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@abhilashjn85 shared a post, 1 year ago

Audit Log Service-Evaluating Different Approaches

Java

Audit Log is basically all sort of records that corresponds to any changes within the application. Most importantly, while designing an audit log service we should understand what fields to audit when an event occurs. The information included in the log should provide the context of the event, the “who, what, where, and when,” and anything else of relevance.

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@prajuktadey shared a post, 1 year ago

Stuck while installing Django? Here’s some steps for you to follow

Django Python

Hello, long time no see. I am back with another article for you guys. Here’s some steps that will guide you through a smooth installation of the Python web framework: Django.

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@jayaharyonomanik shared a post, 1 year ago
Data Engineer, Kitabisa

CICD your Tableau Dashboard with Github Actions

commit and push your .twb (Tableau Workbooks) files confidently

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@sezginerdem shared a post, 1 year ago
DevOps Engineer

Why Use the Go Language for Your Project?

#DevOps  #GoLang  #Go 
Go

Even without major changes, we can expect increased use of Go for infrastructure rebuilding projects, as per the replacements for SSH and NTP described above, and as part of multi-language projects.Third-party implementations of the Go toolchain have also proliferated. ActiveState’s ActiveGo provide..

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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

What is Log Data? The SRE's Essential Guide

Learn how log data helps SREs debug issues, monitor performance, and understand system behavior effectively.

log
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

The Ultimate Guide to GCP Logs for DevOps Engineers

Discover everything DevOps engineers need to know about GCP logs, from collection to analysis, to optimize performance and troubleshooting.

gcp
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@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID

Join us at CYBERUK 2025 in Manchester!

The UK government's flagship cybersecurity event hosted by the National Cyber Security Centre. Connect with 2,000+ cyber security leaders, engage in 10+ hours of curated networking, and hear from over 100 expert speakers on the theme "Transforming Resilience. Countering Threats." How will you transf..

CYBERUK 2025
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Simplifying Container Observability for DevOps Teams

Learn how to simplify container observability for your DevOps team by effectively tracking metrics, logs, and traces to improve performance.

container
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@viktoriiagolovtseva shared a post, 1 year ago

Bug Template for Jira: Streamline Bug Tracking and Reporting

Stop wasting time on messy bug reports — use a bug template to bring order and speed to your tracking process. Bug tracking can get chaotic without a clear process. Inconsistent reports lead to confusion, delays, and frustration for QA teams and developers. A bug template in Jira solves this problem..

Screenshot 2025-04-29 at 16.13.29
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Prometheus Port Configuration: A Detailed Guide

Learn how to configure Prometheus ports correctly, whether using defaults or custom settings, to keep your monitoring setup running smoothly.

prometheus port
NanoClaw is an open-source personal AI agent designed to run locally on your machine while remaining small enough to fully understand and audit. Built as a lightweight alternative to larger agent frameworks, the system runs as a single Node.js process with roughly 3,900 lines of code spread across about 15 source files.

The agent integrates with messaging platforms such as WhatsApp and Telegram, allowing users to interact with their AI assistant directly through familiar chat applications. Each conversation group operates independently and maintains its own memory and execution environment.

A core design principle of NanoClaw is security through isolation. Every agent session runs inside its own container using Docker or Apple Container, ensuring that the agent can only access files and resources that are explicitly mounted. This approach relies on operating system–level sandboxing rather than application-level permission checks.

The architecture is intentionally simple: a single orchestrator process manages message queues, schedules tasks, launches containerized agents, and stores state in SQLite. Additional functionality can be added through a modular skills system, allowing users to extend capabilities without increasing the complexity of the core codebase.

By combining a minimal architecture with container-based isolation and messaging integration, NanoClaw aims to provide a transparent, customizable personal AI agent that users can run and control entirely on their own infrastructure.