Below is from Alex Xu.The Data Engineering RoadmapData engineering has become the backbone of effective data analysis.It involves managing,processing,and optimizing data to derive actionable insights.Here’s a roadmap that can help you get better at data e...
Apache Kafka is a distributed,fault-tolerant,high-throughput streaming platform.Think of it as a central nervous system for your data,reliably handling real-time data feeds. Core Concepts:Producers: Applications that write (publish) data to Kafka topics.Co...
Implementing APIs can present a variety of challenges across different phases of the development lifecycle.Here's a breakdown of common test challenges:1.Design and Planning Phase::Defining Clear Requirements: Ambiguous or poorly defined requirements lead ...
We started with a straightforward-sounding problem: take live video streams delivered over HLS and DASH,and extract meaningful context in near real time.Map each moment to a standard content taxonomy so that ad decisioning has something useful to work with...
Developing an Intelligent Priority-Based Scheduler requires defining functional requirements such as automated task ingestion,dynamic AI-driven priority calculation based on deadlines and resource availability,preemptive execution management,and real-time ...
This highly available,horizontally scalable notification platform decouples message ingestion from delivery using an asynchronous,event-driven architecture to route messages across multiple channels and third-party vendors while strictly respecting dynamic...
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka as a data store.Apache Kafka is an open-source platform for building real-time streaming data p...
Both Apache Kafka and Amazon Kinesis are powerful,highly scalable distributed streaming platforms designed to handle high-throughput,low-latency real-time data feeds.They serve as central nervous systems for data,enabling the collection,processing,and anal...
GraphQL offers several advantages over REST APIs,including fetching only the data a client needs,reducing over-fetching and under-fetching issues prevalent in REST.This leads to improved performance,especially on mobile devices with limited bandwidth.Graph...
Below is from Aurimas Griciūnas showing hierarchical layers for AI Agents.Sometimes 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 might seem simple from the outside.They are not 👇There are many moving pieces that production ready Agentic Systems rely on. I like to split the 𝗛𝗶𝗲𝗿...
What is MCP?Model Context Protocol (MCP) is a framework,often used in fields like Model-Based Systems Engineering (MBSE),but increasingly relevant in AI and software development in general,that defines how models (of systems,data,processes,etc.) should be ...
Apache Kafka is a distributed,fault-tolerant,high-throughput streaming platform designed for building real-time data pipelines and streaming applications.Essentially,it acts as a central nervous system for an organization's data,enabling different applicat...
How do you create EC2 Spot InstanceA Python script to create an EC2 Spot instance using boto3.The script launches a spot instance based on an AMI,associates it with a specific security group in a given VPC,and assigns custom tags for easy identification.Pr...
When you have a table containing an array of RECORDS,you may get confused about how to get its element value.In Google BigQuery,a persistent user-defined function (UDF) is a function stored in your BigQuery project that can be reused across multiple querie...
MLOps (Machine Learning Operations)MLOps is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.It bridges the gap between machine learning development (ML Dev) and operations (Ops),similar to ...
Apache Flink is an open-source,distributed stream processing framework that enables stateful computations over unbounded and bounded data streams.It is designed for high-throughput,low-latency,and fault-tolerant processing of data in real-time.Flink provid...
Setting up an Amazon Web Services (AWS) Elastic Container Service (ECS) involves several steps to deploy containerized applications in a scalable and managed environment.AWS ECS supports Docker containers and allows you to run applications on a managed clu...
Have you ever wanted to streamline how you develop and deploy applications? Amazon Elastic Container Service (ECS) could be the game-changer you're looking for.This service allows developers to manage Docker containers on a highly scalable and secure platf...
What is Milvus?Milvus is an open-source vector database designed for storing,indexing,and managing billions of embedding vectors.It specializes in high-performance similarity search over these vectors.Milvus is built to handle the unique challenges of vect...
This guide will walk you through installing Java and Apache Kafka on a CentOS 7 system,followed by providing three simple Java examples to interact with Kafka. 1.System Setup and PrerequisitesBefore installing Java and Kafka,ensure your system is up-to-dat...
This guide will walk you through installing all the necessary components on CentOS 7 to run PHP applications with Apache,and interact with Apache Kafka. 1.CentOS 7 Base System PreparationFirst,ensure your system is up-to-date and install essential utilitie...
What is Apache Kafka?Apache Kafka is a distributed streaming platform designed for building real-time data pipelines and streaming applications.It's a publish-subscribe messaging system that enables applications to publish and subscribe to streams of recor...
You should check incomplete multipart uploads if your Metrics in the S3 Management Console shows larger size than you actually use. In my case,I found the total size of S3 bucket was 180TB,but actually size I uploaded based on the origin storage was 40TB.I...
If you've heard of uvicorn,you know Docker.If you've heard of gunicorn,you've served at a production level.Do you agree?. uvicorn vs.gunicorn: The Core Difference:uvicorn: An HTTP server primarily designed for Ruby applications (using the Rack interface).I...
Deploying Apache Kafka across multiple Availability Zones (Multi-AZ) ensures high availability,fault tolerance,and disaster recovery.If an entire data center (AZ) goes down,Kafka continues to operate without data loss. 1.Architecture DiagramBelow is the co...
What is a Stateful Database?A stateful database is a type of database system that retains information about past interactions or states and uses this information to process subsequent requests.In essence,it remembers the "state" of the data over time.This ...
Kubernetes,often abbreviated as K8s,is an open-source system for automating deployment,scaling,and management of containerized applications.It groups containers that make up an application into logical units for easy management and discovery.Kubernetes pro...
Kubernetes,often shortened to K8s,is an open-source container orchestration platform.Think of it as an operating system for your containerized applications.It automates the deployment,scaling,and management of those applications. Here's a breakdown of what...
To prevent order data loss during Kafka failures from an infrastructure design perspective,a multi-layered resilience strategy must be implemented.First,Kafka brokers should be deployed across multiple availability zones with a replication factor of three ...
This architecture is designed to handle ultra-high concurrency (100,000+ Transactions Per Second) during peak events (e.g.flash sales,limited-edition drops) while ensuring zero data loss,strict transactional integrity,and sub-second response times. 1.High-...