HashiCorp Introduces HashiCorp Cloud Platform

HashiCorp, the company behind the software tool Terraform, introduces a platform to run their products on AWS, Azure, and GCP as managed services. This will extend their enterprise offer with a focus on multi-cloud environments.

At the HashiConf Digital conference at the end of June, HashiCorp launched a private beta of HashiCorp Cloud Platform (HCP), a managed tool of their open-source products. Customers will rely on a single set of APIs to deploy TerraformVaultNomad and Consul on multi-cloud environments.

Terraform is today a popular tool for provisioning and configuring resources across multiple cloud providers and HCL, the HashiCorp configuration language, is one of the fastest growing languages on GitHub. Robert Genova, director for product marketing at HashiCorp, explains how HCP is different from running Terraform:

HashiCorp products deployed through HCP are pre-configured for best practices and fully managed by HashiCorp after they are deployed. With Terraform, a user will still need to prepare configuration files, build machine images, and handle upgrades, backups, and scaling.

The infrastructure automation startup is now moving into a managed operating model with a pay-as-you-go pricing approach. The new platform powers both HCP Consul and HashiCorp Consul Service (HCS) on Azure, a service that is generally available since the end of July. The founder of HashiCorp, Mitchell Hashimoto, tweeted:

This is extra exciting because it’s our first GA managed service and it’s built on top of the core of our Cloud Platform that will power more products on other providers.

But HCS is today a separate managed service, available in the Azure marketplace, and it is not an abstract layer on top of the Microsoft platform available through a HashiCorp console as HCP. And it will still take time to have access to Terraform, Vault and Nomad as managed services on the new HCP console. Today HCP supports only a private beta of HCP Consul for AWS, a single service on a single cloud provider. The company plans to make it publicly available by the end of the year, followed by HCP Vault with the support for Azure and Google Cloud following later on.

#hashicorp #azure #cloud #terraform #devops #architecture & design #development #news

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HashiCorp Introduces HashiCorp Cloud Platform
Adaline  Kulas

Adaline Kulas

1594162500

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.

#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

Adaline  Kulas

Adaline Kulas

1594166040

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.

#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

The Layers of a Cloud Data Platform

In this article, we’ll layer some of the critical and more advanced functionality needed for most data platforms today. Without this added layer of sophistication, your data platform would work but it wouldn’t scale easily, nor would it meet the growing data velocity challenges. It would also be limited in terms of the types of data consumers (people and systems who consume the data from the platform) it supports, as they’re also growing in both numbers and variety.

Let’s take a deeper dive into a more complex cloud data platforms architecture:

  • Exploring which functional layers exist in modern platform architectures and the roles they play;
  • Introducing the concepts of fast/slow storage, streaming vs batch, metadata management, ETL overlays, and data consumers;

#data-platforms #cloud-platform #big-data #cloud-data-platform #cloud

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.

#google-cloud #google-cloud-platform #cloud #cloud storage #cloud cdn

Zelma  Gerlach

Zelma Gerlach

1619050860

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