This blog is part one of my three blogs on how to build a hybrid multi cloud event mesh with Camel. In this part I am going over what inspired me to do the demo, and architecturally how everything is put together. I will be using Red Hat OpenShift (Kubernetes) as the platform for my mesh. And using Kafka as the backbone to stream/persist events and last but not least using Apache Camel (in Red Hat Integration) to weave the mesh across Service Now, Amazon AWS, Microsoft Azure and Google Cloud Platform.
The whole reason why I’m doing this is because I’m seeing trends from our customers. More than 50% of the CTO and architect we interview are moving at least part of the workload to either a single cloud or multiple clouds. And not surprisingly most would also have in-house data centers and purchase SaaS services. And it got me thinking, what are the possible ways to bridge and connect everything? What are the challenges we will face when trying to connect the dots?
Taking a look specifically from the integration side. As more applications, services and functionality are deployed across geo, data centers and clouds, you will start to see problems arise:
Service Silo: Possibly causes could be geo regulation, how the company structure the teams, deployment policies or vendor specific features. Services were NOT effectively reused, simply because it’s hard to get to. Or not even know among different teams.
Data Integrity: Keeping the data in sync across the multi-cloud can be challenging. Event driven architecture can help by streamlining real-time events simultaneously across multiple clouds, events can be changed from state, request or command. To achieve eventual consistency, and the faster the broader the events gets to, the more real time it can achieve.
Integration Mess. Having many point to point could lead to disarray of connections. And it will definitely affect how fast to deliver change for your application. As there are no organized and holistic view of where the events are going and the subscriber of the events.
#integration #serverless #kafka #hybrid cloud
A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.
Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.
By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.
However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.
Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.
Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.
Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.
Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.
The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.
For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.
#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market
The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.
In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.
#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration
For most businesses, an ideal cloud solution is not deploying a single cloud, whether public or private. Instead, the right choice is to set up two or more cloud solutions.
When deploying multiple clouds, a business has two options. Either set up a hybrid cloud or go with a multi-cloud strategy. While similar, these deployment types have differences a decision-maker must know when planning a move to the cloud.
This article outlines the main differences between multi and hybrid clouds. Read on to learn about both cloud computing strategies and see what factors you should consider when choosing between these deployment models.
Multi and hybrid clouds are similar, but these cloud deployment models have unique definitions and solve different business needs.
In a multi-cloud strategy, a company uses multiple cloud services of the same type from different providers. Partnering with several vendors enables a company to:
Most multi-cloud setups include a mix of public cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Bare Metal Cloud (BMC), Microsoft (Azure), and IBM. Every cloud in a multi-cloud setup handles specific workloads, so there are typically no workload integrations between infrastructures.
Our article about multi-clouds offers an in-depth analysis of the model’s benefits, challenges, and most suitable use cases.
In a hybrid cloud environment, a company combines a public cloud with a private cloud or an on-premise data center. The most popular hybrid strategy is running app code on an in-house setup (either a data center or a private cloud) and cloud bursting into the public infrastructure in times of high traffic.
Hybrid deployments are common, and the two most typical scenarios are:
Unlike a multi-cloud strategy, a hybrid setup relies on deep orchestration between different cloud platforms. The goal is to create a unified environment in which separate systems communicate and handle the same IT workloads.
#cloud computing #cloud #multi cloud #hybrid cloud
Multi-cloud is when the application is hosted with multiple cloud platforms, and each delivers a specific service. It can comprise public, private, and hybrid clouds to achieve the Enterprise’s end goals. Often, multi-cloud is confused with the hybrid Cloud, but it is different from a hybrid cloud because a hybrid cloud is an infrastructure while multi-cloud is a strategy.
Multi-Cloud uses several different architectures like Infrastructure-as-a-Service (IaaS) and Software-as-a-Service (SaaS) to achieve business goals. It’s about various providers to specify workloads requirements but not necessarily connected.
#hybrid cloud #multi-cloud #cloud
As the whole world is slowly awakening from several months of complete lockdown as a result of the COVID-19 outbreak, Cloud computing has started gaining even more steam it had before the pandemic. No wonder why the role of Cloud is becoming more crucial for business success nearly in every single niche and vertical. Today, companies are ready (or are forced in some cases) to go the extra mile to accelerate their pace of innovation and digital transformation. They’re craving to make a change they’ve always been apprehensive about in the pre-pandemic world. It’s becoming more apparent to businesses that digital transformation gives an excellent opportunity to not only survive in turbulent times but gain value-added benefits, too.
Let’s take a look at how Cloud optimisation can speed up and facilitate digital transformation and save costs.
Today, all businesses can be divided into three main categories based on how they’ve been affected by the pandemic:
What do all these companies have in common? Lack of clarity and understanding of what the future holds for them. No one knows now how the situation will unfold in the months to come. As a result of this frustration:
#cloud-optimization #cloud #multi-cloud #hybrid-cloud #cloud-computing