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Does using the cloud make your business sustainable? Research suggests that it’s a greener choice.
By moving to the cloud, the e-commerce giant Etsy slashed its energy consumption by 13% (from 7330 MWh in 2018 to 6376 MWh in 2019), saving enough energy to power 450 households for a month.(1) However, migrating to the cloud doesn’t guarantee anything if you neglect to optimize your resource utilization over the long term.
Replacing human folly for algorithmic efficiency means faster and better service and a "perfect cheeseburger" every time. So what can you expect when automated solutions start making decisions about your cloud infrastructure? Well, with the tasks it can do, automation certainly buys you time to do more interesting things than micromanaging your cloud infrastructure.
I wrote a guide to help you understand the impact of automation on your job and whether it will really put your DevOps, cloud engineer, or solutions architect job at risk anytime soon.
AWS has just made a new open-source tool called Karpenter generally available. I will dig into how it works and will be unavoidably comparing it with what we have built at CAST AI.
What exactly is Karpenter, how does its autoscaling mechanism work, and should you use it?
The pay-per-use model of the public cloud seemed too good to be true. And you probably quickly caught onto its catch: analyzing and predicting your cloud costs is like driving blindfolded hoping that the street traffic would stay the same.
A solid cloud cost management strategy and tooling solves this problem – but only partially. Knowing what your costs are and where your costs come from isn’t going to reduce them magically.
Autumn is officially here and with it another portion of fresh cloud technology news.
This series brings you up to speed with the latest releases, acquisitions, research, and hidden gems in the world of cloud computing – the stuff actually worth reading.
Many organizations deploying and quickly scaling Kubernetes struggle to understand how their cloud spend is actually, well, being spent. Precise visibility into which teams, projects, or applications are spending what amount on which infrastructure services is difficult to achieve. This black box of understanding has bigger implications, of course, as Kubernetes environments grow.
(For more data on this problem, check out the Cloud Native Computing Foundation’s recent – and first-ever – report into FinOps for Kubernetes.)
Using AWS services for your projects is a great option, but getting unexpected huge AWS bills can be a nightmare. You must know the cost factors of AWS services before you start using them. This article will discuss how you can optimize AWS architecture for better cost management using AWS cost management tools, following best practices, and applying cost optimization methods.
A typical AWS cost list in AWS bills is based on computing, storage, and data transfer services.
Cloud adoption has many benefits, the most notable of which being the wide range of options and price models available. Your cloud charge, on the other hand, can get confusing. If you don’t keep track of it and review it on a daily basis, the expenses can easily escalate out of control. Fast scalability, pay-as-you-go pricing, and a vast array of options and updates can make things very complicated.
Every company should actively monitor its cloud costs, which can drive up the overall cloud bill. However, if you handle them properly, this can be avoided. Here are some AWS charges you should keep an eye on.
AWS makes a DevOps life hard. How are you supposed to make sense of EC2 pricing when there are 400 different Amazon EC2 instances?
Picking the right VM type for the job is difficult, but it doesn’t have to be.
In Q1 2021, Zoom reported that its gross margin widened to 73.9% from 69.4% in the previous quarter, primarily thanks to the optimization of public cloud resources. And Zoom is certainly not the only company that realized the value of optimizing the cloud infrastructure. As businesses migrate their workloads to the cloud and build cloud-native applications, they’re starting to realize that overprovisioning and cloud sprawl aren’t just urban legends.
For startups, the cloud is an essential technology because of its unparalleled support for scalability. But the cloud may quickly turn into a struggle because of growing costs. Here's what a16z wrote in a recent analysis:
Cost management gets complicated fast in Kubernetes, and more businesses will face this problem soon. According to Gartner, 75% of companies will be running containerized applications in production by 2022.
If you use Kubernetes on AWS, you’re probably implementing best practices to reduce your bill already. To maximize your cloud cost savings, though, you need to understand the specific challenges Kubernetes poses in cost management and optimization. Read this article to find out what they are and how to handle them.
A successful approach to AWS cost optimization starts by gaining a thorough view of the existing costs, finding potential for cost optimization, and incorporating modifications. AWS and other providers of software have resources to help clients understand how they are spending.
In this article, I'll provide a comprehensive guide on how to understand your AWS costs and needs, as a part of my AWS cost optimization series.
How well does your company handle cloud costs? While you could have spending statistics at your disposal that will reassure you that the production team is under its monthly budget or that your monthly recurring income is on an upward trajectory, this data does not actually mean that you are handling investments in the cloud as well as you should be.
RightScale and Flexera teamed up to research the cloud spending habits of companies. What they found was that 35% or even higher of cloud spend is wasted. In times when nothing is certain and when a pandemic has taken over the world, companies are very careful with their spending. Saving the resources you normally waste on cloud spend could open new possibilities for product improvement and growth.
This article is the first of my series on AWS cost optimization. In this series, I’ll introduce the challenges with AWS costs. I’ll also offer actionable recommendations on how to solve them and perform efficient AWS cost optimization.
Most businesses spend much more on processing and storage than they need. This is often the case with operating expenses for excess capacity to meet peak demand in their on-site data centers.
The cloud promises (and delivers) great benefits to organizations across the globe—agility, scalability, and of course, cost savings through a pay-as-you-go pricing model. Although a company is only billed for what they use, determining what has been used and how it is itemized on a cloud vendor’s invoice can be a daunting task that can make CIOs’ heads spin. Most organizations have multiple teams using cloud resources in different capacities round the clock, and cloud bills can quickly evolve into a twisted mass of charges that are unclear and challenging to follow.
According to Gartner, as much as 70% of cloud costs are wasted. Cloud cost optimization the process of eliminating waste, right-sizing services, identifying un-utilized or mismanaged resources, and finding opportunities for discounts. Demystify your cloud bill and improve your bottom line with the following best practices for cloud cost optimization.
Budgets are a feature of the new Azure cost management tool, which is primarily the integration of Cloudyn into the Azure portal. Budgets allow you to set a financial boundary for a subscription or a resource group, which you can monitor through cost management and trigger alerts when you are close to the cost set in your budget.
One thing you cannot do with budgets, and something that many people feel is an obvious requirement, is to stop people spending any more money when they hit the budget. If a subscription or resource group breaches its budget, then it will trigger an alert. However, it does not turn off any resources, and it does not stop further spending.
Practically everything runs in the cloud these days. Cloud technology and the multiple platforms available today certainly make running apps and web services in the cloud easier. At the same time, cloud infrastructure has new features that expand its capabilities, including deployment features like containers and advanced administrative tools.
It is relatively easy to set up a capable cloud environment for any app or service. The real challenge is creating an environment that is both effective and efficient, especially in terms of setup and running costs. With the New Year already moving quickly, every business is no doubt looking for ways to run smoother and more economically. Thankfully, cloud cost optimization can be done in many different ways across multiple services.