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· 11 min read
Tanveer Gill

Imagine a bustling highway system, a complex network of roads, bridges, tunnels, and intersections, each designed to handle a certain amount of traffic. Now, consider the events that lead to traffic jams - accidents, road work, or a sudden influx of vehicles. These incidents cause traffic to back up, and often, a jam in one part of the highway triggers a jam in another. A bottleneck on a bridge, for example, can lead to a jam on the road leading up to it. Congestion creates many complications, from delays and increased travel times, to drivers getting annoyed over wasted time and too much fuel burned. These disruptions don’t just hurt the drivers, they hit the whole economy. Goods are delayed and services are disrupted as employees arrive late (and angry) at work.

But highway systems are not left to the mercy of these incidents. Over the years, they have evolved to incorporate a multitude of strategies to handle such failures and unexpected events. Emergency lanes, traffic lights, and highway police are all part of the larger traffic management system. When congestion occurs, traffic may be re-routed to alternate routes. During peak hours, on-ramps are metered to control the influx of vehicles. If an accident occurs, the affected lanes are closed, and traffic is diverted to other lanes. Despite their complexities and occasional hiccups, these strategies aim to manage traffic as effectively as possible.

· 10 min read
Sudhanshu Prajapati

We’ve been hearing about rate limiting quite a lot these days, being implemented throughout popular services like Twitter and Reddit. Companies are finding it more and more important to control the abuse of services and keep costs under control.

Before I started working as a developer advocate, I built quite a few things, including integrations and services that catered to specific business needs. One thing that was common while building integrations was the need to be aware of rate limits when making calls to third-party services. It’s worth making sure my integration doesn't abuse the third-party service API. On the other hand, third-party services also implement their own rate-limiting rules at the edge to prevent being overwhelmed. But how does all this actually work? How do we set this up? What are the benefits of rate limiting? We’ll cover these topics, and then move on to the reasons why adaptive rate limiting is necessary.

· 8 min read
Marta Rogala

Have you ever tried to buy a ticket online for a concert and had to wait or refresh the page every three seconds when an unexpected error appeared? Or have you ever tried to purchase something during Black Friday and experienced moments of anxiety because the loader just kept on… well… loading, and nothing appeared? We all know it, and we all get frustrated when errors occur and we don't know what's wrong with the website and why we can't buy the ticket we want.

· 18 min read
Sudhanshu Prajapati

Even thirty years since its inception, PostgreSQL continues to gain traction, thriving in an environment of rapidly evolving open source projects. While some technologies appear and vanish swiftly, others, like the PostgreSQL database, prove their longevity, illustrating that they can withstand the test of time. It has become the preferred choice by many organizations for data storage, from general data storage to an asteroid tracking database. Companies are running PostgreSQL clusters with petabytes of data.

· 3 min read
Sudhanshu Prajapati
Karanbir Sohi

San Francisco — FluxNinja is thrilled to announce the General Availability of its innovative open source tool, Aperture. This cutting-edge solution is designed to enable prioritized load shedding driven by observability and graceful degradation of non-critical services, effectively preventing total system collapse. Furthermore, Aperture intelligently auto-scales essential resources only when necessary, resulting in significant infrastructure cost savings.

· 13 min read
Sudhanshu Prajapati

In today's world, the internet is the most widely used technology. Everyone, from individuals to products, seeks to establish a strong online presence. This has led to a significant increase in users accessing various online services, resulting in a surge of traffic to websites and web applications.

Because of this surge in user traffic, companies now prioritize estimating the number of potential users when launching new products or websites, due to capacity constraints which lead to website downtime, for example, after the announcement of ChatGPT 3.5, there was a massive influx of traffic and interest from people all around the world. In such situations, it is essential to have load management in place to avoid possible business loss.

· 7 min read
Sudhanshu Prajapati

Graceful degradation and managing failures in complex microservices are critical topics in modern application architecture. Failures are inevitable and can cause chaos and disruption. However, prioritized load shedding can help preserve critical user experiences and keep services healthy and responsive. This approach can prevent cascading failures and allow for critical services to remain functional, even when resources are scarce.

To help navigate this complex topic, Tanveer Gill, the CTO of FluxNinja, got the opportunity to present at Chaos Carnival 2023 (March 15-16), which happened virtually, the sessions were pre-recorded. Though, attendees could interact with speakers since they were present all the time during the session.

· 15 min read
Sudhanshu Prajapati

Cover Image

Service meshes are becoming increasingly popular in cloud-native applications, as they provide a way to manage network traffic between microservices. Istio, one of the most popular service meshes, uses Envoy as its data plane. However, to maintain the stability and reliability of modern web-scale applications, organizations need more advanced load management capabilities. This is where Aperture comes in, offering several features, including:

· 19 min read
Sudhanshu Prajapati

Graceful Degradation

In today's world of rapidly evolving technology, it is more important than ever for businesses to have systems that are reliable, scalable, and capable of handling increasing levels of traffic and demand. Sometimes, even the most well-designed microservices systems can experience failures or outages. There are several examples in the past where companies like Uber, Amazon, Netflix, and Zalando faced massive traffic surges and outages. In the case of Zalando (Shoes & Fashion Company), the whole cluster went down; one of the attributes was high latency, causing critical payment methods to stop working and impacting both parties, customers, and the company. This outage caused them a monetary loss. Later on, companies started adopting the graceful degradation paradigm.

· 7 min read
Tanveer Gill
Charu Jangid

A robust reliability automation strategy is essential for the successful management of cloud applications. It not only sets top-performing apps apart from the rest, but also establishes trust with end customers and drives business success. Whether you are a small or large organization, investing in reliability management is crucial for ensuring the availability, performance, and consistency of your services.

In this blog, we will introduce you to the fundamental principles of reliability automation, known as the Reliability Spectrum. Consist of three key pillars - prevention, protection, and escalation & recovery - the Reliability Spectrum provides a comprehensive framework for maintaining a reliable cloud application. Join us as we delve into the details of each pillar and explore the essential components of a successful reliability automation strategy.