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Introduction Good software architecture is crucial for a business to reach its goals. It provides a structured way to build software that is easy to maintain, reliable, and performs well. Key drivers of software architecture Several factors influence a software’s architecture: Business requirements: What the software needs to do. Quality attributes: How well the software performs, such as its speed, scalability, and availability. Agility: How quickly the development team can adapt to changes. Constraints: The limitations of the deployment environment, such as the hardware or operating system. Principles: Established practices, like automated testing and deployment, that guide the development process. Different Ways to Structure Software There are two main ways to build software applications: ...

Introduction A Software Bill of Materials (SBOM) is a list of all the components, libraries, and modules that make up a software, providing transparency into its composition. It describes various packages and dependencies that go into creating a software artifact. Software products are composed of many different components, some of which might come from third party sources. These third-party components and dependencies can have vulnerabilities, which attackers can exploit, leading to security incident or breaches. Key threats include attackers inserting malicious code, vulnerabilities in outdated components, and breaches by compromised suppliers. These issues can lead to data breaches, operational disruptions, and reputational damage. SBOM can help improve software security and protect against potential threats. ...

Introduction In the ever-evolving landscape of AI and machine learning, Google’s MCP Toolbox for Databases stands out. This open-source server enables developers to connect generative AI applications to enterprise databases, facilitating prompt-based querying and natural language processing (NLP). Whether you’re setting up your LLM on-premises using OLLAMA or leveraging providers like Gemini, Claude, or OpenAI, this toolbox offers a versatile and powerful solution. Lets explore it in detail. ...

Background There was a requirement to perform series of tasks, involving generation of output files, such that the required throughput is achieved. These tasks involve database read operation, external API invocation and file i/o. Generally, benchmarking showed that executing them in sequential way was not helpful. What if asynchronous programming be used to perform this task. So Lets Start. Approach Lets assume that this typical use case requires, fetching data from database for the purpose of merging placeholders in a Template and perform mail merge ...

Introduction Artificial Intelligence, especially Large language models (LLMs) are all in high demand. Since OpenAI released ChatGPT, interest has gone up multi-fold. Since 2023, Powerful LLMs can be run on local machines. Local Large Language Models offer advantages in terms of data privacy and security and can be enriched using enterprise-specific data using Retrieval augmentation generation (RAG).Several tools exist that make it relatively easy to obtain, run and manage such models locally on our machines. Few examples are Ollama, Langchain, LocalAI. ...