Author: Hridyesh singh bisht

Hridyesh Bisht is a Technical Knowledge Specialist at Suse, where he focuses on creating technical documentation, designing training courses, and building GitHub Actions to automate processes. He also analyzes and visualizes user feedback and metrics to enhance documentation and training materials. Hridyesh is actively involved in open-source projects, including contributing to AsyncAPI under the Google Season of Docs 2023 program. He developed detailed documentation and training content and delivered a talk at the AsyncAPI conference. Hridyesh is currently contributing to SigNoz(An open source data monitoring tool). Hridyesh believes that "Engineering is the closest thing to magic in the world." He thrives on contributing to technical communities as a developer, technical writer, and speaker, sharing knowledge and fostering a community. A former AWS Community Builder for nearly three years, he also organizes meetups for the Doon Technical Community to connect and empower local tech enthusiasts.

Accelerate App Development with OutSystems Low-Code

OutSystems simplifies app development by reducing manual coding through prebuilt components and visual workflows. OutSystems offers faster deployment, automated dependency management, and simplified database synchronization compared to high-code development.

Integrating Low-Code & High-Code Solutions Effectively

Low-code and high-code solutions bring together the best of rapid application development and customizability. By strategically combining these approaches, teams can accelerate development timelines, handle complex integrations, and respond swiftly to changing business needs. This guide covers when to choose each approach, tips for a seamless integration, and best practices for unified observability using tools like SigNoz. Building a balanced architecture with both low-code and high-code provides a scalable, efficient, and resilient solution for today’s dynamic development environment.

Build Docs-as code APIs

This blog talks about benefits of a docs-first approach to design and model APIs. It includes a detailed example of creating a Coffee Catalog API. It also discusses about OpenAPI and SwaggerHub simplify API development. Finally, it introduces open source tools like AsyncAPI and JSON Schema.

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technical Writing 101

I’ve been in the technical writing field for a few years now. Recently, I had the opportunity to contribute to AsyncAPI under Google Season of Docs. This document covers the responsibilities of technical writers, research methods, style guides, and best practices in technical writing.

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How to effectively store and analyze logs in AWS CLOUD

This blog aims to help you understand how to store and analyze logs in AWS and some recommended practices.

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Things to know about Streaming data

Stream processing services and architectures are becoming increasingly popular because they enable developers to mix data feed from multiple sources, and since not all data is produced equally and its value changes.

This blog will cover the introduction to streaming data, components of streaming data architecture, integrating batch processing with stream processing, and in depth about Amazon kinesis services.

Protected: WebRTC USING PYTHON?

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Protected: when and why to choose cloud over on prem

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Things to know about Machine learning(ML) models on cloud

As data becomes more diverse and valuable, we will see more Machine Learning models on cloud. With the rise of intelligent machines, it is becoming important for developers to understand Machine Learning approaches on cloud.

This blog covers what is machine learning, distributed machine learning, Amazon Rekognition, Amazon Lex, Amazon Sagemaker, and Amazon EMR.

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Things to know about Data-Driven Architecture on cloud

As data becomes more diverse and valuable, we will see more data-driven architecture and software. With the rise of data, it is becoming important for developers to understand data-driven approaches.

This blog explains what data is, how can we enrich our data, how can we analyse our data, and how to best use our data. We will be covering AWS Glue, AWS QuickSight, and AWS Sagemaker.