Categories: Telecom

Common Mistakes Organizations Make with Cloud Network Deployment

Common Mistakes Organizations Make with Cloud Network Deployment

The hybrid cloud market is expected to grow to USD 97.6 Billion by the end of 2023 which was USD 44.6 billion back in 2018. To know how this major shift has happened and why one needs to pay attention to the fact that there is a constantly rising need for new software tools that can allow shifting from on-premise to subscription-based SaaS (Software-as-a-Service) models. Moreover, we can’t ignore the fact that situations like COVID can come anytime and in any form disrupting the industry.

New age organisations are moving from their legacy infrastructure operating models to newer ones that promote the growth of IaaS (Infrastructure-as-a-Service) models. Also, with the increasing demand for remote work models, it has become necessary for companies to provide access to enterprise applications from multiple locations and devices.

Now with physical network infrastructure moving to the cloud organizations expect the networks to be more reliable, faster, cost-effective and limitless. This misbelief sometimes leads to cloud deployment mistakes. In this blog, we are going to read about them in detail. The fact is that cloud technology is complex and when in the world of networking it’s a combination of concepts like cloud interconnects, VPCs, multiple availability regions and zones. There are multi-cloud architectures that come with a rapid pace of deployment and hence there’s a high probability of making costly mistakes

Redundant Services and Unclear Dependencies

There are chances that you’d make this mistake while cloud network deployment because siloed teams shifts to the cloud without putting much thought into the shared architecture. For example: suppose there are multiple teams working in an organization and each of them is building separate applications in the cloud. All the teams will be utilizing the cloud resources for computation, storage, network elements and much more. Now many of these can be reused or shared.

Here we can see the duplication of cloud resources and also the replication of custom-developed microservices that carry out exactly the same functionalities. When the teams work parallelly, it’s not hard to guess that there’ll be various resources that are redundant. This might lead to making the cloud environment tangled like a spider web and there’ll be chances of unwanted outcomes like wasted development efforts, weak architecture, overspending on the cloud and more.

One illustrative scenario can be when Team X sets up a DNS service for their applications and Team X also does the same thing being unaware of Team X’s DNS. The company is now paying double for the same type of resources. There can be a scenario when some other team (Team Z) utilizes DNS for their app created by Team X without their knowledge. Now Team A comes to know about the DNS created by Team Y and they shut theirs’ down. In the end, Team z will be facing an outage because the service on which they were depending has been shut down without notice.

Extraneous Inter-region Traffic

Most of the cloud elements are charged on the basis of the pay-as-you-go model. But sometimes the pricing details of a few elements might get lost. Were you aware of the fact that the per GB cost of inter-region data transfer is costlier than intra-region data transfer? If we talk about Google Cloud, then as per the information available online cloud network pricing is as such:

  • Data transfer between zones belonging to the same region cost somewhat around $0.01 per GB.
  • Data transfer between regions costs between $0.11 to $0.22 per GB. (this is at least 10 times more than intra-region)

This mistake could even lead to more expensive cloud bills. When businesses aren’t aware of the related data transfer costs, they tend to design applications in a way that produces unnecessary traffic between regions.

To avoid this, organizations can follow the below-given steps:

  • Recognize: It’s important to identify the major contributors to inter-region internet egress traffic. This will tell what all applications are responsible for causing the huge bill and which teams are responsible.
  • Relocate: After identification of the resources you can move them accordingly within the infrastructure.
  • Combine: When you are done with the examination of all the workloads, you can understand how network traffic is being generated. Hence combine different resources to save on cost.

Requesting Hairpinning

Ever heard about hairpinning ?

Hairpinning occurs when the services should be communicating over short, rapid and less expensive network paths, but somehow end up communicating over long and costlier paths. This even causes lots of latency. Let’s take an example; suppose there are two different services located in separate zones within a data centre. Now due to IP misconfiguration or poor architecture, the data is travelling between cloud interconnects and VPC instead of a local data centre network fabric. This is leading to higher latency and even the per-GB data transfer charges are much higher.

Clear visibility of the network is needed for avoiding such mistakes.

Utilizing Default Internet Traffic Delivery

You might be using your cloud provider’s default internet egress, as it seems to be a suitable option. But this can be expensive and could end up costing you more than 10 times in comparison to the conventional IP transit on a per GB basis. When businesses don’t consider the traffic delivery options, cloud deployments can result in a huge amount of billing.

Some traffic delivery options involve Content Delivery Networks, Private egress or In-app packaging for mobile.

Cloud computing offers an endless number of benefits that can only be availed when minimal mistakes are made while deployment. That’s why it’s essential to have a team by your side that understands your need and offers you the cloud solutions that are tailor-made for your business processes.     

Common Mistakes Organizations Make with Cloud Network Deployment

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Pallavi Yadav

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