Articles.
In 2016, DEV3LOPCOM, LLC began sharing informative articles and technical tutorials about software, methodologies, research and programming languages.
Recent Articles
Precision Loss & Accumulation Errors in Numeric Workloads
Numbers have shaped our world. From building skyscrapers, enabling space exploration to precise forecasting, numeric accuracy ensures decisions are reliable and downtime is minimal. Today, as data-driven companies increase reliance on precision-intensive numeric...
Event Sourcing 101: Rebuilding State from Logs
Imagine having the power to move backward and forward in time at will, effortlessly reconstructing the complete state of your data at any moment—all from a meticulously recorded log of historical events. Event sourcing offers just such a transformative capability to...
Binary at Scale: Bit-Level Tricks for Massive Files
The digital world revolves around data—data capturing, storage, movement, and analysis. As file sizes balloon into terabytes and petabytes, managing massive data efficiently isn't just a preference; it’s a strategic imperative. Every inefficiency amplifies at scale,...
Poison Pill Messages: Stopping Bad Data Before It Spreads
Imagine data as the bloodstream of your organization—essential to keeping operations healthy, decisions accurate, and innovation flowing. Just like toxins circulating unchecked in your bloodstream can threaten your health, bad data can quietly seep into systems,...
Variable-Length Records in Fixed-Width Lands
In the intricate world of data management, the manner by which you structure your information can make or break the efficiency of your technology stack. As decision-makers strive to harness the power of their growing data assets, understanding variable-length and...
Back-Pressure & Rate Limiting: Protecting Downstream Systems
In today's hyperconnected, innovation-driven digital landscape, companies across every industry grapple with immense volumes of data streaming through intricate software architectures. Decision-makers face the imperative to build robust and resilient digital...
Windowed Joins: State Stores Done Right
In today's data-driven landscape, the ability to harness event streams in real-time is a growing must-have business capability. Analytics capabilities that once were the domain of specialized "big data" teams are now expected to deliver value immediately. Amidst this...
Bulkhead Pattern: Fault Isolation for Streaming Apps
In today’s complex digital ecosystems, streaming applications have shifted from being beneficial tools to mission-critical platforms. Businesses increasingly rely on these real-time data integrations to deliver insights, automate processes, and predict operational...
Multi-Tenant Workloads: Isolation Without Losing Performance
Picture orchestrating a bustling city where thousands of tenants live harmoniously within a limited space. Each resident expects privacy, security, and individualized services, even as they share common infrastructures such as electricity, water, and transportation....
Keep It Local: Data Locality Principles for Faster Analytics
In the fast-paced arena of data-driven decision-making, organizations can't afford sluggish data analytics that hinder responsiveness and innovation. While computation power and storage scale has exploded, just throwing processing horsepower at your analytics won't...
Exactly-Once vs At-Least-Once: Error Recovery Trade-Offs
In the fast-paced, data-centric business landscape of today, leaders stand at the crossroads of complex decisions affecting systems reliability, efficiency, and data integrity. Understanding how data moves and how it recovers from errors can mean the difference...
The Memory Wall: Working Sets Larger Than RAM
In today's data-driven landscape, performance bottlenecks become painfully obvious, especially when handling datasets larger than system memory. As your analytics workload grows, the gap between the sheer volume of data and the speed at which your hardware can access...
Irregular Intervals: Wrangling Messy Time-Series
Imagine navigating unfamiliar terrain armed with nothing more than a vague map and inconsistent landmarks placed unpredictably along your path. That's precisely how working with messy, irregularly spaced time-series data can feel. Yet—as daunting as irregular...
Circuit Breakers: Designing Fail-Safe Stream Drivers
The rapid evolution of real-time data analytics has ushered in an era where milliseconds matter more than ever. Imagine overseeing streaming analytics for your organization's critical operations, only to watch helplessly as streams falter under unexpected workloads or...
High-Cardinality Categories: Encoding Strategies That Scale
When diving deep into analytical and machine learning projects, organizations inevitably encounter the challenging realm of high-cardinality categorical variables. Whether you're trying to analyze customer data across thousands of regions or categorize products from...
Long-Running Jobs vs JVM GC: A Love-Hate Story
If you work in data-intensive environments, the phrases "long-running job" and "JVM garbage collection" probably stir both admiration and frustration. They're like those pairs of coworkers who, despite occasional tension, can deliver remarkable results when...
Choreography vs Orchestration: Coordinating Complex Workflows
Imagine watching a symphony perform without a conductor—each musician intuitively knowing precisely when to begin playing and seamlessly harmonizing their contribution with the group. Now, picture the same orchestra, this time guided meticulously by a conductor who...
Network Effects: Bandwidth Pitfalls in Distributed Engines
In the hyper-connected landscape of today's data-driven business ecosystem, distributed engines promise scalability, agility, and the power of real-time analytics. Yet, hidden beneath these compelling advantages lies a subtle and often underestimated challenge:...
Sparse Datasets: Techniques When Most Values Are Null
Picture a grand library filled with books—but as you open them, you realize most pages are blank. Welcome to the complex yet exciting world of sparse datasets. In today's data-driven world, datasets are enormous, expansive, and, quite frequently, sparse—filled with...
Cold-Start Optimization: Bootstrapping New Pipelines Fast
In the hyper-competitive digital landscape, being first isn't always about having the biggest budget or dedicated research departments; it's about velocity—how quickly your organization can define needs, develop solutions, and deploy into production. Decision-makers...