Introducing our open source SLO Tracker - A simple tool to track SLOs and Error Budget
Check out our open-source SLO tracker and set up your SLO's so that you can accurately track your error budgets. Automate your SRE, with Squadcast's SLO tool!
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Check out our open-source SLO tracker and set up your SLO's so that you can accurately track your error budgets. Automate your SRE, with Squadcast's SLO tool!
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.
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
What is meant by Observability and how has it evolved into something which has transformed the entire IT ecosystem. We will break down all the information in this blog. Before Agile methodology was born, developers also used something called Test-Driven Development
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.
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.
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.
Join us on 20th July at 9 AM PDT for a webinar on Declarative Provisioning and Observability with Pravanjan Choudhury.
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