article thumbnail

Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Component Design. API Design. We have provided the API design of posting an image on Instagram below. API Design. Problem Statement. Architecture. Fetching User Feed.

Design 334
article thumbnail

Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

article thumbnail

SRE vs DevOps: What you need to know

Dynatrace

SRE is the transformation of traditional operations practices by using software engineering and DevOps principles to improve the availability, performance, and scalability of releases by building resiliency into apps and infrastructure. Designating and managing Service Level Objectives (SLOs) as availability targets for a service.

DevOps 193
article thumbnail

Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. We started seeing increased response latencies and leader servers running at dangerously high utilization. The query rate in this test is set to 1K requests/second.

Cache 224
article thumbnail

Evolution of ML Fact Store

The Netflix TechBlog

We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it. The motivation has not changed since then; the design has. Design evolution Axion fact store has four components?—?fact

Storage 187
article thumbnail

Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. The incremental processing solution (IPS) described here has been designed to address the above problems. There are three common issues that the dataset owners usually face.