News Aggregator

The Beginner’s Guide To Create Amazon EC2 Instances

Aggregated on: 2024-06-03 20:05:55

So, you decided to start using AWS as your cloud provider. Well, there are a lot of services that can be used on the go, but one of the most basic and probably the most common is Amazon EC2. In this blog, you will see the basic concepts, and we’ll tell you step-by-step how to create EC2 instances. What Is Amazon EC2 EC2 (Elastic Cloud Compute) is the service where you can create servers (from now on I’m going to call them instances since it’s the name used inside AWS) to launch your websites or applications.

Parsing Structured Environment Variables in Rust

Aggregated on: 2024-06-03 20:05:55

I'm in the process of adding more components to my OpenTelemetry demo (again!). The new design deploys several warehouse services behind the inventory service so the latter can query the former for data via their respective HTTP interface. I implemented each warehouse on top of a different technology stack. This way, I can show OpenTelemetry traces across several stacks. Anyone should be able to add a warehouse in their favorite tech stack if it returns the correct JSON payload to the inventory. For this, I want to make the configuration of the inventory "easy"; add a new warehouse with a simple environment variable pair, i.e., the endpoint and its optional country.

Ollama + SingleStore - LangChain = :-(

Aggregated on: 2024-06-03 20:05:55

In a previous article, we used Ollama with LangChain and SingleStore. LangChain provided an efficient and compact solution for integrating Ollama with SingleStore. However, what if we were to remove LangChain? In this article, we’ll demonstrate an example of using Ollama with SingleStore without relying on LangChain. We’ll see that while we can achieve the same results described in the previous article, the number of code increases, requiring us to manage more of the plumbing that LangChain normally handles. The notebook file used in this article is available on GitHub.

Boosting Development Efficiency With the Specification-First Principle

Aggregated on: 2024-06-03 20:05:55

Innovation and increased productivity play crucial roles in software development. One method to achieve this goal is applying the Specification-First approach, which structures and manages the development process. This article explores the concept of Specification-First, its significance for development teams, and the advantages it brings in testing and integration. Specification-First is a software development methodology based on the principle that product requirements specification should be developed and approved before the active coding phase begins. This enables the establishment of clear project goals and parameters from the outset, fostering a more structured and predictable development process. This methodology helps to avoid misunderstandings between clients and developers and minimizes the risks of requirement changes in later stages of development.

Snowflake Data Sharing Capabilities

Aggregated on: 2024-06-03 20:05:55

Data drives business in the modern economy; the faster businesses can get to data and provide meaningful insights, the more they can enable informed decision-making. Snowflake has come a long way in this space in recent years, and the progress is impressive. Snowflake is also being increasingly adopted by several firms, as it is well known for its large dataset processing and computing power. It provides scalability, affordability, security, ease of use, customization, and easy data integration. In addition, Snowflake provides a host of specialized services, like Snowflake Arctic, Snowflake for Big Data, Snowflake Data Sharing, and Snow Pipe, as required depending on the use case. They bring a powerful weapon to the table for all enterprises striving to cash in on strategic data utilization. In this paper, I will explore how data sharing works in Snowflake. Data sharing is the process of making data available to multiple users, applications, or organizations while maintaining its quality. Organizations often need to share data with customers, suppliers, and partners, but they face significant challenges such as poor governance, outdated solutions, manual data transfers, and being tied to specific vendors. To become truly data-driven, organizations need an improved method for sharing data. Snowflake offers a modern solution to these challenges, enabling seamless and secure data sharing.

How To Optimize AG Grid Performance With React

Aggregated on: 2024-06-03 20:05:55

AG Grid is a feature-rich JavaScript library primarily used to build robust data tables in web applications. It’s used by almost 90% of Fortune 500 companies and it’s especially useful in Business Intelligence (BI) applications and FinTech applications. React is the market leader of JavaScript libraries to build enterprise web and mobile applications. It is widely adopted by major companies and boasts a large community.

Optimal CX With Hidden Prompts: The Secret Sauce of Prompt Engineering for LLMs

Aggregated on: 2024-06-03 20:05:55

In the fast-moving field of Generative AI in Artificial Intelligence, particularly with the advent of large language models (LLMs) such as GPT-4, prompt engineering has become a crucial aspect of delivering the desired customer experience (CX). One of the most effective yet often overlooked techniques in prompt engineering is the use of hidden prompts, also known as system prompts. These hidden prompts play a crucial role in guiding the model's output, ensuring efficiency, consistency, context awareness, and alignment with the intended user experience. What Are Hidden Prompts? Hidden prompts are predefined instructions embedded within the interaction setup of an LLM. Unlike user-visible prompts, these instructions are not shown to the end-user but are crucial in shaping how the model governs, interprets, and responds to the user's requested inputs. Hidden prompts help set the stage, establish context, define the constraints with which the LLM functions, and also role play to adapt to domains and use cases.

How To Manage Redis Cluster Topology With Command Line

Aggregated on: 2024-06-03 20:05:55

Manual intervention is often necessary to understand and manage the current topology of a Redis cluster. This article covers essential commands for interacting with and managing the Redis cluster, along with retrieving its state information. CLUSTER INFO This command gives you an overview of your Redis cluster, including details about key distribution, participating nodes, cluster size, and message statistics.

Observations on Cloud-Native Observability: A Journey From the Foundations of Observability to Surviving Its Challenges at Scale

Aggregated on: 2024-06-03 20:05:55

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Cloud Native: Championing Cloud Development Across the SDLC. Cloud native and observability are an integral part of developer lives. Understanding their responsibilities within observability at scale helps developers tackle the challenges they are facing on a daily basis. There is more to observability than just collecting and storing data, and developers are essential to surviving these challenges.

Logical Replication Features in PG-17

Aggregated on: 2024-06-03 20:05:55

About a year ago, I blogged about logical replication improvements in PostgreSQL version 16. PostgreSQL 16 was a really good release for logical replication improvements, with performance-critical features like parallel apply, providing replication origin for supporting bi-directional replication, and allowing a standby server to be a publisher. Please refer to the old blog post for more details on version 16 replication-related features. PostgreSQL 17 also includes a number of significant improvements for logical replication. The enhancements are geared towards improving the usability of logical replication and meeting high-availability (HA) requirements. In this blog we are going to discuss some of the key logical replication features added to PostgreSQL 17; we won’t be covering all the new features in this blog so there will likely be more than one blog in this series.

The Future of Kubernetes: Potential Improvements Through Generative AI

Aggregated on: 2024-03-25 16:42:24

Kubernetes, the open-source platform for automating deployment, scaling, and management of containerized applications, has revolutionized the IT industry. However, like all innovative technology, it continuously seeks enhancements to improve efficiency, usability, and functionality. One such area promising potential improvements is Generative AI. This sophisticated technology can generate new data that shares the same characteristics as the original data, such as images, music, text, or code. As we delve into the possibilities, we realize the potential improvements in Kubernetes as part of Generative AI. How Can Generative AI Enhance Kubernetes? 1. Automated Configuration and Deployment Generative AI can automate the configuration and deployment of applications in Kubernetes. By learning from historical deployment patterns and configurations, generative models can predict the optimum configuration for a new application. Generative AI can also help to scale applications automatically based on traffic patterns, reducing the need for manual intervention.

Retrieval-Augmented Generation: A More Reliable Approach

Aggregated on: 2024-03-25 15:42:24

In the rapidly changing world of artificial intelligence, it has evolved far more than just predictions based on data analysis. It is now emerging with limitless potential for generating creative content and problem-solving models. With generative AI models such as ChatGPT in place, chatbots are presenting improvements in language recognition abilities. According to the Market Research Report, the global Generative AI market is poised for exponential growth, expected to surge from USD 8.65 billion in 2022 to USD 188.62 billion by 2032, with a staggering CAGR of 36.10% during the forecast period of 2023-2032. The dominance of the North American region in the market in 2022 underscores the widespread adoption and recognition of the potential of Generative AI. Why Is RAG Important? Every industry hopes to evolve AI implementation, such as Generative AI, which can exploit big data to bring meaningful insights and solutions or provide more customization and automation to capitalize on AI potential. However, Generative AI leveraging neural network architectures and large language models (LLMs) helps businesses to improve with the limitation of producing content or analysis that may be factually wrong given the scope of data fed to the developed model, also known as “hallucinations” or providing outdated information.

C4 PlantUML: Effortless Software Documentation

Aggregated on: 2024-03-25 14:42:24

Documentation plays a crucial role in any project, serving as a compass for development teams, and as a good way for the new joiners to know how the project is done. More often than not, documentation becomes a task that is either indefinitely postponed or completed once and never updated, leaving it outdated and potentially counterproductive. An effective strategy for developers is to leverage a tool seamlessly integrated into their IDE. This eliminates friction caused by the need to switch between different tools, ensuring convenience, ease of use, and the ability to effortlessly update documentation. An excellent way to approach it is with C4 PlantUML — a powerful tool that allows developers to generate comprehensive system architecture documentation with just a few lines of code, making the documentation process not only efficient but also an integral part of the development workflow.

I Built My First Go Application and Deployed It to Heroku

Aggregated on: 2024-03-25 12:42:23

Go (aka Golang) came to life at Google in 2009. It was designed by a few big names: Robert Griesemer, who had a large hand in the development of the Java Virtual Machine. Rob Pike, who holds the U.S. patent for windowing UI systems as well as helped build the Plan 9 operating system at Bell Labs. (In fact, the mascots for Plan 9 and for Golang are remarkably similar because Pike’s wife, Renée French, is a renowned illustrator.) Ken Thompson, who designed and implemented a little thing called Unix. In this article, we’ll demonstrate how simple it is to build a RESTful web service in Go. Then, we’ll demonstrate how to deploy this application with Heroku. But before we embark on this journey, let’s talk briefly about why you might want to use Go.

Distributed Caching: Enhancing Performance in Modern Applications

Aggregated on: 2024-03-25 11:57:23

In an era where instant access to data is not just a luxury but a necessity, distributed caching has emerged as a pivotal technology in optimizing application performance. With the exponential growth of data and the demand for real-time processing, traditional methods of data storage and retrieval are proving inadequate. This is where distributed caching comes into play, offering a scalable, efficient, and faster way of handling data across various networked resources. Understanding Distributed Caching What Is Distributed Caching? Distributed caching refers to a method where information is stored across multiple servers, typically spread across various geographical locations. This approach ensures that data is closer to the user, reducing access time significantly compared to centralized databases. The primary goal of distributed caching is to enhance speed and reduce the load on primary data stores, thereby improving application performance and user experience.

Exploring the Frontiers of AI: The Emergence of LLM-4 Architectures

Aggregated on: 2024-03-23 00:12:22

The relentless advancement of artificial intelligence (AI) technology reshapes our world, with Large Language Models (LLMs) spearheading this transformation. The emergence of the LLM-4 architecture signifies a pivotal moment in AI development, heralding new capabilities in language processing that challenge the boundaries between human and machine intelligence. This article provides a comprehensive exploration of LLM-4 architectures, detailing their innovations, applications, and broader implications for society and technology. Unveiling LLM-4 Architectures LLM-4 architectures represent the cutting edge in the evolution of large language models, building upon their predecessors' foundations to achieve new levels of performance and versatility. These models excel in interpreting and generating human language, driven by enhancements in their design and training methodologies.

Organizing Knowledge With Knowledge Graphs: Industry Trends

Aggregated on: 2024-03-22 23:12:22

Knowledge graphs are a giant web of information where elements and ideas are linked to show how they are related in the real world. This is beyond databases that just store information. Knowledge graphs also store the connections between information. This makes knowledge graphs very useful in various fields. Here are a few examples:

Empowering Developers With Scalable, Secure, and Customizable Storage Solutions

Aggregated on: 2024-03-22 22:12:22

In today's data-driven world, businesses face numerous challenges when it comes to storing, securing, and analyzing vast amounts of information. As a developer, engineer, or architect, finding the right storage solution that seamlessly integrates with your infrastructure while providing the necessary scalability, security, and performance can be a daunting task. Enter StoneFly, a leading provider of storage area network (SAN) and network-attached storage (NAS) solutions that aim to simplify your life and tackle complex business problems head-on. The 54th IT Press Tour had an opportunity to meet with Stonefly on a recent visit to Silicon Valley. Here's what we learned. Scalability and Flexibility One of the key strengths of StoneFly's offerings is its exceptional scalability. Whether you're a small startup or a large enterprise, StoneFly's storage solutions can grow with your business. Starting with a single node, you can easily expand your storage capacity up to 128 nodes, accommodating anywhere from 20TB to a staggering 200PB of data. This flexibility allows you to start small and scale as your needs evolve, eliminating the need for costly upfront investments in storage infrastructure.

Ethical Considerations in AI Development

Aggregated on: 2024-03-22 21:12:22

Artificial Intelligence (AI) has rapidly evolved, empowering us with remarkable capabilities, from predictive analytics to autonomous systems. However, this technological leap also brings forth ethical dilemmas and challenges. As AI development becomes deeply integrated into various aspects of our lives, navigating its development with a keen awareness of ethical considerations is crucial. This article explores the multifaceted ethical considerations in AI development, highlighting the need for responsible and ethical AI deployment. Ethical Considerations in AI Development Bias and Fairness One of the foremost concerns in AI is bias. AI systems learn from historical data, and if this data contains biases, the AI can perpetuate and even amplify those biases. Developers must diligently address biases in datasets and algorithms to ensure fairness, especially in sensitive areas like hiring, lending, and criminal justice.

A Deep Dive Into CDC With Azure Data Factory

Aggregated on: 2024-03-22 20:12:22

Change Data Capture (CDC) in SQL Server is a powerful feature designed to track and capture changes made to data within a database. It provides a reliable and efficient way to identify alterations to tables, allowing for the extraction of valuable insights into data modifications over time. By enabling CDC with Azure Data Factory, SQL Server enables a systematic and automated approach to monitoring and capturing changes, facilitating better data management, auditing, and analysis within the database environment. Most Common Use-Cases: CDC With Azure Data Factory Common scenarios where the CDC with Azure Data Factory proves beneficial include:

Automated Data Extraction Using ChatGPT AI: Benefits, Examples

Aggregated on: 2024-03-22 19:12:22

Since the release of ChatGPT by OpenAI in 2022, most people in nearly all industries have tried a generative AI tool at least once. The market size for Generative AI is expected to show a CAGR of 24.40%, resulting in a market volume of US $207 billion by 2030. The technology can be useful in multiple ways. One such is extracting data from documents with OpenAI. Read this post to discover applications and use cases of ChatGPT-based AI to extract data from documents, the challenges and limitations of the technology, and its prospects.

Improved Debuggability for Couchbase's SQL++ User-Defined Functions

Aggregated on: 2024-03-22 18:12:22

User-defined functions (UDFs) are a very useful feature supported in SQL++ (UDF documentation). Couchbase 7.6 introduces improvements that allow for more debuggability and visibility into UDF execution. This blog will explore two new features in Couchbase 7.6 in the world of UDFs:

An Explanation of Jenkins Architecture

Aggregated on: 2024-03-22 17:12:22

In the fast-paced world of software development, efficiency is paramount. Automating repetitive tasks is key to achieving faster delivery cycles and improved quality. This is where Jenkins comes in — a free and open-source automation server that has become synonymous with continuous integration (CI) and continuous delivery (CD). Jenkins, the open-source automation powerhouse, plays a pivotal role in the DevOps world. But have you ever wondered how it all works under the hood? This blog delves into the intricate architecture of Jenkins, breaking down its core components and how they orchestrate the automation magic.

Integration of AI Tools With SAP ABAP Programming

Aggregated on: 2024-03-22 16:12:22

As the landscape of enterprise technology evolves, the marriage of Artificial Intelligence (AI) with SAP ABAP (Advanced Business Application Programming) is reshaping the way businesses approach software development within the SAP ecosystem. This article delves into the groundbreaking integration of AI with SAP ABAP programming, exploring how this fusion is revolutionizing SAP development processes. SAP ABAP and Its Legacy The Foundation of SAP Development SAP ABAP has long been the backbone of SAP development, providing a powerful and versatile language for customizing SAP applications. ABAP's capabilities have driven the customization of SAP systems to meet specific business requirements.

Build Your Own Programming Language

Aggregated on: 2024-03-22 15:12:22

Expanding on "Build Your Own Programming Language" by Clinton Jeffery, this second edition embarks on an ambitious journey to demystify the intricacies of programming language development. Its inception, driven by real-world application and feedback, signifies a pivotal moment in the dialogue between authors and the programming community. This enhanced discussion delves deeper into the book's multifaceted contributions, exploring its role as a beacon for aspiring language designers and its broader implications for the future of software development. A Responsive Evolution The evolution from the first to the second edition of Jeffery's work illustrates a responsive adaptation to the needs of its audience. The inclusion of a chapter dedicated to preprocessors and transpilers was more than a mere addition; it was a strategic response to the shifting landscape of programming, where the conversion of legacy code becomes increasingly critical. This adaptation not only broadens the book's utility but also reflects a deep understanding of the ongoing challenges faced by developers in integrating old with new, ensuring the longevity and relevance of programming languages.

Maximizing Developer Efficiency and Productivity in 2024: A Personal Toolkit

Aggregated on: 2024-03-22 14:12:22

Numerous developers embark on their tech journey only to find themselves disoriented, intimidated by coding sessions, and wrestling with the notion that they might not possess the quintessential programmer's mindset. The path they tread is fraught with challenges, stemming not only from a lack of proper experience but also from the absence of essential tools. Crafting exceptional software is no small feat. It demands an extensive repertoire of knowledge, an eye for detail, astute logical reasoning, relentless research, and, most crucially, time.

Understanding Escape Analysis in Go

Aggregated on: 2024-03-22 13:12:22

Go uses escape analysis to determine the dynamic scope of Go values. Typically, go tries to store all the Go values in the function stack frame. The go compiler can predetermine which memory needs to be freed and emits machine instructions to clean it up. This way it becomes easy to clean up memory without the intervention of the Go Garbage Collector. This way of allocating memory is typically called stack allocation. But when the compiler cannot determine the lifetime of a Go value it escapes to the heap. A value may also escape to the heap when the compiler does not know the size of the variable, or it’s too large to fit into the stack, or if the compiler cannot determine whether the variable is used after the function ends or the function stack frame is not used anymore.

Modern Digital Authentication Protocols

Aggregated on: 2024-03-22 12:27:22

Digital authentication is no longer a new term in today's technology-driven society. It is a critical security mechanism that helps to protect our cyberspace from various types of fraud and identity theft. It is used to enable electronic transactions that are performed over the Internet and provide the necessary confidence in the validity and security of the information being transferred. We use this mechanism almost every day, when logging into our email accounts, social media, internet banking, etc., to verify our identity. The securement of personal data and the relevant digital environment is very important today, most notably in light of the new general data protection regulations. These require all digital personal data to be stored in a location that is both password and firewall-protected. This information must be encrypted, and the password must only be made available to those who have a justified reason for accessing the information.

Getting Started With NCache Java Edition (Using Docker)

Aggregated on: 2024-03-22 02:12:22

NCache Java Edition with distributed cache technique is a powerful tool that helps Java applications run faster, handle more users, and be more reliable. In today's world, where people expect apps to work quickly and without any problems, knowing how to use NCache Java Edition is very important. It's a key piece of technology for both developers and businesses who want to make sure their apps can give users fast access to data and a smooth experience. This makes NCache Java Edition an important part of making great apps. This article is made especially for beginners to make the ideas and steps of adding NCache to your Java applications clear and easy to understand. It doesn't matter if you've been developing for years or if you're new to caching, this article will help you get a good start with NCache Java Edition. Let’s start with a step-by-step process to set up a development workstation for NCache with the Java setup.

Why You Should Move From Monolith to Microservices

Aggregated on: 2024-03-22 01:12:21

In this article, we’ll talk about microservices and how to shift to it from a monolith architecture. We’ll find out how to adapt to such changes with minimum risks for your organization. In fact, we’ll figure out how to accomplish this with benefits. Excited? Let’s jump right into it. First, let’s discuss why you must make such a transit. At a certain point, you may find yourself in a situation where adding new essential features to an existing codebase becomes difficult and time-consuming. Moreover, it turns out that the cost of a new functionality outweighs the benefits it may bring. The solution to this challenge might be microservices.

Securing Cloud Storage Access: Approach to Limiting Document Access Attempts

Aggregated on: 2024-03-22 00:12:21

In today's digital age, cloud-hosted applications frequently use storage solutions like AWS S3 or Azure Blob Storage for images, documents, and more. Public URLs allow direct access to publicly accessible resources. However, sensitive images require protection and are not readily accessible via public URLs. Accessing such an image involves a JWT-protected API endpoint, which returns the needed image. We must pass the JWT token in the header to fetch the image using the GET API. The standard method for rendering these images in HTML uses JavaScript, which binds the byte content from the API to the img src attribute. Though straightforward, this approach might not always be suitable, especially when avoiding JavaScript execution.

Role-Based Multi-Factor Authentication

Aggregated on: 2024-03-21 23:12:21

Multi-factor authentication (MFA) is a method of computer access control in which a user is granted access only after successfully presenting several separate pieces of evidence to an authentication mechanism — typically at least two of the following categories: knowledge (something they know), possession (something they have), and inherence (something they are). MFA is being adopted by more and more organizations these days because putting it in place greatly increases security. The user also feels more secure. So, why use role-based multi-factor authentication (MFA)? Modern organizations are typically subject to a wide range of regulatory and contractual legal obligations for the security of the data they create and use.

The Role of Data Brokers in Software Development: Navigating Ethics and Privacy Concerns

Aggregated on: 2024-03-21 22:12:21

Unveiling Data Brokers Data brokers are entities that gather personal information from various sources, then process and organize it to later license to other organizations or individuals for marketing, risk mitigation, identity verification, and other purposes. The information data brokers collect encompasses various areas of a user’s life. According to Onerep, it ranges from demographics (birth date, ethnicity, gender, income, net worth, political and religious affiliations, etc) to consumer behavior (app activity, shopping history, location data, interests based on online activities, etc).

Exploring the Comprehensive World of Burp Suite

Aggregated on: 2024-03-21 21:12:21

Nowadays, with the prevalence of digital risks, it is crucial to make sure online applications are secure. To detect vulnerabilities and provide a strong defense against future cyberattacks, security testing is essential. Burp Suite is one of the many tools available for security testing; it is a flexible and strong platform that helps security experts evaluate web applications' security posture in detail. This article delves into the world of Burp Suite, examining its importance, benefits, operation, key elements, and a live example of its use. Understanding Security Testing Security testing is an essential procedure that assesses software applications' security features in order to find flaws and vulnerabilities that an attacker might exploit. It includes a range of approaches and procedures for evaluating the availability, confidentiality, and integrity of information assets.

Some Thoughts on Bad Programming Practices

Aggregated on: 2024-03-21 20:12:21

I recently read an article about the worst kind of programmer. I agree with the basic idea, but I wanted to add my thoughts on it. I have seen, over time, that developers seem invested in learning new things for the sake of new things, rather than getting better at existing approaches. Programming is like everything else — new is not always better. I have a Honda CRV that is not as easy to use as some cars I used to own before touch interfaces became popular. The touch screen sometimes acts like I'm pressing various places on the screen when I'm not, making beeping noises and flipping screens randomly. I have to stop and turn the car off and on to stop it. It has a config screen with every option disabled. It has bizarre logic about locking and unlocking the doors, that I have never fully figured out. I often wonder if devs who make car software have a driver's license.

Is Claude 3 Outperforming GPT-4?

Aggregated on: 2024-03-21 19:12:21

In the rapidly evolving world of large language models (LLMs), a new challenger has emerged that claims to outperform the reigning champion, OpenAI's GPT-4. Anthropic, a relatively new player in the field of artificial intelligence, has recently announced the release of Claude 3, a powerful language model that comes in three different sizes: Haiku, Sonnet, and Opus. Compared to previous models, the new Claude 3 model displays enhanced contextual understanding that ultimately results in fewer refusals (as shown in the above image). The company claims that the Claude 3 Opus model rivals or even surpasses GPT-4 considering performance across various benchmarks. Experts engage in lively debates regarding the possible superiority of Claude 3 over GPT-4 as the pre-eminent language model on the market.

Remote Work Security Tips for Developers

Aggregated on: 2024-03-21 18:12:21

Remote working arrangements are popular perks for developers. Many appreciate that they can do their jobs without daily commutes. Hiring managers and other decision-makers also like how remote work removes the geographical limitations of physical offices, making it possible to find talent outside the local job market. However, despite remote work’s perks, it can pose additional security risks for developers and their employers. Following some best practices can significantly reduce them.

Weka Makes Life Simpler for Developers, Engineers, and Architects

Aggregated on: 2024-03-21 17:57:21

Weka, the AI-native data platform company, recently delivered a series of compelling announcements and performance benchmarks at the 54th IT Press Tour that demonstrated how their platform is making life easier for developers, engineers, and architects working on AI, machine learning, and high-performance computing projects. With its focus on simplicity, performance, and scalability, Weka is empowering these technical professionals to achieve their goals more efficiently. Delivering Unmatched Performance One of the key takeaways from Weka's presentations was the exceptional performance of their data platform. In the latest round of SPEC Storage Solution 2020 benchmarks, Weka demonstrated its superiority across various workloads, including AI image processing, electronic design automation (EDA), video data acquisition (VDA), genomics, and software builds.

Three Mechanisms To Protect Your Git Repositories

Aggregated on: 2024-03-21 17:12:21

Your version control system, like Git, is a primary vector for secret sprawl, unintentional source poisoning, and intentional source poisoning. In a shift left model, there are degrees of leftness. The most left you can get is to test all the code before the developer tries to commit anything and train them thoroughly in the best practices. But when we rely on people to remember to do things consistently and correctly, we're cutting holes in the safety net. We need mechanisms. At Amazon, they have a saying: "Good intentions don't work. Mechanisms do." Humans can feel fatigued, rushed, distracted, or otherwise encumbered, and despite all intentions to follow best practices, they don't. When you automate enforcement of best practices, you can ensure those practices are followed in a much more consistent and correct fashion.

Time Data Series: Working With PHP Zmanim

Aggregated on: 2024-03-21 16:12:21

This post continues my exploration of concepts and techniques related to both the way so-called “Jewish times” (zmanim) are calculated; as well as the techniques needed to use the PHP Zmanim library – a library of functions that let you easily calculate Jewish times. Once again I owe a huge debt of gratitude to several folks – including Eliyahu Hershfeld, creator of the Kosher Java library, Zachary Weixelbaum (owner of the PHP Zmanim library, a port of Kosher Java), Elyahu Jacobi (who built RoyZmanim.com with those tools and patiently explained so many concepts to me), and Maor Neim, who offered explanations that turned theory into practice. Introduction In my last post, I explored both the foundational concepts of Jewish time calculations (zmanim) and also the initial steps needed to install and use PHP Zmanim. We got as far as calculating sunrise with that library.

Deploying to Heroku With GitLab CI/CD

Aggregated on: 2024-03-21 15:42:21

Good software engineering teams commit frequently and deploy frequently. Those are some of the main ideas behind continuous integration (CI) and continuous deployment (CD). Gone are the days of quarterly or yearly releases and long-lived feature branches! Today, we’ll show you how you can deploy your Heroku app automatically any time code is merged into your main branch by using GitLab CI/CD.

Those Were The Days?!?

Aggregated on: 2024-03-21 15:12:21

Biology insists - and common sense says - that I've started to become that old fogey I used to laugh at in my younger days. ...THIRD YORKSHIREMAN:Well, of course, we had it tough. We used to 'ave to get up out of shoebox at twelve o'clock at night and lick road clean wit' tongue. We had two bits of cold gravel, worked twenty-four hours a day at mill for sixpence every four years, and when we got home our Dad would slice us in two wit' bread knife.

Vector Tutorial: Conducting Similarity Search in Enterprise Data

Aggregated on: 2024-03-21 14:12:21

Software engineers occupy an exciting place in this world. Regardless of the tech stack or industry, we are tasked with solving problems that directly contribute to the goals and objectives of our employers. As a bonus, we get to use technology to mitigate any challenges that come into our crosshairs. For this example, I wanted to focus on how pgvector — an open-source vector similarity search for Postgres — can be used to identify data similarities that exist in enterprise data.

How to Query XML Files Using APIs in Java

Aggregated on: 2024-03-21 13:12:21

Despite some notable shortcomings in the contemporary technology landscape, XML is still a powerful language offering key advantages in complex data storage scenarios. Compared with a popular data interchange format like JSON, for example, XML’s syntax places a greater emphasis on machine readability over human readability, making its error-checking process more efficient. Most importantly, XML is great at storing unique data types with multiple variables, whereas JSON is optimized for relatively simple and concise object storage. XML’s advantages and disadvantages both stem from the fact that it’s not a dedicated data interchange format like JSON at all; rather, it’s a complex markup language (more similar to HTML) with powerful data interchange capabilities.

Do We Need Data Normalization Anymore?

Aggregated on: 2024-03-21 04:27:21

Many different roles in the technology world come into contact with data normalization as a routine part of many projects. Developers, database administrators, domain modelers, business stakeholders, and many more progress through the normalization process just as they would breathing. And yet, can something that seems so integral become obsolete? As the database landscape becomes more diverse and hardware becomes more powerful, we might wonder if the practice of data normalization is required anymore. Should we be fretting over optimizing data storage and querying so that we return the minimum amount of data? Or if we should, do certain data structures make it more vital to solve those problems than others?

New Tools and Platforms To Accelerate Generative AI Development

Aggregated on: 2024-03-21 03:27:21

At the GPU Technology Conference (GTC) this week, NVIDIA made a slew of announcements highlighting how the company is making it easier than ever for developers to build and deploy generative AI applications at scale. New offerings include powerful computing platforms optimized for AI workloads, cloud services to access NVIDIA infrastructure and software, and microservices and APIs to streamline development. "Generative AI is the defining technology of our time. Blackwell is the engine to power this new industrial revolution," said Jensen Huang, founder and CEO of NVIDIA. "Working with the most dynamic companies in the world, we will realize the promise of AI for every industry."

An In-Depth Analysis of GraphQL Functioning Using GenAI Within a Monolithic Application Framework

Aggregated on: 2024-03-21 02:27:21

GraphQL, introduced by Facebook in 2015, is a powerful query language for APIs and a runtime for executing those queries with your existing data. When GraphQL is applied within GenAI on a Monolithic Application Framework, it can bring numerous benefits and a few challenges. It is particularly interesting to evaluate how GraphQL operates within a monolithic application — a software architecture where the user interface and data access code are combined into a single program from a single platform. The Interplay Between Monolithic Architecture and GraphQL Monolithic applications are designed as a single, indivisible unit, where the components of the application (like the database, client-side user interface, and server-side application) are interconnected and interdependent. Each module is designed for a specific operation but is connected to the others, forming a single, coherent system.

Implement RAG Using Weaviate, LangChain4j, and LocalAI

Aggregated on: 2024-03-21 01:27:21

In this blog, you will learn how to implement Retrieval Augmented Generation (RAG) using Weaviate, LangChain4j, and LocalAI. This implementation allows you to ask questions about your documents using natural language. Enjoy! 1. Introduction In the previous post, Weaviate was used as a vector database in order to perform a semantic search. The source documents used are two Wikipedia documents. The discography and list of songs recorded by Bruce Springsteen are the documents used. The interesting part of these documents is that they contain facts and are mainly in a table format. Parts of these documents are converted to Markdown in order to have a better representation. The Markdown files are embedded in Collections in Weaviate. The result was amazing: all questions asked, resulted in the correct answer to the question. That is, the correct segment was returned. You still needed to extract the answer yourself, but this was quite easy.

Data Processing in GCP With Apache Airflow and BigQuery

Aggregated on: 2024-03-21 00:12:21

In today's data-driven world, efficient data processing is paramount for organizations seeking insights and making informed decisions. Google Cloud Platform (GCP) offers powerful tools such as Apache Airflow and BigQuery for streamlining data processing workflows. In this guide, we'll explore how to leverage these tools to create robust and scalable data pipelines. Setting up Apache Airflow on Google Cloud Platform Apache Airflow, an open-source platform, orchestrates intricate workflows. It allows developers to define, schedule, and monitor workflows using Directed Acyclic Graphs (DAGs), providing flexibility and scalability for data processing tasks. Setting up Airflow on GCP is straightforward using managed services like Cloud Composer. Follow these steps to get started:

Debugging Streams With Peek

Aggregated on: 2024-03-20 23:12:21

I blogged about Java stream debugging in the past, but I skipped an important method that's worthy of a post of its own: peek. This blog post delves into the practicalities of using peek() to debug Java streams, complete with code samples and common pitfalls. Understanding Java Streams Java Streams represent a significant shift in how Java developers work with collections and data processing, introducing a functional approach to handling sequences of elements. Streams facilitate declarative processing of collections, enabling operations such as filter, map, reduce, and more in a fluent style. This not only makes the code more readable but also more concise compared to traditional iterative approaches.