth employee experience, and improve retention rates.

In this blog post, we explain how to set up various types of automation in Jira for HR management purposes.

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@anjali shared a link, 7 months, 2 weeks ago

Customer Marketing Manager, Last9

Sidecar or Agent for OpenTelemetry: How to Decide

Sidecar or agent? See when per-service isolation beats node-level efficiency, and how gateways fit into a scalable OTel pipeline.

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@laura_garcia shared a post, 7 months, 2 weeks ago

Software Developer, RELIANOID

In case you missed this update 👇

🌏 Asia Hits 50% IPv6 Capability — A Global Milestone 📶 Asia has officially crossed a key internet threshold: half of all systems in the region are now IPv6 capable, making it a global front-runner in IPv6 adoption. 📌 Why it matters: 🌐 India (78.1%) and China (810M users) are powering this impressive..

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@mashka shared a post, 7 months, 2 weeks ago

Paid Acquisition and Growth Marketing, xygeni

Why Tool Sprawl Is Hurting AppSec More Than Helping It

Why Tool Sprawl Is Killing AppSec Productivity?

Modern engineering teams ship software faster than ever, but security tools haven’t kept up. Instead of helping, they often slow everything down. With multiple scanners, dashboards, and sources of truth, AppSec has become noisy and fragmented.

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@laura_garcia shared a post, 7 months, 2 weeks ago

Software Developer, RELIANOID

Safeguarding Protected Health Information with RELIANOID 🛡️

RELIANOID aligns its organizational practices and Load Balancer platform with the HIPAA Security and Privacy Rule safeguards, ensuring the protection of electronic Protected Health Information (ePHI). ✅ Administrative, physical, and technical safeguards in place ✅ Encryption (TLS v1.2+, AES-256), RB..

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@anjali shared a link, 7 months, 2 weeks ago

Customer Marketing Manager, Last9

OTel Updates: Consistent Probability Sampling Fixes Fragmented Traces

One sampling decision, propagated everywhere. OpenTelemetry's Consistent Probability Sampling fixes fragmented traces across services.

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@laura_garcia shared a post, 7 months, 2 weeks ago

Software Developer, RELIANOID

🚀 RELIANOID at DevOpsDays Istanbul 2025 – Building the Future of DevOps Together

🗓 November 1st, 2025 | 📍 Istanbul, Türkiye The DevOps world never stops evolving — and DevOpsDays Istanbul 2025 is where innovation, collaboration, and continuous improvement meet. Join RELIANOID and the global DevOps community to explore: 🔹 Continuous Delivery & Automation – Streamlining pipelines ..

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@varbear shared a link, 7 months, 2 weeks ago

FAUN.dev()

Build Your Own Database

LSM trees fix the mess naive key-value stores run into. They blendin-memory sorted indexeswithappend-only disk filesto keep things snappy. Writes get logged, not scattered. Reads stay fast. When files pile up,compaction and segmentingkick in to keep storage lean. This is a rewrite of the storage pla.. read more

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@varbear shared a link, 7 months, 2 weeks ago

FAUN.dev()

100X Faster: How We Supercharged Netflix Maestro’s Workflow Engine

The Maestro engine has been revamped for jaw-dropping improvement: a speed boost of100Xwith overhead slashed from seconds to milliseconds. The groundbreaking redesign delivers massive performance gains, solving past workflow development hurdles and elevating user experiences sky-high!.. read more

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.