 The Quest for HA and DR in Loki Jan 31st 2025, 22:00, by Pavan N G According to the 2016 Ponemon Institute research, the average downtime cost is nearly $9,000 per minute. These downtimes not only cost money, but also hurt the competitive edge and brand reputation. The organization can prepare for downtime by identifying the root causes. For that, they need information on how the software and infrastructure is running. Many software programs help aggregate this information, and one of the popular and most used tools is Loki. However, keeping Loki active under pressure is another problem. Recently, our team ran the single monolith instance of Loki as a private logging solution for our application microservices rather than for observing Kubernetes clusters. The logs were stored in the EBS filesystem. We wanted our system to be more robust and resilient, so we implemented High Availability (HA) and Disaster Recovery (DR) for our microservice application. |  Building Custom Tools With Model Context Protocol Jan 31st 2025, 21:00, by Aditya Karnam Gururaj Rao Model Context Protocol (MCP) is becoming increasingly important in the AI development landscape, enabling seamless integration between AI models and external tools. In this guide, we'll explore how to create an MCP server that enhances AI capabilities through custom tool implementations. What Is Model Context Protocol? MCP is a protocol that allows AI models to interact with external tools and services in a standardized way. It enables AI assistants like Claude to execute custom functions, process data, and interact with external services while maintaining a consistent interface. |  Web Scraping With LLMs, ScrapeGraphAI, and LangChain Jan 31st 2025, 19:30, by Juveria dalvi Now that we can scrape websites using Python and its libraries like BeautifulSoup, Requests, and Pandas, let's take a step ahead and learn how we could simplify it further using LLM. Before we talk about the scraping part, let us understand the terminologies and what an LLM is. You are in the right place to learn about all these words if you are unfamiliar with LangChain, AI, or NLP. What Is LLM? LLM stands for large language model. It is a machine learning model trained on a large amount of data, referred to as a corpus, which consists of vast textual data. Large in the sense that there is a lot of data — terabytes — contained in the data. For example, an LLM may have seen terabytes of data, while a file on your computer system may be sized in gigabytes (GB). LLMs are able to respond to inquiries based on such textual data because of their thorough training. By utilizing them wisely, large language models may be applied to a variety of tasks, including summaries, Q&As, and translations. Just as Python provides libraries and frameworks, LLMs also have these resources. |  Creating a Service for Sensitive Data With Spring and Redis Jan 31st 2025, 18:00, by Alexander Rumyantsev Many companies work with user-sensitive data that can't be stored permanently due to legal restrictions. Usually, this can happen in fintech companies. The data must not be stored for longer than a predefined time period and should preferably be deleted after it has been used for service purposes. There are multiple possible options to solve this problem. In this post, I would like to present a simplified example of an application that handles sensitive data leveraging Spring and Redis. Redis is a high-performance NoSQL database. Usually, it is used as an in-memory caching solution because of its speed. However, in this example, we will be using it as the primary datastore. It perfectly fits our problem's needs and has a good integration with Spring Data. |  Magic of Aspects: How AOP Works in Spring Jan 31st 2025, 16:30, by Danil Temnikov It is from modern applications that one expects a clean and maintainable codebase in order to be able to manage the growing complexity. This is where Aspect Oriented Programming (AOP) comes in. AOP is a paradigm that enables the developers to separate the cross-cutting concerns (such as logging, metrics, and security) from the business logic of the application, making the code both modular and easy to maintain. Why Is It Important to Know AOP? I'll begin with a simple analogy: There are some things that you should do when building a house: you should think about the design of the house, about the rooms and the decor of the rooms. | |
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