Recession. Layoffs. Hiring freeze.
If you’ve been tuned into any major news outlet, social media app, or even family gossip at the dinner table, you’ve probably heard these terms floating around. Industry giants like Amazon, Google, and Meta have been firing up their business logic and slowing down their hiring processes, letting talented individuals go because of market conditions.
The current situation we’re in is dire, don’t get me wrong. However, this also creates a unique opportunity for businesses to look towards unorthodox ways to cut their IT costs, whether it’s by choosing an alternative service from that of an AWS or Azure-tier provider, reallocating budgets, or re-strategizing in general.
How can you quickly reduce operations and offset inflation for your business without compromising your application performance?
We all know the tale of Julius Caesar: Roman dictator stabbed in the back by 60 or so of his closest senators and advisors.
Take a moment to evaluate your tech stack; do you notice anything that’s off?
If you said no you’re probably right; at first glance, the tech you’re using may seem fine and - given that your application and website are still up and running - won’t need any improvement for years to come. And then VMs and monolithic applications enter the picture.
In this situation, your IT spend is Julius Caesar (minus the infamy) and VMs and monolithic applications are the senators and advisors, plotting your IT spend’s demise behind the scenes. But why?
Let’s start with monolithic applications: they’re single unit applications that can be complex and difficult to operate with and on. The cost bleeding occurs because of its single unit build. Imagine having to update a single part of the application- instead of updating only that part, you’re forced to update the whole application, which can prove deadly in some instances and work backwards. Because of the single unit build, monolithic applications are often hard to debug, with its complexity wreaking havoc and causing miscommunication among engineering teams. Even scaling within a monolithic architecture is an Olympics-level task that involves scaling the whole application by adding more compute resources than needed.
All this trouble for an application that, in the long run, will cost you more money.
Virtual machines, or VMs, are environments that utilize software to deploy and run applications, instead of the traditional physical machine. VMs are heavy in storage space and require more costs to expand, though the real reason why VMs are causing your IT spend to skyrocket is because of their use of operating systems (OS). Each VM requires layers of OS and a hypervisor to create and run the VM. For each of these operating systems and hypervisors being used, licensing and tax fees are tacked on, with server hosting costs being added into the mix too.
While utilizing monolithic apps and VMs can be beneficial initially, long-term costs will prove to be the nail in the coffin for anybody’s IT spend.
The way to combat these costs and save money? Renovate your infrastructure.
We went over the reason why your IT spend budget might be bleeding, but here are the 3 ways to seal this wound and reduce your IT costs:
If you’ve seen any of our social media posts or blogs before this one, then you’ll know that at Lyrid, we’re HUGE fans of microservices. What’s not to love about microservices and microservices architectures?
For one, they’re self-contained; meaning that if one service were to fail and maintenance were needed, the other microservices will not be placed in any jeopardy. Management becomes more clear as whole teams can be assigned to separate microservices. Microservices are also easier to scale and more flexible than monolithic applications.
While microservices are a bit more expensive than running a monolithic application initially, the savings from microservices will be apparent over time. Faster development, streamlined management, and the ability to debug issues without having to shutdown the application are just some ways that microservices help you save. However, where microservices truly shine is when they’re run inside a container.
Containers are software that compiles code and their assets required to run in a nice, manageable package- similar to a present. They’re extremely lightweight - meaning that rather than utilizing a separate operating system (OS), they share one with the machine they are run on - and are able to bounce between environments seamlessly. Containerization allows you to deploy and run your applications virtually anywhere, whether it’s on a VM or a bare metal infrastructure (which can prove to be thrifty). Containers themselves are hyper flexible and are able to pack multiples of themselves into a single machine with ease due to their small stature. Sounds familiar, right?
When microservices become containerized, their positive attributes are doubled-down. The containerized microservice develops faster and is more flexible in terms of management and portability. By removing the need for multiple operating systems in an architecture that involves VMs, containerized microservices significantly reduce the unnecessary overuse of resources and omits the costs of OS and server licensing, proving to be a force to be reckoned with in terms of power and costs.
Deploying through a layer of Kubernetes, containerized applications get the VIP treatment, receiving all the automation benefits of Kubernetes and the efficient deployment and container management. This isn’t anything new, either. Generally speaking, the container and Kubernetes option are the go-to solution for companies, with 96% of organizations adopting this Kubernetes, according to the Cloud Native Computing Foundation.
Planning on shifting to an organization-wide microservice architecture by yourself? Here are some things to consider:
Although the process may seem tedious and dangerous, 92% of organizations have greatly benefited from the adoption of microservices. It’s no wonder why so many companies, including titans like Amazon and Spotify, are making the shift and saving millions of dollars every year.
Nowadays, bare metal is barely mentioned as a viable option, especially in a cloud-dominated world. However, this is where most people fail to see the potential cost-savings and power supply that this technology brings to the table.
Being able to stand its ground against huge IaaS cloud services, bare metal - specifically bare metal cloud - combines the efficient, low latency exterior of alternatives like Big Data and IoT with the cost-reducing interior of Kubernetes. Unlike VMs pulling from a machine, bare metal runs straight from the machine, providing full capability, better utilization, and greater service control - all at a faster speed. On the topic of bare metal vs VM, bare metal takes the trophy.
Let's look at the per-unit price of bare metal vs. IaaS, for example.
Initially, pay per unit of resource consumption with IaaS will seem advantageous, especially if your application still needs to scale. Once more users flock towards your application, the IaaS model of “pay for what you use” will start bleeding your wallet. Bare metal, on the other hand, provides a flat rate to rent a bare metal machine, with the need to pay anymore being contingent on whether you want to add more machines or not.
Running your application on bare metal hardware and hosting on a bare metal server can also reduce your IT costs by omitting pieces within a traditional IaaS tech stack that aren’t necessary in bare metal operations.
If you notice in the graphic above, the IaaS tech stack includes a hypervisor, but what it doesn’t explicitly show is the hypervisor tax.
Hypervisor tax is the total cost of running the hypervisor and VM, including any costs like licensing and support, to operating systems and compute time. If this didn’t sound bad enough, these costs typically ramp up as you scale, with VMs requiring more and more of these resources to run efficiently. Bare metal allows you to bypass these hidden costs - amongst the costs of OS licenses and servers - letting you pay that flat rate to rent the machine.
The bare metal market is only growing, too. In 2021, this market was valued at $5.5 billion, with a CAGR of 23% from 2022 to 2029. With the increase in bare metal cloud utilization, who knows how far this goes.
The process of utilizing a bare metal server is complex. From the start, configuration and management of a bare metal system requires the work of an experienced professional and some time to implement. Costs can be high initially, however, as your solution scales, the cost of running on a bare metal server will be mitigated. Instead of having your own bare metal server, running your solution within one at a data center might prove to be the most cost effective method.
SaaS companies and Kubernetes are like two peas in a pod, like the Batman and Robin of the tech-driven world.
Software housed in companies like Shopify, Hubspot, and Adobe are used by millions of people around the world daily, pushing them to the extremes. Kubernetes not only supports the everyday operations of these software applications, but also supports the budget sheets of their parent companies
How does a Kubernetes infrastructure create opportunities for companies - from startups to industry juggernauts - to cut their IT costs and maximize their resource use? Through their automation capabilities.
Here are some automation attributes of Kubernetes and how they slash your IT costs:
I’m sensing you see a common theme amongst these attributes: the removal of interference within the development, deployment, and maintenance processes. Coupled with containerized microservices, Kubernetes is able to significantly slash your IT spend.
Because Kubernetes and Kubernetes components provide a simple and all-encompassing solution, the technology itself is complex. If configured incorrectly, your application performance can actually decrease, and IT costs will drive up as a result of faulty deployment. In addition, the migration process could take days, even weeks, to accomplish with a professional. Looking to implement Kubernetes into your organization? We highly recommend that you have a Kubernetes engineer or professional on standby for this timely implementation.
Oftentimes, a salary can be the make it or break it moment in a budget. In the U.S, the average Kubernetes engineer’s salary is $156,773, according to Ziprecruiter. Coupled with the time and resources spent during the onboarding phase, you’ll likely be spending more money than anticipated. If money and extending your runway is a top priority, especially at the moment, then hiring another engineer might not be the best decision financially (though it’s totally up to your discretion).
However, managed Kubernetes has become a top candidate amongst the list of viable Kubernetes alternatives to hosting your own Kubernetes in-house. In a 2021 survey conducted by the Cloud Native Computing Foundation (CNCF), it was found that 79% of respondents were found to be using “Certified Kubernetes Hosted platforms” instead of pushing for their own Kubernetes. And that number is expected to grow in the next couple of years.
The benefits of Kubernetes expand past the cost-efficiency, the earlier you embrace this infrastructure the better!
Want to know the #1 way to cut your IT costs?
Short answer: Lyrid
Lyrid is a multi-cloud solution geared towards making development more affordable and automated. With our experience and expertise in managing Kubernetes, we strive to streamline your engineering processes and cut your costs.
We’re able to cut your overall IT costs by:
We’ve been told that Lyrid Kubernetes has truly saved applications, however we would like for you to be the judge of that.
Partnering with us means partnering with a company that truly cares about your solution. Partners and clients receive:
And have proven to be successful!
Our Kubernetes platform is aimed at giving you a streamlined and convenient Kubernetes experience, with personalized customer service to help guide you through any processes. The results we drive are profitability, efficiency, and an unparalleled customer service experience.
Like Julius Caesar once said, “Experience is the teacher of all things”.
You may have experienced the epic highs of using Kubernetes and microservices, the tragic lows of relying on monolithic applications and VMs, but at the end of the day - regardless of outcome - these highs and lows are just experiences.
To experience is to learn; we spent the entirety of the blog teaching you about containers, microservices, and Kubernetes - but why not experience them firsthand?
If you’re interested in experiencing our Kubernetes platform, visit our product page!
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