News Aggregator

Snowflake and dbt Integration To Enable Advanced Analytics

Aggregated on: 2024-08-20 20:07:59

Data strategies have to be designed today for the modern business person to help in being flexible, growing, and running efficiently. Snowflake, powered by the Data Cloud, enables you to create data-intensive applications without thinking about the infrastructure that is going to manage it so the focus may rest on data and analytics. dbt is a workflow tool to help teams quickly and collaboratively write analytics code using some of the best practices from software engineering, such as modularity, portability, continuous integration, continuous deployment, and documentation. Anyone who knows SQL can use dbt to build high-quality data pipelines without needing to manage infrastructure.

OpenShift Data Foundation on IBM Cloud Using Terraform, Part 1: Deployment

Aggregated on: 2024-08-20 19:07:59

OpenShift Data Foundation (ODF) is a Software Defined Storage solution that manages and stores large amounts of data across multiple environments in a scalable, efficient, and secure manner. It provides a unified view of data from different sources, including databases, file systems, and cloud storage. With ODF, organizations can manage structured and unstructured data from multiple sources, and gain insights from it through analytics and machine learning enabling them to build a modern data infrastructure that is flexible, agile, and cost-effective. Under the hood, ODF utilizes Ceph as the underlying distributed storage system. Ceph stores the data and manages data replication and distribution across multiple nodes in the storage cluster, ensuring high availability and data redundancy. Rook, integrated with ODF as a storage orchestrator, automates the deployment and management of Ceph within the Kubernetes cluster. Rook handles tasks like data replication, scaling, and fault tolerance, relieving administrators from dealing with these complexities.

Mastering PUE for Unmatched Data Center Performance

Aggregated on: 2024-08-20 18:07:59

Data centers use a lot of electricity. Consequently, as they grow, it becomes all the more important to understand their energy use and take steps to reduce it. Learning to measure data center power usage effectiveness (PUE) is a crucial part of that goal. What Is Data Center Power Usage Effectiveness? As its name implies, PUE measures how efficiently a data center uses the energy it consumes. It represents this figure as a ratio between the facility’s total electrical usage and how much of it goes toward IT equipment. The more even the ratio, the better.

How Data Encryption Can Simplify Infrastructure Architecture

Aggregated on: 2024-08-20 17:07:59

Product and infrastructure engineering teams are not always aligned with the interests of security engineering teams. While product and infrastructure focus on driving business value and delivering practical solutions, security focuses on detection, prevention, and remediation, which can seem less immediately valuable. Like an insurance policy, it's not entirely obvious why it's worth the money or effort when there hasn't been an incident yet. Instead of the traditional cycle of identifying vulnerabilities, applying remediation, and following up through case management, I've found it much more effective to advocate for security solutions that also deliver business value. For example, using OAuth and IAM-based access instead of static keys and encryption instead of more granular access control can significantly simplify infrastructure, reduce complexity, and lessen the operational burden, making them very appealing to both product and platform engineering teams.

In-Depth Understanding of Vector Search for RAG and Generative AI Applications

Aggregated on: 2024-08-20 16:07:59

You might have used large language models like GPT-3.5, GPT-4o, or any of the other models, Mistral or Perplexity, and these large language models are awe-inspiring with what they can do and how much of a grasp they have of language. So, today I was chatting with an LLM, and I wanted to know about my company’s policy if I work from India instead of the UK. You can see I got a really generic answer, and then it asked me to consult my company directly.

Beyond Static Pipelines: Enhancing AI Agents With LlamaIndex

Aggregated on: 2024-08-20 15:22:59

Basic Retrieval-Augmented Generation (RAG) (opens new window)data pipelines often rely on hard-coded steps, following a predefined path every time they run. There is no real-time decision-making in these systems, and they do not dynamically adjust actions based on input data. This limitation can reduce flexibility and responsiveness in complex or changing environments, highlighting a major weakness in traditional RAG systems. LlamaIndex resolves this limitation by introducing agents(opens new window). Agents are a step beyond our query engines in that they can not only "read" from a static source of data, but can dynamically ingest and modify data from various tools. Powered by an LLM, these agents are designed to perform a series of actions to accomplish a specified task by choosing the most suitable tools from a provided set. These tools can be as simple as basic functions or as complex as comprehensive LlamaIndex query engines. They process user inputs or queries, make internal decisions on how to handle these inputs, and decide whether additional steps are necessary or if a final result can be delivered. This ability to perform automated reasoning and decision-making makes agents highly adaptable and efficient for complex data processing tasks.

Construct Azure Shared Access Signature URL To Download File From Azure Blob Storage

Aggregated on: 2024-08-20 14:22:59

In any web portal, to access a file stored in an Azure Blob Storage account container, we need to connect to the Azure Blob Storage Account and construct the download link for the specified file using its name and Azure storage account details. Constructed Azure Blob URLs can also be used to upload a file and delete a file from the web portal using Java code. A shared access signature (SAS) enables you to grant limited access to containers and blobs in your storage account. When you create a SAS, you specify its constraints, including which Azure Storage resources a client is allowed to access, what permissions they have on those resources, and how long the SAS is valid.

How To Change PDF Paper Sizes With an API in Java

Aggregated on: 2024-08-20 13:22:59

Almost every business around the world works with PDF documents daily in some capacity, and that alone establishes the value of leveraging niche technologies to automate unique PDF workflows. The purpose of this article is to demonstrate an efficient web API solution Java developers can use to quickly adjust PDFs between common ISO 216 A-Series paper sizes (A0 to A7). Before we get to our demonstration, however, we’ll first take a moment to understand the ISO 216 standard, and we’ll briefly review how PDF file structure handles page sizing to make programmatic adjustments possible.

How To Make a Picture-in-Picture Feature in iOS App Using AVFoundation

Aggregated on: 2024-08-19 23:07:59

AVFoundation works on Apple’s entire product line. With this framework, you can add recording, editing, and playback features to your apps. In this article, I will show how to place one video over another and thus enable a picture-in-picture (“duet”) mode – one of the most popular TikTok-like features. We are going to use only the native tools for this job. Building Blocks This is what we need for this task:

How To Decide Between Relational and Non-Relational Databases for the Project

Aggregated on: 2024-08-19 22:07:59

How do you approach data processing? What aspects are worth special consideration? Find the difference between relational vs non-relational databases to make informed decisions and learn how to choose a database regarding your project needs. What Is a Relational vs Non-Relational Database? That’s obviously the first question to address when choosing a database for your project. Knowing the difference between relational vs non-relational databases helps to be more specific with your requirements and leverage the right solutions.

Building Secure AI LLM APIs: A DevOps Approach To Preventing Data Breaches

Aggregated on: 2024-08-19 21:07:59

As artificial intelligence (AI) continues to evolve, Large Language Models (LLMs) have become increasingly prevalent in various industries, from healthcare to finance. However, with their growing use comes the critical responsibility of securing the APIs that allow these models to interact with external systems. A DevOps approach is crucial in designing and implementing secure APIs for AI LLMs, ensuring that sensitive data is protected against potential breaches. This article delves into the best practices for creating secure AI LLM APIs and explores the vital role of DevOps in preventing data breaches. Understanding the Importance of API Security in AI LLMs APIs are the backbone of modern software architecture, enabling seamless communication between different systems. When it comes to AI LLMs, these APIs facilitate the transfer of vast amounts of data, including potentially sensitive information. According to a report by Gartner, 90% of web applications will be more vulnerable to API attacks by 2024, highlighting the growing risk associated with poorly secured APIs.

Custom Elements Manifest: The Key To Seamless Web Component Discovery and Documentation

Aggregated on: 2024-08-19 20:07:59

Even though Web Components have been the talk of being a necessity for developers to create reusable and encapsulated UI components for web applications, in totality, developers can't embrace it entirely due to the issues around tooling and integration. This is where the Custom Elements Manifest (CEM) comes in: a JSON format that provides structured metadata for Web Components. CEM wishes to make it all simpler, from development to discovery, documentation, and integration within IDEs, making a much smoother developer experience. In this article, let's dig deep into how Custom Elements Manifest works, why it is a game-changer for the development of web components, and how it can power modern tools. We will also see various cases that elucidate how CEM helps enhance the experience for both developers and users.

Cloud Build Unleashed: Expert Techniques for CI/CD Optimization

Aggregated on: 2024-08-19 19:07:59

CI/CD and Its Importance We all know what CI/CD is and how it fosters a sense of collaboration among teams and enables them to deliver high-quality software efficiently and reliably. By automating the integration, testing, and deployment processes, CI/CD helps maintain code quality, reduce manual effort, and provide continuous feedback, ultimately leading to faster and more reliable software delivery. CI/CD is important for the following reasons:

Understanding PolyBase and External Stages: Making Informed Decisions for Data Querying

Aggregated on: 2024-08-19 18:07:59

In the realm of Big Data and AI, data lakes and lake houses play a vital role in bringing insights and advanced analytics. The ability of the lake house is measured effectively when it can query data from external sources like cloud storage. We have two popular methodologies for querying data from external sources:

Transformed Meets the Scrum Guide

Aggregated on: 2024-08-19 17:07:59

TL; DR: Transformed and Scrum Despite criticism from the product community regarding Scrum as a framework for effective product creation, namely Marty Cagan himself, I believe that it is worthwhile to compare the principles that help form successful product teams with those of Scrum. Let’s delve into an analysis of “Transformed” and how its principles align with Scrum’s. Matching Transformed’s Product Success Principles with Scrum Principles Last week, Paweł Huryn summarized the product success principles from Marty Cagan’s book Transformed. (Please find his post on LinkedIn and consider following him.) I took those principles and compared them step-by-step with the principles derived from the Scrum Guide.

Data Security Solution for US Federal Customers

Aggregated on: 2024-08-19 16:22:59

Federal agencies manage highly classified sensitive data, including personal information, medical records, and tax and income details of all U.S. residents. In some cases, temporary visitor data are also retained. They also handle national security information, including susceptible documents, intergovernmental communication details, and document decisions that could impact the safety of the country. The purpose of this article is to walk you through various regulations as a developer that you should know about while developing security software specifically for federal agencies. All government agencies in the U.S. are required to comply with strict data regulations specified in the Federal Information Security Management Act (FISMA) and the Federal Risk and Authorization Management Program (FedRAMP). Developers, who design and implement data security solutions for federal customers, should ensure that the solutions help address compliance requirements. Let’s explore these requirements in some detail.

Benchmarking OpenAI Models for Automated Error Resolution

Aggregated on: 2024-08-19 15:22:59

Large Language Models (LLMs) are increasingly shaping the future of software development, offering new possibilities in code generation, debugging, and error resolution. Recent advancements in these AI-driven tools have prompted a closer examination of their practical applications and potential impact on developer workflows. This article explores the effectiveness of LLMs in software development, with a particular focus on error resolution. Drawing from industry-wide observations and insights gained through my work with AI Error Resolution at Raygun, I’ll analyze LLMs’ current capabilities and their implications for the future of development practices. The discussion will weigh both the promising advancements and the challenges that arise as these technologies integrate into our daily work.

API Security: The Cornerstone of AI and LLM Protection

Aggregated on: 2024-08-19 14:22:59

As artificial intelligence and large language models (LLMs) continue to reshape the technological landscape, the importance of API security has never been more critical. In a recent interview at Black Hat 2024, Tyler Shields, Vice President of Product Marketing at Traceable, shed light on the evolving relationship between API security and AI/LLM applications. This article explores key insights for developers, engineers, and architects navigating this complex terrain. The Evolving Landscape of API Vulnerabilities With the rapid adoption of AI and LLM-driven applications, the API security landscape is undergoing significant changes. Shields highlights a "massive explosion of APIs" driven by several factors:

Knowledge Graphs: The Secret Weapon for Superior RAG Applications

Aggregated on: 2024-08-19 13:22:59

RAG and Its Importance Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm, blending the strengths of information retrieval and natural language generation. By leveraging large datasets to retrieve relevant information and generating coherent and contextually appropriate responses, RAG systems have the potential to revolutionize applications ranging from customer support to content creation. Challenges With RAG However, as powerful as RAG systems are, they face challenges, particularly in maintaining contextual accuracy and efficiently managing vast amounts of data.

React Server Components (RSC): The Future of React

Aggregated on: 2024-08-16 20:22:57

React Server Components (RSC) represent a paradigm shift in how React's applications are rendered in its 10th anniversary. RSCs were first introduced in late 2020, and the first stable version of this feature was launched in 2024 as part of React 19. Traditionally, React applications were run on the client. This meant the browser would download the JavaScript bundle containing all the code that's needed to run the application, and then render the application. Though this had some advantages, this approach caused slow initial loads and the need to fetch and process the data on the client made things even slower. With React Server Components, React can now run on the server without necessarily being sent to the client, fundamentally changing how React works at its core and how we use it to build applications. Server Side Rendering (SSR) In order to understand React Server Components (RSC), we need to first understand how Server Side Rendering (SSR) works. If you are already familiar with SSR feel free to skip this section. SSR is a web development technique that renders a web page on the server rather than in the browser.

What Is SQL Injection and How Can It Be Avoided?

Aggregated on: 2024-08-16 18:37:57

SQLi is one of the code injection techniques that may enable an attacker to modify the queries that the application provides to the database. By far the most frequent and severe web application security threats always hide in web applications that have some connections with a database. From such SQL injections, attackers can get around the login procedure, get, change, or even update the database, perform the administrative procedure, or do whichever variants. Understanding SQL Injection To be able to explain what SQL Injection is, one has to understand some basic principles of SQL. Indeed, it has become the common language of dealing with and virtual manipulation of these databases. It is employed in querying, inserting, updating, and erasing database records and is used by nearly all web applications to access their database; it is authored in PHP, Python, Java, PIA Utah VPN and . NET.

Aren’t We Transformed Yet? Why Digital Transformation Needs More Work

Aggregated on: 2024-08-16 17:22:57

Digital transformation remains a clear focus for many organizations, with proactive leaders seeing opportunities worth navigating the complexities of technology and process disruption. According to Kristy Ellmer, a managing director for Boston Consulting Group, “thirty percent of any given sector is in transformation at any given time. Companies that go into a transformation mindset when they’re in a place of strength will be more successful than if they do it reactively. And then how you execute it and move the organization behind it is what actually creates competitive advantage.”

Default Map Value

Aggregated on: 2024-08-16 15:37:57

In this post, I'll explain how to provide a default value when querying an absent key in a hash map in different programming languages. Java Let's start with Java, my first professional programming language.

The Relationship Between Performance and Security

Aggregated on: 2024-08-16 14:22:57

The software landscape has undergone a profound transformation over the past two decades. In the past, a substantial portion of software was designed for local desktop use. However, today, the norm for computer users is to access web-based software services through a web browser. With the prevalence of web-based software, the paradigm has changed. We, as users, have our data residing on someone else’s server. It mostly doesn’t matter how robust your computing device is, as everything happens on servers.

Why AI-Assisted Code Generation Is Transforming Software Development

Aggregated on: 2024-08-15 22:37:57

Software development and architecture is continuously evolving with artificial intelligence (AI). AI-assisted code generation stands out as a particularly revolutionary advancement, offering developers the ability to create high-quality code more efficiently and accurately than ever before. This innovation not only enhances productivity, but also opens the door to new possibilities in software creation, particularly in the realm of microservices development. The Evolution of Code Generation: Traditional Coding vs. AI-Assisted Coding Traditional coding requires developers to write and test extensive lines of code manually. This process is time consuming and prone to errors. Conversely, AI-assisted code generation leverages machine learning algorithms to analyze patterns in existing codebases, understands programming logic, and generates code snippets or entire programs based on specific requirements. This technology can drastically reduce the time spent on repetitive coding tasks and minimize human errors. It is not a substitute for developers, but rather a productivity tool that eliminates tedious and monotonous infrastructure and plumbing code.

Tour of Snowflake Ingestion Using CockroachDB and Redpanda Connect

Aggregated on: 2024-08-15 20:22:57

Previous Articles on Snowflake Integrating Snowflake with Trino Previous Articles on CockroachDB CDC Using CockroachDB CDC with Apache Pulsar Using CockroachDB CDC with Azure Event Hubs SaaS Galore: Integrating CockroachDB with Confluent Kafka, FiveTran, and Snowflake Using CockroachDB CDC with Confluent Cloud Kafka and Schema Registry CockroachDB CDC using Minio as cloud storage sink CockroachDB CDC using Hadoop Ozone S3 Gateway as cloud storage sink Motivation I work with financial services clients, and it's common to encounter a need for streaming changes in the operational data store into a data warehouse or a data lake. A former colleague recently reached out for advice on the fastest and most efficient way to load trade data into Snowflake. I've come up with at least three methods, which I will explore in a follow-up series of articles. However, I've decided to first explore Redpanda Connect, a solution that has recently caught my attention. This is by no means a conclusive guide on how changefeed data must be loaded into Snowflake; we're merely exploring the possibilities and discussing the pros and cons in later articles. CockroachDB changefeeds are an enterprise feature and require a license. In this tutorial, I'm using a free-to-start version of CockroachDB Serverless, which has enterprise changefeeds enabled.

Unboxing the Black Box

Aggregated on: 2024-08-15 18:37:57

Today, several significant and safety-critical decisions are being made by deep neural networks. These include driving decisions in autonomous vehicles, diagnosing diseases, and operating robots in manufacturing and construction. In all such cases, scientists and engineers claim that these models help make better decisions than humans and hence, help save lives. However, how these networks reach their decisions is often a mystery, for not just their users, but also for their developers. These changing times, thus, necessitate that as engineers we spend more time unboxing these black boxes so that we can identify the biases and weaknesses of the models that we build. This may also allow us to identify which part of the input is most critical for the model and hence, ensure its correctness. Finally, explaining how models make their decisions will not only build trust between AI products and their consumers but also help meet the diverse and evolving regulatory requirements.

A Hands-On Guide to OpenTelemetry: Visualizing Instrumentation for Developers Using Jaeger

Aggregated on: 2024-08-15 17:22:57

Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation! In this series, you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series, you'll have an understanding of how telemetry travels from your applications to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.

Revolutionizing Billing Processes With AI: Enhancing Efficiency and Accuracy

Aggregated on: 2024-08-15 15:37:57

The market for software as a service (SaaS) has expanded at an extraordinary pace and given businesses access to scalable solutions. However, one major difficulty still stands in its way: generating and collecting revenue efficiently and accurately. Traditional billing systems often prove inadequate leading to inefficiencies and inaccuracies. This blog post examines the integration of AI into SaaS pricing methods, with a focus on improving efficiency and effectiveness by highlighting data analysts, data scientists, data product managers, and data-driven software professionals. The Role of AI in Modern Billing Systems Artificial Intelligence (AI) is changing the face of Saas business by addressing many challenges related to traditional billing systems. Fundamental technologies like machine learning (ML), predictive analytics, or automation simplify billing processes and make them more accurate.

Large Language Models: Changing the Game in Software Development With Code Generation, Debugging, and CI/CD Integration

Aggregated on: 2024-08-15 14:22:57

With AI, the domain of software development is experiencing a breakthrough phase with the continuous integration of state-of-the-art Large Language Models like GPT-4 and Claude Opus. These models extend beyond the role of traditional developer tools to directly assist developers in translating verbal instructions into executable code across a variety of programming languages, which speeds up the process of coding. Code Generation Enhancing Developer Productivity LLMs understand context and generate best-practice pieces of code, making them very good at enhancing the productivity of developers and their future research. They work as a developer on-call assistant, offering insight and alternatives that may even elude more experienced programmers. Such a role gains a lot of importance in large and complex projects where the integration of different software modules might introduce subtle, sometimes undetectable bugs.

Data Pipeline vs. ETL Pipeline

Aggregated on: 2024-08-15 13:22:57

In today's world, data is a key success factor for many information systems. To exploit data, it needs to be moved and collected from many different locations, using many different technologies and tools. It is important to understand the difference between a data pipeline and an ETL pipeline. While both are designed to move data from one place to another, they serve different purposes and are optimized for different tasks. The comparison table below highlights the key differences:

Essential Guidelines for Building Optimized ETL Data Pipelines in the Cloud With Azure Data Factory

Aggregated on: 2024-08-14 22:22:56

When building ETL data pipelines using Azure Data Factory (ADF) to process huge amounts of data from different sources, you may often run into performance and design-related challenges. This article will serve as a guide in building high-performance ETL pipelines that are both efficient and scalable. Below are the major guidelines to consider when building optimized ETL data pipelines in ADF:

Safeguarding Democracy in the Digital Age: Insights from Day 1 at Black Hat 2024 and Las Vegas Officials

Aggregated on: 2024-08-14 21:22:56

In an era where technology and geopolitics intersect more than ever before, the importance of cybersecurity in maintaining democratic processes cannot be overstated. At Black Hat 2024, global leaders and local officials converged to discuss the challenges and strategies for protecting elections, critical infrastructure, and the very foundations of democracy. This article delves into the insights shared at the conference, offering developers, engineers, and architects a comprehensive view of the cybersecurity landscape and its implications for democratic societies. The Changing Landscape of Global Threats Jeff Moss, founder of Black Hat, set the stage by highlighting the rapid evolution of the threat landscape. "Things are different now," Moss observed. "Things have sped up. You have all the routine problems and a giant bucket of other problems, you have all these risks you didn't think about."

Advance Traffic Management in Canary Using Istio, Argo Rollouts, and HPA

Aggregated on: 2024-08-14 20:22:56

As enterprises mature in their CI/CD journey, they tend to ship code faster, safely, and securely. One essential strategy the DevOps team applies is releasing code progressively to production, also known as canary deployment. Canary deployment is a bulletproof mechanism that safely releases application changes and provides flexibility for business experiments. It can be implemented using open-source software like Argo Rollouts and Flagger. However, advanced DevOps teams want to gain granular control over their traffic and pod scaling while performing canary deployment to reduce overall costs. Many enterprises achieve advanced traffic management of canary deployment at scale using open-source Istio service mesh. We want to share our knowledge with the DevOps community through this blog. Before we get started, let us discuss the canary architecture implemented by Argo Rollouts and Istio.

Chat With Your Code: Conversational AI That Understands Your Codebase

Aggregated on: 2024-08-14 19:22:56

Imagine having a tool that understands your code and can answer your questions, provide insights, and even help debug issues — all through natural language queries. In this article, we’ll walk you through the process of creating a conversational AI that allows you to talk to your code using Chainlit, Qdrant, and OpenAI. Benefits of Conversational AI for Codebases Streamlined code review: Quickly review specific code modules and understand their context without spending time digging through the files. Efficient debugging: Ask questions about potential issues in the code and get targeted responses, which helps reduce the time spent on troubleshooting. Enhanced learning: New team members can learn about how different components in the code work without having to pair with existing experts in the code. Improved documentation: Summarizing using AI would help generate explanations for complex code, making it easier to enhance documentation. Now let us look at how we made that happen.

Exploring JSON Schema for Form Validation in Web Components

Aggregated on: 2024-08-14 18:22:56

In the realm of modern web development, ensuring data integrity and user experience is paramount. JSON Schema has emerged as a powerful tool for validating the structure of JSON data, providing developers with a standardized approach to data validation, documentation, and extensibility. When combined with Web Components, JSON Schema becomes an even more potent solution for form validation, offering a modular, reusable, and maintainable approach to UI development. This blog post will walk you through the process of integrating JSON Schema validation into a custom Web Component, using a contact form as our example.

Unlocking the Potential of Synthetic Data for AI Development

Aggregated on: 2024-08-14 17:22:56

Data is the bane of existence for AI models, and the accuracy and effectiveness of the AI systems significantly depend upon the completeness of the data used during the training. Although real data undoubtedly makes AI systems more effective, there are certain challenges, as the real data can be imbalanced, biased, or incomplete. Hence, to cope with the shortages in real data, data scientists have to source synthetic data. Synthetic data is considerably more inexpensive than real data, but there are still some challenges, like ensuring demographic diversity, reliability, and sufficient volume accumulation, which data scientists must mitigate.

Creating Effective Exceptions in Java Code [Video]

Aggregated on: 2024-08-14 16:22:56

This article will explore the critical topic of creating effective exceptions in your Java code. Exceptions are crucial in identifying when something goes wrong during code execution. They are instrumental in managing data inconsistency and business validation errors. We will outline three key steps for writing effective exceptions in your Java code. Writing and Defining an Exception Hierarchy Creating a Trackable Exception Message Avoiding Security Problems with Exceptions 1. Writing and Defining an Exception Hierarchy Define the exception hierarchy as the first step in your design process. By considering the domain, you can begin with more general exceptions and then move towards more specific ones. This approach enables you to trace issues using the hierarchy tree or exception names.

Top 10 C# Keywords and Features

Aggregated on: 2024-08-14 15:22:56

The language C# stands out as the top 5th programming language in a Stack Overflow survey. It is widely used for creating various applications, ranging from desktop to mobile to cloud native. With so many language keywords and features it will be taxing to developers to keep up to date with new feature releases. This article delves into the top 10 C# keywords every C# developer should know. 1. Async and Await Keywords: async, await The introduction of async and await keywords in C# make it easy to handle asynchronous programming in C#. They allow you to write code that performs operations without blocking the main thread. This capability is particularly useful for tasks that are I/O-bound or CPU-intensive. By making use of these keywords, programmers can easily handle long-running compute operations like invoking external APIs to get data or writing or reading from a network drive. This will help in developing responsive applications and can handle concurrent operations.

Integrate Spring With Open AI

Aggregated on: 2024-08-14 14:22:56

In this article, I will discuss in a practical and objective way the integration of the Spring framework with the resources of the OpenAI API, one of the main artificial intelligence products on the market. The use of artificial intelligence resources is becoming increasingly necessary in several products, and therefore, presenting its application in a Java solution through the Spring framework allows a huge number of projects currently in production to benefit from this resource.

Enhance Your Communication Strategy: Deliver Multimedia Messages With AWS Pinpoint

Aggregated on: 2024-08-14 13:22:56

In today's digital world, email is the go-to channel for effective communication, with attachments containing flyers, images, PDF documents, etc. However, there could be business requirements for building a service for sending an SMS with an attachment as an MMS (Multimedia Messaging Service). This article delves into how to send multiple media messages (MMS), their limitations, and implementation details using the AWS Pinpoint cloud service. Setting Up AWS Pinpoint Service Setting Up Phone Pool In the AWS console, we navigate to AWS End User Messaging and set up the Phone pool. The phone pool comprises the phone numbers from which we will send the message; these are the numbers from which the end user will receive the MMS message.

Virtual Clusters: The Key to Taming Cloud Costs in the Kubernetes Era

Aggregated on: 2024-08-13 22:22:56

The economic volatility in the tech industry has most enterprises looking at their cloud bills and searching for deterministic ways to drive down costs. One of the interesting layers of that consideration is the cloud architecture itself. The following is an interview with Loft Labs CEO Lukas Gentele - the creator of the vCluster open-source project - to learn more about how virtualizing clusters is giving developers and platform teams productive new ways to right-size cloud resource utilization. Interview Question 1 What’s different about the cloud cost outlook today, from recent years - from your point of view?

Navigation From Adobe Reader With Konva.js

Aggregated on: 2024-08-13 21:22:56

In one of the popular PDF viewers, Acrobat Reader, there is a tool called the "Hand Tool." It allows you to navigate through the document by dragging and dropping while holding down the mouse button. You can activate the "Hand Tool" by clicking the corresponding button on the toolbar. “Hand Tool” button in Acrobat Reader

Our Shift From Cypress to Playwright in Testing

Aggregated on: 2024-08-13 20:22:56

In our post about extensive-react-boilerplate updates, we mentioned that we migrated e2e-testing from Cypress to Playwright. Now, let's delve a little deeper into this change. At the time of writing the automated tests, we had a small amount of functionality to cover and didn't face significant limitations when using Cypress. Yet, we decided to turn our attention to Playwright for several reasons. We wanted to explore the framework created by Microsoft and understand why it is gaining popularity. Additionally, similar to the case when we added MongoDB support, we received requests from the community and colleagues who wanted to start a project based on boilerplate with Playwright tests.

Secrets Management Core Practices

Aggregated on: 2024-08-13 19:37:56

Secrets management plays a pivotal role in any modern security environment, and its importance continues to be highlighted as time and time again, we witness security breaches across industries, even occurrences directly caused by the improper safeguarding or mishandling of secrets. In this Refcard, readers will learn about the core practices for a centralized secrets management strategy — from initial steps in creating a single source of truth to key measures for secrets injection, automation, compliance, monitoring, and more.

Why and How We Built a Primary-Replica Architecture of ClickHouse

Aggregated on: 2024-08-13 19:22:56

Our company uses artificial intelligence (AI) and machine learning to streamline the comparison and purchasing process for car insurance and car loans. As our data grew, we had problems with AWS Redshift which was slow and expensive. Changing to ClickHouse made our query performance faster and greatly cut our costs. But this also caused storage challenges like disk failures and data recovery. To avoid extensive maintenance, we adopted JuiceFS, a distributed file system with high performance. We innovatively use its snapshot feature to implement a primary-replica architecture for ClickHouse. This architecture ensures high availability and stability of the data while significantly enhancing system performance and data recovery capabilities. Over more than a year, it has operated without downtime and replication errors, delivering expected performance.

Building a Twilio Softphone With JavaScript, HTML, and Flask

Aggregated on: 2024-08-13 18:22:56

Being able to dial and receive calls right in our web browser has a huge value proposition today given the digital era we find ourselves living in. Whether you're creating a customer service dashboard or simply trying to add voice communication to your application, building a softphone is an excellent example of leveraging modern web technologies. In this article, I will show you how to build a softphone using Twilio with just plain JavaScript and HTML that has some amazing features, but writing less code by replacing it with existing methods available. Prerequisites First things first, make sure you have the following:

What Does It Take to Manage an On-Premise vs Cloud Data Security Product?

Aggregated on: 2024-08-13 17:22:56

Before we ponder this question, let’s first understand the major differences between an on-premise and a cloud data security product. An on-premise data security product means the management console is on the enterprise customer’s premises, whereas the security vendor hosts a cloud data security product in the cloud. Security vendors aid customers by providing clear guidance on installing and maintaining an on-premise solution. Customers are responsible for the hardware, OS, and product configuration to protect against threats and sensitive data leaks. The security vendors manage cloud solutions, and enterprise customers must configure the product to meet their needs. You might ask, "Why would an enterprise customer take on the burden of managing the installation and maintenance of the product, given that configuring and making it work already poses a significant toll on them?" Great question! Not all enterprise customers are comfortable having their data stored in the cloud along with other customers (typically, this happens in a multi-tenant cloud deployment). You might wonder why not opt for a private cloud. Of course, they can opt for a private cloud, nevertheless, the data is not entirely under their control. Security vendors manage the account and the data.

Avoiding Prompt-Lock: Why Simply Swapping LLMs Can Lead to Failure

Aggregated on: 2024-08-13 16:22:56

The mantra in the world of generative AI models today is "the latest is the greatest," but that’s far from the case. We are lured (and spoiled) by choice with new models popping up left and right. Good problem to have? Maybe, but it comes with a big opportunity: model fatigue. There’s an issue that has the potential to wreak havoc on your ML initiatives: prompt lock-in. Models today are so accessible that at the click of a button, anyone can virtually begin prototyping by pulling models from a repository like HuggingFace. Sounds too good to be true? That’s because it is. There are dependencies baked into models that can break your project. The prompt you perfected for GPT-3.5 will likely not work as expected in another model, even one with comparable benchmarks or from the same “model family.” Each model has its own nuances, and prompts must be tailored to these specificities to get the desired results.

Building Product To Learn AI, Part 2: Shake and Bake

Aggregated on: 2024-08-13 15:22:56

If you haven't already, be sure to review Part 1 where we reviewed data collection and prepared a dataset for our model to train on. In the previous section, we gathered the crucial "ingredients" for our AI creation — the data. This forms the foundation of our model. Remember, the quality of the ingredients (your data) directly impacts the quality of the final dish (your model's performance).