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@secuodsoft started using tool Node.js , 2 weeks, 4 days ago.

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@secuodsoft started using tool MongoDB , 2 weeks, 4 days ago.

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@secuodsoft started using tool Java , 2 weeks, 4 days ago.

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@secuodsoft created an organization Secuodsoft , 2 weeks, 4 days ago.

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@laura_garcia shared a post, 2 weeks, 5 days 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, 2 weeks, 5 days 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, 2 weeks, 5 days 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 weeks, 5 days ago.

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

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

AIStor is an enterprise-grade, high-performance object storage platform built for modern data workloads such as AI, machine learning, analytics, and large-scale data lakes. It is designed to handle massive datasets with predictable performance, operational simplicity, and hyperscale efficiency, while remaining fully compatible with the Amazon S3 API. AIStor is offered under a commercial license as a subscription-based product.

At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.

AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.

Security and enterprise readiness are central to AIStor’s design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.

AIStor is positioned as a platform that unifies diverse data workloads — from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets — within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.