News Aggregator

Trunk-Based Git Model

Aggregated on: 2024-01-02 18:31:43

What Is Trunk-Based Development? To create high-quality software, we must be able to trace any changes and, if necessary, roll them back. In trunk-based development, developers frequently merge minor updates into a shared repository, often referred to as the core or trunk (usually the main or master branch). Within trunk-based development, developers create short-lived branches with only a few commits. This approach helps ensure a smooth flow of production releases, even as the team size and codebase complexity increase. Main branch usage - Engineers actively collaborate on the main/master branch, integrating their changes frequently Short-lived feature branches - Goal is to complete work on these branches quickly and merge them back into the main/master branch Frequent integration - Engineers perform multiple integrations daily Reduced branching complexity - Maintain simple branching structures and naming conventions Early detection of issues - Integrations aid in identifying issues and bugs during the development phase Continuous Delivery/Deployment - Changes are always in a deployable state Feature toggles - Feature flags used to hide incomplete or work-in-progress features Trunk-Based Development (Image Source ) Benefits of Trunk-Based Development Here are some benefits of trunk-based development:

Best JavaScript Chart Libraries 2024: Finding the Right Fit for Your JS Applications

Aggregated on: 2024-01-02 18:31:43

As the new year approaches, I’d like to review the landscape for JavaScript Chart libraries in 2024. Javascript is a popular language used by millions of applications worldwide. There are many Javascript chart libraries available, and choosing the right one can be a difficult decision. “Best” is a subjective term, so we’re going to explore which selection criteria to apply for your specific needs, whether that’s ease of use, big data, complexity, or simplicity. A Brief Overview of the JavaScript Chart Library Landscape in 2024 Searching on npm.js for ‘Chart‘ yields 6,000 packages. The most popular appear at the top of the search, which includes chart.js with almost 2 million downloads per week, recharts; a popular react JS chart library, d3.js; a popular (but complex) raw SVG data-visualization library, ApexCharts, Plotly, SciChart and more.

Root Cause Analysis in Software Development Teams

Aggregated on: 2024-01-02 18:01:43

Picture this: your code's misbehaving, and you're knee-deep in debugging chaos. It's something that no software developer likes to phase. It's not just about slapping Band-Aids on errors; it's about digging deep, Sherlock-style, to unveil the real troublemakers. One of the great tools that can help you with that is Root Cause Analysis (RCA). Root cause analysis (RCA) is a structured and effective process to find the root cause of issues in a software project team. If performed systematically, it can improve the performance and quality of the deliverables and the processes, not only at the team level but also across the organization.

Human-Centered Approach to Service Reliability: Building Culture, Communication, and Collaboration

Aggregated on: 2024-01-02 18:01:43

In the complex world of service reliability, the human element remains crucial despite the focus on digital metrics. Culture, communication, and collaboration are essential for organizations to deliver reliable services. In this article, I am going to dissect the integral role of human factors in ensuring service reliability and demonstrate the symbiotic relationship between technology and the individuals behind it. Reliability-Focused Culture First of all, let’s define what is a reliability-focused culture. Here are the key aspects and features that help build a culture of reliability and constant improvement across the organization.

BankNext Case Study: JUnit Mockito Automation

Aggregated on: 2024-01-02 17:46:43

BankNext’s massive production environment has more than 300 live microservices. Multiple squads working concurrently on these SVCs heightens the risk of breaking functionality. Adding JUnits and code coverage manually to existing and new code is arduous and painfully slow. Challenges With Manual JUnits Time-intensive activity to write proper useful JUnits manually. Lacks standardization because each one takes different approaches. Deficient/incorrect JUnits are created due to lack of time. Manual sync-up of existing JUnits due to changing code is impractical. Writing JUnits manually for legacy code is a nightmare. The least priority is allotted to JUnits due to deadlines; hence gets skipped. Code quality suffers immensely, and technical debt piles up. Solution: JUnit-Mockito Automation GitHub Automation takes in the Class name and creates a legal working JUnits. These generated JUnits contain the necessary Mockito mocks. Handles JUnits for RestControllers, Services, Handlers, Kafka classes, etc. Thus, it accomplishes > 70% code coverage in almost all scenarios. Automation Capabilities Works for both SpringBoot 2.x and 3.x Maven-based applications. Almost zero setup effort. Takes the local path of your application & very basic user inputs. Utilizes Reflection utils to deduce application structure details. Seamlessly identify the required Mockbeans. Automatically generates “When-Then” Mockito mocks. Generates Jacoco code coverage reports. Structure of a Legal JUnit Mandatory portions: 3 Invoke the target test method Mock any interactions that are external to this class Check the actual output matches the expected assert/verify Identify and declare all external classes as MockBeans Stub the expected responses from these MockBean interactions Below are the ground rules for a basic legal working JUnit Shell 0" data-lang="text/x-sh"> Junit-Mockito Ground Rules 1- target mtd to be tested createCustomer is a void returnType 2- external mtd invoked .delete is a void returnType 3- when-then : doNothing whenInvoke .delete 4- assertion : verify .delete called 1 times 1- target mtd to be tested createCustomer is a void returnType 2- external mtd invoked .save is a Customer returnType 3- when-then : when save then return new Customer 4- assertion : verify .save called 1 times 1- target mtd to be tested createCustomer is a Customer returnType 2- external mtd invoked .save is a Customer returnType 3- when-then : when save then return new Customer 4- assertion : assert result instanceof Customer / Customer is not null 1- target mtd to be tested createCustomer is a Customer returnType 2- external mtd invoked .findAll is a List returnType 3- when-then : when findAll then return new ArrayList 4- assertion : assert result instanceof List / List.size >0

Comparing WebHooks and Event Consumption

Aggregated on: 2024-01-02 17:46:43

In event-driven architecture and API integration, two vital concepts stand out: WebHooks and event consumption. Both are mechanisms used to facilitate communication between different applications or services. Yet, they differ significantly in their approaches and functionalities, and by the end of this article, you will learn why consuming events can be a much more robust option than serving them using a webhook. The foundational premise of the article assumes you function as a platform that wants or already delivers internal events to your clients through WebHooks.

Fast Deployments of Microservices Using Ansible and Kubernetes

Aggregated on: 2024-01-02 17:31:43

Does the time your CI/CD pipeline takes to deploy hold you back during development testing? This article demonstrates a faster way to develop Spring Boot microservices using a bare-metal Kubernetes cluster that runs on your own development machine. Recipe for Success This is the fourth article in a series on Ansible and Kubernetes. In the first post, I explained how to get Ansible up and running on a Linux virtual machine inside Windows. Subsequent posts demonstrated how to use Ansible to get a local Kubernetes cluster going on Ubuntu 20.04. It was tested on both native Linux- and Windows-based virtual machines running Linux. The last-mentioned approach works best when your devbox has a separate network adaptor that can be dedicated for use by the virtual machines.

The Impact of 5G Connectivity on Mobile App Development

Aggregated on: 2024-01-02 17:31:43

In today's fast-paced digital landscape, 5G connectivity stands as a revolutionary technology, particularly in the realm of mobile app development. As the fifth generation of wireless communication, 5G is poised to significantly enhance the functionality, efficiency, and overall user experience of mobile applications. This paper aims to shed light on the profound impact of 5G technology on app development, tracing its evolution, understanding its unique features, and exploring its potential future implications. Understanding 5G Technology 5G stands for the fifth generation of wireless communications technology that surpasses its predecessors, particularly 4G, in speed, reliability, and capacity. It operates on a high-frequency spectrum, enabling data transmission at an unprecedented speed. This breakthrough in technology not only facilitates faster download and upload speeds but also promises lower latency, thus enhancing real-time interactions. Moreover, it's designed to connect a myriad of devices simultaneously, thus opening a gateway for advanced Internet of Things (IoT) applications.

Geo-Zoning Through Driving Distance Using K-Medoids Algorithm

Aggregated on: 2024-01-02 17:31:43

Geo-Zoning is a method used to partition a geographical area into distinct zones or regions, with a set of rules or guidelines governing activities and land use within its boundaries using driving distance or driving time. This concept is widely used in urban planning, land use management, representatives to locate customers seamlessly, and various other fields. The K-Medoid algorithm is a partition technique of clustering that clusters into K groups around medoids, which are data points representative of clusters; unlike the k-means algorithm, which calculates the mean for each cluster to minimize the variance, the k-Medoids algorithm selects actual data points to represent the clusters in small equidistant K groups.

Kafka Link: Ingesting Data From MongoDB to Capella Columnar

Aggregated on: 2024-01-02 17:01:43

Navigating the dynamic landscape of Analytics and OLAP Systems involves the intricate art of querying and extracting valuable insights from operational databases. Couchbase has recently unveiled Capella Columnar, a cutting-edge addition to its NoSQL Analytics offerings. Capella Columnar goes beyond the conventional, supporting a diverse array of data sources, including MongoDB, DynamoDB, and MySQL. This blog embarks on a fascinating exploration into the integration of Capella Columnar with MongoDB, shining a spotlight on the Link that orchestrates real-time data ingestion from MongoDB collections to Capella Columnar collections. This seamless integration sets the stage for conducting analytical queries on the ingested data, unlocking new capability dimensions within Capella Columnar.

Architecture Patterns: Publish/Subscribe

Aggregated on: 2024-01-02 17:01:43

The Publish/Subscribe (Pub/Sub) pattern is a widely-used software architecture paradigm, particularly relevant in the design of distributed, messaging-driven systems. The communication framework is decoupled, scalable, and dynamic, making it useful for addressing complex software requirements in modern application development. At its core, the Pub/Sub pattern is about decoupling the message producer (publisher) from the message consumer (subscriber). In this framework, publishers broadcast messages without the knowledge of subscribers, and subscribers receive messages based on their interest without knowing about publishers. This decoupling is facilitated through a central component known as the message broker or event bus, which manages the delivery of messages.

Efficient String Formatting With Python f-Strings

Aggregated on: 2024-01-02 15:46:43

f-strings are a feature introduced in Python 3.6 to simplify string formatting. It provides a concise and readable way to embed expressions inside string literals, making string formatting more intuitive and efficient. Basic Syntax f-strings are created by prefixing a string literal with the letter 'f.' Inside the string, expressions enclosed in curly braces {} are evaluated and replaced with their values at runtime.

Exploring Java Stream API's peek Method

Aggregated on: 2024-01-02 15:01:43

The peek method is a powerful and often underutilized feature in the Java Stream API. The peek method is introduced to provide a mechanism for debugging and gaining insights into intermediate stages of stream pipelines and offers a window into the transformation of the data facilitating a clear understanding of the flow of elements within the stream. Basic Syntax The basic syntax of the peek method involves inserting it into a stream pipeline, typically before a terminal operation. Its usage can be illustrated as follows:

QA Outsourcing: Your Guide to Outsourcing Companies and Why Outsource QA

Aggregated on: 2024-01-02 14:46:43

As the world around us is going increasingly digital, and as customers have come to expect nothing but stellar performance, outstanding usability, and unquestionable security, the issue of software quality has become one of the most crucial in the software development process. For some companies, building an on-site team of QA experts is the preferred option. However, software quality assurance outsourcing is rapidly becoming a major alternative to in-house QA operations. Outsourcing software testing services brings countless benefits to the entire QA process. In this guide, we are going to discuss why companies outsource QA engineers and other testing roles, how to find and hire the perfect team of QA testers, and how to make the most of outsourcing testing.

Non-Functional Testing

Aggregated on: 2024-01-02 13:16:43

Functional testing is fairly straight-forward and easy-to-understand: does your software behave as designed, or, perhaps, as your users expect? Examples of functional testing could be: Are the items selected correctly added to the user's shopping cart? Does a patient's dashboard show dangerous readings in red? Is the email address validated when the user updates her profile? Does a RESTful API call return the correct HTTP status code upon success or error? Applications are only applications due to their raison d'être, e.g., their functional requirements; otherwise why bother.

Fuzzing in Software Engineering

Aggregated on: 2024-01-01 23:01:42

Fuzzing, also known as fuzz testing, is an automated software testing technique that involves providing invalid, unexpected, or random data (fuzz) as inputs to a computer program. The goal is to find coding errors, bugs, security vulnerabilities, and loopholes that can be exploited. This article starts by explaining some basic types of fuzzing. The "testing the lock" metaphor is then used to explain the nuts and bolts of this technique. A list of available tools is given and a set of best practices are explored for fuzzing to be conducted ethically, effectively, and safely. Types of Fuzzing Fuzzing, as a versatile software testing technique, can be categorized into several types based on the methodology and the level of knowledge about the software being tested. Each type of fuzzing has its unique approach and is suitable for different testing scenarios.

Unlocking the Secrets of Data Privacy: Navigating the World of Data Anonymization, Part 1

Aggregated on: 2024-01-01 22:16:42

In today's data-driven world, ensuring individual data privacy has become critical as organizations rely on extensive data for decision-making, research, and customer engagement. Data anonymization is a technique that transforms personal data to safeguard personal information while maintaining its utility. This balance allows organizations to leverage data without compromising privacy. The rise of Big Data and Advanced Analytics has heightened the necessity for efficient anonymization methods. In our first series of articles about ensuring data privacy using data anonymization techniques, we will explore the importance of data anonymization, its ethical and legal implications, and its challenges. The following articles will review critical data anonymization techniques and their advantages and limitations.

Enhancing Code Clarity With Python Namedtuples

Aggregated on: 2023-12-31 09:28:00

Python’s collection module has a feature called ‘Namedtuple’, a ‘Namedtuple’ is a tuple with named elements making code more expressive. Just like dictionaries in Python, ‘Namedtuple’ allows us to access the elements using a member of a tuple rather than an index. Creating a Namedtuple To create a namedtuple we have to use the function ‘namedtuple’ from the collection module.

Exploring Throttling in Java: Simple Implementation Examples - Part 1

Aggregated on: 2023-12-31 08:58:00

In the world of software development, effectively managing resource consumption and ensuring fair usage of services are vital considerations for building scalable and robust applications. Throttling, the practice of controlling the rate at which certain operations are performed, emerges as a crucial mechanism for achieving these objectives. In this article, we'll delve into various ways to implement throttling in Java, presenting diverse strategies with practical examples. Disclaimer: In this article, I focus on uncomplicated single-threaded illustrations to address fundamental scenarios.

The Rise of Low-Code/No-Code Platforms in Enterprise Development

Aggregated on: 2023-12-31 08:43:00

In the realm of software development, a significant shift is underway. The emergence of low-code and no-code platforms is revolutionizing how enterprises approach application development. Traditionally, software development has been the purview of skilled programmers, requiring extensive knowledge of coding languages and development frameworks. However, the rise of LCNC platforms is altering this landscape, making software development more accessible to a broader range of individuals, including those without formal programming training. The Emergence of LCNC Platforms Historical Context The idea of simplifying the often complex process of programming has been around for quite some time now. Over the years, a variety of tools have been introduced to make programming more accessible and less daunting for those who aren't necessarily experts in the field. These tools have included visual programming languages that make use of graphics rather than text to represent programming concepts, as well as intuitive drag-and-drop interfaces that allow for the construction of software without the need for written code.

Knowledge Graphs and Analytics Without Graph Databases for Gen-AI

Aggregated on: 2023-12-31 07:58:00

Graphs are more relevant and useful today than ever. Thanks to the AI revolution happening right now, engineers are thinking about the opportunities around Gen-AI, leveraging open Gen-AI solutions with dynamic prompting, data grounding, and masking which further pushes them to think about effective solutions like knowledge graphs. Engineer, Mary is working on a data grounding problem and is considering building their Knowledge Graph for an AI solution for personalized product recommendations at work, and starts to wonder about

Leveraging AI-Driven Cloud Services for Enhanced AML Compliance in Banking

Aggregated on: 2023-12-31 07:28:00

Humans have always explored ways to make human lives more efficient, faster, and productive and enable us to do more in the limited available time. Throughout human existence, there have been millions or billions of inventions that have come into existence to solve a problem or a specific human need, again with the main objective that is to enhance the quality of Human life and existence. In this relentless pursuit of operational efficiency, continuously evolving fields such as the banking sector continually seek innovative solutions. The advent of artificial intelligence (AI) and cloud computing has revolutionized numerous industries, including banking, particularly in the realm of Anti-Money Laundering (AML) compliance. On a fundamental level, AI enables machines to learn human problems and solve them at a faster pace with more predictability and accuracy which in turn helps the human to make better or rather more qualified decisions. Banking and financial institutions deal with massive volumes of data in the form of transactions, and customer information such as demographics, address, etc.

LLM Strategies for Product Managers

Aggregated on: 2023-12-30 20:43:00

Embarking on the exciting journey of bringing a product from idea to market requires careful planning and storytelling. Product managers play a crucial role in defining and guiding the success of a product. From the inception of an idea to its market launch, product managers have to navigate through various challenges and make strategic decisions. As a product manager, crafting compelling narratives and strategies is key to success. As the LLM is disrupting the market PMs can use LLMs to build effective strategies at each stage of the product lifecycle to improve their productivity. This article is all about identifying the life cycle from ideation to market and how we can use prompt engineering to query an LLM model and increase productivity as a product manager.

What I Learned About the WebAssembly Memory Model & How to Debug Memory Leaks

Aggregated on: 2023-12-30 19:27:59

So I've been working on a project for a while to create a real-time, high-performance JavaScript Chart Library. This project uses quite an ambitious & novel tech stack including a large legacy codebase in C/C++ which is compiled to WebAssembly using Emscripten, targetting WebGL, and a TypeScript API wrapper allowing you to load the charts in JS without having to worry about the underlying Wasm. First Up, Why Use Wasm at All? WebAssembly is an exciting technology and offers performance benefits over JavaScript in many cases. Also, in this case, a legacy C++ codebase already handled much of the rendering for charts & graphs in OpenGL and needed only a little work to be able to target WebGL.

Managing a Single-Writer RDBMS for a High-Scale Service

Aggregated on: 2023-12-30 19:27:59

This article describes my experience operating a high-scale service backed by a single-writer RDBMS. The system's design was good for a quick launch and maybe an initial few years while the traffic was less. However, it resulted in a lot of pain once the scale increased, and the database problems caused many customer outages and heavy operational load for the team. I will recount the details, lessons learned, and advice for avoiding similar mistakes. What Happened? The service had many hosts servicing the typical CRUD (Create, Read, Update, and Delete) APIs backed by MySQL running on three very beefy hosts. One host acted as leader, servicing writes and strongly consistent reads (i.e., reading the most updated value), and two followers continuously syncing updates from the leader working as real-only:

Python Context Managers Simplified

Aggregated on: 2023-12-29 20:57:59

Context managers in Python are objects that manage the allocation and release of resources within a specific code block. They are used with the with statement, ensuring the proper cleanup of resources even if the exception occurs. Context managers define the methods _ _enter_ _ () and _ _exit_ _(). The enter method is used to set up the resources before a block of code is executed and the exit method is used to clean up the resources after the code block is executed, regardless of whether the code block completes successfully or raises an exception. Here is a simple example:

Create a Complete Computer Vision App in Minutes With Just Two Python Functions

Aggregated on: 2023-12-29 20:27:59

This article starts with an overview of what a typical computer vision application requires. Then, it introduces Pipeless, an open-source framework that offers a serverless development experience for embedded computer vision. Finally, you will find a detailed step-by-step guide on the creation and execution of a simple object detection app with just a couple of Python functions and a model. Inside a Computer Vision Application "The art of identifying visual events via a camera interface and reacting to them"

SQL Looks Like English Is a Well-Intentioned Error

Aggregated on: 2023-12-29 20:27:59

We know that SQL is very similar to English, and simple SQL statements can be read directly as English. Except for SQL, other major programming languages do not have this feature, and even if there are English words in the syntax, they are only used as mnemonics for certain concepts or operations, and what is written is a formal program statement rather than an English sentence. But SQL is different. It will write the entire sentence in a form that conforms to English habits, and also add many unnecessary prepositions, such as FROM being the operation subject of the statement but having to be written in the behind, and after GROUP, an extra BY needs to be written. Why is this happening? The easy reason to think of is to hope that non-programmers can also use it. Users can write SQL to query data as long as they can read and write English. This is clearly a good intention, but the result is not satisfactory. The vast majority of business personnel only know how to write very simple queries using SQL, and for such queries, there is now powerful BI software that can provide a more convenient and intuitive visual interface to assist, without the need for handwritten statements. This design intention loses its meaning. On the contrary, the vast majority of users that frequently use SQL for calculations are still programmers, and SQL is still a programming language, like or unlike English, it does not have much difference in understanding for programmers, on the contrary, it can bring considerable difficulties.

Project Hygiene, Part 2: Combatting Goodhart’s Law and Other “Project Smells”

Aggregated on: 2023-12-29 19:42:59

This is a continuation of the Project Hygiene series about best software project practices that started with this article. Background “It works until it doesn’t” is a phrase that sounds like a truism at first glance but can hold a lot of insight in software development. Take, for instance, the very software that gets produced. There is no shortage of jokes and memes about how the “prettiness” of what the end-user sees when running a software application is a mere façade that hides a nightmare of kludges, “temporary” fixes that have become permanent, and other less-than-ideal practices. These get bundled up into a program that works just as far as the developers have planned out; a use case that falls outside of what the application has been designed for could cause the entire rickety code base to fall apart. When a catastrophe of this kind does occur, a post-mortem is usually conducted to find out just how things went so wrong. Maybe it was some black-swan moment that simply never could’ve been predicted (and would be unlikely to occur again in the future), but it’s just as possible that there was some issue within the project that never got treated until it was too late.

Mutation Testing: The Art of Deliberately Introducing Issues in Your Code

Aggregated on: 2023-12-29 18:57:59

Mutation testing is an innovative approach in software testing that involves intentionally introducing small changes, or "mutations," to the source code of a program. The purpose? To test the effectiveness of your test cases and ensure that they can catch even the most subtle faults. In this article, we'll explore how mutation testing works using Python as our language of choice. What Is Mutation Testing? Mutation testing starts with a program that is already passing all its test cases. Then, we introduce slight modifications to the source code, creating what is known as "mutants." These mutants are slightly altered versions of the original program. The key idea is to run your existing test cases against these mutants. If a test case fails, it has successfully "killed" the mutant, indicating that the test case is effective. If all test cases pass, the mutant has survived, suggesting a potential gap in the test coverage.

Key Aspects of API Evolution: Version Control in Multi-Environments With API7 Enterprise

Aggregated on: 2023-12-29 17:27:59

In the rapidly evolving landscape of software systems in today's digital era, API version control has emerged as a critical strategy to ensure the robust evolution of systems. Particularly in multi-environment scenarios, effective management and tracking of API changes become paramount, and the API7 Enterprise, serving as a crucial intermediary layer, plays a pivotal role. Core Principles of API Version Control API version control serves as a vital mechanism to safeguard system evolution, especially during urgent situations. It demands rapid, stable, and controllable rollback capabilities to ensure swift degradation to a previously stable state when issues arise. Conversely, version upgrades require smooth transitions, especially when potential incompatibilities exist between preceding and succeeding versions. By precisely comparing changes between versions, systems can pinpoint incompatibilities, making the upgrade process more controllable and secure.

How AI and Data Science in 2024 Will Shape Tomorrow's World

Aggregated on: 2023-12-29 16:42:59

In the ever-evolving landscape of technology, the tandem growth of Artificial Intelligence (AI) and Data Science has emerged as a beacon of hope, promising unparalleled advancements that will significantly impact and enhance various aspects of our lives. As we stand on the cusp of a new era, it is crucial to explore how the integration of AI and Data Science is poised to shape the future and offer solutions to some of humanity's most pressing challenges. Healthcare Revolution One of the most promising domains where future AI and Data Science are set to leave an indelible mark is healthcare. The ability to analyze vast datasets, ranging from patient records to genomic information, enables AI algorithms to predict disease patterns, identify potential outbreaks, and even personalize treatment plans. Imagine a healthcare system that anticipates individual health risks, recommends tailored preventative measures, and assists physicians in making more accurate diagnoses. AI-driven diagnostics and treatment optimization could revolutionize patient care, making healthcare more proactive, precise, and accessible.

Why Is Automation Testing Required for an Application? Know About Advantages of Automation Testing

Aggregated on: 2023-12-29 16:42:59

In today's fast-paced software development landscape, ensuring the quality and reliability of applications is paramount. This is where automation testing services come into play. In this comprehensive guide, we'll explore why automation testing is essential for applications and delve into the advantages of leveraging automation testing services. Why Automation Testing Is a Necessity In the ever-evolving world of software development, manual testing alone is no longer sufficient. Automation testing services have become a necessity due to their ability to streamline the testing process, reduce human error, and accelerate time-to-market. Automation testing service providers employ sophisticated tools and frameworks to create and execute test scripts, resulting in more comprehensive and efficient testing.

Offline Data Pipeline Best Practices Part 2:Optimizing Airflow Job Parameters for Apache Hive

Aggregated on: 2023-12-29 15:27:59

This post series is about mastering offline data pipeline's best practices, focusing on the potent combination of Apache Airflow and data processing engines like Hive and Spark. In Part 1 of our series explored the strategies for enhancing Airflow data pipelines using Apache Hive on AWS EMR. Our primary objective was to attain cost efficiency and establish effective job configurations. In this concluding Part 2, we will extensively explore Apache Spark, another pivotal element in our comprehensive data engineering toolkit. By optimizing the Airflow job parameters specifically for Spark, there is a substantial potential for enhancing performance and realizing substantial cost savings. Why Apache Spark in Airflow? Apache Spark is a really important framework and tool for data processing in companies all about data. It's genuinely outstanding at processing massive amounts of data quickly and efficiently. It's especially great for complex data analytics with fast query performance and advanced analytics capabilities. This makes Spark a preferred choice for enterprises handling vast amounts of data and requiring real-time analytics.

Apache Doris Speeds Up Data Reporting, Tagging, and Data Lake Analytics

Aggregated on: 2023-12-29 14:27:59

As much as we say Apache Doris is an all-in-one data platform that is capable of various analytics workloads, it is always compelling to demonstrate that by real use cases. That's why I would like to share this user story with you. It is about how they leverage the capabilities of Apache Doris in reporting, customer tagging, and data lake analytics and achieve high performance. This fintech service provider is a long-term user of Apache Doris. They have almost 10 clusters for production, hundreds of Doris backend nodes, and thousands of CPU Cores. The total data size is near 1 PB. Every day, they have hundreds of workflows running simultaneously, receive almost 10 billion new data records, and respond to millions of data queries.

Cross-Pollination for Creativity Leveraging LLMs

Aggregated on: 2023-12-29 12:57:59

Large Language models (LLMs) are used for creative tasks such as story writing, poetry, and script writing for plays. There are several GPT-based wrapper tools for advertising slogan creation, generating plot lines, and music compositions. Let's explore how to use LLMs to identify research gaps in a field and leverage the ideas of other fields to inspire new ideas. Problem Statement Researchers need inspiration when they are stuck on a problem. It's common for researchers to get fixated on a particular hypothesis or approach. The vast amount of information can be overwhelming. It is a struggle in itself to sift through the information and identify a potential new path. Interdisciplinary collaboration is often challenging with researchers on both sides not familiar with the jargon of the two fields.

Cloud Optimization: It’s Not the Same for Everyone

Aggregated on: 2023-12-29 12:42:59

Cloud migration is primarily motivated by scalability, flexibility, and cost savings. It allows businesses to create, deliver, and manage software applications while significantly transforming infrastructure, security, and enterprise services. Gartner predicts that companies will invest a remarkable $679 billion in cloud services by 2024. Additionally, the cloud is expected to become an indispensable aspect of business operations by 2028. However, it is important to note that migrating an application to the cloud does not guarantee a successful business outcome or a high return on investment (ROI). While cloud computing offers significant benefits, migration-related costs increase as the desired outcomes become more ambitious. Therefore, companies must carefully consider their ROI objectives on a per-application basis. Not every program needs to be redesigned to be cloud-native, as the requirements may vary.

Software Supply Chain Security

Aggregated on: 2023-12-28 20:57:58

Securing software supply chains has become a first-class consideration — along with coding and CI/CD pipelines — when developing a software product. Far too many vulnerabilities have been subliminally introduced into software products and resulted in catastrophic breaches for us as diligent developers to treat supply chain security as an afterthought. The core practices and principles outlined in this Refcard provide a foundation for creating secure supply chains that produce deliverables and products that others can trust.

How To Use Artificial Intelligence to Optimize DevOps

Aggregated on: 2023-12-28 20:27:58

DevOps and AI make an inseparable pair and impact businesses of all kinds. While DevOps enables speedy product development and easier maintenance of existing deployments, AI transforms the overall system functionality. The DevOps team can rely on artificial intelligence and machine learning for data integration, testing, evaluating, and releasing the system. What’s more, artificial intelligence and machine learning can improve the process driven by DevOps in an efficient, quick, and secure manner. Evaluating the importance of AI and ML in DevOps is beneficial for businesses from the standpoint of developers’ utility and business support. As per the Gartner report, nearly two-fifths of the DevOps community will leverage modern infrastructure and application monitoring solutions consolidated with artificial intelligence by 2023.

SQL Loader - Unix Script - Loading Multiple Data Files in Oracle DB Table

Aggregated on: 2023-12-28 19:57:58

Here I am going to show the power of SQL Loader + Unix Script utility where multiple data files can be loaded by the SQL loader with automated shell scripts. This would be useful while dealing with large chunks of data and when data needs to be moved from one system to another system. It would be suitable for a migration project where large historical data is involved. Then it is not possible to run the SQL loader for each file and wait till it's loaded. So the best option is to keep the Unix program containing the SQL loader command running all the time. Once any file is available in the folder location then it will pick up the files from that folder location and start processing immediately.

Migrating From Lombok to Records in Java

Aggregated on: 2023-12-28 19:42:58

Java, as a programming language, has evolved over the years, introducing new features and improvements to enhance developer productivity and code readability. With the release of Java 14, one notable feature is the introduction of records as a language feature, offering a concise way to define immutable data-carrying classes. If you have been using Lombok to reduce boilerplate code in your Java classes, it's worth considering migrating to records for a more native and standardized approach.

Unveiling the Power of Helidon 4: A Dive Into New Features

Aggregated on: 2023-12-28 19:27:58

In the ever-evolving landscape of microservices development, Helidon has emerged as a beacon of innovation. The release of Helidon 4 brings forth a wave of enhancements and features that promise to redefine the way developers approach microservices architecture. In this article, we embark on a detailed journey, unraveling the intricacies of Helidon 4's new features through insightful examples. From MicroProfile 6.0 compatibility to enhanced support for reactive programming, simplified configuration management, and seamless integration with Oracle Cloud Infrastructure (OCI), Helidon 4 positions itself at the forefront of modern microservices frameworks. The Shift From Netty: Why Simplicity Matters Netty, known for its efficiency and scalability, played a crucial role in powering Helidon's HTTP server in earlier versions. However, as Helidon evolved, the framework's maintainers recognized the need for a simpler and more approachable architecture. This led to the decision to move away from Netty, making room for a more straightforward and user-friendly experience in Helidon 4.

Quantum Coherence Unleashed: Illuminating AI Decision-Making Networks

Aggregated on: 2023-12-28 17:42:58

In the ever-evolving realm of artificial intelligence, a groundbreaking frontier is emerging at the intersection of quantum mechanics and decision-making networks. This uncharted territory promises to revolutionize the very essence of AI systems, ushering in an era of unprecedented efficiency and coherence. Welcome to the world of "Quantum Coherence in AI Decision-Making Networks." Quantum Coherence: A Prelude To comprehend the profound implications of this fusion, let's delve into the enigmatic realm of quantum coherence. In the quantum universe, coherence refers to the synchronized behavior of particles akin to a harmonious dance orchestrated by the laws of quantum mechanics. Harnessing this coherence in the context of AI decision-making networks introduces a paradigm shift, challenging traditional notions of computation.

Transforming Telecom With AI/ML: A Deep Dive Into Smart Networks

Aggregated on: 2023-12-28 16:57:58

The telecommunications industry has become an indispensable part of our interconnected society, fueling various functions ranging from traditional calls to lightning-fast Internet and the ever-expanding Internet of Things (IoT). With the constant evolution of this sector, the dynamic duo of AI and ML is revolutionizing the telecommunications industry, propelling it towards greater network efficiency, unparalleled customer service, and fortified security measures. These cutting-edge technologies equip telecom companies with powerful tools to analyze colossal amounts of data, mitigate network disruptions, create personalized experiences for customers, and fortify their defenses against fraudulent activities. AI/ML for Network Optimization The telecom industry faces the challenge of managing increasingly complex networks while ensuring optimal performance. AI and ML algorithms are being employed to predict network congestion, reduce downtime, and allocate resources efficiently. Here's an example of how machine learning can optimize network performance:

Optimizing Java Applications: Parallel Processing and Result Aggregation Techniques

Aggregated on: 2023-12-28 15:42:58

Parallel processing and result aggregation are powerful techniques in Java programming that can significantly improve the performance and scalability of the system. In this article, we will explore how to implement parallel processing and effectively aggregate results in Java. Understanding Parallel Processing Parallel processing involves dividing a task into smaller subtasks and executing them simultaneously on multiple processors or threads. Java provides robust support for parallel processing through its multi-threading capabilities. By leveraging parallel processing, developers can harness the computing power of modern hardware and execute tasks more efficiently.

Beyond Murphy' Law

Aggregated on: 2023-12-28 15:27:58

Murphy's Law ("Anything that can go wrong will go wrong and at the worst possible time.") is a well-known adage, especially in engineering circles. However, its implications are often misunderstood, especially by the general public. It's not just about the universe conspiring against our systems; it's about recognizing and preparing for potential failures. Many view Murphy's Law as a blend of magic and reality. As Site Reliability Engineers (SREs), we often ponder its true nature. Is it merely a psychological bias where we emphasize failures and overlook our unnoticed successes? Psychology has identified several related biases, including Confirmation and Selection biases. The human brain tends to focus more on improbable failures than successes. Moreover, our grasp of probabilities is often flawed – the Law of Truly Large Numbers suggests that coincidences are, ironically, quite common.

Top 10 Python Applications Transforming the Real World

Aggregated on: 2023-12-28 14:57:58

In our ever-evolving digital landscape, programming languages play a pivotal role in shaping the technological advancements we witness across various industries. Python is a versatile and powerful language that has emerged as a frontrunner in the coding world. With its extensive libraries and frameworks, Python has become the language of choice for over 80% of developers, spanning diverse fields. In this article, we'll delve into the top 10 real-world applications of Python, exploring how it has transformed various domains.

Unlocking Language Models With Powerful Prompts

Aggregated on: 2023-12-28 11:57:58

Large Language Models (LLMs) offer unparalleled capabilities, but unlocking their full potential hinges on crafting effective prompts. The Large Language Models trained on vast troves of data possess an uncanny ability to generate human-quality text, translate languages, write different kinds of creative content, and answer your questions in an informative way. But their raw power remains untapped unless wielded with the right tool: the prompt. The prompt is the guiding hand that shapes the LLM's response. It's the key that unlocks the model's potential and directs its vast knowledge towards your specific needs. Prompt engineering, then, is the art and science of crafting these prompts, inspiring them with the nuance needed to coax the LLM into performing at its best.

Top 9 Role-Based Cloud Certifications for Solution Architects in 2024

Aggregated on: 2023-12-27 19:57:58

Are you excited to become a Cloud Solutions Architect and take your career to new heights? Cloud computing is transforming the way organizations use digital infrastructure, making it a crucial skill to master. If you are interested in the limitless potential of cloud technology, then this guide is tailor-made for you. In this guide, you’ll learn about the top 9 role-based cloud certifications, specifically curated for Solutions Architects. As we approach 2024, we are on the cusp of an exciting era in cloud technology. Together, we will explore nine paramount certifications offered by industry leaders and esteemed organizations, each of which is a stepping stone on your journey to becoming a certified cloud professional.

Navigating Software Development With Kanban

Aggregated on: 2023-12-27 19:27:58

Kanban, a well-known agile framework, has significantly influenced project management and software development. With its roots in Japanese manufacturing practices, Kanban has evolved to meet the changing needs of modern software development. This article explores Kanban's principles, history, benefits, and potential drawbacks and compares it with other agile methodologies. It also discusses tools for implementing Kanban. Kanban, which means "visual signal" or "card" in Japanese, is a workflow management method designed to optimize workflow. It was developed in the late 1940s by Toyota engineer Taiichi Ohno as a scheduling system for lean manufacturing. The application of Kanban to software development began in the early 2000s, providing a more flexible approach to managing software projects.