Search

Monitoring AWS Machine using Azure Log Analytics - Cloud Computing

What is Azure Log Analytics?Logs make your life easier and help everyone in the organization understand what you do and what's Actually going on with the software. Ensure that you follow best practices of Azure Log Analytics for monitoring AWS machines effectively.Logs are created by network devices, applications, operating systems, and programmable or smart devices. They comprise several messages that are chronologically arranged and stored on a disk, in files, or in an application like a log collector.Firstly, we will try to understand why we need logs to monitor AWS services.We need logs because, with Azure Log Analytics, you can gather and search log data from all your resources, whether they reside on Azure, on another cloud host, or on-premises. Then you can transform the gathered data into rich analytics with AI-enhanced insights into your environment.  How Log Analytics worksThe log data from Virtual machines and other cloud resources, capture via some Agent which we need to install on VMs and Resource can be named as Connected Sources which further will be gathered in records and sent to OMS repository that is the part of Azure Cloud resource and stored in the Azure cloud.After receiving logs to log analytics it further is available for log search and other activity like Set Alerts, Dashboard View, Power BI View, and Export into Excel and Data files. Data collection in Azure Log AnalyticsData can be collected in azure Log Analytics in different ways –Agents on Windows and Linux virtual machines send telemetry from the guest operating system and applications to Log Analytics according to Data Sources that you configure.Connect a System Center Operations Manager management group to Log Analytics to collect data from its agents.Azure services such as Application Insights and Azure Security Center store their data directly in Log Analytics without any configuration.Write data from PowerShell command line or Azure Automation runbook using Log Analytics cmdlets.If you have custom requirements, then you can use the HTTP Data Collector API to write data to Log Analytics from any REST API client.Azure Monitor                   Data sources for events and performanceVirtual Machines               Data sources for events and performanceOperations Manager         Data from management group agentsApplication Insights           Application requests and exceptionsAzure Security Center       Security eventsPowerShell                        PowerShell command line or runbookData Collector API            Rest API for custom dataIncoming data automatically indexed. Data types and tables automatically created.Log AnalyticsData available through log search and smart analytics to multiple channels.Design and test queries and analyze data         AnalyticsVisualize data in Azure portal                            DashboardsWorkflows consuming Log Analytics data         Logic AppsAutomatically respond critical conditions           AlertsExport for visualization with other sources        Power BIPowerShell command line or runbook               PowerShellRest API for custom application                         Log Search APIWork flow of Log AnalyticsNow let's find out the workflow of log analytics like how it collects data, analyze, visualize and alerts.So first look into Collect part–The logs can be collected via: -Event LogsCustom App LogsIIS LogsCrash DumpsPerformance DataWe can also filter the type of logs by just checking and unchecking the log types.Once the collection has done we need to Analyse the data which can be done by: -Filter based on attributesAnalyze data with Kusto Query languageSort dataExport log data to Excel and Power BIConditional FilteringAfter that, we can Visualize all the logs in an attractive DashboardAlerts can be configured on the basis of event conditions like once the value will be reached greater than or less than the limit threshold it will automatically generate the alerts and take configured actions like sending main, sending a message and start runbook (part of azure automation).Steps to collect Data and log from AWS MachinesAWS VMs could be of Windows and Linux, so we can install the agent which can be download from azure log analytics page by just selecting the type of the OS and the Bit of the VMs.After installing the Agent we need to configure the agent by entering the workspace id and key which will be provided by the azure after configuring. We can get the all the logs within some Hours in the portal.Supported AWS OS and VersionsLet’s discuss the OS and versions of VMs that are supported on AWS Cloud.If you are using Windows, the configuration should be:Windows Server 2008 Service Pack 1 (SP1) or laterWindows 7 SP1 and laterIf you are using Linux, the configuration should be:Amazon Linux 2012.09 to 2015.09 (x86/x64)CentOS Linux 5, 6, and 7 (x86/x64)Oracle Linux 5, 6, and 7 (x86/x64)Red Hat Enterprise Linux Server 5, 6 and 7 (x86/x64)Debian GNU/Linux 6, 7, and 8 (x86/x64)Ubuntu 12.04 LTS, 14.04 LTS, 16.04 LTS (x86/x64)SUSE Linux Enterprise Server 11 and 12 (x86/x64)After verifying the supported configuration, we can successfully install the agent and receive the logs.Kusto to query AWS Machine LogsKusto is a log analytics cloud platform optimized for ad-hoc big data queries.Kusto Query Reference Portal: https://docs.loganalytics.ioThe Kusto Query Language is used to query Azure services.OMS (Operational Management Suite)The Microsoft Operations Management Suite (OMS), previously known as Azure Operational Insights, is a software as a service platform that allows an administrator to manage on-premises and cloud IT assets from one console.Azure OMS provides 4 types of services: -Log Analytics: Monitor and analyze the availability and performance of different resources including physical and virtual machines.Automation: Automate manual processes and enforce configurations for physical and virtual machines.Backup: Backup and restore critical data.Site Recovery: Provide high availability for critical applications.Management SolutionsManagement solutions leverage services in Azure provides additional insight into the operation of a particular application or service.Here, we can manually select the required solution and add to the home page where we can only see the logs of that solution type.ReportsThe final reports of logs can be exported in Excel and Power BI that can be displayed in table and chart format.Conclusion:Azure Log Analytics is a very powerful tool to capture different types of system log. Kusto Query plays a very important role in extracting insights from the log file. Also, custom reports can be prepared using KUSTO Query,which helps the organization in saving many man-hours.Detailed reports and easy to export to excel and power helps to keep the troubleshooting and diagnosis handy.Reports can be embedded in any website with live refresh data and code snipped can be generated within power BI.Choose the right Azure logging service for AWS monitoring and use it to save many man-hours and reduce the time of troubleshooting and diagnosis.Towards the end, I hope that you have gained a clear understanding of What is Azure Log Analytics and how Monitoring AWS Machine using Azure Log Analytics take place.If this article has helped you clear your fundamentals and if you wish to learn more about it by getting certified, then you can undertake the Microsoft Azure Fundamental certification course offered by KnowledgeHut.

Monitoring AWS Machine using Azure Log Analytics - Cloud Computing

22K
  • by Raju Kumar
  • 17th Sep, 2018
  • Last updated on 11th Mar, 2021
  • 4 mins read
Monitoring AWS Machine using Azure Log Analytics - Cloud Computing

What is Azure Log Analytics?

Logs make your life easier and help everyone in the organization understand what you do and what's Actually going on with the software. Ensure that you follow best practices of Azure Log Analytics for monitoring AWS machines effectively.

Logs are created by network devices, applications, operating systems, and programmable or smart devices. They comprise several messages that are chronologically arranged and stored on a disk, in files, or in an application like a log collector.

Firstly, we will try to understand why we need logs to monitor AWS services.

We need logs because, with Azure Log Analytics, you can gather and search log data from all your resources, whether they reside on Azure, on another cloud host, or on-premises. Then you can transform the gathered data into rich analytics with AI-enhanced insights into your environment.  

How Log Analytics works
The log data from Virtual machines and
other cloud resources, capture via some Agent which we need to install on VMs and Resource can be named as Connected Sources which further will be gathered in records and sent to OMS repository that is the part of Azure Cloud resource and stored in the Azure cloud.

After receiving logs to log analytics it further is available for log search and other activity like Set Alerts, Dashboard View, Power BI View, and Export into Excel and Data files.
 
Data collection in Azure Log Analytics

Data can be collected in azure Log Analytics in different ways –

  • Agents on Windows and Linux virtual machines send telemetry from the guest operating system and applications to Log Analytics according to Data Sources that you configure.
  • Connect a System Center Operations Manager management group to Log Analytics to collect data from its agents.
  • Azure services such as Application Insights and Azure Security Center store their data directly in Log Analytics without any configuration.
  • Write data from PowerShell command line or Azure Automation runbook using Log Analytics cmdlets.
  • If you have custom requirements, then you can use the HTTP Data Collector API to write data to Log Analytics from any REST API client.

  • Azure Monitor                   Data sources for events and performance
  • Virtual Machines               Data sources for events and performance
  • Operations Manager         Data from management group agents
  • Application Insights           Application requests and exceptions
  • Azure Security Center       Security events
  • PowerShell                        PowerShell command line or runbook
  • Data Collector API            Rest API for custom data

Incoming data automatically indexed. Data types and tables automatically created.

Log Analytics

Data available through log search and smart analytics to multiple channels.

  • Design and test queries and analyze data         Analytics
  • Visualize data in Azure portal                            Dashboards
  • Workflows consuming Log Analytics data         Logic Apps
  • Automatically respond critical conditions           Alerts
  • Export for visualization with other sources        Power BI
  • PowerShell command line or runbook               PowerShell
  • Rest API for custom application                         Log Search API

Work flow of Log Analytics
Now let's find out the workflow of log analytics like how it collects data, analyze, visualize and alerts.

So first look into Collect part–

The logs can be collected via: -

  • Event Logs
  • Custom App Logs
  • IIS Logs
  • Crash Dumps
  • Performance Data

We can also filter the type of logs by just checking and unchecking the log types.
Once the collection has done we need to Analyse the data which can be done by: -

  • Filter based on attributes
  • Analyze data with Kusto Query language
  • Sort data
  • Export log data to Excel and Power BI
  • Conditional Filtering

After that, we can Visualize all the logs in an attractive Dashboard
Alerts can be configured on the basis of event conditions like once the value will be reached greater than or less than the limit threshold it will automatically generate the alerts and take configured actions like sending main, sending a message and start runbook (part of azure automation).

Steps to collect Data and log from AWS Machines

AWS VMs could be of Windows and Linux, so we can install the agent which can be download from azure log analytics page by just selecting the type of the OS and the Bit of the VMs.

After installing the Agent we need to configure the agent by entering the workspace id and key which will be provided by the azure after configuring. We can get the all the logs within some Hours in the portal.
Supported AWS OS and Versions

Let’s discuss the OS and versions of VMs that are supported on AWS Cloud.

If you are using Windows, the configuration should be:

  • Windows Server 2008 Service Pack 1 (SP1) or later
  • Windows 7 SP1 and later

If you are using Linux, the configuration should be:

  • Amazon Linux 2012.09 to 2015.09 (x86/x64)
  • CentOS Linux 5, 6, and 7 (x86/x64)
  • Oracle Linux 5, 6, and 7 (x86/x64)
  • Red Hat Enterprise Linux Server 5, 6 and 7 (x86/x64)
  • Debian GNU/Linux 6, 7, and 8 (x86/x64)
  • Ubuntu 12.04 LTS, 14.04 LTS, 16.04 LTS (x86/x64)
  • SUSE Linux Enterprise Server 11 and 12 (x86/x64)

After verifying the supported configuration, we can successfully install the agent and receive the logs.

Kusto to query AWS Machine Logs

Kusto is a log analytics cloud platform optimized for ad-hoc big data queries.

Kusto Query Reference Portal: https://docs.loganalytics.io

The Kusto Query Language is used to query Azure services.
OMS (Operational Management Suite)

The Microsoft Operations Management Suite (OMS), previously known as Azure Operational Insights, is a software as a service platform that allows an administrator to manage on-premises and cloud IT assets from one console.

Azure OMS provides 4 types of services: -

  • Log Analytics: Monitor and analyze the availability and performance of different resources including physical and virtual machines.
  • Automation: Automate manual processes and enforce configurations for physical and virtual machines.
  • Backup: Backup and restore critical data.
  • Site Recovery: Provide high availability for critical applications.

Management Solutions

Management solutions leverage services in Azure provides additional insight into the operation of a particular application or service.
Here, we can manually select the required solution and add to the home page where we can only see the logs of that solution type.

Reports

The final reports of logs can be exported in Excel and Power BI that can be displayed in table and chart format.
Conclusion:

Azure Log Analytics is a very powerful tool to capture different types of system log. Kusto Query plays a very important role in extracting insights from the log file. Also, custom reports can be prepared using KUSTO Query,
which helps the organization in saving many man-hours.

Detailed reports and easy to export to excel and power helps to keep the troubleshooting and diagnosis handy.

Reports can be embedded in any website with live refresh data and code snipped can be generated within power BI.

Choose the right Azure logging service for AWS monitoring and use it to save many man-hours and reduce the time of troubleshooting and diagnosis.

Towards the end, I hope that you have gained a clear understanding of What is Azure Log Analytics and how Monitoring AWS Machine using Azure Log Analytics take place.

If this article has helped you clear your fundamentals and if you wish to learn more about it by getting certified, then you can undertake the Microsoft Azure Fundamental certification course offered by KnowledgeHut.

Raju

Raju Kumar

Blog Author

Certified Azure Solution Architect and MCT, also specialized in AWS & Google Cloud Platform.

Having 6+ Years of Enterprise Product Development, worked in 4 MNC's across global teams.
I am a regular contributor at various technical conferences, Meetups & Community events to help the community to spread cloud awareness.
Things I do: Training, Consulting and Product Development. Let's Connect for a discussion !!

Join the Discussion

Your email address will not be published. Required fields are marked *

Suggested Blogs

How Start Ups Can Benefit From Cloud Computing?

From nebulous beginnings, the cloud has grown to a platform that has gained universal acceptance and is transforming businesses across industries. Companies that have adopted cloud technology have seen significant payoffs, with cloud based tools redefining their data storage, data sharing, marketing and project management capabilities. The easy availability of affordable cloud infrastructure has made it so easy to set up new businesses that the economy is all set for a start up boom which has its head, so to speak, in the cloud! With the advent of this new technology, complete newbie’s in the market are able to hold their own against established market players—by achieving an amazing quantum of work using skeleton manpower resources. Recently, a popular ad doing the rounds on TV showed a long haired youth conducting business from a cafe on his HP Pavilion laptop, where he is ridiculed by some well heeled middle aged businessmen on their coffee break. Back at their office, they find that this youngster is the new investor that their boss has been heaping accolades on. “Where’s your office?” one of them asks the young man…to be laughingly told that he carries his entire office in his laptop! And that, typically, is how the new-age start up business looks. We have heard many stories of how a clever idea has turned a tidy profit for a smart entrepreneur working out of his laptop. While cloud computing is pushing the boundaries of science and innovation into a new realm, it is also laying the foundation for a new wave of business start ups. New ventures in general suffer from a lack of infrastructure, manpower and funding…and all these three concerns are categorically addressed by the cloud. Moving to the cloud minimizes the need of huge capital investments to set up expensive infrastructure. For nascent entrepreneurs, physical hardware and server costs used to be formidable given the limited budgets at their disposal. Seed money was also required to hire office space, promote the business and hire workers. Today, thanks to cloud technology, getting a new business off the ground and running costs virtually nothing. Most of the resources and tools that new ventures need are available on the cloud at minimal costs, in fact quite often at zero costs, making this a powerful value proposition for small businesses. A cloud hosting provider such as AWS can enable you to go live immediately, and will even scale up to your requirement once your business expands. Small businesses can think and dream big with the cloud. When it comes to manpower resources, it takes just a handful of people to work wonders using the online resources that are at their disposal. If you have a brilliant idea and have a workable plan for execution, you can comfortably compete neck to neck with market leaders. The messaging sensation WhatsApp was started in 2009 by just two former Yahoo employees who leveraged the power of the internet – and this goes to show that clever use of technology can completely eliminate the need for a sizeable manpower pool. Start ups have always been more agile than their large scale counterparts, and the cloud helps them take this a step further. Resources can be scaled up or down in no time, whereas in traditional environments it would have taken many days, considerable planning and funds to add hardware and software. Cloud computing also helps improve collaboration across teams, often across geographies. Data sharing is instantaneous, and teams can work on a task together in real time regardless of their location. Powered by the cloud, small businesses operate with shoestring budgets and key players in different continents. All their accounting, client data, marketing and other business critical files can be stored online and are accessible from anywhere. These online tools can be accessed and utilised instantly, and underpin all the crucial processes on which these businesses thrive. Strategic financial decisions are made after garnering insights from cloud-based accounting software. E-invoicing helps settle bills in a fraction of the time of traditional billing systems, and client queries are answered quickly through cloud-based management systems—saving precious time and increasing customer satisfaction levels to an all-time high. Whether at home, on vacation or on the phone, businesses can oversee sales, replenish products and plan new sales strategies. That’s a whole new way of doing business, and seems to be very successful! An estimate by Cloudworks has put the anticipated cloud computing market at over $200 billion by the year 2018. As Jeff Weiner, CEO of LinkedIn, succinctly put it, the cloud “makes it easier and cheaper than ever for anyone anywhere to be an entrepreneur and to have access to all the best infrastructure of innovation.” With cloud technology rapidly levelling the playing field between nascent and established businesses, it is anybody’s guess as to just how many new start ups will burst into the scene in the next few years. Hoping that the blog has helped you gain a clear understanding of the importance of Cloud Computing.  To gain more knowledge on what cloud computing has to offer, take a look at other blogs as well as the AWS certifications that we have to offer or enrol yourself for the AWS Certification Training course by KnowledgeHut.  
How Start Ups Can Benefit From Cloud Computing?

From nebulous beginnings, the cloud has grown to a... Read More

Business Transformation through Enterprise Cloud Computing

The Cloud Best Practices Network is an industry solutions groups and best practices catalogue of how-to information for Cloud Computing. While we cover all aspects of the technology our primary goal is to explain the enabling relationship between this new IT trend and business transformation, where our materials include: Core Competencies – The mix of new skills and technologies required to successfully implement new Cloud-based IT applications. Reference Documents – The core articles that define what Cloud Computing is and what the best practices are for implementation, predominately referring to the NIST schedule of information. Case studies – Best practices derived from analysis of pioneer adopters, such as the State of Michigan and their ‘MiCloud‘ framework . Read this article ‘Make MiCloud Your Cloud‘ as an introduction to the Cloud & business transformation capability. e-Guides – These package up collections of best practice resources directed towards a particular topic or industry. For example our GovCloud.info site specializes in Cloud Computing for the public sector. White papers – Educational documents from vendors and other experts, such as the IT Value mapping paper from VMware. Core competencies The mix of new skills and technologies required to successfully implement new Cloud-based IT applications, and also the new capabilities that these platforms make possible: Virtualization Cloud Identity and Security – Cloud Privacy Cloud 2.0 Cloud Configuration Management Cloud Migration Management DevOps Cloud BCP ITaaS Procurement Cloud Identity and Security Cloud Identity and Security best practices (CloudIDSec) provides a comprehensive framework for ensuring the safe and compliant use of Cloud systems. This is achieved through combining a focus on the core references for Cloud Security, the Cloud Security Alliance, with those of Cloud Identity best practices: IDaaS – Identity Management 2.0 Federated Identity Ecosystems Cloud Privacy A common critcal focus area for Cloud computing is data privacy, particularly with regards to the international aspects of Cloud hosting. Cloud Privacy refers to the combination of technologies and legal frameworks to ensure privacy of personal information held in Cloud systems, and a ‘Cloud Privacy-by-Design’ process can then be used to identify the local legislated privacy requirements of information. Tools for designing these types of privacy controls have been developed by global privacy experts, such as Ann Cavoukian, the current Privacy Commissioner for Ontario, who provides tools to design and build these federated privacy systems. The Privacy by Design Cloud Computing Architecture (26-page PDF) document provides a base reference for how to combine traditional PIAs (Privacy Impact Assessments) with Cloud Computing. As this Privacy Framework presentation then explains these regulatory mechanisms that Kantara enables can then provide the foundations for securing the information in a manner that encompasses all the legacy, privacy and technical requirements needed to ensure it is suitable for e-Government scenarios. This then enables it to achieve compliance with the Cloud Privacy recommendations put forward by global privacy experts, such as Ann Cavoukian, the current Privacy Commissioner for Ontario, who stipulates a range of ‘Cloud Privacy By Design‘ best practices Cloud 2.0 Cloud is as much a business model as it is a technology, and this model is best described through the term ‘Cloud 2.0′. As the saying goes a picture tells a thousand words, and as described by this one Cloud 2.0 represents the intersection between social media, Cloud computing and Crowdsourcing. The Social Cloud In short it marries the emergent new online world of Twitter, Linkedin et al, and the technologies that are powering them, with the traditional, back-end world of mainframe systems, mini-computers and all other shapes and sizes of legacy data-centre. “Socializing” these applications means moving them ‘into the Cloud’, in the sense of connecting them into this social data world, as much as it does means virtualizing the application to run on new hardware. This a simple but really powerful mix, that can act as a catalyst for an exciting new level of business process capability. It can provide a platform for modernizing business processes in a significant and highly innovative manner, a breath of fresh air that many government agency programs are crying out for. Government agencies operate many older technology platforms for many of their services, making it difficult to amend them for new ways of working and in particular connecting them to the web for self-service options. Crowdsourcing Social media encourages better collaboration between users and information, and tools for open data and back-end legacy integrations can pull the transactional systems informtion needed to make this functional and valuable. Crowdsourcing is: a distributed problem-solving and production process that involves outsourcing tasks to a network of people, also known as the crowd. Although not a component of the technologies of Cloud Computing, Crowdsourcing is a fundamental concept inherent to the success of the Cloud 2.0 model. The commercial success of migration to Cloud Computing will be amplified when there is a strong focus on the new Web 2.0 type business models that the technology is ideal for enabling. Case study – Peer to Patent One such example is the Whitehouse project the Peer to the Patent portal, a headline example of Open Government, led by one its keynote experts Beth Noveck. This project illustrates the huge potential for business transformation that Cloud 2.0 offers. It’s not just about migrating data-center apps into a Cloud provider, connecting an existing IT system to a web interface or just publishing Open Data reporting data online, but rather utilizing the nature of the web to entirely re-invent the core process itself. It’s about moving the process into the Cloud. In this 40 page Harvard white paper Beth describes how the US Patent Office was building up a huge backlog of over one million patent applications due to a ‘closed’ approach where only staff from the USPTO could review, contribute and decide upon applications. To address this bottleneck she migrated the process to an online, Open version where contributors from across multiple organizations could help move an application through the process via open participation web site features. Peer to Patent is a headline example of the power of Open Government, because it demonstrates its about far more than simply publishing reporting information online in an open manner, so that they public can inspect data like procurement spending numbers. Rather it’s about changing the core decision-making processes entirely, reinventing how Government itself works from the inside out, reinventing it from a centralized hierarchical monolith to an agile, distributed peer to peer network. In essence it transforms the process from ‘closed’ to ‘open’, in terms of who and how others can participate, utilizing the best practice of ‘Open Innovation‘ to break the gridlock that had occured due the constraints caused by private, traditional ways of working. Open Grantmaking – Sharing Cloud Best Practices Beth has subsequently advised further on how these principles can be applied in general across Government. For example in this article on her own blog she describes ‘Open Grantmaking‘ – How the Peer To Patent crowdsourcing model might be applied to the workflows for government grant applications. She touches on what is the important factor about these new models, their ability to accelerate continual improvement within organizations through repeatedly sharing and refining best practices: “In practice, this means that if a community college wins a grant to create a videogame to teach how to install solar panels, everyone will have the benefit of that knowledge. They will be able to play the game for free. In addition, anyone can translate it into Spanish or Russian or use it as the basis to create a new game to teach how to do a home energy retrofit.” Beth describes how Open Grantmaking might be utilized to improve community investing in another blog, describing how OG would enable more transparency and related improvements. Cloud 2.0 As the underlying technology Cloud 2.0 caters for both the hosting of the software and also the social media 2.0 features that enable the cross-enterprise collaboration that Beth describes. Cloud Configuration Management CCM is the best practice for change and configuration management within Cloud environments, illustrated through vendors such as Evolven. Problem Statement One of the key goals and perceived benefits of Cloud computing is a simplified IT environment, a reduction of complexity through virtualizing applications into a single overall environment. However complexity actually increases.  Virtual Machines (VMs) encapsulate application and infrastructure configurations, they package up a combination of applications and their settings, obscuring this data from traditional configuration management tools. Furthermore the ease of self-service creation of VMs results in their widespread proliferation, and so actually the adoption of Cloud technologies creates a need for a new, extra dimension of systems management. This is called CCM, and incorporates: Release & Incident Management The increased complexity therefore increases the difficulties in trouble-shooting technical problems, and thus requires an updated set of tools and also updates to best practices like the use of ITIL procedures. ‘Release into Production’ is a particularly sensitive process within software teams, as major upgrades and patches are transitioned from test to live environments. Any number of configuration-related errors could cause the move to fail, and so CCM software delivers the core competency of being better able to respond quicker to identify and resolve these issues, reducing the MTTR significantly. DevOps DevOps is a set of principles, methods and practices for communication, collaboration and integration between software development and IT operations. Through the implementation of a shared Lean adoption program and QMS (Quality Management System) the two groups can better work together to minimize downtimes while improving the speed and quality of software development. It’s therefore directly linked to Business Agility. The higher the value of speed and quality = a faster ability to react to market changes, deploy new products and processes and in general adapt the organization, achieved through increasing the frequency of ‘Release Events’: It’s therefore directly linked to Business Agility. The higher the value of speed and quality = a faster ability to react to market changes, deploy new products and processes and in general adapt the organization, achieved through increasing the frequency of ‘Release Events’: ITaaS Procurement The fundamental shift that Cloud Computing represents is illustrated in one key implementation area:   Procurement. Moving to Cloud services means changing from a financial model for technology where you buy your own hardware and software, and pay for it up front, to an approach where instead you access it as a rental, utility service where you “PAYG – Pay As You Go”. To encompass all the different ‘as a Service’ models this is known at an overall level as ‘ITaaS’ – IT as a Service. Any type of IT can be virtualized and delivered via this Service model. Towards the end, I hope that you have gained a clear understanding of How Business Transforms Through Enterprise Cloud Computing. If this article has helped you clear your fundamentals and if you wish to learn more about Cloud computing by getting certified, then you can undertake the AWS certification course offered by KnowledgeHut.
Business Transformation through Enterprise Cloud C...

The Cloud Best Practices Network is an industry ... Read More

How to Pass the AWS Cloud Practitioner Exam?

Are you planning to appear for the AWS Cloud Practitioner Certification in 2019? Looking for some guidance in the right direction? Well, your search ends here. Here is a complete and comprehensive guide of all the things you can expect from the AWS exams and how to best prepare for them!What is the Need for Cloud Computing: Cloud Computing is one of the biggest industries in Information Technology. It has ventured into several sectors and industries over the globe changing the way we commute, communicate and conduct business. Cloud Computing is allowing businesses and clients transact better and incorporate innovative ideas in an effective way and on a massive scale. Plus, the fact that there is no need for up-front investment, only makes things better for small scale enterprises.  What is Amazon Web Services: Amazon Web Services (AWS) is the global leader in cloud computing. AWS offers over 100 patented services and other additional courses through the Marketplace that can be accessed by people from all across the world. AWS is a credible and reliable cloud computing platform that has abusiness in digital areas such as Silicon Valley, Seattle, and New York. AWS Certified Cloud Practitioner Certification- An OverviewAWS Cloud Practitioner Certification is one of the basic platforms that offers Cloud Certifications including those like AWS, Azure, and Google Cloud. CloudPractitioner Certification is accessible to anyone who is interested in a career in technology and IT. AWS Cloud Practitioner Certification is meant for Systems Engineers, Network Engineers, Developers, Sales, Marketing, and IT leaders. Here is the list of AWS certified roles that you can apply for with the AWS Cloud Practitioner Certification: AWS Certified Solution Architect Associate  AWS Certified Solution Architect Professional AWS Certified Developer Associate AWS Certified SysOps Administrator Associate AWS Certified DevOps Professional AWS Certified Networking Specialist AWS Certified Security Specialist AWS Certified Bigdata Specialist. Eligibility Criteria for AWS Cloud Practitioner Certification:Here are some of the basic criteria need to be satisfied to be able to take AWS Certified Cloud Practitioner Certification exam: Minimum ½ year practice of AWS cloud concepts in either of these sectors- purchasing, financial, sales, technical, managerial, etc. Understanding of IT services and their application in AWS Cloud platform. Exam Pattern for AWS Cloud Practitioner Certification: There are two basic types of questions that you’ll find in the AWS Certified Cloud Practitioner Certification Exam- objective and subjective. The multiple-choice questions have 4 options, out of which candidates have to select the right one. The other kind is called the multiple-response question where candidates have to think of all possible responses of a question. Beginner level candidates generally opt for the AWS distractor options as they’re easier and have no negative marking for selecting a wrong answer. You will be given 90 minutes to finish the exam. Also, the exam is available in English, Korean, Japanese, and Simplified Chinese at a price of 100 USD. For more information regarding the exam, download the exam guide CLF-C01. What are the ObjectivesAWS Cloud Practitioner Certification Exam: AWS CCP is an exam that aims at testing the candidates practical and theoretical understanding of cloud computing. Acing this exam would make you a certified cloud based developer or analyst. This certification exam evaluates candidate’s knowledge to: Explain the chief characteristics of operating and deploying in the AWS Cloud Identify the key sources of technical help or documentation Define common security model, security and compliance concepts Clarify the elementary principles of AWS Cloud Architecture Elucidate AWS cloud standards Describe the account management, billing, and pricing Explain AWS cloud and its basic infrastructure AWS Certified Cloud Practitioner Certification Subject Areas The curriculum for AWS Certified Cloud Practitioner Certification exam has been categorized into four subject areas, such as: S.No.DomainsWeightage1Cloud Concepts28%2Security24%3Technology36%4Billing & Pricing12%1. Cloud Concepts A basic knowledge of Cloud Computing Concepts is mandatory if candidates want to clear the AWS exam. There are generally broad questions asked from this section and includes topics like Fault Tolerance, High Availability, Scalability, and Elasticity. 2. Security Security is another topic that is essential for AWS applicants. This includes various questions related to culpable management, compliance, and security. Below are some of the topics that you may find in your exam: IAM- Managing users, Password policies, and MFA DDoS Protection Cloud Logs Shared Security Model 3. Technology Technology is the most significant field of AWS Certified Cloud Practitioner certification exam. You should be familiar with the main AWS services if you want to be proficient in this section. Some of the AWS services that you must know include Route 53, Lambda, S3, ELB, SNS, RDS and EC2.  4. Billing & Pricing As AWS Certified Cloud Practitioner certification exam focuses on the commercial application of AWS, Billing & Pricing becomes an integral topic for applicants. You must have a basic understanding of  knowledge of general account information, AWS support, billing processes and how services are billed, cost calculation, taxation and more.  How to Prepare for AWS Certified Cloud Practitioner Certification: As we all know that training for any certification course is no piece of cake. Candidates need to put in considerable time and effort in the right direction to get a decent score. Here is how one can prepare for the exams;  Start with AWS Training Lessons Here are three AWS Training courses that will help you to pass this certification. AWS Cloud Practitioner Essentials: This course caters to candidates who want to get a complete understanding of AWS Cloud. This course comprises of cloud concepts, AWS amenities, pricing, architecture, security, and support. AWS Technical Essentials: This course enlightens you about AWS services, goods, and some commonplace solutions. It makes you more competent in analysing AWS services so that you will be able to resolve IT issues.  AWS Business Essentials: AWS Business Essentials supports candidates who want to know about the advantages of cloud computing, plus monetary profits and cloud-based approaches to help people crack business goals. This course even advises you about safety and acquiescence concepts and helps you understand AWS cloud computing approach. Consult the AWS Certified Cloud Practitioner Certification Exam Guide People preparing for AWS Certified Cloud Practitioner Exam should definitely consult the AWS CCP guides available online and offline. These books offer a deeper understanding of the core areas that candidates need to focus on. Get Familiar with the Subject Areas When you are preparing for an exam, the subject area or topic is an important part that you should be concentrating on. Objectives of AWS CCP certification exam have already been discussed above, go through them carefully, and then start your training through the suggested study material for each topic area. Go through AWS Whitepapers Since we know that white papers are fashioned to instruct the listeners about a specific and precise methodology. AWS whitepapers are detailed reliable and cover the basic topics such as security, architecture, and economics. Here are some popular AWS whitepapers that will help you in the preparation of AWS Certified Cloud Practitioner certification exam Overview of AWS How AWS Pricing Works Maximizing Value with AWS AWS Security Best Practices An Overview of the AWS Cloud Adoption Framework The Business Value of AWS: Succeeding at Twenty-First Century Business Infrastructure Self-Study AWS Cloud Practitioner certification exam covers the rudimentary concepts and information regarding AWS Cloud. People who have the experience or expertise of working on AWS cloud platform, can easily pass the exam through self-study. We would recommend online courses for candidates who have trouble understanding the concepts and ideas of AWS cloud computing. Browse through the FAQs and blogs to get a better idea about how things work.  Take Free Cloud Practitioner Practice Test Taking practice tests for any certification exam is the best way to evaluate yourself for the exam and test your knowledge. If you want to accomplish good grades, you must opt for the free AWS Certified Cloud Practitioner practice exam. These tests are designed in a pattern that resembles the actual exam structure and contents.  Schedule the Exam and Get Certified Now that you are done with your preparation and feel confident enough, it is the right time to enrol for the exam. Candidates can choose any testing centre in their locality. A quick look at the AWS training website would give you a list of all the centres near you. Pick a centre and register yourself.  Best AWS Certified Cloud Practitioner Certification Books There are several books and notes that candidates can consult while preparing for AWS exams. AWS Exam Guide will give people a step by step guide in order to prepare for the tests. It is a well organised and comprehensive tool for first timers and professionals alike. We have enlisted some important books that will help you to prepare for the AWS certified cloud practitioner exam. Read all or few of these to clear your notions of AWS cloud and pass the certification exam with flying colours. So, here are the suggested AWS certified cloud practitioner books – AWS: The Beginners Guide to Amazon Web Services by Dennis Hutten AWS Basics: Beginner’s Guide by Gordon Wong Learning AWS by Aurobindo Sarkar and Amit Shah Amazon Web Services for Dummies by Bernard Golden Amazon Web Services in Action by Andreas Wittig and Michael Wittig AWS Automation Cookbook – Continuous Integration and Continuous Deployment using AWS Services by Nikit Swaraj Suggestions to Follow While Taking AWS Cloud PractitionerExam: Now that you have prepared for the exam, and registered for the same, it is time to face the music and actually appear for the exams. Don’t be nervous, you have done your best and are absolutely prepared for the tests. Take a deep breath, and follow these tips if you feel unsure or under confident about the papers;  Start the exam by answering the questions you are sure about. Tackle the simplest problems first. You can then have more time on your hands to think about the difficult questions. Also, don’t spend a lot of time on a single question Keep a watch with you and always check the time when you’re at the exam time. Keeping track of how much time you’ve spent is a great way to manage your answers better. This way you can even attempt all the questions Don’t panic, take a deep breath, and avoid rushing into the answers. Don’t try to complete the questions as fast as you can, try to be accurate as well. Although there is no negative marking, it would be better if you get maximum answers correct  The AWS exam lasts for 90 minutes, with enough practice, you can easily solve the papers in the stipulated time. Give mock exams and tests to practice your skills The objective questions are usually the easiest to answer, so do them first, next, pick the questions that have multiple right answers. It is not always the case that only one answer will only be the best answer. Think about all the possible ways in which the question can be answered, and pick the best-case scenario The AWS pattern does have sub questions and sub sections in a single large question. Not every question has the same weightage or answering requirement. Read through the marking scheme and instructions carefully before you answer Don’t rush with the question, read it carefully to understand exactly what is asked of you before you begin with your answer.  The Bottom Line  Preparing for AWS CCP exams are not a piece of cake, however, it is not as difficult as most people make it sound as well. What you need is the right balance of resources and training. Start with the basics and slowly work your way from there. You don’t need to ace the subjects in one go, take your time, be through with your preparation and we’re sure you will be able to crack the exams. Try out the AWS Cloud Practitioner Certification Training course of KnowledgeHut to prepare for the exam. Good luck! 
7600
How to Pass the AWS Cloud Practitioner Exam?

Are you planning to appear for the AWS Cloud Pract... Read More

Useful links