Elastic

In the rapidly evolving landscape of AI, managing the “plumbing” between your embedding models and your search engine is often a challenge. Developers frequently struggle with switching providers, managing API keys, and maintaining consistent API specifications. LiteLLM solves the model management problem by acting as a universal proxy, while Elasticsearch delivers high-performance Vector Search. By combining them, you can build a search architecture that is both flexible and powerful. In this guide, we will walk through hosting an OpenAI-compatible embedding model using LiteLLM on Docker and consuming it directly from Elasticsearch to perform seamless vector search. ...

Introduction In this gist we will quickly spin a sample Kubernetes cluster and deploying the nginx pod. Additionally, we will implement monitoring using Elastic. Setup K8s cluster Cluster architecture 3 Node cluster Machine - Centos7, 4GB RAM kube1.local - Control plane node kube2.local - worker node kube3.local - worker node Here I am setting hostname kube1.local, kube2.local, kube3.local. Login into all of the servers and perform below command on all three nodes. ...

Introduction Bring logs, metrics, and traces from your Kubernetes cluster and the workloads running on it into a single, unified solution. Elastic observability gives better visibility on your kubernetes ecosystem where you can monitor your pods, services, workload etc. Use a centrally managed Elastic Agent to gain visibility into your Kubernetes deployments on EKS, AKS, GKE or self-managed clusters. Talk Video

In this blog, we will see how you can quickly setup ELK (Elasticsearch, Logstash, Kibana) stack to receive the HTTP webhook. Mostly ELK stack is known for logging purposes. But Elastic stacks are much more beyond the logging use case. Elastic provides Search, Observability & Security you can check more on this with official documentation. What is Webhook ? Webhook enables the two programs to communicate or transfer the data with the help of callback functions / hooks. Now in the modern tech world it is also known as Reverse API, Push API etc. Mostly it is used to send small amounts of data from source to destination. It is a one way data transfer procedure. It works over the HTTP protocol using REST API. It is simple like client and server communication. Most of the saas allow you to integrate their product with your system with the help of APIs and Webhook only. E.g. Slack and discord allows you to push messages with the help of webhooks. To accept the webhook event, You need to expose one HTTP endpoint lets say ...

What this talk is all about ? Elastic Stack (Elasticsearch, Logstash, Kibana and Beats) is such a platform which is built for scalability, performance and “You know… for Search”. When you have a system which scales to the horizons of your data, helps you in your data quest, shows you insights - imagine what you can do with it. Talk Video Feel free to comment below, If you have any doubts or suggestion about this talk.