Is Your Application Evolving or Aging? The Role of Software Maintenance Services in Continuous Improvement
Read this blog to learn how software maintenance services fuel continuous improvement, prevent downtime, and protect your digital investments.
Updates and recent posts about AIStor.. Story
Story
@marxjenes shared a post, 1ย month, 1ย week ago
State Transition Testing Techniques for Microservices Applications
Learn effective state transition testing techniques for microservices applications. Ensure reliable service behavior, validate workflows, and strengthen regression testing in CI/CD pipelines.
ย Activity
@kala added a new tool Claude Code , 1ย month, 1ย week ago.
News FAUN.dev() Team Trending
@kala shared an update, 1ย month, 1ย week ago
FAUN.dev()
NanoClaw Brings Container-Isolated AI Agents to WhatsApp and Telegram
NanoClaw is a lightweight open-source personal AI agent that runs locally and connects to apps like WhatsApp and Telegram. Built with only ~3,900 lines of code across 15 files, it uses container isolation to securely run agents and aims to offer a simpler, fully auditable alternative to large frameworks like OpenClaw.
News FAUN.dev() Team Trending
@kala shared an update, 1ย month, 1ย week ago
FAUN.dev()
OpenAI Unveils GPT-5.4, a Stronger Model for Reasoning, Coding, and Real Work
OpenAI released GPT-5.4, its new flagship model for ChatGPT, the API, and Codex. It improves reasoning, coding, and agent workflows, introduces native computer-use capabilities, supports up to 1M tokens of context, and adds tool search to make large tool ecosystems more efficient. The model is more accurate, more token-efficient, and better at real professional tasks like coding, spreadsheets, documents, and web research. A higher-performance GPT-5.4 Pro version is also available for complex workloads.
Story
@laura_garcia shared a post, 1ย month, 1ย week ago
Software Developer, RELIANOID
๐ง๐ต๐ฒ ๐๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐ฑ๐ฒ๐ป๐๐ถ๐๐ ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ ๐ฆ๐๐ฎ๐ฟ๐๐ ๐ถ๐ป ๐๐ผ๐ป๐ฑ๐ผ๐ป
๐ ๐ง๐ต๐ฒ ๐๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐ฑ๐ฒ๐ป๐๐ถ๐๐ ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ ๐ฆ๐๐ฎ๐ฟ๐๐ ๐ถ๐ป ๐๐ผ๐ป๐ฑ๐ผ๐ป The ๐๐ฎ๐ฟ๐๐ป๐ฒ๐ฟ ๐๐ฑ๐ฒ๐ป๐๐ถ๐๐ & ๐๐ฐ๐ฐ๐ฒ๐๐ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐ ๐ฆ๐๐บ๐บ๐ถ๐ ๐ฎ๐ฌ๐ฎ๐ฒ is almost here! On ๐ ๐ฎ๐ฟ๐ฐ๐ต ๐ตโ๐ญ๐ฌ ๐ถ๐ป ๐๐ผ๐ป๐ฑ๐ผ๐ป, IAM leaders, security architects, and IT executives will gather to tackle the biggest challenges shaping modern identity security. From ๐๐ฑ๐ฒ๐ป๐๐ถ๐๐ ๐ง๐ต๐ฟ๐ฒ๐ฎ๐ ๐๐ฒ๐..
Story
@viktoriiagolovtseva shared a post, 1ย month, 1ย week ago
A Free Jira Position Opening Template for Recruitment Teams
The quality of the hiring process defines the quality of the teams working in your organization. Thatโs why itโs paramount to ensure that this process is well-organized and built upon best practices. Using templates in Jira for recruitment tasks is a great way to achieve this. They allow you to document your approaches and policies, promote consistency, and simply save time.
In this article, we explain how to create a position opening template for Jira in two different ways. We also provide you with a reusable checklist template, which you can copy and paste into your Jira task. But first, letโs decide what type of template you need.
Story
@laura_garcia shared a post, 1ย month, 1ย week ago
Software Developer, RELIANOID
๐ ๐ ๐ผ๐๐ ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ป๐ถ๐ฒ๐ ๐๐ต๐ถ๐ป๐ธ ๐ป๐ฒ๐๐๐ผ๐ฟ๐ธ ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ ๐ถ๐ ๐ฎ๐ฏ๐ผ๐๐ ๐๐ผ๐ผ๐น๐.
๐ ๐ ๐ผ๐๐ ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ป๐ถ๐ฒ๐ ๐๐ต๐ถ๐ป๐ธ ๐ป๐ฒ๐๐๐ผ๐ฟ๐ธ ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ ๐ถ๐ ๐ฎ๐ฏ๐ผ๐๐ ๐๐ผ๐ผ๐น๐. Firewalls. WAFs. IDS. Monitoring platforms. But the truth is simpler: ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ ๐๐๐ฎ๐ฟ๐๐ ๐๐ถ๐๐ต ๐ฎ๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ. At RELIANOID, we design our ๐ฅ๐๐๐๐๐ก๐ข๐๐ ๐๐ผ๐ฎ๐ฑ ๐๐ฎ๐น๐ฎ๐ป๐ฐ๐ฒ๐ฟ following the principles of ๐๐ฆ๐ข/๐๐๐ ๐ฎ๐ณ๐ฌ๐ฏ๐ฏ, the international framework for secure netwo..
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 AIStorโs 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 โ from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets โ within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.
