What is Cloud Orchestration? - A Beginner's Guide

Introduction to Cloud Orchestration

Cloud Orchestration is one of the trending concepts in cloud computing. It has multiple definitions we can say that Cloud orchestration is the process to manage the various workloads in an automated way across several cloud solutions, intending to combine this into a single workflow.

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We can compare Cloud Orchestration with the challenge of an orchestra is to get the all instruments to perform the same piece together, this makes cloud orchestration like the musical conductor that controls the performance and keeps it an order. This is a challenging task as cloud orchestration involves different heterogeneous systems, across both public and private cloud solutions, which as they are often at different places geographically and it requires managing the network that connects them as well.

Difference between Cloud Orchestration and Cloud Automation

In most of the cases, the cloud orchestration interchanged with cloud automation. Therefore, to get a clear and transparent understanding of what cloud orchestration is, we need to highlight how it’s different from cloud automation:

A single task is involved in cloud automation whereas in cloud orchestration It is concerned with combining multiple such tasks into workflows.

In cloud automation, the automated tasks must be performed in a definite sequence, under strict security guidelines, be granted permissions, etc. Orchestration ensures the performance of each automated tasks in a particular order concerning one another, within a workflow.

The concept of resource utilization in cloud automation is Automated tasks exist as standalone entities, thus result in resources independently. This leads to resource wastefulness in cloud automation. But in Cloud orchestration lists the resources, IAM roles, and instance types to help save time, and it delivers accurate results; thus, the automation is helpful.

Cloud automation involves a massive amount of manual coding by a developer, which results in significant and complex commands. The problem with such situations is that the fear of error occurrence is significant. Whereas Cloud Orchestration helps to avoid error-proneness by using optimizing the amount of coding required. This it does by using the automated tasks as building blocks that can be reused, instead of redundant coding.

Some examples of cloud automation are Launching a web server, configuring a web server and some cases of cloud orchestration are Combining automated tasks like launching web server and configuring a web service into a single workflow to meet client requests

The main focus of Cloud Orchestration is in process optimization. One of the simplest ways to do so is to remove the repetitive steps to eliminate redundancy. It identifies the automated tasks that make up a process and ensures their reusability across operations. Orchestration, therefore, takes advantage of the building blocks (read as automated tasks) by reusing them.

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Multi-cloud Spending: 8 Tips To Lower Cost

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.

• Deactivate underused or unattached resources

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.

• Figure out idle instances

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.

• Deploy monitoring mechanisms

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.

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What are the benefits of cloud migration? Reasons you should migrate

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.

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Google Cloud: Caching Cloud Storage content with Cloud CDN

In this Lab, we will configure Cloud Content Delivery Network (Cloud CDN) for a Cloud Storage bucket and verify caching of an image. Cloud CDN uses Google’s globally distributed edge points of presence to cache HTTP(S) load-balanced content close to our users. Caching content at the edges of Google’s network provides faster delivery of content to our users while reducing serving costs.

For an up-to-date list of Google’s Cloud CDN cache sites, see https://cloud.google.com/cdn/docs/locations.

Task 1. Create and populate a Cloud Storage bucket

Cloud CDN content can originate from different types of backends:

• Compute Engine virtual machine (VM) instance groups
• Zonal network endpoint groups (NEGs)
• Internet network endpoint groups (NEGs), for endpoints that are outside of Google Cloud (also known as custom origins)
• Google Cloud Storage buckets

In this lab, we will configure a Cloud Storage bucket as the backend.

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Cloud Operations Overview for Google Cloud Professional Architect

Operations Suite (Stackdriver) is a hybrid monitoring, logging, and diagnostics tool suite for applications on the Google Cloud Platform and AWS.

GCP Purchased Stackdriver and was rebranded to Google Stackdriver after the purchase.

Google has now rebranded the Stackdriver Suite as “Cloud Operations” This is important to know in case the exam has not been updated to reflect the change.

Cloud Operations monitors the clouds service layers in a single SaaS solution. Cloud Operations maintains native integration with Google Cloud data tools BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Datalab, and out-of-the-box integration with all your other application components.

In a nutshell Cloud Operations Suite allows you to Monitor, troubleshoot, and improve application performance on your Google Cloud environment.

#google-cloud-platform #google-cloud #cloud-computing #cloud-architecture #cloud

Top 7 Google Cloud Security Capabilities to Implement in your GCP Cloud

Introduction

Ever since the advent of Google Cloud, there has been an increased amount of services to facilitate customers and business requirements no matter what the enterprise domain is.

Google has put its efforts in coming up with solutions and products that not only fit the current user needs but also cater for future business needs.

That’s precisely why companies opt for Google Cloud Products as their prime cloud services for their business operations.

Nevertheless, another thing that is of much interest is the amount of “Security” baked into these Google products. There are certainly some significant considerations when deploying anything in the cloud.

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