News AggregatorThe Agile Prompt Engineering FrameworkAggregated on: 2025-03-17 19:28:10 TL; DR: Bridging Agile and AI With Proper Prompt Engineering Agile teams have always sought ways to work smarter without compromising their principles. Many have begun experimenting with new technologies, frameworks, or practices to enhance their way of working. Still, they often struggle to get relevant, actionable results that address their specific challenges. Regarding generative AI, there is a better way for agile practitioners than reinventing the wheel team by team — the Agile Prompt Engineering Framework. Learn why it solves the challenge: a structured approach to prompting AI models designed specifically for agile practitioners who want to leverage this technology as a powerful ally in their journey. View more...Migrating From SQLite to MySQLAggregated on: 2025-03-17 18:28:10 Introducing SQLite SQLite is a kind of open-source RDBMS that is distinguished from most other database management systems built on a client-server model since it is a server-less embedded database. This means that the SQLite database runs within the software that accesses the data, eliminating the need for a separate server. Due to such architecture, SQLite is a highly reliable, efficient system that works perfectly in low-memory environments. One of the major benefits of SQLite is its cross-platform compatibility, allowing it to run on various modern OS. As an RDBMS contained within a C library, SQLite can be utilized by applications written in any programming language that can connect to external libraries written in C. For example, it is ideal for developing embedded software in digital devices, such as mobile phones, game consoles, cameras, and set-top boxes. Additionally, SQLite can serve as a temporary dataset for applications to process data. View more...All About GPU Threads, Warps, and WavefrontsAggregated on: 2025-03-17 17:13:09 On a GPU, the threads are always run as a group of threads called warps. In that sense, the granularity of thread execution is always 32 (or 64, as explained later) on GPU. If a user requests for one thread, that one thread in the warp acts as an active thread while the rest of the threads are inactive. It is not conventional to request a single thread in GPU programming. The threads inside the warp run in parallel (and not concurrent) and execute the instructions in a SIMD (Single Instruction Multiple Data) fashion. View more...Attribute-Level Governance Using Apache Iceberg TablesAggregated on: 2025-03-17 16:28:10 Large organizations where the number of users accessing crucial data is pretty high have to face a lot of challenges in managing fine-grained access. A variety of AWS services like IAM, Lake Formation, and S3 ACL can help in fine-grained access control. But there are scenarios where a single entity containing the global data needs to be accessed by multiple user groups across the system with restrictive access. Also, organizations with a global presence might be working in different environments and with different toolsets, so data movement and cataloging become very tedious. View more...Best Practices for Data Warehouses in Microsoft FabricAggregated on: 2025-03-17 15:28:09 To succeed, companies must transform raw data into actionable insights that support their operational growth. Users maintain separate tools for data lakes, ETL pipelines, and analytical tasks under traditional data warehousing, which results in complex conditions. Users can operate every aspect of their data analytics work via one platform when they use Microsoft Fabric for ingestion, storage, transformation, and analysis. Overview of Microsoft Fabric Data Warehouse Microsoft Fabric combines data lake and warehouse functions into one simplified analytics platform. The platform integrates data engineering with data warehouse, data science, real-time analytics, and Power BI into a single operational space. View more...Top Terraform and OpenTofu Tools to Use in 2025Aggregated on: 2025-03-17 14:28:09 Infrastructure-as-Code (IaC) has become a trusted approach for managing and provisioning infrastructure. As the field evolves, the number of IaC tools continues to grow, with frequent updates, new features, and improvements being introduced. One of the most popular tools in this space is Terraform, a leader in the IaC ecosystem. There is a wide range of smaller tools that work alongside Terraform, adding extra features and making it even more powerful. View more...Rebalancing Agile: Bringing People Back into FocusAggregated on: 2025-03-17 13:43:09 Agile methodologies were introduced to enhance collaboration, foster continuous improvement, and promote the growth of both software and people. The intent was to create a framework that not only improved delivery but also empowered teams to innovate, learn, and contribute beyond their immediate tasks. However, what started as a noble idea has, in many cases, devolved into a system focused purely on delivery. Teams are increasingly confined to ticking checkboxes in user stories, following rigid processes, and participating in endless meetings, leaving little room for creativity, autonomy, or professional growth. View more...Leveraging LLMs for Software TestingAggregated on: 2025-03-17 12:13:09 As software systems become more complex, traditional testing methods often fall short in keeping up with the fast-paced development cycles and changing user needs. Fortunately, advancements in machine learning and generative AI are bringing intelligent and adaptive testing strategies that improve test coverage and decrease maintenance efforts to speed up the entire testing process. This article details using large language models (LLMs) to test a Python codebase project. View more...Top Security Automation Tools for Auto-RemediationAggregated on: 2025-03-17 11:28:09 Speed matters in cybersecurity. Responding to a potential threat in seconds rather than minutes can be the difference between a thwarted attack and a realized one. The problem is that human analysts — however capable they may be — often can’t remediate threats in time. Investigating an alert and executing response actions can be a slow process — and that’s if security teams remediate them at all. Disturbing research from 2023 found that organizations only remediate 13% of vulnerabilities and take an average of 271 days to address the ones they do. So, how can organizations help analysts overcome their — albeit understandable — limitations and remediate issues as soon as they arise? With auto-remediation tools. View more...Accelerating Deep Learning on AWS EC2Aggregated on: 2025-03-14 21:13:08 One common approach to significantly speed up training times and efficiently scale model inference workloads is to deploy GPU-accelerated deep learning microservices to the cloud, enabling flexible, on-demand compute for training and inference tasks. This article provides a comprehensive guide covering the setup and optimization of such a microservice architecture. We’ll explore installing CUDA, choosing the right Amazon EC2 instances, and architecting a scalable, GPU-enabled deep learning platform on AWS. View more...Automate and Standardize IBM ACE Installation With PowerShellAggregated on: 2025-03-14 20:13:08 Tackling the Repetition If you've worked with IBM App Connect Enterprise (ACE) for any length of time, you’re probably familiar with the repetitive nature of installations. Each setup involves the same predictable steps: unpacking the release files, configuring directories, updating scripts, adjusting ODBC entries, setting up the runtime environment, and verifying that everything runs smoothly. While these steps might seem routine, the manual process is inherently prone to human error. A missed step, such as skipping a configuration file or mistyping a path, can cause inconsistencies that lead to operational issues — problems that sometimes take a long time to diagnose and resolve. View more...Build a Scalable E-commerce Platform: System Design OverviewAggregated on: 2025-03-14 19:28:08 Topic: High-level design of an e-commerce platform like Amazon, Walmart, etc. Objective: Big picture, challenges, options to overcome those View more...Event Sourcing 101: When to Use and How to Avoid PitfallsAggregated on: 2025-03-14 18:28:08 Recently, I delivered a lecture to my colleagues on event sourcing, and I realized that this introductory information could be valuable to a broader audience. This article is useful for those interested in the concept of event sourcing and who want to decide if it's a good fit for their projects while avoiding common pitfalls. So, let's dive in. View more...Queries for Optimizing and Debugging PostgreSQL ReplicationAggregated on: 2025-03-14 17:28:08 PostgreSQL logical replication provides the power and organization behind a pgEdge replication cluster, allowing you to replicate tables selectively and, on a more granular level, the changes in those tables. Whether you're using pgEdge Distributed PostgreSQL replication for real-time analytics, low latency, or high availability, optimizing replication configuration and query use allows you to optimize for performance, consistency, and reliability. Postgres replication is a powerful tool for replicating data between databases; unlike physical replication, logical replication gives you more control and flexibility over what data is replicated and how it's used. View more...Smart Cities With Multi-Modal Retrieval-Augmented GenerationAggregated on: 2025-03-14 16:58:08 Why Smart Cities Need Advanced AI Managing cities today is an increasingly complex task. Urban centers face challenges like: Traffic congestion, which affects daily commutes and the economy. Infrastructure maintenance, where damaged roads or broken utilities need quick attention. Air quality and environmental monitoring, critical for public health and safety. City planners, traffic managers, and environmental regulators rely on data to make decisions, but often, this data is siloed or outdated. For example, when a city planner asks, “Which roads need repairs and how should traffic be rerouted?” the answer requires: View more...Building a Real-Time AI-Powered Workplace Safety SystemAggregated on: 2025-03-14 16:28:08 Workplace injuries from poor posture cost industries billions annually. While traditional ergonomic assessments are manual and periodic, we developed an AI-powered solution that provides real-time monitoring and feedback. Here's how we built it using Python, MediaPipe, and OpenCV. View more...AWS Step Functions Local: Mocking Services, HTTP Endpoints LimitationsAggregated on: 2025-03-14 15:43:08 AWS Step Functions Local is a useful tool for testing workflows without deploying them to the cloud. It allows developers to run state machines locally using Docker, enabling faster iteration and debugging. However, while testing our Step Function locally, we encountered significant limitations, particularly when trying to mock an http:endpoint task. View more...DeepSeek on Kubernetes: AI-Powered Reasoning at ScaleAggregated on: 2025-03-14 14:58:08 As artificial intelligence continues to evolve, deploying AI-powered applications efficiently and at scale has become critical. Kubernetes, the de facto orchestration platform, plays a crucial role in managing containerized AI workloads, ensuring scalability, resilience, and ease of management. In this article, we explore DeepSeek on Kubernetes, a deployment that integrates DeepSeek-R1, a powerful reasoning AI model, with Open WebUI for seamless interaction. View more...Stop Wasting Time Writing Code for APIsAggregated on: 2025-03-14 13:13:08 API development should be about solving business problems, not repeating the same tedious tasks over and over again. Yet, for many developers, API creation is still bogged down by inefficiencies — from writing boilerplate code to manually managing integrations, security, and documentation. The traditional approach forces developers to spend too much time on infrastructure and maintenance, instead of focusing on what actually matters: delivering scalable, reliable APIs that support business needs. View more...Building Intelligent Integration Tests for MicroservicesAggregated on: 2025-03-14 12:13:08 Most of the applications today are based on a microservice architecture due to increasing complexities and scalability needs. Testing in such environments can be very challenging, and it requires thoughtful planning and smarter strategies, unlike monolithic applications. In the micro application architecture, we need a robust automation approach to validate interactions between each of the services and applications. This article will cover lessons learned and automation testing strategies that helped optimize overall integration testing. View more...Securing Conversations With LLMsAggregated on: 2025-03-13 21:28:08 Large language models (LLMs) don't need an introduction anymore. Just as "Did you Google it?" was the question 10 years ago, now it's "Did you ask ChatGPT?" As organizations increasingly adopt LLMs, the number of people interacting with them, directly or indirectly, is also increasing exponentially. Today, the use of these models is no longer limited to tech. Healthcare, transportation, media, and many other industries are adopting them. However, along with adoption, one more thing that has grown is security concerns. View more...Functional Endpoints: Alternative to Controllers in WebFluxAggregated on: 2025-03-13 20:13:07 Introduction In general, we’re used to exposing APIs via annotated controllers like this: Java allProducts() { return this.productService.getAllProducts(); }" data-lang="text/x-java"> @GetMapping("/products") public Flux<ProductDto> allProducts() { return this.productService.getAllProducts(); } View more...Exploring Communication Strategies for LWC in SalesforceAggregated on: 2025-03-13 20:13:07 When building a Salesforce application with multiple lightning web components (LWC) as building blocks, it is important to ensure that those components can effectively share information. The method of communication depends on the structure of your lightning components. If one component is built within another component, you create a parent-child relationship, and the way you communicate amongst them is different from how you communicate between two unrelated components. View more...Graceful Shutdown: Spring Framework vs Golang Web ServicesAggregated on: 2025-03-13 18:43:07 Graceful application shutdown is a critical aspect of ensuring service reliability, particularly in high-load systems. In this article, we will explore how graceful shutdown is implemented in two popular technologies: Spring Framework and Golang, using examples that interact with a PostgreSQL database. View more...Playwright: Filter Visible Elements With locator.filter({ visible: true })Aggregated on: 2025-03-13 17:28:07 This blog covers how the new filter visible element option helps in writing more precise, user-focused tests with ease with the option locator.filter({ visible: true }). Playwright has quickly become a go-to tool for end-to-end testing, thanks to its robust API, cross-browser support, and easy handling of modern web applications. One of its standout features is the locator API, which allows testers to precisely target elements on a page. With recent updates, Playwright has added even more power to this API, including a new visible option for the locator.filter() method. View more...Build a REST API With Just 2 Classes in Java and QuarkusAggregated on: 2025-03-13 17:28:07 Developers often look for ways to build RESTful APIs with minimal effort while maintaining clean and maintainable code. Quarkus enables a fully functional CRUD (Create, Read, Update, Delete) API using just two classes. With Hibernate ORM with Panache, Quarkus simplifies entity management, and REST Data with Panache automatically exposes a complete set of RESTful endpoints. This approach reduces the time spent on boilerplate code, allowing developers to focus on business logic rather than infrastructure. View more...Different Garbage Collectors in Java: Exploring the OptionsAggregated on: 2025-03-13 14:43:07 Garbage collection in Java is something that just happens: you don’t have to worry about memory management. Or do you? The garbage collector (GC) runs in the background, quietly doing its work. But this process can have a huge impact on performance. Understanding the concepts of advanced Java GC is invaluable in tuning and troubleshooting applications. View more...The Impact of AI Agents on Modern WorkflowsAggregated on: 2025-03-13 14:28:07 Workflows have long been the backbone of organizational efficiency. From the simplest administrative tasks to the most complex project management processes, workflows help streamline operations, minimize errors, and enhance productivity. However, as AI agents become increasingly sophisticated, they are set to radically reshape how workflows are designed, executed, and optimized. The fusion of human intelligence with AI agents promises to drive unprecedented levels of automation, precision, and agility in the workplace. View more...5 Ways Docker Can Improve Security in Mobile App DevelopmentAggregated on: 2025-03-13 12:28:07 Security is a critical concern in mobile app development, especially with the rise of data breaches and cyber threats. Docker, a platform for developing, shipping, and running applications in containers, offers several advantages that can enhance the security of mobile apps. This article explores five ways Docker can improve security in mobile app development, accompanied by diagrams and code snippets for a clearer understanding. View more...AI-Driven Self-Healing Tests With Playwright, Cucumber, and JSAggregated on: 2025-03-13 11:28:07 Automated testing is essential to modern software development, ensuring stability and reducing manual effort. However, test scripts frequently break due to UI changes, such as modifications in element attributes, structure, or identifiers. Traditional test automation frameworks rely on static locators, making them vulnerable to these changes. AI-powered self-healing automation addresses this challenge by dynamically selecting and adapting locators based on real-time evaluation. Self-healing is crucial for automation testing because it significantly reduces the maintenance overhead associated with test scripts by automatically adapting to changes in the application's user interface. This allows tests to remain reliable and functional even when the underlying code or design is updated, thus saving time and effort for testers while improving overall test stability and efficiency. View more...Handling Concurrent Data Loads in Delta TablesAggregated on: 2025-03-12 21:43:07 Ensuring Reliable Concurrent Writes With Retrying Options Delta Lake is a resilient storage layer that offers ACID transactions, schema enforcement, and data versioning. However, concurrent writes generate contention since different processes are attempting to write, update, or delete at the same time. This process offers a structured retry mechanism with exponential backoff to handle concurrency in Delta tables. Delta Table Concurrent Writes Issues Concurrency failures occur when multiple processes simultaneously attempt to write to the same Delta table. The common failure scenarios are as follows: View more...Using Jetpack Compose With MVI ArchitectureAggregated on: 2025-03-12 20:28:07 Understanding MVVM and MVI MVVM (Model-View-ViewModel) MVVM is one of the most popular architecture patterns in Android development. It helps keep UI logic separate from business logic by using a ViewModel, which acts as a bridge between the View (UI) and the Model (data and logic). The View listens for updates from the ViewModel and updates the UI when needed. Model: Handles data and business logic. View: Displays the UI and passes user actions to the ViewModel. ViewModel: Manages data for the View and responds to user interactions. MVI (Model-View-Intent) MVI follows a reactive, unidirectional data flow, meaning UI updates happen in a predictable way from a single source of truth. This makes state management clearer and more structured. View more...GenAI: Running Prototypes Faster Than WireframesAggregated on: 2025-03-12 19:28:07 Required: Rapid Prototyping, Working Software Digital transformation is all about speed in turning business ideas into systems. Speed in getting actual working software — running screens, reading and writing real data, with underlying business logic. Experience has taught us there is no substitute for working software. It's all too common to spend weeks to months creating running screens, only to find out the business idea was not compelling or the requirements were misunderstood. View more...SRE Best Practices for Java ApplicationsAggregated on: 2025-03-12 18:43:07 Site reliability engineering (SRE) plays a vital role in ensuring Java applications' high availability, performance, and scalability. This discipline merges software engineering and operations, aiming to create a robust infrastructure that supports seamless user experiences. In this article, we will delve into a range of best practices aligned with SRE principles, including monitoring, logging, alerting, performance optimization, disaster recovery, security, automation, and incident management. Each section will be illustrated with relevant Java code samples to provide practical insights. View more...Mobile Backend With Docker, Kubernetes, and MicroservicesAggregated on: 2025-03-12 16:13:07 Mobile applications always demand highly scalable, available, and fault-tolerant backend systems. Traditional monolithic architectures often struggle with performance bottlenecks, slow deployments, and scalability limitations. To overcome these challenges, a microservices-based architecture deployed using Docker and Kubernetes provides a robust solution. This article covers the following points: View more...Low-Code Development Is Dead; Long Live Low Code, No LimitsAggregated on: 2025-03-12 15:13:07 Low-code was supposed to be the future. It promised faster development, simpler integrations, and the ability to build complex applications without drowning in code. And for a while, it seemed like it would deliver. But then reality hit. Developers and IT teams who embraced low-code quickly found its limitations. Instead of accelerating innovation, it created bottlenecks. Instead of freeing developers, it forced them into rigid, vendor-controlled ecosystems. View more...Lightning Data Service for Lightning Web ComponentsAggregated on: 2025-03-12 14:28:07 When developing Lightning Web Components (LWC) in Salesforce, working with data efficiently is key to building powerful and scalable applications. Salesforce provides several ways to retrieve and manipulate data within LWC, and one of the most effective methods is using Lightning Data Service (LDS). LDS allows you to interact with Salesforce data — whether it’s retrieving, modifying, or deleting — without the need for any Apex code. It also offers a built-in cache that is shared across components, ensuring that data changes made by one component are automatically reflected in others, enhancing synchronization and reducing redundancy. View more...How to Recover a Deleted Table in a SQL Server DatabaseAggregated on: 2025-03-12 13:28:07 Accidentally deleting a table in SQL Server can be a critical issue, but there are several methods to recover it. Below are three effective ways to successfully recover a deleted table in SQL Server. Method 1: Restore the Deleted Table From Backup The most reliable way to recover a deleted table is to restore it from a database backup. This method works if you have a recent backup of the database. View more...Build a DIY AI Model Hosting Platform With vLLMAggregated on: 2025-03-12 12:28:07 One of the biggest challenges that developers and researchers face is deploying models for AI inference at scale. Traditionally, this involves relying on cloud services or complex server setups that can be expensive and resource intensive. However, with innovations like the vLLM AI Inference engine, Do-It-Yourself (DIY) model hosting is becoming more accessible and efficient. One can build cost-effective model-serving solutions for their machine learning needs. vLLM vLLM is an AI inference engine designed to efficiently serve large language models (LLMs) at scale. It is a robust, high-performance engine that provides a streamlined approach to serving AI models. It stands out in its ability to optimize resources and maintain low latency and high throughput even with large-scale models. The vLLM engine allows for faster inference times, improved memory management, and optimized execution, all of which are crucial for hosting models effectively on a DIY setup. View more...Chat History for AI Applications With Azure Cosmos DB Go SDKAggregated on: 2025-03-12 11:28:07 This blog post covers how to build a chat history implementation using Azure Cosmos DB for NoSQL Go SDK and LangChainGo. If you are new to the Go SDK, the sample chatbot application presented in the blog serves as a practical introduction, covering basic operations like read, upsert, etc. It also demonstrates using the Azure Cosmos DB Linux-based emulator (in preview at the time of writing) for integration tests with Testcontainers for Go. Go developers looking to build AI applications can use LangChainGo, which is a framework for LLM-powered applications. It provides pluggable APIs for components like vector store, embedding, loading documents, chains (for composing multiple operations), chat history, and more. View more...Enhanced Monitoring Pipeline With Advanced RAG OptimizationsAggregated on: 2025-03-11 21:43:06 Observability Integration Observability is the cornerstone of reliability and trust in any production-grade retrieval-augmented generation (RAG) pipeline. As these systems become more complex — handling sensitive data, supporting real-time queries, and interfacing with multiple services — being able to trace and measure each step of the data flow and inference process becomes critical. From retrieving logs in vector databases to generating final responses with large language models, every interaction must be visible and auditable to scale confidently in production. To address these needs, our enhanced RAG pipeline integrates Literal AI for end-to-end tracing of both retrieval and generation steps. Literal AI provides robust observability mechanisms, allowing teams to pinpoint performance bottlenecks, detect anomalies, and seamlessly incorporate human-in-the-loop feedback. View more...Disaster Recovery Plan for DevOpsAggregated on: 2025-03-11 20:43:06 A well-designed disaster recovery plan is critical to mitigate risks, recover swiftly from failures, and ensure your data and infrastructure integrity. Are There Any Myths Related to DR in DevOps? Some organizations still mistakenly assume that DevOps tools, like GitHub, GitLab, Bitbucket, Azure DevOps, or Jira, come with built-in, all-encompassing disaster recovery. However, we shouldn’t forget about the shared responsibility models, which explicitly clarify that while providers secure their infrastructure and smoothly run their services, users must safeguard their own account data. View more...The LLM Advantage: Smarter Time Series Predictions With Less EffortAggregated on: 2025-03-11 19:43:06 Have you ever wondered why predicting next month's sales is so hard? Or why forecasting the weather seems like a coin flip sometimes? Time series data is everywhere, but making sense of it has always been a headache — until now. Large language models (LLMs) are shaking things up in the time series world. Seriously, it's like someone finally handed us a decent flashlight after we've been stumbling around in the dark for years. View more...Migrating Java Microservices to Go: A Comprehensive GuideAggregated on: 2025-03-11 18:43:06 With the rising demand for high-performance, scalable, and resource-efficient microservices, many organizations are exploring the transition from Java to Go (Golang). Java, a long-standing enterprise favorite, offers robustness and a vast ecosystem, but Go’s lightweight concurrency model, fast execution speed, and lower memory footprint make it an attractive alternative. This guide explores why and how to migrate Java microservices to Go effectively. View more...Time Data Series: It’s Not What You Said; It’s How You Said ItAggregated on: 2025-03-11 17:58:06 In my last post on PHP Zmanim, I said the next thing I’d write about was astronomy calculations. I still plan to do that, but something came up recently that caught my attention, so I’m going to talk about that instead. I still plan to get to the astronomy stuff. Sephardi vs. Ashkenazi No, not kitniyot. No, not how to hang your mezuzzah. No, not whether you have to use water challah or if egg challah is ok. I’m talking about the “T” sound in certain words. View more...Import Order in React: A Deep Dive Into Best Practices and ToolsAggregated on: 2025-03-11 16:43:06 Have you ever spent hours debugging a seemingly simple React application, only to realize the culprit was a misplaced import? Incorrect import order can lead to a host of issues, from unexpected behavior to significant performance degradation. In this article, we'll delve into the intricacies of import order in React, exploring best practices and powerful tools to optimize your code. By the end, you'll be equipped to write cleaner, more efficient, and maintainable React applications. View more...How to Deploy Karpenter on AWS Kubernetes With kOpsAggregated on: 2025-03-11 15:13:06 kOps is a widely used tool for deploying and managing Kubernetes clusters in multi-cloud or hybrid cloud environments. It provides a unified configuration system (YAML or JSON), which lets you easily set up clusters across AWS, GCP, Azure, and on-premises environments. With flexible customization options, kOps lets you adjust everything from control plane and worker node operating systems to network plugins (like Calico and Cilium) and storage solutions, which makes it an excellent fit for complex setups. View more...8 Java GUI Frameworks for Modern ApplicationsAggregated on: 2025-03-11 14:13:06 Java has become one of the world’s most versatile programming languages, chosen for its adaptability, stability, and platform independence. Its extensive ecosystem encompasses virtually every application type, from web development to enterprise solutions, game design, Internet of Things (IoT), and beyond. With an estimated 51 billion active Java virtual machines (JVMs) globally, it goes without question that Java powers a substantial portion of modern software infrastructure. View more...How to Use GPU Nodes in Amazon EKSAggregated on: 2025-03-11 13:13:06 Running GPU workloads on Amazon EKS requires configuring GPU-enabled nodes, installing necessary drivers, and ensuring proper scheduling. Follow these steps to set up GPU nodes in your EKS cluster. 1. Create an Amazon EKS Cluster First, create an EKS cluster without worker nodes using eksctl (for simplicity, we don’t use Terraform/OpenTofu.): View more...Build Your Tech Startup: 4 Key Traps and Ways to Tackle ThemAggregated on: 2025-03-11 12:28:06 The tech sector is based on human rather than physical assets: not on machinery or warehouses but on talented specialists and innovations. Competition is fierce, and success often hinges on adaptability in an ever-changing environment. Speed takes precedence, where the ability to launch a product swiftly can outweigh even its quality. If you have any experience in software development, all these issues definitely sound like a daily routine. But what if you are about to launch your own startup? What if your project’s ambitions go all the way to Unicorn heights? In this case, you are going to face additional and (most probably) unfamiliar obstacles. These include workforce challenges, management issues, insufficient investment in innovation, and neglect of technical branding. View more... |
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