News Aggregator

Chat Completion Models vs OpenAI Assistance API

Aggregated on: 2025-02-11 16:27:39

In this blog, we are going to explore some key differences between chat completion models (like those provided via the Chat Completions endpoint) and the more advanced OpenAI Assistance API. We will break down how these two approaches handle messages, conversation history, large documents, coding tasks, context window limits, and more. We will also look at how the Assistance API provides additional tools — such as code interpreters, document retrieval, and function calling — that overcome many limitations of chat completions. Understanding Chat Completion Models Chat completion models, such as GPT‑4 or GPT‑4o, typically expect a sequence of messages as input. The usual process is simple: You send a list of messages to the model. The model generates a response. You receive the response as output. Example Flow of Chat Completions You ask: “What’s the capital of Japan?”

OpenCV Integration With Live 360 Video for Robotics

Aggregated on: 2025-02-11 15:27:39

As artificial intelligence gets more advanced, robots are increasingly used to free humans from the risks of inspecting dangerous locations or the drudgery of routine visual surveillance. To provide some degree of autonomous decision, the robot often has cameras connected to an onboard Linux computer such as an NVIDIA Jetson or x86 single-board computer (SBC). If the application benefits from live 360-degree video, there are two approaches. The first, more difficult approach is to use multiple cameras and stitch the video together on the computer or process each video feed separately. The number of cameras used depends on the field of view of each camera. If the robot uses two fisheye lenses that can show more than 180 degrees, only two cameras are needed. It's common to use three or four cameras.

SQL as the Backbone of Big Data and AI Powerhouses

Aggregated on: 2025-02-11 14:27:38

The term "big data" often conjures images of massive unstructured datasets, real-time streams, and machine learning algorithms. Amid this buzz, some may question whether SQL, the language of traditional relational databases, still holds its ground. Spoiler alert: SQL is not only relevant but is a cornerstone of modern data warehousing, big data platforms, and AI-driven insights. This article explores how SQL, far from being a relic, remains the backbone of big data and AI ecosystems, thriving in the context of data warehousing and cloud-native technologies like Google BigQuery.

Perfecting CRUD Functionality in NextJS

Aggregated on: 2025-02-11 13:27:38

CRUD operations are fundamental building blocks and crucial for managing data. They are ubiquitous in virtually every application, from simple websites to complex enterprise solutions. NestJS Boilerplate users have already been able to evaluate and use a powerful new tool — CLI, which allows you to automatically create resources and their properties. With this tool, you can make all CRUD operations and add the necessary fields to them without writing a single line of code manually. Let’s now explore CRUD operations from the frontend perspective.

The Impact of Asynchronous Work on Engineering Innovation

Aggregated on: 2025-02-11 12:27:38

We were in the middle of a critical API design decision, and the VP of Engineering had just received an urgent message. His team was scattered across three continents — Singapore's developers were heading home, London was deep in their workday, and San Francisco was still hours from logging on. "There's no way we can get everyone in a room anymore," he told us during our coffee chat last week. "But honestly? That turned out to be a good thing." He's right. The days of quick hallway consultations and crowded whiteboard sessions feel like ancient history now. Instead, we've discovered something unexpected: our technical discussions have actually grown richer (Chen, Johnson, and Sawyer, 2020). Engineers who might have been hesitant to speak up in rapid-fire meetings now craft thoughtful proposals that their colleagues around the world can consider and build upon.

Indexed View for Aggregating Metrics

Aggregated on: 2025-02-10 22:27:38

Microsoft Azure SQL is a robust, fully managed database platform designed for high-performance querying, relational data storage, and analytics. For a typical web application with a backend, it is a good choice when we want to consider a managed database that can scale both vertically and horizontally. An application software generates user metrics on a daily basis, which can be used for reports or analytics. Azure SQL is a great choice to consider for storing and querying this data under certain conditions:

An In-Depth Guide to Threads in OpenAI Assistants API

Aggregated on: 2025-02-10 21:12:38

In this blog, we will explore what chat completion models can and cannot do and then see how Assistance API addresses those limitations. We will also focus on threads and messages — how to create them, list them, retrieve them, modify them, and delete them. Additionally, we will add some Python code snippets and show possible outputs based on the script language.

Drupal as a Headless CMS for Static Sites

Aggregated on: 2025-02-10 20:27:38

The use of digital platforms has made it crucial for people and companies to build their brands online. Although traditional CMS solutions are versatile, they involve the burden of taking care of databases and server-side rendering. This article examines the possibility of using Drupal as a headless CMS coupled with static site generators. In this way, Drupal can act as a powerful backend for handling the content while allowing for the development of fast, secure, and lightweight static websites. This approach is to get the best of both platforms: on the one hand, Drupal’s flexibility in content modeling and, on the other hand, the efficiency and scalability of static sites.

Spring Data Neo4j: How to Update an Entity

Aggregated on: 2025-02-10 19:27:38

After working on a new online Spring Data Neo4j course, I learned a couple more things about updating an entity. The course required a different set of scenarios than outlined in my previous SDN update blog post, so I wanted to cover those scenarios, as well. Spring save() Method First up is the out-of-the-box save() method that is provided by Spring as a default. This method takes an input of the entity object you want to save to the database.

Securing Kubernetes in Production With Wiz

Aggregated on: 2025-02-10 18:12:38

Today's cloud environments use Kubernetes to orchestrate their containers. The Kubernetes system minimizes operational burdens associated with provisioning and scaling, yet it brings forth advanced security difficulties because of its complex nature. The adoption of Kubernetes by businesses leads organizations to use dedicated security platforms to protect their Kubernetes deployments. Wiz functions as a commercial Kubernetes security solution that delivers threat detection, policy enforcement, and continuous monitoring capabilities to users. Organizations must evaluate Wiz against direct competitors both inside and outside the open-source landscape to confirm it satisfies their requirements.

Explore Open WebUI: Your Offline AI Interface

Aggregated on: 2025-02-10 17:27:38

Are you looking for a user-friendly, self-hosted AI interface designed to operate entirely offline? Look no further; Open WebUI might be what you are looking for. In this blog, you will dive into some nice features of Open WebUI. Enjoy! Introduction Quite some inference engines exist which can run locally, for example, Ollama, LMStudio, LocalAI, Jan, and many others. Some of them also come with a Graphical User Interface (GUI). However, these run locally on the same machine as the inference engine. What if you would like to offer a ChatGPT-like user interface within your company that runs entirely offline? The inference engine runs on dedicated machines with GPUs (on-premise or in a private cloud), and the GUI is a web application available to your users. The advantage of this setup is that all your data does not leave your company and is not shared with any cloud vendor. The privacy of your data is secured with this setup.

Security Controls in the Android Operating System (OS)

Aggregated on: 2025-02-10 16:27:38

As part of the Android Application Security series, we are going to understand the security controls provided by Android OS (operating system) to protect the applications that are running on the device. Without these security controls in place, the data on the devices or transmitted by apps could be easily accessed by other apps or devices in the network. Before getting started, if you haven't read the first part of this series, I highly recommend reading it.

Enhancing API Integration Efficiency With a Mock Client

Aggregated on: 2025-02-10 15:12:38

Due to the rapid growth of the API industry, client-server interaction must be seamless for everyone. Dependence on live APIs during development, however, may cause delays, particularly if the APIs are currently being built or undergoing frequent changes. A mock client can be helpful for developers aiming for efficiency and reliability. In this article, we focus on the concept of mock clients, their significance, and how to use them for development.

Improving Cloud Infrastructure for Achieving AGI

Aggregated on: 2025-02-10 14:27:38

Artificial general intelligence (AGI) represents the most ambitious goal in the field of artificial intelligence. AGI seeks to emulate human-like cognitive abilities, including reasoning, understanding, and learning across diverse domains. The current state of cloud infrastructure is not sufficient to support the computational and learning requirements necessary for AGI systems. To realize AGI, significant improvements to cloud infrastructure are essential.

Designing AI Multi-Agent Systems in Java

Aggregated on: 2025-02-10 13:12:38

The year 2025 is the year of AI agents. For the purposes of this article, an AI agent is a system that can leverage AI to achieve a goal by following a series of steps, possibly reasoning on its results and making corrections. In practice, the steps that an agent follows can constitute a graph. We will build a reactive agent (meaning that it reacts to a stimulus, in our case, the input from a user) to help people find their perfect vacation. Our agent will find the best city in the specified country, considering the food, sea, and activity specified by the user.

SQL Dynamic Data Masking for Privacy and Compliance

Aggregated on: 2025-02-10 12:27:38

SQL Server Dynamic Data Masking is a feature that allows you to obscure sensitive data from non-privileged accounts, improving data security and compliance. Rather than showing credit card numbers, passwords, or personal identifiers in cleartext, you can define masking rules at the column level so that specific users see only masked values. In contrast, others with elevated permissions see the actual data. When to Use Dynamic Data Masking Lower environments (development, QA). Typically, developers and testers do not need access to actual sensitive information. Masking ensures that they can work with realistic datasets without risking exposure to PII. Third-party access. When sharing data with external consultants or analytics vendors, masked data prevents inadvertent or malicious disclosure of sensitive content. Regulatory compliance. For environments where regulations like GDPR, HIPAA, or PCI-DSS apply, dynamic masking helps ensure only authorized personnel can view sensitive data in cleartext Prerequisites SQL server version. Dynamic data masking is available in SQL Server 2016 and later. Permissions and roles. To create or modify masking rules, you must have the ALTER ANY MASK and ALTER permissions on the table. End-users who only have SELECT permissions on the table or view will automatically be served masked data if they do not have UNMASK permission. Assessment of sensitive fields. Identify which columns contain PII or sensitive data. Typical candidates: Email addresses Phone numbers National identifiers (e.g., SSN) Credit card numbers Passwords or security answers How to Implement Dynamic Data Masking 1. Identify Columns to Mask Review each column and decide which requires masking using the query below:

React Callback Refs: What They Are and How to Use Them

Aggregated on: 2025-02-07 22:20:24

During development, we often need direct interaction with DOM elements. In such cases, React provides us with a mechanism called refs, which allows access to elements after they have been rendered. Most commonly, we use standard object refs via useRef (let’s call them that), but there is another approach known as callback refs. This method offers additional flexibility and control over the lifecycle of elements, enabling us to perform certain specific actions at precise moments when elements are attached or detached from the DOM. In this article, I want to explain what callback refs are and how they work, discuss the pitfalls you might encounter, and show examples of their usage.

AOP for Post-Processing REST Requests With Spring and AspectJ

Aggregated on: 2025-02-07 21:05:24

Aspect-oriented programming (AOP) is a programming paradigm that enables the modularisation of concerns that cut across multiple types and objects. It provides additional behavior to existing code without modifying the code itself. AOP can solve many problems in a graceful way that is easy to maintain. One such common problem is adding some new behavior to a controller (@Controller) so that it works “outside” the main logic of the controller. In this article, we will look at how to use AOP to add logic when an application returns a successful response (HTTP 200). An entity should be deleted after it is returned to a client.

A Guide to Using Amazon Bedrock Prompts for LLM Integration

Aggregated on: 2025-02-07 20:20:25

As generative AI revolutionizes various industries, developers increasingly seek efficient ways to integrate large language models (LLMs) into their applications. Amazon Bedrock is a powerful solution. It offers a fully managed service that provides access to a wide range of foundation models through a unified API. This guide will explore key benefits of Amazon Bedrock, how to integrate different LLM models into your projects, how to simplify the management of the various LLM prompts your application uses, and best practices to consider for production usage. Key Benefits of Amazon Bedrock Amazon Bedrock simplifies the initial integration of LLMs into any application by providing all the foundational capabilities needed to get started.

Relational DB Migration to S3 Data Lake Via AWS DMS, Part I

Aggregated on: 2025-02-07 17:35:24

AWS Database Migration Service is a cloud service that migrates relational databases, NoSQL databases, data warehouses, and all other types of data stores into AWS Cloud or between cloud and on-premises setups efficiently and securely. DMS supports several types of source and target databases such as Oracle, MS SQL Server, MySQL, Postgres SQL, Amazon Aurora, AWS RDS, Redshift, and S3, etc. Observations During the Data Migration We worked on designing and creating an AWS S3 data lake and data warehouse in AWS Redshift with the data sources from on-premises for Oracle, MS SQL Server, MySQL, Postgres SQL, and MongoDB for relational databases. We used AWS DMS for the initial full load and daily incremental data transfer from these sources into AWS S3.

A View on Understanding Non-Human Identities Governance

Aggregated on: 2025-02-07 16:05:24

Can an identity exist without being referenced by another identity? How would we know? That might seem a bit philosophical for a security tech article, but it is an important point to keep in mind when tackling the subject of non-human identities. A better question around security would actually be, "Should an identity exist if it can not be interacted with?" We might not be able to reach the answer to that first question, as proving the nature of reality is a little out of scope for computer science. However, a lot of folks have been hard at work building the NHI Governance tools to determine if a machine identity exists, why it exists, and answer the question of whether it should exist. The future of eliminating secrets sprawl means getting a handle on the lifecycles and interdependencies of the non-human identities that rely on secrets. But why now? Let's step back and re-examine some of our assumptions about NHIs and their existence.

Build an AI Browser Agent With LLMs, Playwright, Browser-Use

Aggregated on: 2025-02-07 15:20:24

Browser Use is a tool or platform designed to enable AI agents (such as OpenAI’s GPT models or other large language models) to interact with and control web browsers in an intelligent and automated way. It essentially bridges the gap between AI capabilities and real-world browser interactions, making it possible for AI systems to perform tasks like navigating websites, extracting data, filling out forms, clicking buttons, and more — just as a human user would. The primary goal of Browser Use is to make websites accessible and actionable for AI agents by abstracting away the complexities of browser automation. Instead of requiring developers to write intricate scripts to locate and interact with webpage elements, Browser Use simplifies this process by extracting all interactive elements (like buttons, input fields, links, etc.) and providing a structured interface for AI agents to interact with.

Control Your Services With OTEL, Jaeger, and Prometheus

Aggregated on: 2025-02-07 14:05:24

Let's discuss an important question: how do we monitor our services if something goes wrong? On the one hand, we have Prometheus with alerts and Kibana for dashboards and other helpful features. We also know how to gather logs — the ELK stack is our go-to solution. However, simple logging isn’t always enough: it doesn’t provide a holistic view of a request’s journey across the entire ecosystem of components.

Data Management With PostgreSQL Partitioning and pg_partman

Aggregated on: 2025-02-07 13:20:24

Efficient database management is vital for handling large datasets while maintaining optimal performance and ease of maintenance. Table partitioning in PostgreSQL is a robust method for logically dividing a large table into smaller, manageable pieces called partitions. This technique helps improve query performance, simplify maintenance tasks, and reduce storage costs. This article delves deeply into creating and managing table partitioning in PostgreSQL, focusing on the pg_partman extension for time-based and serial-based partitioning. The types of partitions supported in PostgreSQL are discussed in detail, along with real-world use cases and practical examples to illustrate their implementation.

Jackson vs Gson: Edge Cases in JSON Parsing for Java Apps

Aggregated on: 2025-02-07 12:05:24

JSON (Javascript Object Notation) is a collection of key-value pairs that can be easily parsed and generated by applications. It is a subset of JavaScript Programming Language Standard ECMA-262. The parsing of JSON is required in most applications, such as restful APIs or applications that need data serialization. In the Java ecosystem, the two most popular libraries for handling JSON data are Jackson and Gson. Both are used widely and offer unique advantages. This article uses edge-case examples to explore the features of both libraries on different parameters.

Exploring Operator, OpenAI’s New AI Agent

Aggregated on: 2025-02-06 22:20:24

Testing is a critical yet often time-consuming process. Ensuring that every feature, flow, and edge case works as intended can take up significant resources — both in terms of time and manpower. Manual testing, while thorough, is prone to human error and inefficiency, especially when dealing with repetitive tasks or complex workflows. OpenAI recently introduced an advanced AI agent that would enhance our approach to software testing. In this article, we’ll explore what Operator is, how it functions, and, most importantly, how it can drastically reduce manual testing time for developers and QA teams. We’ll also walk through some real-world examples to demonstrate its potential impact on testing various application flows and some potential limitations.

Chaos Engineering With Litmus: A CNCF Incubating Project

Aggregated on: 2025-02-06 21:35:24

Problem statement: Ensuring the resilience of a microservices-based e-commerce platform. System resilience stands as the key requirement for e-commerce platforms during scaling operations to keep services operational and deliver performance excellence to users. We have developed a microservices architecture platform that encounters sporadic system failures when faced with heavy traffic events. The problems with degraded service availability along with revenue impact occur mainly because of Kubernetes pod crashes along with resource exhaustion and network disruptions that hit during peak shopping seasons.

Community Over Code Keynotes Stress Open Source's Vital Role

Aggregated on: 2025-02-06 21:20:24

At the ASF's flagship Community Over Code North America conference in October 2024, keynote speakers underscored the vital role of open-source communities in driving innovation, enhancing security, and adapting to new challenges. By highlighting the Cybersecurity and Infrastructure Security Agency's (CISA) intensified focus on open source security, citing examples of open source-driven innovation, and reflecting on the ASF's 25-year journey, the keynotes showcased a thriving but rapidly changing ecosystem for open source.

Best Practices for Scaling Kafka-Based Workloads

Aggregated on: 2025-02-06 20:05:24

Apache Kafka is known for its ability to process a huge quantity of events in real time. However, to handle millions of events, we need to follow certain best practices while implementing both Kafka producer services and consumer services. Before start using Kafka in your projects, let's understand when to use Kafka:

How to Maximize the Azure Cosmos DB Availability

Aggregated on: 2025-02-06 18:50:24

Most of the e-commerce applications are zero-tolerant of any downtime. Any impact on application resources can impact the overall availability metrics of the site. Azure Cosmos database is one of the major NoSQL databases used across the industry. Though the Azure Cosmos itself provides 99.99% minimum availability for a single region without an availability zone, how do we further improve the database availability with the options available in the Azure Cosmos? Multi-Region Read and Write Single-region reads will impact the availability and will also lead to a single point of failure. So, read-heavy applications should at least have multi-region read enabled, though multi-region writes are not an option for an application. But, multi-region write provides a greater availability on both read and write-heavy applications.

How to Add Comments in Terraform Code

Aggregated on: 2025-02-06 15:35:24

In Terraform, comments are lines or sections of code that are ignored during execution but are useful for providing context, explanations, or notes within the code. They ensure team members can quickly grasp the purpose and functionality of configurations, reducing confusion and improving efficiency. In this article, we’ll cover the types of comments in Terraform, how to use them effectively, and best practices for writing clear, concise annotations.

React’s Unstoppable Rise: Why It’s Here to Stay

Aggregated on: 2025-02-06 14:20:24

React, introduced by Facebook (now Meta) in 2013, forever changed how developers build user interfaces. At that time, the front-end ecosystem already had heavyweights like AngularJS, Backbone.js, and jQuery, each solving specific needs. Yet React's approach — treating the UI as a function of state — stood out. Instead of manually orchestrating data and DOM updates, React lets developers describe how the UI should look given certain conditions. Then, using an internal mechanism called the Virtual DOM, it efficiently computed and applied the necessary changes. This innovation, along with React's component-based architecture and a massive community, catapulted it to the forefront of front-end development. Since its debut, React has evolved significantly. Version after version introduced incremental improvements, with major shifts like the Fiber rewrite, Hooks, Concurrent Mode previews, and upcoming Server Components. The result is a library that stays modern while preserving backward compatibility. In what follows, we'll explore the factors that made React dominant, how it overcame early criticisms, and why it's likely to remain the top UI library for years to come.

Implementing Exponential Backoff With Spring Retry

Aggregated on: 2025-02-06 13:20:24

Hi, engineers! Have you ever been asked to implement a retry algorithm for your Java code? Or maybe you saw something similar in the codebase of your project? Java = maxRetries) { System.out.println("Max retries attempt”); throw new RuntimeException("Unable to complete task after " + maxRetries + " attempts", e); } System.out.println("Retrying"); } } }" data-lang="text/x-java"> public void someActionWithRetries() { int maxRetries = 3; int attempt = 0; while (true) { attempt++; try { System.out.println("attempt number = " + attempt); performTask(); System.out.println("Task completed"); break; } catch (Exception e) { System.out.println("Failure: " + e.getMessage()); if (attempt >= maxRetries) { System.out.println("Max retries attempt”); throw new RuntimeException("Unable to complete task after " + maxRetries + " attempts", e); } System.out.println("Retrying"); } } }

Build a URL Shortener With Neon, Azure Serverless Functions

Aggregated on: 2025-02-06 12:20:24

Neon is now available on the Azure marketplace. The new integration between Neon and Azure allows you to manage your Neon subscription and billing through the Azure portal as if Neon were an Azure product. Azure serverless and Neon are a natural combination — Azure serverless frees you from managing your web server infrastructure. Neon does the same for databases, offering additional features like data branching and vector database extensions. That said, let's try out this new integration by building a URL shortener API with Neon, Azure serverless, and Node.js.

How Spring Boot Starters Integrate With Your Project

Aggregated on: 2025-02-05 22:20:24

When developers set up and integrate services, they often face challenges that can take up a lot of time. Starters help simplify this process by organizing code and making it easier to manage. Let's take a look at creating two starters, configuring their settings automatically, and using them in a service. So, what are Spring Boot Starters, exactly? What benefits do they provide?

The Role of DQ Checks in Data Pipelines

Aggregated on: 2025-02-05 21:20:23

Overview One of the key principles of writing a good data pipeline is ensuring accurate data is loaded into the target table. We have no control over the quality of the upstream data we read from, but we can have a few data quality (DQ) checks in our pipeline to ensure any bad data would be caught early on without letting it propagate downstream. DQ checks are critical in making sure the data that gets processed every day is reliable, and that downstream tables can query them safely. This will save a lot of time and resources, as we will be able to halt the data flow, giving us some time to do RCA and fix the issue rather than pass incorrect data.

Demystifying Sorting Assertions With AssertJ

Aggregated on: 2025-02-05 20:20:23

There are times when a new feature containing sorting is introduced. Obviously, we want to verify that the implemented sorting works correctly. AssertJ framework provides first-class support for such tasks. This article shows how to write such tests. In this article, you will learn the following:

Detecting Patterns in Event Streams With FlinkCEP

Aggregated on: 2025-02-05 19:20:23

We call this an event when a button is pressed; a sensor detects a temperature change, or a transaction flows through. An event is an action or state change that is important to an application. Event stream processing (ESP) refers to a method or technique to stream the data in real-time as it passes through a system. The main objective of ESP is to focus on the key goal of taking action on the data as it arrives. This enables real-time analytics and action, which is important in scenarios where low-latency response is a prerequisite, e.g., fraud detection, monitoring, and automated decision-making systems. Patterns play a big role in ESP as they help spot important sequences or behaviors in data that keep flowing non-stop.

How to Use AI With WordPress

Aggregated on: 2025-02-05 18:35:23

Artificial intelligence (AI) lets you manage WordPress in many ways, including generating AI content, creating images, improving SEO, and more. You can use AI to do the following:

Mastering the Transition: From Amazon EMR to EMR on EKS

Aggregated on: 2025-02-05 17:20:23

Amazon Elastic MapReduce (EMR) is a platform to process and analyze big data. Traditional EMR runs on a cluster of Amazon EC2 instances managed by AWS. This includes provisioning the infrastructure and handling tasks like scaling and monitoring. EMR on EKS integrates Amazon EMR with Amazon Elastic Kubernetes Service (EKS). It allows users the flexibility to run Spark workloads on a Kubernetes cluster. This brings a unified approach to manage and orchestrate both compute and storage resources.

Docker Performance Optimization: Real-World Strategies

Aggregated on: 2025-02-05 16:05:23

After optimizing containerized applications processing petabytes of data in fintech environments, I've learned that Docker performance isn't just about speed — it's about reliability, resource efficiency, and cost optimization. Let's dive into strategies that actually work in production. The Performance Journey: Common Scenarios and Solutions Scenario 1: The CPU-Hungry Container Have you ever seen your container CPU usage spike to 100% for no apparent reason? We can fix that with this code below:

AI Regulation in the U.S.: Navigating Post-EO 14110

Aggregated on: 2025-02-05 15:20:23

As the Trump administration revokes Executive Order 14110, the U.S. shifts toward a market-driven AI strategy, departing from the Biden administration’s regulatory framework. While proponents see this as a catalyst for innovation and economic growth, critics warn of increased risks, regulatory fragmentation, and strained transatlantic relations. With Europe reinforcing its AI Act and states like California exploring their own regulations, the future of AI governance in the U.S. remains uncertain. Will deregulation accelerate progress, or does it open the door to new challenges in ethics, security, and global cooperation? Just days after taking office, Donald Trump, the 47th President of the United States, issued a series of executive actions aimed at dismantling key initiatives from the Biden administration. Among them was the revocation of Executive Order (EO) 14110, a landmark policy that established a framework for AI governance and regulation.

Build A Stateless Microservice With GitHub Copilot in VSCode

Aggregated on: 2025-02-05 14:20:23

Microsoft CEO Satya Nadella recently announced that GitHub Copilot is now free for all developers in VSCode. This is a game-changer in the software development industry. Github Copilot is an AI code assistant that helps developers finish their coding tasks easily and quickly. It also helps suggest code snippets and autocomplete functions. In this article, we will learn how to use GitHub Copilot using VSCode in a step-by-step manner for creating the first stateless flask microservice. This is a beginner-friendly guide showcasing how Copilot helps reduce the development time and simplify the process.

Optimizing Front-End Performance

Aggregated on: 2025-02-05 13:35:23

This is especially important in the modern world of web development, where it can be challenging for a site to load in a reasonable amount of time. End customers experience delays when visiting slow-loading sites, higher bounce rates, and lost business prospects. It's to overcome this challenge that front-end performance has become the norm or optimization among developers. It entails optimizing relative to the performance standards of the user interface elements of a site. Through optimization methods, companies can present value propositions that engaged users will be able to navigate with minimal hiccups Lazy Loading: Efficient Content Delivery Lazy loading is a front-end optimization concept that loads front-end sources such as images, videos, iframes, and others on a website when the page is loaded. Lazy loading serves more content than the original page load; it loads only as much content as the user can see when the page is loaded. Other content is loaded on the page as the user scrolls down the page, thus making the process an Ajax function.

Shared vs Shielded Context: Testers and Devs Writing Tests Together

Aggregated on: 2025-02-05 12:20:23

How do you get testers and developers to cooperate on tests? If developers help out with tests at all — that's already a good start. But even then, there are differences in approach.

Keycloak and Docker Integration: A Step-by-Step Tutorial

Aggregated on: 2025-02-04 22:35:23

Keycloak is a powerful authentication and authorization solution that provides plenty of useful features, such as roles and subgroups, an advanced password policy, and single sign-on. It’s also very easy to integrate with other solutions. We’ve already shown you how to connect Keycloak to your Angular app, but there’s more you can do. For example, by integrating this technology with Cypress, you can enable the simulation of real-user login scenarios, including multi-factor authentication and social logins, ensuring that security protocols are correctly implemented and functioning as expected.

Teradata Performance and Skew Prevention Tips

Aggregated on: 2025-02-04 21:05:23

Understanding Teradata Data Distribution and Performance Optimization Teradata performance optimization and database tuning are crucial for modern enterprise data warehouses. Effective data distribution strategies and data placement mechanisms are key to maintaining fast query responses and system performance, especially when handling petabyte-scale data and real-time analytics. Understanding data distribution mechanisms, workload management, and data warehouse management directly affects query optimization, system throughput, and database performance optimization. These database management techniques enable organizations to enhance their data processing capabilities and maintain competitive advantages in enterprise data analytics.

Productivity and Organization Tips for Software Engineers

Aggregated on: 2025-02-04 20:20:23

I’ve been a software engineer for a little over a decade now, and I like to think I’m a pretty organized person. I have a system for everything, and these systems help my mind and my day run more smoothly. Organization isn’t something that comes naturally to everyone, so today, I thought I’d share some of my strategies that help me have a productive and fulfilling work day.

Leveraging Neo4j for Effective Identity Access Management

Aggregated on: 2025-02-04 19:20:23

A while ago, I explored Neo4j, a powerful graph database, earlier for the implementation of the "six degrees of separation" concept. I like the way it simplified the complexity of the relationship visually with the advantage of flexible schema representation. After some time, while exploring another use case in Identity Access Management (IAM) policies, I revisited Neo4j. I was amazed by the analytical capabilities it offered and the potential for building Generative AI applications using Neo4j’s GraphRAG.

A Guide to Automating AWS Infrastructure Deployment

Aggregated on: 2025-02-04 18:20:23

When it comes to managing infrastructure in the cloud, AWS provides several powerful tools that help automate the creation and management of resources. One of the most effective ways to handle deployments is through AWS CloudFormation. It allows you to define your infrastructure in a declarative way, making it easy to automate the provisioning of AWS services, including Elastic Beanstalk, serverless applications, EC2 instances, security groups, load balancers, and more.