This blog post is intended for individuals interested in exploring the intricacies of ARM architecture, particularly software developers seeking to understand its capabilities within the context of Kubernetes orchestration. What will you learn? By the end of this post, you will gain insights into: Exploring the fundamentals of ARM architecture Build arm64 container image with docker buildx. Utilizing a Python API to convert MKV videos to MP3 audio files Orchestrating tasks seamlessly on EKS Demonstrating its potential through a captivating demo Prerequisites Git installation is necessary to ..read more

When I first explored integrating Amazon Elastic Kubernetes Service (EKS) with AWS services like S3, the complexity of permissions was quite daunting. That is when I discovered Amazon EKS Pod Identity, a tool that greatly simplified this task. In this article, I will share my experience using EKS Pod Identity to grant an EKS application the necessary permissions to work with an S3 bucket. Prerequisites To get started, here is what I made sure I had in place: An active AWS account with access to EKS and S3. A running Amazon EKS cluster, version 1.24 or higher. AWS CLI installed and configured ..read more

In Kubernetes, effectively managing microservices is critical for the seamless operation of cloud-native applications. A service mesh, like Istio, offers a robust solution to the complexities of service-to-service communication, ensuring that microservices can interact securely and efficiently. This article explores the deployment of microservices on Amazon Elastic Kubernetes Service (EKS) using Istio, providing a straightforward guide to harnessing these technologies for improved microservice management. Understanding the Challenges While flexible and scalable, Microservices architectures int ..read more

In the ever-evolving landscape of IT service management, efficiency and rapid response are critical. Enter the ServiceNow Incident Analysis QnA Bot, a sophisticated tool designed to automate and streamline the process of incident analysis and resolution. The Convergence of Technologies This application, created using Flask and Python, extracts data about incidents from ServiceNow and saves it in a CSV file. This data can then be analyzed in-depth. However, the application’s true power lies in its use of AI through Langchain and Amazon Bedrock’s models. This helps users better understand incide ..read more

In today’s ever-evolving technological landscape, there are infinite possibilities to delve into and interact with Bible verses. I myself have recently embarked on a personal endeavor, creating a Q&A platform specifically tailored to the King James Version (KJV) of the Bible. Extracting the KJV Bible The first step was to acquire the content. Thanks to the Bible API, extracting the full text of the KJV Bible was a straightforward process. This API offers a structured format of the Bible verses, making the extraction process seamless. Note: Bible verses taken from the King James Version (K ..read more

In natural language processing (NLP), embeddings are vital in converting text data into a format that machines can understand. These dense vector representations of text capture the semantic meaning and are essential for various NLP tasks, including text classification, sentiment analysis, and conversational AI. Pinecone is a vector database that stores and retrieves embeddings efficiently. It is optimized for large-scale machine learning applications, offering fast and accurate similarity searches. Pinecone is particularly well-suited for applications requiring real-time retrieval of similar ..read more

As an Automation Engineer with a passion for Cloud Computing, DevOps, and Distributed Systems, I wanted to create an application that could automatically extract content from a resume PDF and generate answers to user queries based on the extracted data. To achieve this, I used Python Flask, PyPDF2, and the OpenAI API. If you would like to look at the source files for this post, you can find them in this repository. How It Works Data Extraction: The first step was to extract text from the resume PDF. To do this, I utilized PyPDF2, a Python library that allows us to read and manipulate PDF files ..read more

Throttling in SharePoint Online is a mechanism implemented to prevent overuse of resources and maintain optimal performance and reliability. When throttling occurs, SharePoint Online returns HTTP status codes, such as 429 (“Too many requests”) or 503 (“Server Too Busy”). This article focuses on the best practices for handling throttling by honoring the Retry-After and RateLimit headers provided in the response. Understanding Throttling in SharePoint Online Throttling in SharePoint Online can occur at both the user and application levels. User throttling restricts the number of calls and operat ..read more

In today’s digital landscape, effective logging and alerting are crucial for ensuring the reliability, security, and performance of your applications and infrastructure. One powerful tool that can help you achieve this is AWS CloudWatch Logs. With CloudWatch Logs, you can capture, store, and analyze log data from various sources, including HashiCorp Vault, a popular secrets management tool. In this article, we will explore how to leverage CloudWatch Logs for logging and alerting with HashiCorp Vault, enabling you to proactively respond to critical events. Understanding CloudWatch Logs and Has ..read more

Slack is one of the most widely used messaging platforms in modern workplaces. It’s a great tool for communication, collaboration and teamwork. As with any software, Slack can also have outages and issues that may impact user productivity. Therefore, it’s important to stay informed about Slack’s status to prevent any productivity loss. One way to stay informed is to check Slack’s status page, but this can be a tedious and time-consuming task. In this blog post, we will explore how to automate the notification process of Slack’s status using Python. We will write Python code to check Slack’s st ..read more