News Aggregator

Overview of Classical Time Series Analysis: Techniques, Applications, and Models

Aggregated on: 2024-08-05 14:07:51

Time series data represents a sequence of data points collected over time. Unlike other data types, time series data has a temporal aspect, where the order and timing of the data points matter. This makes time series analysis unique and requires specialized techniques and models to understand and predict future patterns or trends. Applications of Time Series Modeling Time series modeling has a wide range of applications across various fields including:

Upgrading Spark Pipelines Code: A Comprehensive Guide

Aggregated on: 2024-08-05 13:52:51

In today's data-driven world, keeping your data processing pipelines up-to-date is crucial for maintaining efficiency and leveraging new features. Upgrading Spark versions can be a daunting task, but with the right tools and strategies, it can be streamlined and automated. Upgrading Spark pipelines is essential for leveraging the latest features and improvements. This upgrade process not only ensures compatibility with newer versions but also aligns with the principles of modern data architectures like the Open Data Lakehouse (Apache Iceberg). In this guide, we will discuss the strategic importance of Spark code upgrades and introduce a powerful toolkit designed to streamline this process.

Automation Resilience: The Hidden Lesson of the CrowdStrike Debacle

Aggregated on: 2024-08-05 13:07:51

The recent CrowdStrike debacle was a wake-up call of epic proportions. A simple null pointer error in a routine software update brought airlines, media companies, first responder networks, and many other enterprises to their knees. There is plenty of blame to spread around. The hapless developer who coded the bug, of course. But also the quality assurance team at CrowdStrike, CrowdStrike itself and its CEO, and Microsoft, whose systems were only too happy to roll over and blue screen.

Optimizing Software Quality: Unit Testing and Automation

Aggregated on: 2024-08-04 13:07:51

Unit testing is the first line of defense against bugs. This level of protection is essential as it lays the foundation for the following testing processes: integration tests, acceptance testing, and finally manual testing, including exploratory testing. In this article, I will shed some light on what differentiates unit testing from other methods and will bring examples of when we can or cannot do without unit testing. We'll also touch upon automation testing, which plays an important role in ensuring code reliability and quality.

Compound Interest in Software

Aggregated on: 2024-08-03 13:22:50

Many articles and posts online show how regular, small, incremental changes result in much larger gains over time. This article applies compound interest calculations to show that a 1% daily increase provides a 37.8-times improvement/growth/whatever over the year — the power of compound interest! Frustrating at first, but the gains grew each day — in the end very pleasing. Software engineers make decisions daily about the design and implementation of the solution being worked on: functionality, code structure, data validation, flow, error handling, security, performance, reliability, external dependencies, configurability, and more. Expected functionality and time-to-market often prioritize what is included and what is deferred/ignored: certain failures/errors are accepted, edge cases require manual implementation, etc. It's feature/implementation/tech debt that likely needs future remediation.

Industrial IoT: Exploring Microcontrollers for Robust Applications

Aggregated on: 2024-08-02 23:07:50

When we think of the Internet of Things (IoT), our imaginations are often limited to consumer applications: smart homes, smart transportation, smart offices, etc. However, these account for just the tip of the iceberg when it comes to IoT. Just beneath the surface lies a sprawling world of industrial IoT and industrial microcontrollers (MCUs). But just like an industrial solvent requires a formula special and distinct from your ordinary kitchen hand soap, the technical components of industrial IoT devices are starkly different from those that make your smart home HVAC system run smoothly. Nowhere is this distinction more sharp than when it comes to MCUs.

Leveraging Open-Source Contributions To Boost Your Freelancing Profile

Aggregated on: 2024-08-02 20:52:50

Building your reputation as a freelance developer means diligently improving your skills and reputation through real-world efforts. One of the best ways to do that is to contribute to open-source projects. How can you maximize that strategy for the best results? Align Projects With Skills and Professional Goals Developer communities and the internet at large are full of open-source projects that need developers’ expertise. Narrow the abundant possibilities by focusing on those that match your skills and career goals. Then, you will stay more motivated because the work gets you closer to long-term aspirations while increasing your marketability.

Criticality in Data Stream Processing and a Few Effective Approaches

Aggregated on: 2024-08-02 18:22:50

In the current fast-paced digital age, many data sources generate an unending flow of information: a never-ending torrent of facts and figures that, while perplexing when examined separately, provide profound insights when examined together. Stream processing can be useful in this situation. It fills the void between real-time data collecting and actionable insights. It's a data processing practice that handles continuous data streams from an array of sources. About Stream Processing Opposite to traditional batch data processing techniques, here, processing works on the data as it is produced in real time. In simple words, we can say processing data to get actionable insights when it is in motion before stationary on the repository. Data streaming processing is a continuous method of ingestion, processing, and, eventually, analyzing the data as it is generated from various sources.

Software Testing Errors To Look Out For (With Examples)

Aggregated on: 2024-08-02 16:22:50

Software will never be bug-free. However, it’s important to minimize the number of bugs such that the impact on the functionality and user experience of an application is minimized. Bugs could come up due to different reasons. In this article, we will discuss them from the perspective of software errors. These are the errors that also need attention during the testing phase. We can divide the errors during software development into two sections for easy understanding:

The C̶a̶k̶e̶ User Location Is a Lie!!!

Aggregated on: 2024-08-02 13:22:49

I recently sat in on a discussion about programming based on user location. Folks that are way smarter than me covered technical limitations, legal concerns, and privacy rights. It was nuanced, to say the least. So, I thought I’d share some details.

The One-Pixel Threat: How Minuscule Changes Can Fool Deep Learning Systems

Aggregated on: 2024-08-01 23:07:49

AI vulnerabilities: From medical diagnostics to autonomous vehicles, discover how changing a single pixel can compromise advanced deep learning models and explore the critical challenges to securing our AI-powered future. Introduction Deep learning (DL) is a fundamental component of Artificial Intelligence (AI). It aims to enable machines to perform tasks that require decision-making mechanisms that tend to approximate those of human reasoning. DL models are at the heart of many advanced applications, such as medical diagnostics and autonomous vehicle driving.

My Journey to Master SQL Data Analysis

Aggregated on: 2024-08-01 21:07:49

Dealing with sales data can feel like a task especially when you're trying to extract insights for important business decisions. In this article, we'll delve into the experience of a data analyst tackling these challenges and delve into why mastering SQL is key to achieving success. By the end, you'll grasp the role that data analysts play and how they can transform data into actionable information. Understanding the Role of a Data Analyst Data analysts often go unnoticed in organizations. They play a role. Their job involves sorting through volumes of data to identify patterns, trends, and insights that drive decision-making processes. Whether it's analyzing sales figures, customer feedback, or market research findings, data analysts are responsible for making sense of this information. However, this isn't a task. This demands a specific skill set that includes a solid grasp of SQL (Structured Query Language).

3 Reasons Why VPs of Engineering Are Choosing Low-Code

Aggregated on: 2024-08-01 19:22:49

I often hear the phrases "Low code is not flexible" and "Scaling is the major issue with low code" when talking to developers who have used it to build complex use cases like food ordering apps, e-commerce apps, and tools like that. For any type of application building, it's important to understand who you are developing it for, what is the ROI, and what they are going to achieve. Low code is something that can be best used when you want to build apps for internal use, rich data dashboards, CMS apps, or any app for operational needs within your organization. Developers, the primary creators, benefit hugely from pre-built UI components, ready databases, and API integrations. Important stat: 70% of new applications created by enterprises are expected to utilize low-code or no-code technologies, stats Gartner findings.

Navigating BNPL Integration: Key Steps and Best Practices for Developers

Aggregated on: 2024-08-01 17:22:49

Buy Now, Pay Later (BNPL) solutions are altering the way in which clients connect to payment systems by offering financial flexibility and enhancing the checkout experience. This guide offers developers and architects comprehensive knowledge on integrating your checkout process with BNPL as well as technical details, best practices, and common challenges. Importance of BNPL for Developers Enhanced Conversion Rates The abandonment of carts is reduced by the use of BNPL solutions that provide flexible payment options; hence, making it possible for users to complete their transactions. Users will not easily abandon their carts due to high upfront costs whenever payments can be broken down into small manageable amounts.

Agile-Regulated Industries?

Aggregated on: 2024-08-01 15:22:49

Are there agile-regulated industries, or is that an oxymoron? Recently, I received a project alert from an organization looking for a Scrum Master with “at least two years knowledge of information systems for rail and public transport travelers.”

How To Fix the OWASP Top 10 Vulnerability in Angular 18.1.1v

Aggregated on: 2024-08-01 13:22:49

The latest release of Angular, which is presently version 18.1.1, offers a wide range of features for developing robust and scalable web applications in Angular. However, safety continues to be of concern. In this article, we will discuss the configurations and see examples of how to mitigate these vulnerabilities in an Angular web application 18.1.1v in detail. 1. Injection Injection flaws (SQL, NoSQL, and OS command injection) occur when untrusted data is send to an interpreter situated among a machine or query.

Leveraging Time Series Databases for Cutting-Edge Analytics: Specialized Software for Providing Timely Insights at Scale

Aggregated on: 2024-08-01 12:22:49

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Database Systems: Modernization for Data-Driven Architectures. Time series data has become an essential part of data collection in various fields due to its ability to capture trends, patterns, and anomalies. Through continuous or periodic observation, organizations are able to track how key metrics are changing over time. This simple abstraction powers a broad range of use cases.

Merge Multiple PDFs in MuleSoft

Aggregated on: 2024-07-31 22:08:35

Suppose there is a scenario where you have to merge multiple PDFs into one PDF and send the merged PDF as a response back to the source system or store the merged PDF in a file location. In this article, you will learn how to do this. There is no such connector in MuleSoft that you can use to merge the PDFs. You will have to use the Java library org.apache.pdfbox.multipdf to merge the PDFs. It contains all necessary Java libraries for merging multiple PDFs into one. Implementation Step 1 Add the dependency as shown below in pom.xml:

Ensuring Data Integrity Through Anomaly Detection: Essential Tools for Data Engineers

Aggregated on: 2024-07-31 21:08:35

In the trending landscape of Machine Learning and AI, companies are tirelessly innovating to deliver cutting-edge solutions for their customers. However, amidst this rapid evolution, ensuring a robust data universe characterized by high quality and integrity is indispensable. While much emphasis is often placed on refining AI models, the significance of pristine datasets can sometimes be overshadowed. This article sets out to explore some of the essential tools required by organizations in the domain of data engineering to efficiently improve data quality and triage/analyze data for effective business-centric machine learning analytics, reporting, and anomaly detection. To illustrate these tools/frameworks and their importance, let us consider a scenario within the fintech industry.

Interference in A/B Tests

Aggregated on: 2024-07-31 20:08:35

A/B testing is the gold standard for online experimentation used by most companies to test out their product features. Whereas A/B test experimentation works just fine in most settings, it is particularly susceptible to interference bias, particularly in the case of online marketplaces or social networks. In this article, we aim to look at the situations with interference bias and some potential ways to mitigate its effect on evaluation. SUTVA, the Fundamental Assumption of A/B Testing and Its Violations One of the fundamental assumptions of A/B Testing is SUTVA — Stable Unit Treatment Value Assumption. The potential outcome of treatment in the randomization unit depends only on the treatment they receive and not on the treatments assigned to other subjects.

SingleStore Kai Support for MongoDB $vectorSearch

Aggregated on: 2024-07-31 19:08:38

SingleStore is a high-performance distributed SQL database and through SingleStore Kai extends its compatibility to MongoDB's vector search capabilities. By supporting MongoDB's $vectorSearch operator, SingleStore Kai provides efficient querying and indexing of vector data, such as embeddings used in ML and AI applications. Users can benefit from SingleStore's optimized data handling and Kai's vector search capabilities to perform similarity searches across large datasets. In this article, we'll see an example of how to use SingleStore Kai with vector data. The notebook file used in this article is available on GitHub.

Software Engineering Grief

Aggregated on: 2024-07-31 18:08:35

Human beings resist change. This is not personal opinion, it's our defense mechanism against uncertainty. If you narrow your target to software engineers and technologists - who, in almost all cases, are humans - the defense mechanism can become a survival mechanism.Successful companies rarely rest on their laurels and assume the money will flow in unimpeded by change. Instead, companies constantly analyze the current to define their vision for the future: How do economic and market conditions affect our ability to sell? Would new features or product offerings attract new customers while retaining existing customers? Could we more efficiently increase market share through acquisitions rather than internal product development? Are there partner opportunities beneficial to us? How can we expand the industries in which are products are sold?

Plot Your REST Endpoints Using grafana-infinity-datasource

Aggregated on: 2024-07-31 17:08:35

When it comes to observability Grafana is the go-to tool for visualization. A Grafana dashboard consists of various forms of visualizations which are usually backed by a database. This is not always the case. Sometimes instead of pushing the data from the database as is, you might want to refine the data. This cannot always be achieved through the functionalities the DB provides. For example, you might want to fetch results from a proprietary API. This is where the grafana-infinity-datasource plugin kicks in. With grafana-infinity-datasource, you can create visualizations based on JSON, XML, CSV, etc. You can issue an HTTP request to a REST API and plot the received data. Tutorial Let’s assume we have an eShop application. We will create a simple Python API using FastAPI to manage the items of the eShop and the purchase volume.

Two-Tower Model for Fraud Detection: A Comprehensive Guide

Aggregated on: 2024-07-31 16:53:35

Fraud detection is a very important task in most industries, especially in finance and e-commerce. The classic machine learning models struggle to handle the subtlety and complexity of patterns rooted in fraudulent behavior. The dual-tower or Siamese network model provides a powerful architecture to handle the complex tasks of parallel processing with two different sets of inputs, thus helping capture the intricate relationships between them. This article presents how to apply the two-tower model to fraud detection, with detailed explanations, code snippets, and practical illustrations. What Is a Two-Tower Model? It is an architecture that comprises two independent neural networks: one dealing with one type of input data and the second dealing with another. These two towers may work independently, although their output results are combined to make a single unified prediction. This architecture works very nicely in tasks involving finding relationships or similarities between two diverse sources of data.

Self-Compassion in Tech Teams: Building Strength and Teamwork

Aggregated on: 2024-07-31 16:08:35

Tech teams have a hard job. They deal with tight deadlines and tough problems. This can cause stress and self-criticism. But being kind to yourself can help. Self-compassion makes you feel better. It also helps the team work better together. This guide will explain what self-compassion is. It will also show why it’s good for tech teams and how to use it at work. Self-Compassion for Tech Teams Self-compassion is like being your own supportive friend. When things go wrong or you make mistakes, instead of being hard on yourself, treat yourself kindly. For tech teams, this means understanding hard tasks and handling mistakes gently. It helps you stay calm and focused. Dr. Kristin Neff talks about three parts of self-compassion:

Common CSS Breakpoints for Media Queries

Aggregated on: 2024-07-31 15:53:35

As technology is growing every day, the diversification in the types of electronic devices is also expanding. In the present time, a wide range of electronic devices exist, including tablets, laptops, desktops, smartphones, and even smartwatches. Tech giants are spending millions of dollars in their research and development to introduce new and improved electronic devices daily in the market. This has resulted in the daily continuous increase in the catalog of electronic devices.

Multimodal Search in AI Apps With PostgreSQL pgvector

Aggregated on: 2024-07-31 15:08:35

Large language models (LLMs) have significantly evolved beyond generating text responses to text prompts. These models are now trained to possess advanced capabilities like interpreting images and providing detailed descriptions from visual inputs. This gives users an even greater search capacity. In this article, I’ll demonstrate how to build an application with multimodal search functionality. Users of this application can upload an image or provide text input that allows them to search a database of Indian recipes. The application is built to work with multiple LLM providers, allowing users to choose between OpenAI, or a model running locally with Ollama. Text embeddings are then stored and queried in PostgreSQL using pgvector.

Vulnerability Management in DevOps Environments

Aggregated on: 2024-07-31 14:53:35

DevOps has become the groundwork for delivering top-notch applications quickly and efficiently in today’s agile development. Its efficiency and speed can also cause notable security threats if vulnerabilities are not managed properly. Sixty percent of data breaches succeed because organizations fail to apply known, available patches before the weaknesses are exploited.

Outlier Identification in Continuous Data Streams With Z-Score and Modified Z-Score in a Moving Window

Aggregated on: 2024-07-31 14:08:35

My name is Maksim Kupriianov, and for the past few years, I have been actively involved in network monitoring. This means sending network probes from different locations within an organization’s network, analyzing the responses with regard to packet loss percentage and response times, and identifying places in the network where something has gone wrong. The probes are sent and the results are analyzed continuously, with new data coming in every second. The analytics are conducted on a sliding window of several tens of seconds. During this process, local anomalies often arise. For instance, a server in one of the racks might start showing increased packet loss due to the server's high CPU utilization. On the one hand, this is already a problem that should be highlighted, but on the other hand, it is not caused by any network equipment failure and doesn’t affect network performance in general. A similar situation occurs with the response times: for various reasons, responses could be delayed even by seconds, whereas typically, the round-trip time of the requests does not exceed a few milliseconds.

Automatic 1111: Adding Custom APIs

Aggregated on: 2024-07-31 13:53:35

In our previous article, we thoroughly covered the fundamental aspects of an Automatic 1111. This included the setup process, enabling APIs, and other crucial considerations for optimal API usage. In this article, we will be discussing the Options API in depth and adding our own custom APIs in Automatic 1111 (1.9.3 version). Options API Options API is one of the most commonly used APIs for fetching and updating Automatic 1111 application configurations.

Differentiating Rate Limits in Apache APISIX

Aggregated on: 2024-07-31 13:08:35

In my talk "Evolving your APIs," I mention that an API Gateway is a reverse proxy "on steroids." One key difference between the former and the latter is that the API Gateway is not unfriendly to business logic. The poster child is rate-limiting. Rate-limiting is an age-old reverse proxy feature focused on protecting against DDoS attacks. It treats all clients the same and is purely technical. In this day and age, most API providers offer different subscription tiers; the higher the tier, the higher the rate limit, and the more you pay incidentally. It's not technical anymore and requires to differentiate between clients.

Just Use PostgreSQL, a Quick-Start Guide: Exploring Essential and Extended Capabilities of the Most Beloved Database

Aggregated on: 2024-07-31 12:53:35

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Database Systems: Modernization for Data-Driven Architectures. PostgreSQL has been in development and use for over 35 years. Throughout those years, the project that started as an open-source relational database for transactional workloads has turned into one of the most reliable and comprehensive database solutions for a variety of use cases. The depth and breadth of PostgreSQL's capabilities have become so rich that you might hear "just use Postgres" if you ask for advice about database options for your next application.

How To Generate Flame Graphs in Java

Aggregated on: 2024-07-30 23:08:34

Flame graphs became the de facto standard for investigating issues in today's applications (not only written in Java). The flame graphs can provide a lot of interesting insights and can give developers valuable hints to improve the execution of their applications. However, still, a lot of developers don't use them, even if generating flame graphs is easier than ever before. In this article, I will demonstrate a couple of examples of how easy it is in Java to get started with the investigation of your applications. If you don't know the details about flame graph visualization, please, visit a great article about flame graphs from Brendan Gregg.

GitOps: ArgoCD vs FluxCD

Aggregated on: 2024-07-30 22:08:34

Getting Started With GitOps Most organizations are always looking for ways to streamline their processes and improve efficiency by implementing automation. In recent years, software deployment has been done multiple times in a day rather than weeks or months. Organizations have moved from the waterfall models to hyper-agile methodologies and particularly due to the adoption of microservices architecture, teams are releasing their software much faster. To make this possible, GitOps implements a control-loop pattern more often seen in Kubernetes. GitOps offers a more consistent and reliable way to handle infrastructure and deployment. In this blog, we'll explore what GitOps is and why it's becoming increasingly popular among DevOps teams. We will also walk through popular GitOps tools like Argo CD and Flux CD.

How To Run Apache Spark on Kubernetes in Less Than 5 Minutes

Aggregated on: 2024-07-30 21:08:34

Tools like Ilum will go a long way in simplifying the process of installing Apache Spark on Kubernetes. This guide will take you step-by-step through how to run Spark well on your Kubernetes cluster. With Ilum, deploying, managing, and scaling Apache Spark clusters is easily and naturally done. Introduction Today, we will showcase how to get up and running with Apache Spark on K8s. There are many ways to do that, but most are complex and require several configurations. We will use Ilum since that will do all the cluster setup for us. In the next blog post, we will compare the usage with the Spark operator.

Implementing Multi-Level Caching in Java With NCache

Aggregated on: 2024-07-30 20:23:34

Multi-level caching is a technique used to improve the performance of applications by storing frequently accessed data in different cache layers. The cache layers generally lie at various levels of the application stack. It is a common practice to use a distributed cache like NCache to implement multi-level caching in applications. NCache provides a scalable and high-performance caching solution that can store data in memory across multiple servers. In addition to this, NCache provides a feature to enable local caching in client nodes to offer even faster data access.

Real-Time Anomaly Detection Using Large Language Models

Aggregated on: 2024-07-30 19:23:34

The capability to detect anomalies becomes important in the data-driven world of today and is a key component for various industries such as finance, healthcare, cybersecurity, and manufacturing. Anomalies can be a sign of fraud, system failings, security incidents, or other important events that require immediate attention. The volume, velocity, and variety of streaming data are difficult for traditional anomaly detection techniques to handle. On the other hand, recent developments in Large Language Models (LLMs) provide a new path to perform real-time anomaly detection. In this blog post, we discuss how LLMs can be used for anomaly detection on streaming data in detail with some examples. Anomaly Detection Anomalies are patterns in your data that do not conform to a well-defined notion of normal behavior.

Apache Iceberg Table Management

Aggregated on: 2024-07-30 18:23:37

1. What Are Iceberg and Table Layout for Iceberg? Apache Iceberg is a high-performance table format for large analytic datasets. It's designed to handle petabyte-scale data lakes with the reliability and efficiency needed for data analytics and big data workflows. Iceberg tables organize data into a consistent format that simplifies querying, updating, and managing data at scale. One of the main advantages of Iceberg table format is schema evolution, which allows updating the table schema without re-writing the data. However, all these advantages come at the cost of maintaining table metadata disjoint from data in metadata files which are updated for each table ops in a transaction while maintaining concurrency. A typical Iceberg table layout has: Manifest files: Store metadata about data files in the table, including their locations, sizes, and statistics. Snapshot files: Represent the state of the table at a given point in time. Each snapshot includes references to manifest files and data files. Data files: Contain the actual data in the table, typically stored in columnar formats like Parquet or ORC. Metadata files: Store global metadata about the table, such as schema, partitioning information, and properties. CRUD operations on table leads to generation of multiple snapshot files, manifest files, data files etc which can consume storage making the table operations inefficient.

A Hands-On Guide to OpenTelemetry: Better Tracing With Automatic Instrumentation

Aggregated on: 2024-07-30 17:23:34

Are you ready to start your journey on the road to collecting telemetry data from your applications? Great observability begins with great instrumentation! In this series, you'll explore how to adopt OpenTelemetry (OTel) and how to instrument an application to collect tracing telemetry. You'll learn how to leverage out-of-the-box automatic instrumentation tools and understand when it's necessary to explore more advanced manual instrumentation for your applications. By the end of this series, you'll have an understanding of how telemetry travels from your applications to the OpenTelemetry Collector, and be ready to bring OpenTelemetry to your future projects. Everything discussed here is supported by a hands-on, self-paced workshop authored by Paige Cruz.

Step-By-Step Guide To Creating a Calculator App With HTML and JS (With Factor Calculator Example)

Aggregated on: 2024-07-30 16:23:34

Creating a calculator app is a great way to practice and understand the basics of HTML, CSS, and JavaScript. This guide will walk you through the steps to build a simple yet functional calculator. By the end of this tutorial, you will have a fully operational calculator that can perform basic arithmetic operations. Calculators are essential tools, and building one is an excellent project for learning web development. This guide will cover the following:

Enhancing Stream Data Processing With Snow Pipe, Cortex AI, and Snow Park

Aggregated on: 2024-07-30 15:38:34

Why Snowflake? Snowflake is a cloud-based data platform that provides a fully managed service for handling data-driven engagements. It is scalable and is enabled on multiple cloud tenants of AWS, Azure, and GCP. Snowflake has a unique architecture that separates the storage, compute, and service layers which enables scalable and elastic data processing. This architecture enables us to use resources of storage, compute, and services independently and pay as per the usage.

Pivoting Database Systems Practices to AI: Create Efficient Development and Maintenance Practices With Generative AI

Aggregated on: 2024-07-30 15:23:34

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Database Systems: Modernization for Data-Driven Architectures. Modern database practices enhance performance, scalability, and flexibility while ensuring data integrity, consistency, and security. Some key practices include leveraging distributed databases for scalability and reliability, using cloud databases for on-demand scalability and maintenance, and implementing NoSQL databases for handling unstructured data. Additionally, data lakes store vast amounts of raw data for advanced analytics, and in-memory databases speed up data retrieval by storing data in main memory. The advent of artificial intelligence (AI) is rapidly transforming database development and maintenance by automating complex tasks, enhancing efficiency, and ensuring system robustness.

How Kubernetes Changed the Networking Model and What Developers Should Know about eBPF and Cilium

Aggregated on: 2024-07-30 14:38:34

Enterprise networking is a radically different discipline in today’s microservices, containers, and Kubernetes paradigm than what it used to be in the old three-tier architecture world. Containers broke traditional networking models, and in this networking rethink for the distributed computing era, a lot has happened in a very short period of time. In this exclusive interview, Nicolas Vibert — senior technical engineer at Isovalent — traces this evolution and explains how open-source projects like eBPF and Cilium are continuing to drive advanced networking use cases for the modern cloud era. Q: How Did Kubernetes Change the Networking Model? What’s Fundamentally Different About Networking in K8s/Cloud-Native Environments From Prior Enterprise Architectures? A: In many ways, Kubernetes networking is similar to our traditional networking. Regardless of the underlying computing platform, you need your network to support the needs of your business and the applications they rely upon. The requirements are the same whether you are running apps on bare metal servers, virtual machines, or on Kubernetes: you need to connect applications, you need to make them accessible to end users, you need to secure access to them, and adhere to regulatory requirements, etc…

Why Do We Need to Keep Our Builds Green?

Aggregated on: 2024-07-30 14:23:34

The Trivial Answer Most engineers know that we must have green builds because a red build indicates some kind of issue. Either a test did not pass, or some kind of tool found a vulnerability, or we managed to push our code when it couldn’t even compile. Either way, it is bad. You might have noticed that this article is far from over, so there must be more to this. You are right! What Does Green Mean Exactly? We have already discussed that red means something wrong, but can we say that green is the opposite? Does it guarantee that everything is working great, meets the requirements, and is ready to deploy? As usual, it depends.

Monitoring and Troubleshooting Serverless Applications

Aggregated on: 2024-07-30 13:38:34

Gone are the days when developers handled app development, server logs, infrastructures, and other resources single-handedly. With the introduction of serverless computing, businesses can build and deploy applications much faster. Serverless architectures offload routine tasks from developers and let them focus on app building. They offer scalable, flexible, and cost-effective solutions that eliminate the need to manage servers. This blog dives deep into serverless app monitoring and the tools that can help you monitor and troubleshoot effectively.

The Future of AI: Exploring Generative Systems and Large Language Models

Aggregated on: 2024-07-30 13:23:34

We have seen the epic growth of artificial intelligence from a field of study to a transformative power. This growth has greatly changed how various industries work, significantly impacting our daily lives. One of the most exciting developments in AI is generative systems and large language models. Generative systems and large language models are capable of creating content and solving difficult problems in industries in a way that redefines the way we interact with these technologies. Generative systems and large language models are powered by complex algorithms and vast amounts of data which enhance the capabilities of machines.

Using SingleStore for Iceberg Catalog Storage

Aggregated on: 2024-07-29 23:08:34

SingleStore recently announced bi-directional support for Apache Iceberg. Iceberg uses catalogs that are an integral part of the Iceberg table format, designed to manage large-scale tabular data in a more efficient and reliable way. Catalogs store metadata and track the location of tables, enabling data discovery, access, and management. Iceberg supports multiple catalog backends, including Hive Metastore, AWS Glue, and Hadoop, and through a database system using JDBC. This allows users to choose the most suitable backend for their specific data infrastructure. In this short article, we'll implement an Iceberg catalog using SingleStore and JDBC. The notebook file used in this article is available on GitHub.

How To Achieve High GC Throughput

Aggregated on: 2024-07-29 22:08:34

In this post, let’s explore a key performance metric studied during garbage collection analysis: "GC throughput." We’ll understand what it means, its significance in Java applications, and how it impacts overall performance. Additionally, we’ll delve into actionable strategies to improve GC throughput, unlocking its benefits for modern software development. What Is Garbage Collection Throughput? Whenever an automatic garbage collection event runs, it pauses the application to identify unreferenced objects from memory and evict them. During that pause period, no customer transactions will be processed. Garbage collection throughput indicates what percentage of the application’s time is spent in processing customer transactions and what percentage of time is spent in the garbage collection activities. For example, if someone says his application’s GC throughput is 98%, it means his application spends 98% of its time processing customer transactions and the remaining 2% of the time processing Garbage Collection activities.

Calm Down, Cloud's Not THAT Different!

Aggregated on: 2024-07-29 21:23:34

I was at a tech conference recently – one built by (and for) networking professionals – chatting with another attendee about the usual mix of news, tech challenges, and hobbies when the conversation took a sudden and sobering turn: “I guess I have a lot more time for side quests these days. I got laid off a couple of months back and can’t seem to land even a solid conversation, let alone a job offer. I thought it would be easier than this.”

AIGenOps: Generative AI and Platform Engineering

Aggregated on: 2024-07-29 20:23:34

A While Ago... We have been collaborating with a client in finance for some time now, and in a moment of relaxation, we started discussing generative artificial intelligence. And so, caught up in the excitement, as in a positive retroactive system, we began to sketch out the idea of how to integrate it and implement it in the real-world scenario in which we found ourselves. Merging the LLM/AI skills and knowledge of a DevOps engineer with the vision of a platform engineer, we began to define the requirements, constraints, and loads of a real scenario in the area of regulated software and then define possible processes and solutions.