What Is the Difference Between CloudOps And DevOps?

Most business managers get confused between CloudOps and DevOps easily. And it is a way too common problem so here we are drawing a line between CloudOps and DevOps that can help the business managers understand the basic difference between CloudOps and DevOps.

As the name proposes, DevOps is a mix of ”Development” and ”Operations”, and depicting it as “specialized deft” appears to be shockingly exact. A bunch of practices and processes assist associations with making a spry, cooperative climate that unites software development, IT tasks, and quality designing to fulfill the basic business operations such as:

  • Abbreviate development cycles.
  • Minimize product time to market.
  • Execute constant advancements.
  • Guarantee project alignment with organizational objectives.
  • Provide top-notch products to fulfill client expectations and requirements.

The execution of DevOps assists organizations with further enhancing product development cycles, tools, and efficiencies to establish a superior work environment and to add an incentive for clients constantly.

DevOps: A Culture of Finishing Stuff

As pioneers in the industry, we (in some cases) tend to over-designing things and that is how I accept we manage cascades. 

While the possibility of Big-Design-Up-Front could have been okay a long time back while composing a program required two or three hours and compiling it required a long time, it just does not make a difference any longer.

DevOps is a philosophy that incorporates the development and IT operation teams of the organizations, to smooth out cycles and methods related to software development, system updates, and the goal of execution issues. 

Working on the communication among development and IT teams takes into consideration the more prominent cooperative open door, determined to diminish how much time is important to convey programming or updates while likewise limiting interruptions like blackouts or downtime. 

Integrating development and testing with tasks and support into one strong DevOps team considers a more thorough perspective on the qualities and weaknesses of a system or application.

More noteworthy spryness and functional improvements are two of the main targets of DevOps and a digital transformation that consolidates cloud development can work with those objectives. 

CloudOps is short for Cloud Operations and is the most common way of recognizing and characterizing the proper functional systems to upgrade IT administrations inside the cloud climate. It is the summit of DevOps and conventional IT tasks applied to cloud-based models.

Effective cloud migration requires a thorough comprehension of the ongoing capacities of cloud assets as opposed to attempting to adjust existing functional ways to deal with fit into the cloud stage. 

Subsequently, CloudOps requires an authoritative wide difference in thinking. Veering off from standard tasks can be a difficult change, yet the brief inconvenience merits the advantages, which include:

  • Scalability

Cloud innovation permits you to increment or diminish the limit whenever you want without putting resources into extra space or equipment. Capability planning and asset management will become virtualized.

  • Automation

Cloud assets automate numerous activities across the SDLC, which prompts self-mending frameworks and diminishes disturbances to applications or clients.

  • Accessibility

An absence of onsite servers permits teams of organizations to oversee servers and tasks from any place.

  • Shared Resources

Distributed computing permits applications that share normal administrations to work well without being interconnected.

  • Backup Management

Since information is not stored centrally or in any physical location, catastrophe recuperation processes are naturally set up with cloud innovation.

  • Metered Costs

Cloud assets track utilization, making it simpler to allocate, manage and distribute costs.

  • Continuous Operations

Cloud-based frameworks consider constant activities since the software can be updated and sent without disturbance to support assuming that the appropriate systems are set up.

Best Practices of CloudOps

The progress from onsite servers to a public cloud supplier requires a critical change in outlook. Because of the rising ubiquity of distributed computing, it’s a change numerous associations are currently embracing. 

Involving CloudOps along with DevOps offers your activity more velocity, adaptability, and efficiency. Work with your team’s advancement to CloudOps by implementing the accompanying accepted procedures.

  • Empower Agility

It’s fundamental that your security or administration group is completely energetic about each part of distributed computing. 

In the event that groups neglect to cooperate and make the implementation process more troublesome, the final product will be less straightforward and an absence of generally speaking cohesiveness. 

Try not to make more limitations; all things considered, obviously characterize and execute important rules.

  • Empower Users

Despite the fact that cloud assets require administration management and configuration for security and consistency, DevOps groups are liable for the everyday utilization of the tools and technologies that deal with the cloud platform and would in a perfect world have input about assets. 

Allow your users to self-arrange their own machines, or to use auto-provisioning so applications demand more machines or abatement limits in view of utilization.

  • Automate Security

Diminishing security takes a chance by carrying out processes that utilize automation to test the configuration of cloud resources. 

Automating security checks and laying out clear consistent arrangements to be trialed by all teams of the organization guarantees consistency as your cloud impression develops and advances. 

Remediation can likewise be automated, permitting developers to moderate troubles without workflow disturbance.

  • Execute Redundancy

One of the goals of DevOps includes persistent activities and zero downtime. Cloud-based frameworks create persistent activities conceivable since the product can be refreshed or sent without disturbance to the application or administration. 

Executing automation and overt repetitiveness at both the cloud supplier layer and the application layer guarantees that the application will be accessible regardless of updates or software changes.

  • Facilitate Change Management

Lessening the time between thought evolution and product deployment is one of the essential objectives of DevOps, however, changing the management can create its own work process bottleneck. 

Empower collaboration between cloud security and change the executives by setting up processes that will not impede the development cycle. Automate change demand tickets and coordinate a spry change to the board framework that urges all groups to work flawlessly.

  • Constant Advancement

An effective CloudOps procedure is definitely not a one-size-fits-all methodology and can not be achieved in a solitary step. A definitive objective is to incorporate a few groups with various concentrations and ranges of abilities into one completely coordinated activity. 

Accomplishing that requires an evaluation of existing qualities and shortcomings among colleagues and specialized strategies, as well as choices about administration, tools, cycles, and financial planning of the board. 

Make an arrangement for the underlying temporary time frame as well as for distinguishing future streamlining opportunities.


Even if you have a clear understanding of the working of CloudOps and DevOps, it is advisable to reach out to the DevOps Implementation team to get accurate results.

Article written by Henny Jones

About the Author : Henny Jones is a Content Marketing Manager at HData Systems awarded As Top Big Data Analytics and BI Consultant Company.

Azure HA Kubernetes Monitoring using Prometheus and Thanos


Long since Prometheus took on the role of monitoring the systems, it has been the undisputed open-source leader for monitoring and alerting in Kubernetes systems, it has become a go-to solution. While Prometheus does some general instructions for achieving high availability but it has limitations when it comes to data retention, historical data retrieval, and multi-tenancy. This is where Thanos comes into play. In this blog post, we will discuss how to integrate Thanos with Prometheus in Kubernetes environments and why one should choose a particular approach. So let’s get started.

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MongoDB Setup on Kubernetes using MongoDB Operator

MongoDB is a popular NoSQL database that supports large as well as small size of datasets. Just like any other database standalone setup, MongoDB is straightforward but we have to make a replicated or shared cluster of MongoDB, and there we have certain complications. Especially if we are doing these kinds of setups in orchestration tools like Kubernetes.

There is a lot of complexity in setting up MongoDB on Kubernetes that people(including me) have faced for a long time which I would like to highlight:-

  • Standalone setup is pretty straightforward but for replicated and sharded clusters additional mongo configurations are required.
  • In the replicated scenario, separate configurations need to be managed for the leader and follower.
  • Monitoring and access management of MongoDB inside Kubernetes is a little tricky part to handle.
Continue reading “MongoDB Setup on Kubernetes using MongoDB Operator”

Learn the Importance of Namespace, Quota & Limits

Let’s start with a scenario, whenever any application builds, we generally do have 3 environments on the basis of resources – dev for developers resources, test for testers resources, and prod for production resources. Likewise, we used to have a separate IT-Operational Team having strategies to maintain their environment resources. It was very time-consuming and many human resources were required.

We are in the microservices era where we follow the DevOps Methodology. The DevOps Team brings all the environment and strategies to maintain resources in one go. Resources are the ones who decide the behavior of your applications. We can apply the criteria to resources, so how can our application behave? To do this we can give the name to our resources, we can give the resources quota to the application, and can give resource ranges to the application.

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A Savior – Imperative in K8s

There are two basic ways to deploy to Kubernetes: Imperative acts as a command which is active and immediate, whereas declarative is passive, by writing manifest file and using kubectl apply.

Why Imperative?

The imperative command is the first mode of managing objects, to use CLI for CUD (Create, Update, Delete) objects on Kubernetes cluster without specifying on manifest file ahead of time. They are a blessing for Kubernetes application developers and administrators because they are very easy to remember and handy. According to K8s, it’s like a ‘Swiss Army Knife” of container orchestration and management.

Imperative commands can help in getting tasks done quickly, as well as generating definition file templates easily. It saves a considerable amount of time and prevents human errors.

Continue reading “A Savior – Imperative in K8s”