Getting Started

Cloud Infrastructure

Cloud infrastructure also includes an abstraction layer that virtualizes resources and logically presents them to users through application program interfaces and API-enabled command-line or graphical interfaces.

In cloud computing, these virtualized resources are hosted by a service provider or IT department and are delivered to users over a network or the internet. These resources include virtual machines and components, such as servers, memory, network switches, firewalls, load balancers and storage.

Cloud infrastructure components

In a cloud computing architecture, cloud infrastructure refers to the back-end components -- the hardware elements found within most enterprise data centers. These include multi-socket, multicore servers, persistent storage and local area network equipment, such as switches and routers -- but on a much greater scale.

Major public cloud providers, such as Amazon Web Services (AWS) or Google Cloud Platform, offer services based on shared, multi-tenant servers. This model requires massive compute capacity to handle both unpredictable changes in user demand and to optimally balance demand across fewer servers. As a result, cloud infrastructure typically consists of high-density systems with shared power.

Additionally, unlike most traditional data center infrastructures, cloud infrastructure typically uses locally attached storage, both solid-state drives (SSDs) and hard disk drive (HDDs), instead of shared disk arrays on a storage area network. The disks in each system are aggregated using a distributed file system designed for a particular storage scenario, such as object, big data or block. Decoupling the storage control and management from the physical implementation via a distributed file system simplifies scaling. It also helps cloud providers match capacity to users' workloads by incrementally adding compute nodes with the requisite number and type of local disks, rather than in large amounts via a large storage chassis.

Public vs. private vs. hybrid cloud architectures

Cloud infrastructure is present in each of the three main cloud computing deployment models: Private Cloud, Public Cloud and Hybrid Cloud.

In a private cloud, an organization typically owns the cloud infrastructure components and houses them within its own data center.

In a public cloud model, the cloud infrastructure components are owned by a third-party public cloud provider.

A hybrid cloud consists of a mix of both models.

Need for Cloud Monitoring

Cloud monitoring is the process of evaluating, monitoring, and managing cloud-based services, applications, and infrastructure. Here’s a look at how it works and best practices for success.

Cloud monitoring works through a set of tools that supervise the servers, resources, and applications running the applications. These tools generally come from two sources:

In-house tools from the cloud provider — This is a simple option because the tools are part of the service. There is no installation, and integration is seamless.

Tools from independent SaaS provider — Although the SaaS provider may be different from the cloud service provider, that doesn’t mean the two services don’t work seamlessly. These providers also have expertise in managing performance and costs.

About Treepye

Treepye is a web based Cloud monitoring tool looking for problems that can prevent or restrict businesses from delivering service to their customers. In the first version, Treepye is monitoring the AWS cloud. Generally, this tool offer data on performance & cost analysis:

By testing at regular intervals, organizations can detect errors quickly and rectify them in order to mitigate any damage to performance and functionality of the resource, which improves the customer experience.

Cost analysis is a necessary part of keeping an eye on day to day costs consumed by the cloud accounts which results in the impact on infrastructure monthly budgets.

Cybersecurity is a necessary part of keeping networks safe from cyber attacks. IT teams can use it to detect breaches and vulnerabilities early and secure the network before the damage gets out of hand.

Speed — like functionality and user experience — is a primary driver of customer satisfaction. Speed metrics can be monitored and generate data that helps organizations optimize websites and applications.

If an organization monitors early and often, they can use the data to troubleshoot problems and implement repairs in a timely - if not instantaneous - manner.

Benefits of Treepye

Below are some of the benefits of using Treepye as a cloud monitoring tool:

  • This provides a real time dashboards which can be customized.
  • Establish proactive alerting to discover problems.
  • It brings a combined architecture for both traditional and cloud environments
  • Assembles data in the form of logs, metrics, and events.
  • It can support you to know exactly how your cloud applications and cloud servers are running in real-time.
  • Monitoring applications in one place can help in viewing error rates, page load, slow transactions, and list the of running servers.
  • Set own alerts and warnings when an error arises.
  • Monitors performance & accessibility.
  • It is beneficial for IT organizations in cloud solutions and composition.
  • Benefits in speedily handling multiple aws accounts.
  • We already have our infrastructure and configurations in place. So installation is quick and easy.
  • tools are maintained by the host including the hardware.
  • The solution is built for the organizations of various sizes. So if cloud activity increases, the right monitoring tool can scale seamlessly.
  • Subscription-based solutions can keep costs low. They do not require startup or infrastructure expenditures, and maintenance costs are spread among multiple users.
  • Treepye can be used on multiple types of devices — desktop computers, tablets, and phones. This allows organizations to monitor apps and services from any location with Internet access.