News Aggregator

Data-Driven Decision-Making in Product Management: The Key to Success

Aggregated on: 2023-12-04 19:42:43

Making informed decisions in the dynamic landscape of product management is critical for product success. The traditional gut feeling and intuition-driven approach are giving way to a more analytical and data-driven mindset. This shift towards data-driven decision-making in product management is changing how businesses develop, launch, and optimize their products. The Role of Data in Product Management Product management data-driven decision-making entails utilizing data at all stages of the product lifecycle. From ideation to development, launch, and post-launch optimization, data plays a critical role in providing insights and guiding strategic decisions.

From Docker Swarm to Kubernetes: Transitioning and Scaling

Aggregated on: 2023-12-04 18:12:43

In the ever-evolving landscape of container orchestration, the shift from Docker Swarm to Kubernetes has become a significant trend. As organizations seek more robust, scalable, and reliable solutions for deploying and managing containerized applications, Kubernetes emerges as the clear frontrunner. This article delves into the nuances of transitioning from Docker Swarm to Kubernetes, focusing on best practices, strategic considerations, and the scaling advantages Kubernetes offers. Understanding the Shift Docker Swarm, Docker's native clustering and scheduling tool, provides simplicity and ease of use but often falls short in handling more extensive and complex deployments. Kubernetes, on the other hand, is an open-source platform designed to automate the deployment, scaling, and operation of application containers. It offers greater flexibility, a richer feature set, and a vast ecosystem, making it the preferred choice for large-scale, enterprise-level deployments.

Analysis of Failure Modes in Producer-Consumer Systems

Aggregated on: 2023-12-04 18:12:43

Producer-consumer patterns are used extensively in systems all around us. In producer-consumer pattern-based systems, producers write data that one or multiple consumers consume. This pattern allows producer systems to scale while distributing functionality among multiple consumer systems. Just like any other distributed system, the uptime of a producer-consumer system depends on how well it protects itself from the various failure modes and, when impacted, how quickly it can recover. In this article, we analyze the various failure modes of producer-consumer systems, their impact, how we can detect the failures, mitigate them, and review the protections we can put in place to prevent the failure modes from happening.

How To Convert MySQL Database to SQL Server

Aggregated on: 2023-12-04 17:42:43

This article explains why organizations would desire to convert their MySQL databases to Microsoft SQL databases. The article goes on to detail items to bear in mind before trying the conversion, as well as the method involved. A Specialized Database Converter Tool will help you swiftly convert MySQL database records to MS SQL Server. Before we proceed, let’s discuss the benefits of MySQL to MS SQL Server Conversion.

Connection Pooling

Aggregated on: 2023-12-04 17:42:43

For almost every web or mobile application that we write, one of the crucial components underlying it is the database. For writing applications that use databases and are performant and resource-efficient, there is a crucial resource one has to take care of, but unlike CPU, memory, etc., it’s often not very visible. That resource is a database connection. What Is a Database Connection?

Sometimes It Is Who You Know

Aggregated on: 2023-12-04 17:42:43

(And sometimes it’s not) My post about my 6-month job search generated some attention and conversation. The comments helped me clarify some of the more specific lessons I’ve learned recently or that I knew but were reinforced by the experience. After taking time to organize them into a somewhat coherent structure, I’m ready to share. Here are the first lessons on the list.

The Role of CloudWeGo in Modern Cloud-Native Applications

Aggregated on: 2023-12-04 17:27:43

In the current era of infrastructure modernization, the term “Cloud-Native Applications” has emerged as a significant factor driving the evolution of the IT landscape. These applications inherently embody the concept of flexibility, scalability, and high availability and are built and delivered in a rapid, dynamic manner. They leverage modern application development frameworks and methodologies like microservices, containerization, and DevOps. Amidst the vast array of technologies accelerating the development and deployment of cloud-native applications is CloudWeGo, a notable player offering a distinctive edge to developers and organizations. CloudWeGo, a brainchild of ByteDance, has established itself as a set of microservices middleware. It comprises a collection of high-performance, highly extensible, and highly reliable projects focused on microservices communication and governance. In the face of the rapidly escalating hybrid and cloud-native microservices environment, CloudWeGo has proved to be a powerful fine-tuned tool to cater to the explicit requirements of such architectures. This article will explore the critical role CloudWeGo plays in understanding, architecting, and leveraging modern cloud-native applications.

Data Modeling and ETL Design Using AWS Services

Aggregated on: 2023-12-04 17:27:43

As the data industry evolves, data insights become increasingly accessible, forming the fundamental elements for various time-centric applications such as fraud detection, anomaly detection, and business insights. An essential and widely recognized component in unlocking the value and accessibility of this data is comprehending its nature and interrelationships and extracting meaningful values. Data modeling serves as the crucial blueprint akin to architectural plans for a house, defining how data is structured, modeled, and interconnected to facilitate informed decision-making efficiently. Additionally, data modeling elevates raw data collection to a level that is ready to be transformed into information, empowering the users to derive valuable insights. This article highlights the significance of data modeling, data storage, and ETL (Extract, Transform, Load) design tailored for downstream analytics. It draws insights from sample data obtained through the Binance crypto open API.

Automate JBoss Web Server Deployment With the Red Hat Certified Content Collection for JWS

Aggregated on: 2023-12-04 17:12:43

According to several sources we queried, more than 33 percent of the world's web servers are running Apache Tomcat, while other sources show that it's 48 percent of application servers. Some of these instances have been containerized over the years, but many still run in the traditional setup of a virtual machine with Linux. Red Hat JBoss Web Server (JWS) combines a web server (Apache HTTPD), a servlet engine (Apache Tomcat), and modules for load balancing (mod_jk and mod_cluster). Ansible is an automation engine that provides a suite of tools for managing an enterprise at scale. In this article, we'll show how 1+1 becomes 11 by using Ansible to completely automate the deployment of a JBoss Web Server instance on a Red Hat Enterprise Linux 8 server.

Harnessing the Power of APIs: Shaping Product Roadmaps and Elevating User Experiences through Authentication

Aggregated on: 2023-12-04 16:42:43

In the dynamic landscape of digital product development, APIs (Application Programming Interfaces) have emerged as indispensable tools that not only connect systems but also play a pivotal role in shaping product roadmaps. In this exploration, we will unravel the multifaceted impact of APIs on product strategies and delve into how astute product managers can leverage authentication to elevate user experiences. The Evolving Role of APIs in Product Development The API Revolution As technology continues to evolve, APIs have transitioned from mere connectors to strategic assets. They empower products to tap into a vast array of functionalities, services, and data sources, fostering innovation and scalability. Product managers must now view APIs as integral components that not only facilitate integration but also shape the very core of their product roadmaps.

Why Dedicated Development Team Is Crucial for Agile Development Process

Aggregated on: 2023-12-04 16:42:43

Agile development is leading the industry in software creation, as it's an iterative approach that can create high-quality products at speed. The key to successful Agile development is communication and collaboration between team members; adapting quickly to requirements is crucial for success. This article will delve into a dedicated development team's vital role in Agile development and its importance for success.

Data Privacy and Security

Aggregated on: 2023-12-04 15:42:43

Organizations are gradually becoming concerned regarding data security in several instances, such as collecting and retaining sensitive information and processing personal information in external environments, which include information sharing and cloud computing. Some of the commonly used solutions, however, do not provide strong and viable protection from privacy disclosures and data theft. Particularly, privacy and risk protection experts are concerned about the security and privacy of data that is used in the process of analytics and then shared externally. As such, organizations need to comply with existing and upcoming regulations for secure processing of sensitive data. From this perspective, new approaches concerning privacy-preserving computing that are clear and sustainable to business processes can present various opportunities while also assisting in finding an appropriate balance between security, privacy, and compliance. Encrypting data, especially when at rest, is insufficient when it comes to avoiding data breaches. Ideally, data-at-rest encryption leads to a crypto boundary, an aspect that suggests that data is accessible in plaintext. When it comes to addressing plaintext, it is important to note that it is primarily needed for processing, and this boundary usually exists below the point at which a compromise can be experienced. Additionally, data-at-rest encryption does not necessarily support cases where data sharing with other organizations is done. For data to be deemed useful, it has to be accessible through plaintext within various applications since this plays a significant role in reducing encryption’s protection capability. However, a disadvantage of typical data masking techniques is that they do not largely support the protection of behavioral or transactional data. Notably, the limitations of data masking and data-at-rest have led to a gradual increase in devising new strategies for data protection, especially when advanced approaches tend to protect data with regard to where the traditional encryption and data masking techniques fail.

What Is Web Scraping and Why Do Software Developers Use It?

Aggregated on: 2023-12-04 15:42:43

Web scraping is often discussed in software development circles, but not everyone knows about it or has anything more than a superficial understanding of its ins and outs. With that in mind, here is an overview of the basics, as well as an examination of why some devs are committed to web scraping in a major way. An Overview of Web Scraping Web scraping is a method for achieving automatic data extraction from websites. It involves programming a piece of software to visit desired web pages and gather specified information. This may include text content, images, links, or any other type of structured data that resides on these sites.

Navigating NoSQL: A Pragmatic Approach for Java Developers

Aggregated on: 2023-12-04 15:12:43

In the dynamic landscape of data management, NoSQL databases have emerged as a crucial component, offering flexibility and scalability that traditional relational databases sometimes struggle to provide. Understanding the significance of NoSQL and its synergy with Java is pivotal for developers seeking efficient solutions for modern, data-intensive applications. Why NoSQL Matters: Unraveling the Complexities NoSQL databases have gained prominence due to their easy handling of unstructured and semi-structured data. Unlike traditional relational databases, NoSQL embraces a schema-less approach, allowing developers to adapt swiftly to evolving data structures. It proves invaluable in scenarios where data types and relationships are not predefined or may change frequently.

Java CMS GC Tuning

Aggregated on: 2023-12-04 15:12:43

Java Concurrent Mark and Sweep (CMS) algorithm operates by dividing the garbage collection process into multiple phases, concurrently marking and sweeping the memory regions without a significant pause. While its design brings benefits in terms of reduced pause times, it also introduces unique challenges that demand careful tuning and optimization. In this post, we will explore techniques to tune CMS GC specifically for enhanced performance. However, if you want to learn more basics, you may watch this Garbage Collection tuning talk delivered at the JAX London conference. How To Enable CMS GC You can enable the Concurrent Mark-Sweep (CMS) Garbage Collector in your Java application by adding the following JVM argument when launching your application:

Why Understanding Kubernetes Costs Is Crucial To Growing Our Business

Aggregated on: 2023-12-04 15:12:43

Our software development company, Webparking, has been in business for nearly 20 years now — long enough to see both the rise of the cloud…and the subsequent rise in cloud cost complexity. Through the era of dedicated servers and then virtual servers, our infrastructure pricing was quite straightforward. It was only once we modernized into the cloud and Kubernetes era — and set up our own cluster on AWS — that costs got really complicated. Suddenly, we were facing a scheme with charges billed per hour, per minute, or per instance or resource, all with separate pricing models and layers and differences by region and more. This is where our infrastructure costs also became an acute challenge from a profitability perspective. Our business model includes charging clients fixed monthly fees based on what we provide, with no direct regard for the resources they use up. We’re not Amazon, and implementing similarly-complex billing would mean maintaining our own complex billing infrastructure. That’s not something either our company or our customers would be interested in.

Master the Art of Data Security: A Complete Guide To Securing Data at Rest on Amazon S3

Aggregated on: 2023-12-04 14:42:43

As we step further into the digital age, the importance of data security becomes increasingly apparent. Our interactions, transactions, and even our identities are frequently translated into data, which is stored, transferred, and processed in the digital realm. When this data falls into the wrong hands, the consequences can be disastrous, both for individuals and for organizations. Amazon S3, a popular storage solution offered by Amazon Web Services (AWS), serves as a repository for a vast amount of this data. With its robust scalability and ease of use, it has become a favored choice for many organizations. But as with all data storage services, it's crucial to ensure that the data stored on Amazon S3 is secure, particularly when it's 'at rest'—that is, not actively being used or transferred.

MuleSoft Anypoint Platform Audit Logs to Splunk

Aggregated on: 2023-12-04 14:27:43

Overview This article addresses the overall approach to how to send the MuleSoft Anypoint platform Audit logs to Splunk. Audit Logs Changes made by users within Anypoint Platform organizations are logged through an audit logging service. You can access the data logs through the audit logging query API or through the audit logging UI. Audit logs provide a quarriable history of actions performed within the Anypoint Platform. It also Keeps track of all users who have interacted with objects in the system and timestamps those actions. Provides mechanisms for querying the set of users who have performed actions.

Data Integration and AI-Driven Insights

Aggregated on: 2023-12-04 14:12:43

The digital age has catapulted data into the spotlight, transforming it from mere binary sequences to valuable organizational assets. As businesses increasingly pivot towards data-driven strategies, the complexities surrounding data management have also amplified. The task at hand is not just storing or even collecting data but converting it into actionable intelligence. This blog aims to dissect two instrumental pillars in the quest for this intelligence: Data Integration and AI-driven insights. The narrative centers on their synergistic relationship and its rippling impact on decision-making and automation across various industries. Whether you’re a CTO trying to align technology with business outcomes, a Data Scientist striving for more accurate models, a Software Engineer building robust data pipelines, or a Business Analyst seeking to understand and advise on data strategies, understanding this symbiosis is critical. The Pillars: Data Integration and AI-Driven Insights Data Integration Data Integration, once a mere auxiliary function in data management, has now ascended to be a cornerstone of modern enterprise technology. It isn't merely about fetching data from one database and plugging it into another; it's an elaborate process involving data ingestion, transformation (also known as ETL or ELT), and finally, serving this unified data through a layer that can be consumed for analytical tasks. But why is this unification so critical? It's because this integrated data often serves as the basis for machine learning models, real-time analytics, and even for driving automation that can span across multiple departments in an organization.

Kubernetes DaemonSet: Practical Guide to Monitoring in Kubernetes

Aggregated on: 2023-12-04 13:42:43

As teams moved their deployment infrastructure to containers, monitoring and logging methods changed a lot. Storing logs in containers or VMs just doesn’t make sense – they’re both way too ephemeral for that. This is where solutions like Kubernetes DaemonSet come in. Since pods are ephemeral as well, managing Kubernetes logs is challenging. That’s why it makes sense to collect logs from every node and send them to some sort of central location outside the Kubernetes cluster for persistence and later analysis.

Accelerate Innovation by Shifting Left FinOps, Part 3

Aggregated on: 2023-12-04 13:27:43

Now that we have understood the importance of cost models and how to create and refine cost models, it's time to start to optimize our workload components. Any workload deployment and architecture contains the key components that are depicted in the architecture diagram given below. All the layers of the architecture provide opportunities for cost optimization. In this post, we will look at cost optimization techniques for infrastructure (layer highlighted in blue). Key architecture components for a cloud-deployed workload

Using Unblocked to Fix a Service That Nobody Owns

Aggregated on: 2023-12-04 12:42:43

Working in technology for over three decades, I have found myself in a position of getting up to speed on something new at least 100 times. For about half of my career, I have worked in a consulting role, which is where I faced the challenge of understanding a new project the most. Over time, I established a personal goal to be productive on a new project in half the time it took for the average team member. I often called this the time to first commit or TTFC. The problem with my approach to setting a TTFC record was the unexpected levels of stress that I endured in those time periods. Family members and friends always knew when I was in the early stages of a brand-new project.

Achieve Continuous Improvement With Augmented Analytics

Aggregated on: 2023-12-03 18:57:43

If you want to encourage and enable continuous improvement within your enterprise, analytics can go a long way toward helping you achieve your goal. When you provide access to augmented analytics solutions for your business users, you distribute knowledge and engender fact-based decision making, helping your users to accurately complete tasks and plan for future success. McKinsey recently surveyed 2000 businesses and found that 83% of high-tech/media/telecom, 76% of banking, and more than 50% of consumer companies identified as continuous improvement organizations. There is good reason for these results. Continuous improvement improves results! And, as McKinsey reports, continuous improvement companies seek to eliminate costs and to empower employees to improve efficiency and growth of product and service innovation.

How to Do a Risk Analysis Service in a Software Project

Aggregated on: 2023-12-03 18:42:43

Software projects are vulnerable to countless attacks, from the leak of confidential data to exposure to computer viruses, so any development team must work on an effective risk analysis that exposes any vulnerabilities in the software product. A well-executed risk analysis service can be the compass that guides development teams through the turbulent waters of uncertainty. This article describes a comprehensive approach to performing risk analysis on a software project.

Taming the Virtual Threads: Embracing Concurrency With Pitfall Avoidance

Aggregated on: 2023-12-03 18:27:43

In the previous article, you learned about the history of Java threads and how Quarkus helps developers execute traditional blocking applications on top of the virtual thread (Project Loom) dead simply using a single @RunOnVirtualThread annotation on both method and class levels. Unfortunately, there’s a long way to go with the virtual threads across all Java ecosystems. For example, you probably get used to importing Java libraries such as Maven dependencies or Gradle modules in your Java projects. It means you might not know how the libraries work on platform threads, or you don’t even need to know it because you just need to use them, which is the common development practice. With a vast ecosystem of Java libraries, you will probably hit the following challenges and pitfalls that could break the virtual thread runtimes in the end.

Challenges of Legacy System Integration: An In-Depth Analysis

Aggregated on: 2023-12-03 17:57:42

In an era defined by the relentless drive towards digital transformation, IT landscapes are continuously evolving. Companies are adopting modern architectures like microservices, serverless computing, and utilizing the latest AI and machine learning techniques. Yet, amid this technological evolution, legacy systems — reminiscent of an older epoch — still hold a crucial place. These systems continue to shoulder significant operational tasks, making their integration into modern architectures not just desirable but often essential. This article delves into the complexities and challenges surrounding legacy system integration, exploring why it is far from a straightforward task. The Ubiquity of Legacy Systems Legacy systems are far from extinct; they remain ubiquitous across various industries — from financial institutions to manufacturing plants. Often, these systems were built with initial design goals that were well-suited for the business needs of their time. However, those very design considerations — whether it’s a specific database or programming language — can now present hindrances when considering modern integration. While some organizations have successfully moved away from these dated infrastructures, for many, legacy systems still serve critical roles. They may contain valuable historical data or functionalities for which there is no modern equivalent. Hence, the integration of these systems is often not a matter of choice but of necessity.

The Reality of Low-Code and No-Code Applications

Aggregated on: 2023-12-03 17:42:42

Low-code and no-code are slowly becoming the norm today. No-code refers to the approach where you can design software or applications with virtually no code. This is possible where platforms offer ready-made or done-for-you features. Today, many website builders, including WordPress and others, are prime examples of using drag-and-drop features as well as templates.

Data Observability: Reliability in the AI Era

Aggregated on: 2023-12-02 22:57:42

When we introduced the concept of data observability four years ago, it resonated with organizations that had unlocked new value…and new problems thanks to the modern data stack. Now, four years later, we are seeing organizations grapple with the tremendous potential…and tremendous challenges posed by generative AI.

Keeping AI Infrastructure Costs Down With API Governance

Aggregated on: 2023-12-02 22:42:42

The growing importance of AI in business is undeniable, with more than 50% of businesses employing artificial intelligence for security and combating fraud. Additionally, beyond the practical applications for businesses externally, AI can be used internally to deliver better customer experiences through competitive tools and features. As the role of AI within an API business’ operations expands, so do the associated AI infrastructure costs. These expenses can quickly become a significant financial burden if left unchecked. Like all outward facing API-based tools, the key to success is API governance. That’s where API governance steps in as a way of managing infrastructure costs and avoiding financial setbacks of monumental proportions. API governance allows an organization to regulate and optimize how AI resources and services are accessed and utilized, ensuring that businesses can offer an AI solution and features without breaking the bank. Governance serves as a strategic framework for controlling expenses in an effort to maintain the quality and reliability of offered AI implementation within services and solutions.

What to Do if You Expose a Secret: How to Stay Calm and Respond to an Incident

Aggregated on: 2023-12-02 22:42:42

You probably are here because you leaked a secret somewhere and want to get straight to rotating the secret. If you are a solo developer or you know for sure you are the only user of the secret and understand what rotating the secret might disrupt, start here: Rotate the secret and store the new credential safely. If you work in a team and are not sure who uses this secret, what it gives access to, or what outages might occur from rotating it, then please read on.

Navigating Software Leadership in a Dynamic Era

Aggregated on: 2023-12-02 16:57:42

In the realm of professional pursuits, there exists a common misconception that managing software development is akin to riding a bike – a static skill that, once acquired, can be smoothly pedaled forward with minimal adjustments. However, in the fast-evolving landscape of technology, such a comparison is not only overly simplistic but can lead to profound misjudgments in leadership. Unlike the steadfast predictability of a bicycle ride, software development is a dynamic and ever-changing process that defies the static nature of traditional analogies. As we celebrate the first birthday of our software endeavors, it's imperative to address the fallacy that managing software projects is as straightforward as steering a two-wheeler down a familiar path. This misapprehension often stems from leaders who, having once mastered coding or project management, find themselves trapped in a mindset that underestimates the fluidity of the software development journey. In this article, we unravel the intricacies of why software development is fundamentally distinct from riding a bike, shedding light on the pitfalls that managers and CTOs may encounter when they cling to static paradigms in a world that thrives on adaptability and innovation. Join us as we explore the dynamic nature of software development and challenge the notion that it can be steered with the simplicity of a handlebar.

Understanding the New SEC Rules for Disclosing Cybersecurity Incidents

Aggregated on: 2023-12-02 16:42:42

The U.S. Securities and Exchange Commission (SEC) recently announced its new rules for public companies regarding cybersecurity risk management, strategy, governance, and incident exposure. Some requirements apply to this year—for example, disclosures for fiscal years ending December 15, 2023, or later have new annual reporting requirements. As a result, organizations are wondering about how these new rules impact them. In this post, we’ll help unpack the new rules, what they mean to you, and what your DevOps and DevSecOps teams might need to implement in response.

New Profiles Now on DZone!

Aggregated on: 2023-12-01 21:42:42

Hello DZone Community! Recently, you might have seen our announcement about the updates to the Core program. We’ve received a lot of great feedback about the new program, and we’re very excited to continue growing and expanding it to more members!

Java 11 to 21: A Visual Guide for Seamless Migration

Aggregated on: 2023-12-01 20:57:42

In the ever-evolving software development landscape, staying up-to-date with the latest technologies is paramount to ensuring your applications' efficiency, security, and maintainability. As a stalwart in the world of programming languages, Java continues to transform to meet the demands of modern development practices. One such significant transition is the migration from Java 21 to Java 11. In this comprehensive article, we embark on a journey to explore the intricacies of migrating from the cutting-edge Java 21 to the robust and widely adopted Java 11. We will delve into this migration process, offering a step-by-step guide to demystify the complexities and facilitate a seamless transition for developers and organizations.

The Importance of Master Data Management (MDM)

Aggregated on: 2023-12-01 17:57:41

Why Master Data Management Matters Picture a multinational enterprise laden with systems, departments, and workflows, all pulsating with data. The anatomy of this organization is complex, and at its heart is the "master data"—the foundational information upon which everything else pivots. The question begging an answer is, how can businesses ensure that this critical data remains consistent and accurate? This inquiry forms the cornerstone of Master Data Management (MDM), a discipline focused on the integrity and coherence of core business information. The Anatomy of Master Data To appreciate the significance of MDM, we first need to grasp what master data actually is. Unlike transactional data, which captures the events occurring within an organization, or analytical data, which serves the purpose of insight generation, master data refers to the core information that represents the business entities that are key to an enterprise's operations. This could be customer names, product IDs, employee records, and other foundational information.

Unlocking Seamless Customer Relationship Management With React Integration Features

Aggregated on: 2023-12-01 17:42:42

In the ever-evolving landscape of customer relationship management (CRM), businesses are constantly seeking innovative solutions to streamline their processes and enhance user experiences. One such advancement is the integration of CRM systems with React, a powerful JavaScript library for building user interfaces. This integration opens up a world of possibilities, allowing businesses to create dynamic, responsive, and highly interactive CRM applications. In this blog post, we'll explore the various features and benefits of integrating CRM with React and how this collaboration can revolutionize the way businesses manage and nurture their customer relationships. Understanding CRM and Its Evolution Before delving into the integration of CRM with React, it's essential to grasp the fundamentals of Customer Relationship Management. CRM is a strategic approach that businesses use to manage and analyze customer interactions throughout the customer lifecycle, with the goal of improving customer relationships, retaining customers, and driving sales growth.

Top Five Pitfalls of On-Call Scheduling

Aggregated on: 2023-12-01 17:27:41

On-call schedules ensure that there’s someone available day and night to fix or escalate any issues that arise. Using an on-call schedule helps keep things running smoothly. These on-call workers can be anyone from nurses and doctors required to respond to emergencies to IT and software engineering staff who need to fix service outages or significant bugs. Being on-call can be challenging and stressful. But with the proper practices in place, on-call schedules can fit well into an employee’s work-life balance while still meeting the organization’s needs.

Amazon Neptune Introduces a New Analytics Engine and the One Graph Vision

Aggregated on: 2023-12-01 16:57:41

It's not every day that you hear product leads questioning the utility of their own products. Brad Bebee, the general manager of Amazon Neptune, was all serious when he said that most customers don't actually want a graph database. However, that statement needs contextualization. Suppose Bebee had meant that in the literal sense, the team himself and Amazon Neptune Principal Product Manager Denise Gosnell lead would not have bothered developing and releasing a brand new analytics engine for their customers. We caught up with Bebee and Gosnell to discuss Amazon Neptune's new features and the broader vision.

Why Device Farms Are Crucial for Streamlining Software Testing and Improving Efficiency

Aggregated on: 2023-12-01 16:42:41

With over 6.5 billion smartphones in use worldwide, developing a mobile app that provides a seamless user experience across all devices is not an easy task. Before releasing an app to the public, extensive testing is required to ensure compatibility across various operating systems, screen sizes, networks, browsers, and real-world usage scenarios. While in-house testing on a few devices is a good start, it is nearly impossible for a team to secure and test their app on the full spectrum of mobile devices. This is where device farms come in as an efficient solution for comprehensive mobile app testing. Device farms provide developers with on-demand access to a vast array of real mobile devices and networks. By leveraging these remote testing labs, app creators can ensure functionality and usability on the thousands of device configurations in the market today. Additionally, device farms enable testing on both new and older model devices, as developers must account for consumers who don’t upgrade to the latest hardware each year. This article will explore the capabilities of device farms for mobile app testing and how they can help developers release higher-quality apps to the public.

End-To-End Testing Unveiled: Navigating Challenges With a Personal Experience

Aggregated on: 2023-12-01 16:27:41

In the dynamic world of software development, quality assurance stands as a formidable sentinel guarding the integrity and reliability of the digital realm we inhabit. Amidst the myriad testing methodologies, one that often takes center stage is end-to-end testing. This is a story of my personal journey through the realm of end-to-end testing, replete with challenges faced, lessons learned, and solutions discovered. The Beginning of the Journey Like many testers, my journey into the world of end-to-end testing started with a fundamental question: What is end-to-end testing, and why is it so crucial?

Migrating Monolith Application to Microservices

Aggregated on: 2023-12-01 16:27:41

Over the years, I have worked with various Monolith applications and migrated a few of them to micro-services. I am going to write about what I learned and the strategy I used from my experience for a successful migration. In this post, I’ll use AWS for the reference, but the underlying principle will remain the same and can be used for any type of infrastructure. The Monolith A monolith is a large code repository with all the functionality implemented in a single place. This makes it complex and hard to maintain as application features and complexity increase. The code repository contains not only all the core logic to support related functionality but also code to support unrelated functionality. Even a minor bug fix or feature release will need testing to complete the application. The main pains I have faced are:

Handling Errors and Maintaining Data Integrity in ETL Processes

Aggregated on: 2023-12-01 15:57:41

Error Mitigation in ETL Workflows ETL — Extract, Transform, Load — is far more than a mere buzzword in today’s data-driven landscape. This methodology sits at the crossroads of technology and business, making it integral to modern data architectures. Yet, the complexities and intricacies involved in ETL processes make them susceptible to errors. These errors are not just 'bugs' but can be formidable roadblocks that could undermine data integrity, jeopardize business decisions, and lead to significant financial loss. Given the pivotal role that ETL processes play in organizational data management, understanding how to handle and mitigate these errors is non-negotiable. In this blog, we will explore the different kinds of ETL errors you might encounter and examine both proactive and reactive strategies to manage them effectively. The Intricacies and Multilayered Complexities of ETL Workflows The phrase "ETL" may sound straightforward—after all, it's just about extracting, transforming, and loading data. However, anyone who has architected or managed ETL workflows knows that the simplicity of the acronym belies a host of underlying complexities. The devil, as they say, is in the details.

Building Intelligent Chatbots With Streamlit, OpenAI, and Elasticsearch

Aggregated on: 2023-12-01 15:42:41

In the dynamic landscape of modern application development, the synthesis of Streamlit, OpenAI, and Elasticsearch presents an exciting opportunity to craft intelligent chatbot applications that transcend conventional interactions. This article guides developers through the process of building a sophisticated chatbot that seamlessly integrates the simplicity of Streamlit, the natural language processing prowess of OpenAI, and the robust search capabilities of Elasticsearch. As we navigate through each component, from setting up the development environment to optimizing performance and deployment, readers will gain invaluable insights into harnessing the power of these technologies. Join us in exploring how this potent trio can elevate user engagement, foster more intuitive conversations, and redefine the possibilities of interactive, AI-driven applications. What Is Streamlit? Streamlit is a powerful and user-friendly Python library designed to simplify the creation of web applications, particularly for data science and machine learning projects. It stands out for its ability to transform data scripts into interactive and shareable web apps with minimal code, making it accessible to both beginners and experienced developers. Streamlit's emphasis on simplicity and rapid prototyping significantly reduces the learning curve associated with web development, allowing developers to focus on the functionality and user experience of their applications.

The Top 5 Tools for Automated Front-End Testing

Aggregated on: 2023-12-01 15:27:41

Front-end testing refers to the evaluation of the user interface (UI) and user experience (UX) of a web application. As it guarantees that the program is user-friendly and operates as planned, this phase is essential in the software development process. Automated front-end testing involves utilizing tools to automate the testing procedure. This approach saves time and resources by allowing testers to run tests efficiently. In addition, it improves testing quality by allowing for the testing of a variety of scenarios, making it easier to discover problems that would otherwise be impossible to find.

Quarkus 3: The Future of Java Microservices With Virtual Threads and Beyond

Aggregated on: 2023-12-01 14:12:41

Over the past four years, developers have harnessed the power of Quarkus, experiencing its transformative capabilities in evolving Java microservices from local development to cloud deployments. As we stand on the brink of a new era, Quarkus 3 beckons with a promise of even more enhanced features, elevating developer experience, performance, scalability, and seamless cloud integration. In this enlightening journey, let’s delve into the heart of Quarkus 3's integration with virtual threads (Project Loom). You will learn how Quarkus enables you to simplify the creation of asynchronous concurrent applications, leveraging virtual threads for unparalleled scalability while ensuring efficient memory usage and peak performance.

Embeddings and Vector Databases: A Hands-On Guide!

Aggregated on: 2023-12-01 13:57:41

At the heart of this revolution lies the concept of vector databases, a groundbreaking development that is reshaping how we handle complex data. Unlike traditional relational databases, these are uniquely equipped to manage and process high-dimensional vector data — which is intrinsic to many AI and machine learning applications. As we delve deeper into the era of advanced AI, vector databases are emerging as critical tools, offering unparalleled efficiency and accuracy in handling the vast, intricate datasets generated by generative AI models. This article aims to explore the pivotal role of vector databases in the world of generative AI, highlighting their functionality, how they work, use cases, and a hands-on tutorial.

The Power of Data-Driven Testing: A Deep Dive into Jakarta Persistence Specifications and NoSQL

Aggregated on: 2023-12-01 13:42:41

Software development is an ever-changing field. In this landscape, achieving high-quality code is crucial. However, initial challenges arise due to legacy code, undefined development practices, and numerous proofs of concepts. This article explores the transformative journey of testing modernization using Jakarta Persistence Specifications (Jakarta Data and Jakarta NoSQL) and open-source tools. We’ll focus on six crucial steps to enhance software quality, utilizing the power of data-driven testing. The Initial Challenge: Legacy Code and Undefined Practices The project’s starting point involved dealing with legacy code from various companies dating back to 2017. The need for testing modernization was evident, with no defined development practices and several proofs of concepts surrounding the project. The project contributors faced the challenge of establishing a cohesive testing strategy and improving code quality.

Unpacking Our Findings From Assessing Numerous Infrastructures: Part 1

Aggregated on: 2023-12-01 13:12:41

You can’t improve what you don’t measure. When things are not analyzed, changes become responses to hefty cloud bills or security breaches. AWS's Well-Architected framework can help you identify issues early and streamline your approach to ensure resilient, consistent, and scalable outcomes.

Making Spring AI and OpenAI GPT Useful With RAG on Your Own Documents

Aggregated on: 2023-12-01 12:57:41

The AIDocumentLibraryChat project uses the Spring AI project with OpenAI to search in a document library for answers to questions. To do that, Retrieval Augmented Generation is used on the documents. Retrieval Augmented Generation The process looks like this:

Optimizing PgBench for CockroachDB Part 3

Aggregated on: 2023-12-01 12:57:41

Previous Articles Previous articles on PgBench and CockoachDB: Using PgBench with CockroachDB Serverless Optimizing PgBench for CockroachDB Part 1 Optimizing PgBench for CockroachDB Part 2 Motivation For the longest time, CockroachDB only supported serializable isolation. In our next release after 23.1, CockroachDB will additionally support read committed isolation. The idea here is that users from other RDBMS tend to face many challenges with application migrations due to the excessive contention stemming from serializable isolation. To ease the migration woes, read committed isolation will provide an easy on-ramp for those applications. Since read-committed isolation is less strict, it has the additional benefit of being more performant at the cost of data anomalies. Today, we're going to take everything we've learned so far in my series and apply it to read committed isolation.