Let’s be honest, working with Kubernetes (K8s) has never been the easiest tech to work with. As a seasoned Kubernetes professional, I find myself constantly looking for ways to set up collecting data from my clusters, only to find out that there is a new, more complicated way to get the data I’m looking for.

Grafana is a tool that helps users identify and fix performance issues by allowing them to monitor and analyze their database. Grafana is famous for making great graphs and visualizations, with tons of different functionalities. This Grafana tutorial is about one of these functionalities: Annotations. Grafana annotations are for users who want to make notes directly onto the graphs in their dashboards. There are various reasons a user might want to do this.

One of the major benefits of choosing the cloud over on-premise architecture is the ability to easily and quickly scale — but what does scalability mean in cloud computing? If your business is in the process of growing, it’s important to know your technology options so you can make informed decisions on how to scale. In this article, we cover scalability in cloud computing, its benefits, and more. Let’s get to it!

Cloud spenders of all sizes, but particularly those who have exceeded the $50,000 a month benchmark, know how challenging it can be to extract meaningful insights from their spend environments. As a digital-native company grows, its spend environment naturally gets more complicated — and without a strong organizational framework, what could be a treasure trove of data turns into a rat’s nest of semi-organized, confounding figures.

As a SaaS leader, you probably understand how crucial it is to get your engineers to make strategic cloud cost decisions. After all, your engineers are responsible for most of the cloud operating costs within your company. Unfortunately, getting engineers to care about costs isn’t always intuitive or easy. In fact, it’s commonly thought to be one of the most difficult challenges faced by SaaS leaders and FinOps specialists.

This tutorial guides you on how to use the Amazon SageMaker Orb to orchestrate model deployment to endpoints across different environments. It also shows how to use the CircleCI platform to monitor and manage promotions and rollbacks. It will use an example project repository to walk you through every step, from training a new model package version to deploying your model across multiple environments.

It is vital to understand the price of Azure Logic Apps for multiple reasons, regardless of whether you are a developer overseeing their implementation or a business wishing to use the platform for your operations. Understanding the pricing model facilitates efficient budget planning and allocation for your tasks. You can avoid unforeseen expenses and make more accurate cost estimates.

Site Reliability Engineering (SRE) stands out as a crucial discipline, ensuring the smooth operation and scalability of intricate software systems. SREs employ a diverse toolkit, automating tasks, monitoring system health, and proactively tackling potential issues. The goal? To elevate site reliability and keep downtime at bay. In this blog, we'll dive deep into the realm of SRE tools, breaking down what each tool brings to the table.

In typical re:Invent fashion, AWS has made a series of big announcements before the main event even kicks off! Here are some groundbreaking serverless updates that you should know about.

When the concept of Zero Trust emerged in 2010, it marked a sea change in how IT and network security are handled. The term, invented by Forrester Research analyst John Kindervag, is loosely based on the “never trust, always verify” motto. So why is this a sea change? Before 2010, IT focused on perimeter defenses and the concept of DMZs — areas of the network they deemed safe based on the protection they implemented.