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<description>Welcome back to our series, where we unravel the mysteries of infrastructure issues with a touch of Sherlock Holmes flair. Today, we tackle a perplexing case involving our trusty web server, Nginx. The problem at hand? A broken website UI after a seemingly simple routing change.
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The Initial Clue: A Broken UI Our journey began with a routine change. We needed to route requests starting with /something to a new server.</description>
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<title>Sherlock Holmes: The Great Lambda Mystery</title>
<description>Welcome to our Sherlock Holmes-inspired tech adventure Series! Imagine each technical challenge as a thrilling mystery waiting to be solved. Like Sherlock Holmes with his sharp eye for detail, I&rsquo;ll tackle the problem with wit and precision. Let&rsquo;s dive in and crack these cases together!
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The Early Morning Disturbance It was 4 o&rsquo;clock in the morning when I received an urgent call from a colleague. Our Lambda function had suddenly stopped working.</description>
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<title>Sherlock Holmes: The Case of the Missing User IPs</title>
<description>Welcome to our series of infrastructure detective stories, where we unravel the mysteries lurking within our systems In this episode, we tackle a perplexing problem: our Nginx server inside Kubernetes was logging an IP address that didn&rsquo;t match the actual user IP. Join me as we unravel the mystery and uncover the truth behind the missing IP.
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The Mysterious IP It all started when we noticed something unusual in our logs.</description>
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<title>Sherlock Homes: The Case of the Content Length Mismatch</title>
Prompt template chains Models Retrivers Agent Tools Output Memory Prompt templates Prompt templates help to translate user input and parameters into instructions for a language model. This can be used to guide a model&rsquo;s response, helping it understand the context and generate relevant and coherent language-based output.
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types of prompt templates
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String PromptTemplates from langchain_core.prompts import PromptTemplate from langchain_core.prompts import ChatPromptTemplate prompt_template = PromptTemplate.from_template(&#34;Tell me a joke about {topic}&#34;) prompt = prompt_template.</description>
<description>ZippyDB ZippyDB is the largest strongly consistent, geographically distributed key-value store at Facebook.ZippyDB uses RocksDB as the underlying storage engine
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Cassandra Cassandra is a wide-column NoSQL database management system. It was originally developed at Facebook to power the Facebook inbox search feature build in java
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https://blog.stackademic.com/architecture-of-cassandra-6d9d248a7463 FoundationDB FoundationDB is an open-source, distributed, transactional key-value store. It’s designed to handle large volumes of data and works well for both read/write workloads and write-heavy workloads.</description>
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<title>How to capture mongodb protocol in wireshark</title>
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