5 posts tagged with "FluxNinja Aperture"

Web services must be equipped with the ability to anticipate and manage unpredictable traffic surges, a crucial requirement for businesses with a growing online presence. Failure to do so can lead to a degraded user experience, resulting in potential revenue loss over time. Users expect seamless and reliable service, and any disruptions or downtime can severely impact a business's reputation.

By taking a proactive approach to managing unpredictable traffic surges, web services can ensure the ongoing satisfaction of their users and the long-term success of their business. It is crucial for businesses to prioritize user journeys and invest in solutions that can help navigate these challenges.

At a Glance:

• The blog aims to demystify the process of coupling HashiCorp Consul, a widely adopted service mesh, with FluxNinja Aperture, a platform specializing in observability-driven load management.
• HashiCorp Consul and FluxNinja Aperture's technical teams collaborated to enable seamless integration. This is facilitated through the Consul’s Envoy extension system, leveraging features like external authorization and OpenTelemetry Access logging.
• By integrating these two platforms, the service reliability and performance of networked applications can be significantly improved. The synergy offers adaptive rate-limiting, workload prioritization, global quota management, and real-time monitoring, turning a previously manual siloed process of traffic adjustments into an automated, real-time operation.

In the dynamic world of software, modern applications are undergoing constant transformation, breaking down into smaller, nimble units. This metamorphosis accelerates both development and deployment, a boon for businesses eager to innovate. Yet, this evolution isn't without its challenges. Think of hurdles like service discovery, ensuring secure inter-service communication, achieving clear observability, and the intricacies of network automation. That's where HashiCorp Consul comes into play.

Rate Limiting is a common requirement for any API service to protect itself from malicious or accidental abuse. Aperture provides a powerful policy engine that can be used to implement rate limiting using the Rate Limiter Component and Flow Classifier.

In this blog post, we will specifically examine how to implement rate limiting for GraphQL queries. Let us begin by discussing what GraphQL is and why rate limiting on GraphQL queries is required.

The FluxNinja team had the opportunity to demo Aperture open source at the November 2022 edition of the Kubernetes Pune meetup, organized at Slack (Salesforce) India’s office.

Kubernetes Pune is a group for all who want to learn and share experiences about Kubernetes. This meetup group is for all skill levels, from beginners to experienced professionals. Every month, we meet and discuss various aspects of the Kubernetes ecosystem, such as service discovery, load balancing, networking, storage, and more.

Highly available and reliable Services are a hallmark of any thriving business in today’s digital economy. As a Service owner, it is important to ensure that your Services stay within SLAs. But when bugs make it into production or user traffic surges unexpectedly, services can slow down under a large volume of requests and fail. If not addressed in time, such failures tend to cascade across your infrastructure, sometimes resulting in a complete outage.

At FluxNinja, we believe that adaptive concurrency limits are the most effective way to ensure services are protected and continue to perform within SLAs.