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Network Security Engineer

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Network Security Engineer

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SAP Analytics Cloud

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SAP Analytics Cloud

Transform Enterprise with SAP Analytics Cloud (Start Digital Transformation with SAP Analytics Cloud)

  Digital Transformation for Business:

Every business needs a roadmap for Digital transformation. Which involves fundamentally changing business operation, deliver value to customers and rethinking of business models. Finding the new ways to generate revenue and improve efficiency.

What is SAP Analytics Cloud?

It is the cloud solution that connects people, information, and ideas. It is tripped by artificial intelligence and compete with SAP compliance, security, and Data Protection Practices.

SAP Cloud Analytics is a best in providing Software as a Solution (SaaS) that combines all the analytics functionalities in one innate user interface and saving time. Those efforts making better decisions like Planning, Predictive, and Business Intelligence.

  SAP Analytics Cloud helps to enable people to make better, faster, and more confident decisions.

 Differentiation of planning cloud solution to non-cloud solution:

The web-based nature of the application limits customization opportunities that might be necessary for more complex business requirements.

SAP Analytics Cloud features numerous pre-configured interfaces for external data sources (particularly SAP data sources), the interfaces will be slower and less integrated compared to desktop-based planning solutions connected to on premise databases.

SAP aim to be the cloud company powered by SAP HANA. The software should be present in the market for some years from now and SAP Cloud Analytics is not the exception as it is build on SAP S 4HANA Cloud Platform.

It is slowly upgrading the flagship product SAP EPM suite. The main feature of SAP Analytics Cloud as the Digital Boardroom.

  SAP ANALYTICS CLOUD PLANNING

  SAP Analytics Cloud application design consists of models which are the foundation for data exploration. Consisting mainly of measures and dimensions, models provide a framework for the data visualizations in the stories.

Stories are where we analyze the data. It’s where we build our charts, tables, graphs, and use other data visualization tools to tell the story of the business.

  These models contain dimensions like hierarchical structures where organizations can manage their Organisational Structure and Accounts.

Types of models available in SAP Analytics Cloud architecture:

  Planning and Analytics: Planning allows users to execute planning activities within the models.

Analytics allows user to perform analysis with the data gathered.

Models can create manually, importing a file from computer, getting data from a cloud app such as Google Drive or Success Factors, or connecting with a data source such as SAP BPC, SAP BW, SAP ERP, SAP HANA or SAP Universe.

Analyzing the data is as simple as selecting the cells on the spreadsheet and asking SAP Analytics Cloud to create a chart with it. The applications are helps to analyze the data and recommend the best way to visualize it. Those helps to modify the chart type, format. Then share it by adding it to a presentation that can be completely formatted to meet any branding requirements.

On the planning side, SAP Analytics Cloud allows users to configure formulas for different accounts, manage currency conversion tables as well as allocations.

Multiple data scenarios can be managed at the same time. Users can create tasks and set up reminders to complete the process on time.

  The Benefits of using SAP S/4HANA with SAP Analytics Cloud:

  SAP S/4HANA is to manage all areas of their business as manufacturing, HR, sales, marketing, finance, etc.,

The Standard feature of S/4HANA includes embedded analytics. SAP Analytics Cloud as a separate analytics tool is available to help us.

  SAP S/4HANA includes embedded analytics:    

It has its own embedded analytics tool. This tool enable users to interact with real-time data. It has forecasting capabilities that helps to predict and simulate. It helps to create business dashboards and reports where you can drill into transactional data to answer

ad-hoc questions and find insights about your business.

By bringing transactions and analytics both are in a single platform.

    Data can import and converted into charts, graphs, and tables. With data visualizations, the extraction which means to help the inform data-driven decision making.

   Benefits of SAC with SAP S/4HANA embedded analytics.

Data on the go: While both SAP S/4HANA and SAP Analytics Cloud are deployed in the cloud, SAP Analytics Cloud has a mobile app for iOS. This allows to view and share the stories on mobile devices. Everything is secure on cloud network and data can be accessed anywhere.

Integrating with datasources: SAP Analytics Cloud helps to pull the data from a host of SAP and non-SAP datasources to give a richer overview of business. This helps to analyze data from a number of datasources, including:

SAP Fieldglass

SAP Success Factors

SAP Ariba

SAP Concur

Salesforce

Google Analytics

  Modelling Capabilities of SAP Analytics Cloud:

  SAC offers many modeling capabilities. More appropriate with SAP S/4HANA to customization and Control over data. Modeling capabilities allow to clean the data and get more accurate analysis. It helps to set the advanced formulas, aggregation, multi-level hierarchies, currency conversion, and fix errors on a large scale.

  Live data connection: SAP Analytics Cloud connections allow live link to SAP S/4HANA that means any changes made to data in the source are directly reflected to SAP Analytics Cloud.

The benefit of connecting the data this way, helps data remains in the source system so we are not transferring large amounts of data. Any one of the existing models can be used directly by SAC to analyze, without replicating the data and visualization.  With the SAP Analytics Cloud connector, getting the most up-to-date information is a matter of hitting the refresh button.

Integrating Digital Boardroom: An add-on feature of SAP Analytics Cloud is SAP Digital Boardroom. It executes to transform meetings from static presentations to completely interactive discussions based on live data.

  SAP Analytics Cloud Integrations:             

  SAP Analytics Cloud is strategic analytics tool which we analyze, report and forecast business data of the enterprise applications. So, let us consider the enterprise application as S/4HANA Cloud.

  Connecting SAP S/4HANA Cloud with SAP Analytics Cloud:

There are two options:

Data connection

Are available for cloud and on premise data sources

Replicate data within SAP Analytics Cloud

Create new data models through the SAP Analytics Cloud Modeler

Update data visualizations and stories when refreshed

Live connection

Are available for cloud and on premise data sources

Do not replicate data in SAP Analytics Cloud

Use existing data models for analysis.

Update data visualizations and stories with new data in real-time

  References 

Home page

https://www.sap.com/india/products/cloud-analytics.html

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Immediate Requirement for Python Developers

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Immediate Requirement for Python Developers

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Adobe development

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Adobe development

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SiteCore developer ( Versions 8 or 9.x)

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SiteCore developer ( Versions 8 or 9.x)

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SAP Plant Maintenance (PM) Consultant

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SAP Plant Maintenance (PM) Consultant

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Senior SAP Consultants for a 6 months/longer project  

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Senior SAP Consultants for a 6 months/longer project  

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Amazon Infrastructure Services

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Amazon Infrastructure Services

Amazon Infrastructure Services

Data centers:

In Amazon Infrastructure Services or in other words AWS cloud infrastructure allow securely building and innovating faster development of a cloud. Amazon Web Services innovation on design and data centers ensure protection from manual mistakes and natural risks. It also implement the controls, build and automated systems that undergo third party audits to confirm security and compliance.

Layers of AWS Data Centers:

Perimeter layer:

In AWS data center physical security begins at the Perimeter Layer. This Layer includes many security features depending on the location as security guards, fencing, security feeds and intrusion detection technology.

Access is Scrutinized: AWS restricts physical access to people who need to be at a location for a justified business reason. Employees and vendors who have a need to be present at a Amazon data center must first apply for access and provide a valid business justification. The request is reviewed by specially designated personnel, including an area access manager. If access is granted, it is revoked once the necessary work is completed.

  Entry is Controlled and monitored: Entering the Perimeter Layer is a controlled process. Staff in the entry gates with security officers and employ supervisors who monitor officers and visitors via security cameras. When approved individuals are on-site, they are given a badge that requires multi-factor authentication and limits access to pre-approved areas.

  Amazon Data center workers are scrutinized, too: AWS employees who routinely need access to a data center are given permissions to relevant areas of the facility based on job function. Staff lists are routinely reviewed by an area access manager. If an employee doesn’t have an ongoing business need to be at a AWS data center, they have to go through the visitor process.

  Monitoring for Unauthorized Entry: Continuously watching for unauthorized entry by using video surveillance, intrusion detection, and access log monitoring systems. Entrances are secured with sound alarms if a door is forced or held open.

  AWS Security Operations centers Monitors Global Security: AWS Security Operation Centers are located around the world are responsible for monitoring, tracing, and executing security programs for our Amazon data centers. 24/7 support to the on-site data center security teams. Security team with continuous monitoring activities such as tracking access activities, revoking access permissions being available to respond and analyze a potential security incident.

    Infrastructure Layer:

In Infrastructure Layer the Amazon’s data centers are building the equipment and systems that keep it running. Components like HVAC system, back-up power equipment and fire suppression equipments are all part of the Infrastructure Layer. These devices and systems help protect servers and ultimately customer’s data.

Layer by layer Access review: Access to the Infrastructure Layer is restricted based on business needs. By implementing a layer-by-layer access review the right to enter every layer is not granted by default. Access to any particular layer is only granted if there is a specific need to access that specific layer.

  Maintaining Equipment is a part of regular operations: AWS teams run diagnostics on machines, networks, and backup equipment to ensure they’re always in operations.

  Emergency –Ready Backup Equipment: Electrical power systems are designed to be fully redundant that in the event of uninterrupted power supply, generators can provide backup power for the entire facility. Monitoring system helps to keep temperature and humidity in range to prevent overheating which reduce service outages.

    Data Layer:

The Data Layer is the area that holds customer data. Protection begins by restricting access and maintaining a separation of privilege for each layer. Deploy threat detection devices for video surveillance and system protocols to safeguarding this layer.

Technology and people Work Together For added Security: There are some procedures to obtain authorization to enter the Data Layer. This includes the review and approval of a person’s access application by authorized individuals. Meanwhile, threat and electronic intrusion detection systems monitor and automatically trigger alerts of identified threats or suspicious activity. For example, if a door is held or forced open an alarm is triggered. Deploy security cameras and retain footage in alignment with legal and compliance requirements.

  Preventing Physical and Technological Intrusion: Access points to server rooms are fortified with electronic control devices that require multi-factor authorization. Amazon servers can warn employees of any attempts to remove data. In the unlikely event of a breach, the server is automatically disabled.

  Servers and media receive Exacting Attention: Media storage devices in AWS are used to store customers. AWS have strong standards on install, service, and eventually destroy the devices when they are no longer required. Customer data is not removed from AWS until it has been securely decommissioned.

  Third-party Auditors Verify our Procedures and Systems: AWS is audited by external auditors on more than 2,600 requirements throughout the year. When third-party auditors inspect AWS data centers they do a deep dive to confirm the compliance of established rules needed to obtain security certifications. Depending on the compliance program and its requirements, external auditors may interact with AWS employees about how they handle and dispose of media. Auditors may also watch security camera feeds and observe entrances and hallways throughout AWS data center.

    Environmental Layer:

The Environmental Layer is for environmental considerations from site selection and construction to operations and sustainability. AWS carefully chooses our data center locations to mitigate environmental risks such as flooding, extreme weather, and seismic activity.

Prepared for the Unexpected: AWS proactively prepares for potential environmental threats like natural disasters and fire. Installing automatic sensors and responsive equipment. Water-detecting devices can alert employees to problems as automatic pumps work to remove liquid and prevent damage. Similarly, automatic fire detection and suppression equipment reduce risk.

  High Availability through Multiple Availability Zones: Each Availability Zone consists of one or more data centers they are physically separated from one another with fast, private fiber-optic networking and have redundant power and networking. Customers who want the high availability and performance of their applications and they can deploy applications across multiple Availability Zones for fault tolerance and low latency.

  Simulating Disruptions & Measuring Our Response: The AWS Business Continuity Plan is an operations process guide outlining how to avoid and lessen disruptions due to natural disasters with detailed steps to take before, during, and after an event. AWS Staff are trained and ready to rebound from disruptions quickly, which includes a methodical recovery process to minimize further downtime due to errors.

  Go green AWS Cloud: AWS is committed to use 100% renewable energy. Companies majorly move to the AWS Cloud from their on-premises infrastructure by that they typically reduce carbon emissions by 88% because our Amazon data centers can offer environmental economies of scale.

  Regions, Availability Zones and Local Zones                                                                       

Amazon cloud computing resources are hosted in multiple locations around the world, and these locations are composed of AWS Regions and Availability Zones.

  Regions

AWS Region is in general a separate geographic area in the cloud. Every Amazon EC2 Region is kept isolated from all other Amazon EC2 Regions. This result in the greatest possible fault tolerance and stability.

If an instance is launched, an AMI (Amazon Machine Image) has to be selected which should be in same Region. If the AMI in AWS is in another region & you can also copy the AMI to the region you are using.

Availability Zones

When you launch an instance, you can either select an availability zone or use a default one. In a scenario of distributed instances across multiple availability zones, if any one instance fails then instance in another availability zone can handle these requests. The elastic IP addresses AWS can mask any failure of an instance in one availability zone by re-mapping the IP address to an instance in another availability zone.

Local Zones

When an instance is launched, we have an option to choose Local Zone to keep your applications are closer to your end users.

Every one of local zones ensures connectivity to full range of services in the AWS Region such as Amazon Dynamo DB and Amazon S3 (Simple Storage Service) through the same APIs and tool sets. Local Zones are not available in every Region

  Edge Locations

An edge location is where an end users can access services located at AWS. These locations are mostly in major cities in the world and are used by CDN (CloudFront in AWS) to distribute content to end user to reduce latency.

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Top Cloud Service Providers

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Top Cloud Service Providers

Top Cloud Service Providers

These days there are many companies which are coming with cloud services with improved performance day by day. These Cloud Service Providers serve customers as PaaS, IaaS and SaaS.

 Cloud Service Providers

In past data was stored in hard drives, the security of these hard drives were not reliable as the drive can be access by anyone. As in today, the cloud computing services has replaced such hard drive technology and came up with a new concept called cloud. In cloud technology data is stored in remote server called cloud. There are many Cloud Computing companies which can provide reliable services.

Services Provided by Cloud Providers

They are three Cloud services offered as Cloud solutions to achieve customer goals by Cloud Computing Provider.

Software as a Service (SaaS)

Software as a Service is highly scalable internet based applications are hosted on the cloud and offer as services to end user.

In SaaS, customers are able to use the software for limited amount of time or particular amount of time or for the life time. SaaS provides the applications to the customers through internet. Most of SaaS applications do not require any downloads as they can be used directly through the web browser.

Platform as a Service (PaaS)

Platform as a service is used to design, built, develop & test applications provided by the cloud infrastructure.

Platform as a service (PaaS) is a framework useful for the developers where they can develop an application to customize the existing applications. This service is also provided through the internet and here all these apps are managed by the enterprise or any third party provider.

Infrastructure as a Service (IaaS)

Infrastructure as a service is provided by the Cloud Service providers which helps customers to access & monitor things like computer, networking, and other services. In IaaS, the customer can pay for the resources on demand rather than buying hardware which is expensive and high in maintenance.

Cloud Service Providers List

There are many Cloud Service providers are available.

Amazon Web Service (AWS)

Microsoft Azure

Google Cloud

SAP

Adobe Cloud

Dropbox

IBM Cloud

Red Hat

VMware

Verizon Cloud

Kamatera

Rackspace

Salesforce

Oracle Cloud

Navisite

Cloud Service providers top listed in the market:

AWS – Amazon Web Services

Cloud computing with AWS as platform provides services such as compute, database storage, content delivery and many other functions which will help to integrate a business. The Amazon Web Services is scalable, flexible, and reliable service due to this many companies are implementing it in their work. There is no immediate cost so the customers have to pay only for what they have used. Among different cloud service providers, AWS is one of leaders.

Through the internet, the customer can access highly durable storage such as Amazon Glacier, Amazon S3, and Amazon EBS. It has a high-performance database like Amazon Redshift, AWS Elasti Cache, AWS RDS and Amazon Dynamo DB.

Microsoft Azure

Microsoft Azure is a cloud computing service to build, test, deploy & manage an application. This is done in a global network with Microsoft managed data centre. It provides both private & public cloud platform. It uses hypervisor a abstraction layer which is a virtualization between the operating system and CPU.

This hyper visor imitate all the functionality of the physical machine such as server and its hardware including configuration into a virtual one. Numerous amount of virtual machine are available. All virtual machines can accommodate many operating systems.

In Microsoft data centre, there are many servers with hyper visor on every server, which allows multiple virtual machines operation. Azure ensures a very easy handling developments for developers and for IT professionals to manage and deploy their Services & applications.

Google Cloud Platform

Google cloud services platform provides Cloud Computing services that operates on infrastructure that Google uses for its all end user products.

Google cloud platform provides both infrastructure & platform as a service. It provides server less computing environments. There are several services offered by Google Cloud such as machine learning, data storage & data analytics.

The data that is stored in Google Cloud is secure and easily accessible. It offers numerous of services from infrastructure as a service to platform as a service. Google ensures a strong commitment towards security and stability. With help of Google cloud platform, user is free to think about the code as well as the features which are needed to develop without worrying about the operations side.

Most of the services are fully managed and easy to use for the customers.

The usage of Machine learning and API are very easy. API also helps in speech detection and language translation.

  IBM Cloud

IBM cloud is a service by IBM. It provides platform and infrastructure as a service. IBM cloud deploys and access all its resources i.e. storage networking & compute on remote through internet. It serves with several tools to help the customer for better industry expertise. 

Speed and agility of IBM cloud is asserting, it wins customer satisfaction to fulfill the enterprise needs by improving the operational efficiency. IBM cloud doesn’t have barriers when compared with traditional technologies.

IBM cloud suppresses many complex problems also helps home appliance manufacturer, retailer & medical supply businesses. It offers the best services in economical pricing.

 Adobe Creative Cloud

Adobe creative cloud provides best experience of apps to support service design photography and web. Adobe provides tutorials and templates; these provide many facilities to the beginner as well as professionals for easy access and start using of cloud.

Adobe creative cloud provides many applications & services that provides access to specific software used for photography, video editing, application development, web development & graphical designs. There are also mobile applications & computer applications which can use by the customers.

Creative Cloud ensures you to work from anywhere on any device, since files are saved to the cloud & accessible at anytime from anywhere.

   Service Types Provided by Cloud Providers

Name of Company  IaaS  Paas  SaaS  Microsoft  Microsoft Private Cloud  Microsoft Azure  Microsoft Office 365  AWS  Amazon EC2  Amazon Web Services  Amazon Web Services  Google  –  Google App Engine (Python, Java and many)  Google Applications  Adobe  –  Adobe Creative Cloud  Acrobat, Flash player, etc.  IBM  Smart Cloud Enterprise Service  Smart Cloud Application Services  SaaS based Products

  Fast growing technologies in Cloud Computing helps a lot in business whether it is a small or large scale. Cloud Service Provider companies provide servers, storage, database, networking & software as pay as you go service through which enterprise can reduce cost on IT Infrastructure. As we have long list of providers, customer always have choice of service provider which is most suitable for their budget and their requirement.

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What is AWS ?

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What is AWS ?

What is AWS ?

or What is Amazon Web Service ? AWS or Amazon web service is a platform that offer Reliable, flexible, scalable and cost-effective cloud computing service. We can server access, database access, storage access and access to high level application components within Seconds remotely. We can consider them as a temporary and disposable resources. Amazon web services is free from inflexibility, in-constrain and infinite IT infrastructure.

  WHY AWS ?

AWS can reduce risk: Cloud Computing user’s agile to reduce risks. Like cost risk & security risk

Scale IT Infrastructure: Ability to resize your resources as necessary. Customer can grow and shrink the size of server.

Operations during disaster: AWS service that makes it quick and easy to shift your disaster recovery strategy to AWS cloud from existing physical or virtual data centers, private clouds, or any other public clouds

Secure data: 24/7 security is provided by the AWS.

  AWS CORE SERVICES:

AWS Compute

AWS EC2 – Amazon Elastic Compute Cloud allows you to easily scale virtual machines for your main compute horsepower. It is a web service that provide secure, resizable compute capacity in the cloud. It is designed to make scaling of cloud computing easier. It provides complete control on computing resources. The instances are pay as you go, Broad selection of hardware / software and Global Hosting.

In just minutes can launch virtual machines called instances online. Select Amazon Machine Image (AMI) with operating system of your choice (Linux or Windows) and start deploying your clusters. There are three types of popular instance when creating AWS EC2 instances:

AWS Compute optimized – Instances that require extremely high request rates. This Compute optimized configuration leverages industry leading processors.

AWS Memory optimized – These instances are built with the most efficient per Gigabyte memory cost.

AMS Storage optimized – Storage optimized instances are accessed extremely fast SSD storage to serve data retrieval requests with high speed.

  AWS Storage

Amazon S3 – Amazon AWS S3 simplifies all of your storage needs into containers called buckets, then it let you choose where and how to store them

There are four ways to designate buckets in Amazon Web Service. Cost to store them varies greatly.

1) Amazon AWS S3 Standard Storage

Standard storage is for data that are frequently accessed, such as logs for the last 1 day or a file that is being accessed frequently. It offers affordable, highly available storage capacity that can grow as quickly as organization needs. Service is charged by the GB used and number of requests to access, delete, list, copy or getting a data in Amazon S3

2) Amazon AWS S3 Infrequent Access Storage

To manage and monitor resources that are necessary for your operation but are used less frequently. Buckets has infrequent access and high data availability (99.9%). Cost effective per gigabyte than Standard Storage buckets.

3) Amazon Glacier

For deep storage data that must be retained but are used rarely. It provides long term archiving solution. Data stored in Glacier can take hours to retrieve, but the cost is less of standard storage.

4) Amazon S3 Reduced Redundancy Storage

This Bucket stores non-essential & easily reproducible data, with variable amount of redundancy and durability as their higher-level storage.

AWS EBS – AWS Elastic Block Storage provides persistent Block-level storage volumes for your Amazon EC2 instances with low latency. Also it allows system to access high speed SSD storage and layer your security with Access Control Lists and encryption. Elastic Block Store permits the use of MDD or SDD storage for many purposes, including boot volumes for Amazon EC2 instances.

AWS Database

AWS RDS – Amazon Relational Database Service makes it easy to set up, operate, and scale any relational database in the cloud. It provides cost-efficient & resizable capacity with automating time-consuming administration tasks. Amazon RDS is adaptable on several database instance types like optimized for memory, performance or I/O. It supports encryption, automated backups are, user-initiated snapshots and auto update of database software.

AWS DynamoDB: NoSQL database in the cloud with blazing performance and on demand scalability. Database management is smoother as it auto manages the data traffic of tables over multiple servers and maintains performance. It can relieves the customers from the burden of operating and scaling distributed databases. Hardware provisioning, configuration, replication, setup, software patching, cluster scaling is handled automatically on this service.

AWS Elasti Cache : It creates in memory caches for better performance interaction ,also this service supports open standards in caching

AWS Networking

VPC – Virtual Private Cloud provides the networking components needed for an infrastructure including subsets, gateways, routing tables, and security mechanisms AWS VPC flow logs are detailed records of the IP traffic passing to and from a port, subnet or your entire Amazon VPC environment. Flow logs provide the deep detailed analytics on who is going where and when. This information provided about your network will enable you develop architecture and budget plans for ongoing operations and overall helps in robust network management. Amazon VPC flow logs also allows you to conduct network forensics including what traffic is worth the compute and storage cost of capturing.

AWS Management

AWS Cloud Watch – Permits the monitoring of key services; uses metrics and alarms for a familiar monitoring approach. Creating an alarms which watch metrics and send notifications or automatically make changes to the resources. Able to monitor when a threshold is breached. For example, when we monitor the CPU usage and disk reads and writes the Amazon EC2 instances & then use this data to determine whether possible to launch additional instances to handle increased load. With Amazon Cloud Watch, we can gain system-wide visibility into application performance, resource utilization, & operational health.

AWS Cloud Trail – AWS Cloud Trial is a service that enables governance, compliance, risk auditing and operational auditing of your Amazon AWS account. It permits the tracking of potentially all the API calls to AWS, also allows you detailed analysis of all events no matter the source is. With this service you can login and continuously monitor and retain account activity on your AWS infrastructure. Amazon Cloud Trail provides event history of your AWS account activity such as actions taken through the AWS Management Console, command line tools, AWS SDKs and other AWS services.

AWS Security

AWS IAM – Identity and Access Management allows the creation of users, groups, and roles for interacting securely with Amazon Web Services.

Helps to manage AWS IAM users and their access

Helps to manage AWS IAM roles and their permissions.

Helps to manage federated users and their permissions.

AWS Application Integration

AWS SNS: The Simple Notification Service allows the generation of email and text notifications based on Amazon Web Services events. It is a highly available, durable, secure, fully managed pub/sub messaging service that enables you to decouple micro services, distributed systems, and non-server applications.

AWS SQS: The Simple Queue Service assists you in decoupling components and queuing messages between these components. This service helps the use of micro services for your processing needs.

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WHAT IS CLOUD COMPUTING ?

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WHAT IS CLOUD COMPUTING ?

WHAT IS CLOUD COMPUTING?

Cloud Computing is accessing data remotely over the Internet. It can provide services over the network (public or private). Cloud computing refers to Internet based Computing i.e., Configuring, Manipulating and Accessing the applications online. Here virtual shared servers provide software, infrastructure, and platform and data storage. It is a combination of both software and hardware-based computing resources and delivered as network service.

Diagram Label – Secured Cloud Computing Architecture

What Are Benefits Of Cloud Computing ?

Efficiency/Cost Reduction: Cloud plays a vital role in IT infrastructure management by providing efficient reliable server availability also reduce costs related to downtime. We don’t have to spend time and money on fixing potential issues related to downtime.

Data Security on Cloud: Cloud offers many advanced Security features to ensure data is securely stored and handled. Cloud storage providers implement the baseline protections for their platforms and the data they process, authentication, access control and encryption.

Scalability: In a business, we don’t have the same IT requirements as a start-up. Using cloud is a great solution because it enables an enterprise to decide efficiently and quickly to Scale up/down an IT Infrastructure. If business demand increase, we can easily increase the cloud capacity without having to invest on physical infrastructure.

Data Mobility: Data in the cloud is easily stored, retrieved, recovered and processed. We can access from any corner of the world as long as we are connected to internet. This saves time and team effort maintaining systems and reducing IT workloads.

Disaster Recovery: Data loss is a serious problem in any organization, along with data security. Storing data in the cloud guarantee that data is available, even if our laptops or computers are damaged. If we upload data on cloud, it remain accessible to any authorized computer with an internet connection. Thus it can be a good addition to disaster recovery plan template of an organization.

  Pros and Cons Of Cloud Computing

Pros:

Access documents from anywhere, including computers and mobile devices. It can also Auto Sync data, so that update can be shared with all the connected devices.

Creating document in web browser, multiple editors can access the documents.

Interface make it easy to clear surveys with many types of questions and logic. Surveys are easily distributed online.

Immediate to host. No need to order and set up server. Flexible configuration expand memory or storage.

Cons:

Technical issues: Cloud totally depends on internet access, if any network or connectivity problems will render the setup. It might take several minutes for cloud to detect server launch.

Dependency and vendor lock: If a user switch to some other provider, it is difficult to transfer huge data from old provider to new one.

Increased Vulnerability: if proper virtual cloud is not in place it may lead to spam access

    3 Types Of Cloud Computing

Platform as a service (PAAS): Used to design, develop, built and test applications which are provided mainly by the cloud infrastructure.

For example: Azure service platform, force and Google app engine.

Infrastructure as a service (IAAS): This is pay as you use model. Services like storage, database management and compute capabilities are offered on demand.

For example: Amazon web services, Go grid, 3 Tera.

Software as a service (SAAS): Highly scalable internet based applications are hosted on the cloud and offer as services to end user.

For example: Google docs, acrobat, salesforce.

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Sybase Administrator

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Sybase Administrator

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IoT – E Glossary Terms

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IoT – E Glossary Terms

IoT – E Glossary Terms

 Introduction

IoT is now part of our all lives. You know about it thus you are here.

You are looking for smart homes, smart cities, IIoT, cutting edge computing etc. We’ve consolidated these IoT devices list, IoT protocols list, & Internet Of Things that you should be aware of while you jump into common connected future. If you find something missing then let us know in the comments or provide us any new terminologies with good definition. This IoT dictionary is yours.

IT is now the part of new era of numerous list of devices. We are indexing here only terms and devices that are starting with alphabet “E”. Keep following our blog for updated IoT list.

  The Glossary of Terms – E

Embedded Device or Systems

It’s a computer with dedicated functions within a larger mechanical or electrical system; it is part embedded of a complete device.

  Endpoint Device

It’s an Internet-capable device on TCP/IP network.

  E-Health

Or eHealth, telemedicine, telehealth and related to mHealth. This is support of medical processes & applications through information & computer technologies. It can also include the gathering & communication of data with automated responses of certain devices & processes.

  EAN – European Article’s Number.

This is used to mark & identify products. Since 2009, it’s also called GTIN (Global Trade Item Number). The number is usually found beneath barcodes & consists of up to 13 digits (EAN 13 barcode).

  Electronic Control Unit (ECU)

Also known as a node, an Electronic Control Unit is a device, such as a sensor or an actuator, that is connected to other device via CAN Bus. A vehicle can contain number of ECUs for functions such as power window, mirror adjustment, cruise control, airbags, entertainment, &, most significantly, engine control. Two or more ECUs are needed to form a CAN.

  Embedded Device Hacking

This is type of hacking where vulnerabilities are exploited in embedded software to gain control of the device.

  Embedded Firmware

The flash memory chip which stores specialized software in an embedded device to control its functions.

  Embedded Software

Specialized programming in chip or on firmware in an embedded device to control its functions.

  Embedded System Security

Reduction of vulnerabilities & protection against threats in software running on embedded devices.

  Embrace, Extend, and Extinguish

A strategy that is associated with Microsoft to defeat open standards with proprietary extensions. Many IoT projects which are open source, so this strategy would be against open development.

  EMI Protocol

It’s an extension to UCP (Universal Computer Protocol). It’s used to connect Short Message Service Centers that stores, transforms, and send short messages.

  Energy-Harvesting Technologies

Technologies that use small amounts of energy transferred from close proximity to power small wireless devices. Applications related to it can be found in wireless sensor networks or wearable tech. While besides others energy sources are like sun, wind, or kinetic energy.

  Enhanced Data rates for GSM Evolution (EDGE)

Its an enhancement to 2G GSM networks i.e. to improve data transfer speeds as well as provide downlink speeds of upto 1 Mbit/s & uplink speeds of upto 400 kbit/s. It builds on available GSM or GPRS standards & is thus easily integrated into existing network.

  Edge Gateway

It’s the connecting factor between device analytics & cloud data processing & analytics

  Edge Layer

It’s an architectural change in field of IoT that breaks the traditional norm of client-server model. This is first layer for connectivity for devices to connect and communicate to before going to the server. This is also responsible for local connectivity of devices & for managing the data collection & connection to this server.

  Enterprise Mobile Duress (EMD)

These Systems are designed to detect personnel related emergencies within large facilities, like that of hospitals or campuses. Where determining physical location of persons in distress is critical issue. EMD systems are robust extension of Personal Emergency Response System (PERS) that are in the enterprise, focusing totally on the protection of people from emergency incidents like violence etc.

  EPC Global

It’s a non profit organization founded by GS1 (i.e. former EAN International) & GS1 US (former UCC). It serves to spread, improve, & standardize the Radio Frequency Identification (RFID) technology & to support communication of gathered data through the Internet.

  ESD

Electrostatic Discharge.

This discharge occurs when two electrical objects with different electrical charges come in close contact with each other. The difference created in charge is often due to friction. Sometimes, this short process is accompanied by sparks, like that can be seen with lightning. ESD may lead to severe damages to electrical devices (such as generators).

  ESN

Electronic Serial Number (used in CDMA). Replaced by the MEID.

  Ether CAT

A field-bus system developed by Beckhoff, which allows for real-time Ethernet. It helps to achieve short data updates, times accurate synchronization, & low hardware costs, so it can be used for automated or control systems. CAT here stands for Controller and Automation Technology.

  EV-DO

Enhanced Voice-Data Only (also known as Enhanced Voice-Data Optimized).

[ukbitsolutions]

ITIL Change Management Process and Overview

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ITIL Change Management Process and Overview

ITIL Change Management Overview

IT landscape needs a change over time. As technology is being transformed frequently old technologies need to be replaced and existing solutions require upgrades to address the demanding regulations. Finally, IT needs to roll out new solutions to meet business demands

Information Technology Infrastructure Library (ITIL) provides set of instructions as best practices for the change management process that defines set of rules for IT professionals to roll out and prioritize changes more efficiently excluding negative impact on customers and service levels.

What is a change management?

The change management is a process designed to minimize and analyze risks while making IT changes. Organizations have two main expectations from the IT services provider:

Services should be stable, reliable, and predictable.

Services should be adaptable to meet evolving business requirements.

Change management is the process in the Service Transition phase of the lifecycle, but the decision on approval of a proposed change is sometimes a strategic one, and therefore it is expected that the change management process will closely work with the portfolio management process as required.

Process of change management is a formal way to accomplish change and therefore is sometimes proposal of making change is more difficult by adding “red tape.” But a properly implemented change management process can make greater volume of useful change than would be possible without it. It does so in the following ways:

Assuring that all proposed changes are evaluated for their benefits and risks, and all impacts are considered.

Prioritizing changes so that limited resources are allocated to those changes that produce the greatest benefit based on outage of the service.

All changes tested thoroughly, and each deployment includes a back-out plan to restore the early state of the environment in the event that the deployment fails.

Two important tools for accomplishing change management process

Change models. It is very rare that a proposed change is not similar to changes made in the past- The change manager can develop a change model & standardize the procedure for implementing a specific type of change. This streamlines the process and reduces the risk of change.

Standard changes- It is a special case of a change model & applies to routine changes involving little risk. Standard changes are mostly pre-approved, meaning that reviewing can be skipped by change management and are treated as service requests by the service desk.

In decision making whether to authorize changes, change manager is assisted by the change advisory board (CAB), CAB comprises experts in IT technology, finance, and the business.

ITIL aims best practices that IT organizations can utilize to deliver value to customers through the concept of “services.” Organizations who use ITIL are successful in standardizing their plan, deliver, & support IT services for their internal / external customers. One of the benefits of using a standardized best-practice framework is ensure that employees understand their roles & the procedures to follow in delivering the services & providing high customer Support. Employee knowledge & performance tend to improve with the use of ITIL, also customer satisfaction is higher as customers know what to expect from service.

The ITIL framework is also intended to give IT support providers an interactive role in organization, rather than providing support in the background.

[ukbitsolutions]

Practicing Incident management In IT

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Practicing Incident management In IT

Incident Management KPI (Key Performance Indicators)

Measurement is important across all stages of ITIL life cycle. Each process has metrics that should be monitored & reported to effectively evaluate the overall performance. Continuous Service Improvement process necessitates that the performance of each process be measured to identify areas of improvement.

Typical Incident Management metrics  

Total Number Incidents reported (per category, priority, person, organizational unit, etc.)

Status of Incidents

Resolution Time

SLA (service level agreement) of every Incident created (reached, breached)

Average cost per Incident

Incident Reoccurrence rate

Incidents handled before escalation

First call resolution

Configuration Items experiencing recurring Incidents

Incidents peak time

  Incident Management KPIs should be related to Critical Success Factors (CSF) and CSFs should be related to objectives. This relationship always helps to keep a track of maintaining current state and aim to improve to desired state. Although each organization is unique, relevant reports of users, staff and management always helps important decisions that can be used to improve both the processes and the business as a whole.

Best Practices for Implementing Incident Management ITIL

Adopting ITIL framework within an organization can be an unsettling task. In any ITIL process, Incident Management implementation requires support from whole organization from executives and upper management. At the initial stage of adoption process, it’s important to have at least one executive dedicated to the overall project management & orchestration of adherence to implement the standard practices of Incident Management. It is also extremely recommended to have an IT service management (ITSM) tool in place that will support ITIL processes, also a Service Desk acting as the primary interface with the IT department.

1) Understand the current Incident Management process flow

Although an organization does not have a consistent process for handling incidents, or have a less sophisticated one in place. Either way, it is very important to map the existing process as well as the best possible.  This helps to understand what the existing Service Desk process offers.

2) Identify long-term Incident Management process vision

It is always important to understand what an organization expects from the Incident Management process ITIL. The expectations may be based on generic Incident Management templates included with the ITSM tool or a more custom process based on the organization’s own specific needs.

3) Conduct a gap analysis

Identifying what must be adjusted between the organization’s current Incident Management process and long-term vision for Incident Management team is an important task to achieve or adapt ITIL framework. This will arm you with valuable information about the effort, time, money & resources necessary to achieve your Incident Management objectives and service goals.

4) Create an implementation road map

Adopting an ITIL process will take time to develop, and a road map is to be in place to help set expectations for management. Use that road map to describe the activities, timeframe & efforts necessary to deliver. This roadmap should include quick wins, tool implementations, process changes, people/organization enablement, communication plans and overall governance changes.

5) Begin project implementation

When it’s time for implementation, create a project plan that defines the actions and tasks, responsibilities & time line for completion of all tasks. Keep posted and updated successes along the way as you achieve each milestone, demonstrating your progress towards your ultimate implementation goal.

[ukbitsolutions]

The Incident Management Process – ITIL Framework

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The Incident Management Process – ITIL Framework

The Incident Management Process – ITIL Framework

How does Incident Management work?

Incident Management is responsible for managing the life cycle of an incident, starting from Incident Definition, creation till closure. Incident Management process is structured to manage Incidents reported manually or automatically by an event management tool, or users or service desk technician through self-service portal, by telephone, email or in person.

ITIL is a framework, not a rigid set of Principals, to manage effective IT service delivery, adaptable by organizations to meet their AMS ( Application Management Service ) delivery needs.

ITIL Incident Management Process Flow

1) Incident identification

Usually Incidents are identified at a very early stage through Manual/Automated events monitoring, even before a user is impacted. However, this isn’t always the case. Sometimes Incidents are identified by the impacted user reporting it to the service desk.

2) Incident logging

Any Incident has to be logged in maintain a complete historical record. All Incidents, regardless of the method used to identify and report them to the service desk, must be logged with all relevant details, including user information, description, date/time, related Configuration Items from the service-now CMDB (configuration management database ), associated Problem, resolution details & closure information.

  3) Incident classification

  When an incident is logged, all appropriate categories must be selected in order to assign, escalate and monitor frequencies and Incident trends.

  4) Incident prioritization

  Priority assignment is very critical in determining how, when and by whom the incident will be handled. Priority is set based on the level of urgency. Basically depends on number of affected users and its impact on the business. Prioritization and SLA (Service Level Agreements) determines how quickly resolution is required.

  5) Incident assignment or escalation

As an initial attempt service desk technician tries to resolve the Incident. In case if the service desk fails to provide resolution, then the Incident is escalated to the appropriate level of support, possibly involving either second or third level technical support who possess the adequate skills to resolve the Incident.

  6) Incident investigation and diagnosis

This step takes place immediately in order to determine the best course for correction. The technician may rely on the knowledge base, FAQs or KEDB (known errors data base) for diagnosis and resolution.

  7) Incident resolution

Once resolved, the solution can be implemented and tested to confirm service recovery. Then the solution is to be updated in KEDB for future reference.

  8) Incident closure

After confirmation that the Incident has been successfully resolved, and the end-user is satisfied, with end-user’s conformation Incident can be closed. The service desk should ensure that the initial Incident classification details are accurate for future reference and reporting.

  8) Communication / User satisfaction survey

A user communication with end user has to be initiated for satisfaction survey to determine overall satisfaction with service delivery. This is one of the most effective ways to build and maintain a positive relationship with your customers and users,

Paying close attention and implement improvements based on their feedback builds strong trust and positive customer relationship. There are several methods of gathering feedback including after-call surveys, Email surveys and the online survey.

Below are few best practices one ideally follows when developing a user satisfaction survey:

Purpose of the survey

survey randomly to achieve accurate results

Keep it short, yet thorough

Clearly state your questions

No open-ended questions

Share survey results and improvement Plans

  Outlined above lifecycle is an easy way to adapt organizational hierarchy and process workflows to fit with an easy management of AMS (Application Management Services) framework. By doing so, can achieve better customer service, customer satisfaction, and deliver much more value back to the business.

[ukbitsolutions]

IoT Devices List – D

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IoT Devices List – D

IoT Devices List – D Glossary Terms

Introduction

IoT has taken over world and in all our lives. You are here means you already know about it.

Whether you are looking for smart homes, IIoT, smart cities, cutting edge computing. We’ve compiled this IoT devices list, IoT protocols list, & Internet Of Things – related phrases that you should be aware of while you dive into connected future. Let us know if we missed something in the comments & provide us with any new terminologies with a good definition. This dictionary of IoT is yours.

IT is part of new era of various endless list of devices. Thus we are only indexing here terms and devices starting with alphabet “D”. Keep following our website for updated IoT list.

   The Glossary of Terms – D

Data Filtration

Its a part of Edge Layer which reduces the amount of transmitted information, at same time retains the meaning of it.

  Dashboard

A user interface that showcases key information of particular area in a summarized form, often as graphs or other related widgets. This term is derived from the automobile dashboard, the design of interface depends on what IoT related information needs to be monitored or measured.

  Data Center

Its a collective term representing the physical site, systems, network elements etc., that supports computing & network services.

  Data-Driven Decision Management (DDDM)

It’s an approach to business governance where valuing decisions that can be backed up by verifiable data

  Data Janitor

It’s one of subtask of data science where the cleaning up of dirty data or duplicative data is to be done. In general janitor must get sort data into the correct columns.

  Datakinesis

It’s a term coined by Marc Blackmer, data kinesis occurs when any action is taken in cyberspace has resulted in physical world. For example, Industrial Control Systems, which are vulnerable to datakinetic attacks where physical equipment such as valves &  sensors are compromised & damaged by hackers. Stuxnet is one of such example.

  Data Lake

This term is Coined by Pentaho’s CTO James Dixon, a data lake is a massive data repository that is designed to with-hold raw data until it’s needed & to retain data attributes so as to not preclude any future uses or/and analysis. The data lake is stored on generally inexpensive hardware, & Hadoop can also be used to manage data, replacing OLAP as means to answer specific questions. Sometimes also referred to as “enterprise data hub,”. The data lake & its retention of native formats sits in contrast to traditional data warehouse concept

  Data Scientist

It’s a job that combines statistics & programming by using languages such as R, this is to make sense of massive data sets. Example – IoT devices and sensors, create huge amount of data, & the data scientist’s role is to extract out of it valuable information & detect any anomalies.

  DDS

Acronym as Digital Data Storage. This format was used to store computer data on magnetic audio tape. This technology was developed by HP & Sony in 1989 & is based on the digital audio tape (DAT) format. It was widely used technology in 1990s.

  De-identification

The stripping away of any personally identifiable information from data before its use. The process must include removal of both i.e. direct identifiers (like name, email address, etc.) & also proper handling of quasi-identifiers (like sex, marital status, profession, postal code, etc.).

  Device-Agnostic Control

Part of the Edge Layer which provides site abstraction that allows the server and/or cloud applications to be agnostic to device implementation it controls.

  Degrees of Freedom (DoF)

It’s an engineering concept that is used in MEMS. It describes the directions in which an object can move & generally the number of independent variables in a dynamic system.

  Demand Response (DR)

The voluntary reduction of electricity usage by end users as a response to high-demand pricing. Demand response can reduce electrical price volatility during peak demand periods & help avoid system emergencies. Example of DR would be an utility paying Nest that have thermostats turn down air conditioners automatically in empty homes on a hot day.

  Device Attack

It’s an exploit that takes an advantage of a vulnerable device to gain access to a network.

  DIN Rail

A metal rail used for mounting electrical equipment & racks.

  Direct Messaging

A messaging mechanism in which sender & receiver are connected directly or can exchange messages via one or more intermediate hops. In this no hop take ownership of each message and just forward it (routing).

  Distributed Generation (DG)

Decentralized, modular, & flexible power generation that is located close to serviced loads. Distributed microgrids can control smaller areas of demand with distributed generation & storage capacity.

  DIY

Acronym as Do It  Yourself. Enthusiasts generally try out with gadgets or software to improve it’s functionality or to do some custom-install projects in their homes.

  DNP3 Protocol

An open, standards-based protocol that is for the electric utility industry with interoperability between substation computers, intelligent electronic devices), remote terminal units & master stations. Its like Groups of enabled things are well organized into namespaces.

  DoF

Degrees of Freedom

  DR

Demand Response.

  Domain Model

A model which contains all areas & terms related to a certain field of interest. It includes attributes, constrains, relations, acts, etc., which are relevant for particular task.

  Domotics

It’s a combination of “domestic” & “robotics.” Also a composite of the Latin domus & informatics. It includes home automation systems, home robots, whole house audio/visual systems & security systems. Domotic devices have ability to communicate with each other.

  Downlink

Abbreviated as DL or D/L. It is the process of downloading data onto end node from a server/target address. In a cellular network it would be seen as data being sent from a cellular base station to a mobile handset.

  DWG

It’s a format for different computer-aided design programs, majorly including AutoCAD. It is used to store two & three dimensional design data & meta data.