@squadcast shared a post, 8 months, 1 week ago

What can SREs do to make holiday season’s peak traffic less chaotic?

Holiday season's peak traffic is the most challenging period for SREs and on-call engineers. In this blog, we have highlighted the things that SREs can do to make the holiday season less chaotic.

@oshoval shared a post, 9 months ago

SRE? Understand vendor lock-in for your managed monitoring service.

Vendor lock-in refers to a situation where the cost of switching to a different vendor is so high that the customer is essentially stuck with the original vendor

@eon01 shared a post, 11 months, 2 weeks ago
Founder, FAUN

Monitoring vs Observability, What’s the Difference?

Monitoring and observability are two closely related concepts that help IT professionals understand and trouble their systems. This article explains the important component of the two concepts, focusing on observability to differentiate between the two.

Monitoring vs Observability
Post The Chief I/O Team
@eon01 shared a post, 1 year, 2 months ago
Founder, FAUN

The Pitfalls of Serverless Computing

Serverless is one of the significant trends of the moment in software development and deployment. A promising technology, Serverless Computing is developing very quickly in companies. In this concept, the cloud provider is fully responsible for launching and executing the code of your applications. A Serverless platform ensures that the resources necessary for its optimal operation are available.

@eon01 shared an episode, 9 months, 1 week ago
Founder, FAUN

The Four Golden Signals, SlO, SLI, and Kubernetes

It's 2018 in Kubecon North America, a loud echo in the microphone, and then Ben Sigelman is on the stage.

There is conventional wisdom that observing microservice is hard. Google and Facebook solved this problem, right? They solved it in a way that allowed Observability to scale to multiple orders of magnitude to suit their use cases.

The prevailing assumption that we needed to sacrifice features in order to scale is wrong. In other words, the notion that people need to solve scalability problems as a tradeoff for having a powerful set of features is incorrect.

People assume that you need these three pillars of Observability: metrics, logging, and tracing, and all of a sudden, everything is solved. However, more often than not, this is not the case.

Today we are going to discuss Observability and why this is a critical day-2 operation in Kubernetes. Next, we will discuss the problems with Observability and leverage its three pillars to dive deep into some concepts like service level objectives, service level indicators, and finally, service level agreements.