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This guide covers CloudOps in full detail, including the benefits of a Cloud Operations approach — and best practices to get you started.
As cloud adoption continues to increase, organizations are recognizing the need for cloud operations. CloudOps, as it’s often called, has become the industry standard for cloud-powered enterprises that intend to get the most out of their cloud services.
Previously, it was common for organizations to rush into cloud adoption, with IT operations handling cloud installation, management, and maintenance tasks. The cloud, at the time, was considered to be a complementary extension of on-premise systems.
But then came the likes of AWS, Azure, and GCP, forcing enterprises to adjust their cloud strategies. Rapid cloud adoption approaches were replaced with Cloud Operations, as organizations carefully migrated even their mission-critical workloads to the cloud. This is precisely when IT operations morphed into a variety of more-specialized focus areas.
In particular, Cloud Operations (CloudOps) now features quite prominently among the 94% of enterprises that are leveraging the cloud. It works in tandem with DevOps to mitigate inefficiencies that were common with rapid adoption.
However, while CloudOps and DevOps are closely-related, the terms cannot be used interchangeably. The two refer to distinctly different sets of operations, which you might need as your organization adopts and upscales its cloud infrastructure.
To help you understand the differences, and Cloud Operations as a whole, this guide will cover CloudOps in full detail, including the benefits and disadvantages of a Cloud Operations approach — and best practices to get you started.
Table Of Contents
Known simply as “CloudOps”, Cloud Operations refer to a combination of activities that seek to optimize IT services, tools, workloads, and processes in the cloud. Typical tasks here cover things like device management, performance, security, network, compliance, and software development — for the sake of keeping the underlying cloud infrastructure and its native applications running smoothly.
You can think of CloudOps as a collection of well-coordinated actions that enhance the efficiency, accessibility, availability, and flexibility of your cloud systems — which, in turn, translates into improved business agility.
While the cloud is widely praised for its flexibility, cost-effectiveness, and high accessibility, migrating your applications won’t guarantee you these benefits. Ultimate efficacy here is only achieved when you additionally optimize the cloud-based processes.
That’s where Cloud Operations come in. They manage the cloud-based data and applications accordingly to keep them performing optimally for increased productivity.
That’s why, for instance, you’ll find CloudOps teams leveraging a host of cloud monitoring and automation tools. Such strategies help them capitalize on the full potential of their cloud services while, at the same time, expanding control and keeping tabs on core metrics.
This is not a one-time engagement, though. Cloud Operations are supposed to be performed continuously, right from the moment you migrate to the cloud. Suspending the activities would only compromise your cloud systems — leading to increased system vulnerabilities and inefficiencies.
Even organizations that are yet to hire CloudOps teams are still performing some form of cloud operations. The bulk of small to medium-sized businesses, for instance, are actively expanding their cloud operations without necessarily engaging dedicated CloudOps practitioners. They, instead, delegate Cloud Operations roles to their internal IT departments.
Large enterprises, on the other hand, run dedicated Cloud Centers of Excellence — or CCOE in short. This is where you’ll find professional experts who specialize in a host of cross-functional cloud operations disciplines — such as compliance, security, IT operations, cloud services, and cloud architecture.
At the center, however, are CloudOps engineers. They are the primary service providers in the field of Cloud Operations, typically tasked with automating processes, keeping tabs on system performance, plus identifying possible vulnerabilities and bottlenecks.
While CloudOps is all about managing and optimizing cloud-based systems, DevOps deals with both development processes and IT operations. In a way, you could say that it’s geared towards facilitating agile collaboration between IT operations and development.
This wide area of focus means that DevOps is not as restricted as CloudOps. The activities here are specially engineered to achieve collaboration and efficiency across the entire organization — by progressively optimizing tools, processes, and people.
To put it simply, DevOps teams seek to enhance communication between IT departments and development. This alone manages to minimize delivery life cycles, allowing organizations to roll out software and updates quicker, within a well-controlled environment.
As a result, DevOps:
You’ll notice, in particular, that DevOps is largely human-focused, while CloudOps supports cloud computing. That’s why development teams are bound to enjoy a more seamless experience with DevOps — while Cloud Operations, on the other hand, achieve more or less the same efficiency with cloud assets.
Don’t get it wrong, though. DevOps and CloudOps do not run separately and independently of each other. On the contrary, they are intricately connected, with CloudOps serving as one of DevOps enablers.
The process itself is pretty straightforward. DevOps manages to run agile and continuous processes for the sake of improving delivery. Then CloudOps picks up from there and complements DevOps by pushing the operations to the cloud. So, in the end, organizations get to enhance their development even further, thanks to the power of cloud computing.
As with any cloud-oriented system, Cloud Operations are not entirely risk-free. They come with their fair share of drawbacks, which could potentially compromise your systems.
So, to help take all the necessary precautions, here is a full breakdown of all the pros and cons you should expect from CloudOps over the long haul.
To mitigate these risks and get the most out of your cloud operations, you should follow the following best practices:
Instead of randomly rolling out your cloud applications and systems updates, it’s advisable to follow a structured deployment plan. So, take the time to draft an appropriate one based on your cloud architecture, system network, business needs, and sequence of operations.
With that, you’ll be able to deploy applications without interfering with other operations, or perhaps triggering outages.
As you scale your CloudOps, you’ll notice that most of the cloud-based processes tend to follow a recurring pattern. Data backup and network scanning operations, for instance, typically maintain a consistent schedule.
Now, don’t stop there. Go deeper within your organization's systems, and find similar custom processes. Then for the few that meet the criteria, you can automate their operations to run without any human input. This will considerably ease your workload, giving you the time to handle other critical operations within your company.
Relying on a single server or application layer is especially risky, as cloud systems are not completely foolproof. Even a minor adjustment — such as a software update — can potentially interfere with your core processes and lead to service disruption.
To avoid this, you should build redundancy by duplicating the critical components into a multilayered architecture. This should guarantee service availability, as the secondary systems would step in to replace the primary one whenever there’s a service disruption.
Don’t get carried away by all the freedoms you find on enterprise platforms like AWS. Instead of aiming for everything you can afford, try provisioning your resources based on your system needs.
You can start by tracking your company’s processes to get a rough idea of the computing demands during peak and off-peak periods. Then using the data, you’ll be able to determine the precise amount of resources you’ll need to support everything.
The limits, in particular, can be set a little higher than the maximum demand value — after which you could monitor the cloud operations and scale accordingly as the demands shift. This is one way to prevent overprovisioning, which can be a pretty costly affair with time.
One of the major benefits of moving to the cloud — besides flexibility and remote accessibility — is cost-efficiency. Yet, organizations are increasingly spending more than they should due to inefficient architecture, overprovisioning, unutilized resources, not measuring cloud unit costs, and more.
To optimize costs, you should consider setting up a robust monitoring system that provides in-depth insight into your cloud spend. Sadly, the native cost management tools you’ll find on cloud platforms are limited in terms of monitoring and measuring costs.
This is where a cloud cost intelligence platform, like CloudZero, can help.
CloudZero provides visibility into your cloud costs, enabling organizations and engineering teams to drill into cost data from a high level down to the individual components that drive their cloud spend — and see exactly what cloud services cost them the most and why.