Michael Koster from ARM presented during the Open Mobile Alliance LwM2M Workshop event on January 28, 2015. This is a copy of the slides presented for his session titled, "IPSO Alliance Objects".
Michael Koster from ARM presented during the Open Mobile Alliance LwM2M Workshop event on January 28, 2015. This is a copy of the slides presented for his session titled, "IPSO Alliance Objects".
OMA hosted a Workshop in Edinburgh on Friday, May 06, where field engineer Hannes Tschofenig, Senior Principal Engineer at ARM, showed attendees how to use the LwM2M protocol on FRMDM-K64F boards, designed by NXP in collaboration with mbed, to connect to the mbed cloud service (formally known mbed Connector) and to the Leshan server.
This presentation is a part of the Workshop Agenda:
9:15-9:30 Opening Remarks and Brief Overview of LWM2M
9:30-10:30 Demo of the Arduino Yun by HOP Ubiquitous
10:30-10:45 Demo of the LwM2M Editor Tool and DevKit
11:00-15:00 NXP FRDM-K64F Platform with ARM mbed demo
See more here: https://github.com/OpenMobileAlliance/OMA_LwM2M_for_Developers/wiki/2016-May-IoT-Platform-Training-%28Workshop%29
Log Management
Log Monitoring
Log Analysis
Need for Log Analysis
Problem with Log Analysis
Some of Log Management Tool
What is ELK Stack
ELK Stack Working
Beats
Different Types of Server Logs
Example of Winlog beat, Packetbeat, Apache2 and Nginx Server log analysis
Mimikatz
Malicious File Detection using ELK
Practical Setup
Conclusion
Characteristics of cloud native apps.
Problems in implementing event-driven stateful applications.
Siddhi: Cloud-Native Stream Processor.
Patterns of implementing event-driven applications.
Deploying event-driven applications on Kubernetes with Siddhi and NATS.
What's streaming processing? The evolution of streaming SQL. It's advantages & challenges, and how we can overcome them. Presented at WSO2 Con 2018 USA
Organizations that can make sense out of massive amounts of data produced by systems, customers, or partners will have a competitive edge. Ballerina Stream Processing provides real-time event stream processing capabilities to microservices, with intuitive SQL queries allowing users to filter, aggregate and correlate data to make sense, take decisions and act in real-time in a distributed manner.
In this talk, we will discuss the following:
* Ballerina’s Stream Processing capability.
* How can it be used for real-time decision making?
* Building highly scalable data pipelines with data processing at the edge.
* Building event-driven architecture with stream processing.
* The roadmap.
Organizational success depends on our ability to sense the environment, grab opportunities and eliminate threats that are present in real-time. Such real-time processing is now available to all organizations (with or without a big data background) through the new WSO2 Stream Processor.
This slides presents WSO2 Stream Processor’s new features and improvements and explains how they make an organization excel in the current competitive marketplace. Some key features we will consider are:
* WSO2 Stream Processor’s highly productive developer environment, with graphical drag-and-drop, and the Streaming SQL query editor
* The ability to process real-time queries that span from seconds to years
* Its interactive visualization and dashboarding features with improved widget generation
* Its ability to processing at scale via distributed deployments with full observability
* Default support for HTTP analytics, distributed message trace analytics, and Twitter analytics
Webinar Slides: Tungsten Replicator for Elasticsearch - Real-time data loadin...Continuent
Elasticsearch provides a quick and easy method to aggregate data, whether you want to use it for simplifying your search across multiple depots and databases, or as part of your analytics stack. Getting the data from your transactional engines into Elasticsearch is something that can be achieved within your application layer with all of the associated development and maintenance costs. Instead, offload the operation and simplify your deployment by using direct data replication to handle the insert, update and delete processes.
AGENDA
- Basic replication model
- How to concentrate data from multiple sources
- How the data is represented within Elasticsearch
- Customizations and configurations available to tailor the data format
- Filters and data modifications available
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
OMA hosted a Workshop in Edinburgh on Friday, May 06, where field engineer Hannes Tschofenig, Senior Principal Engineer at ARM, showed attendees how to use the LwM2M protocol on FRMDM-K64F boards, designed by NXP in collaboration with mbed, to connect to the mbed cloud service (formally known mbed Connector) and to the Leshan server.
This presentation is a part of the Workshop Agenda:
9:15-9:30 Opening Remarks and Brief Overview of LWM2M
9:30-10:30 Demo of the Arduino Yun by HOP Ubiquitous
10:30-10:45 Demo of the LwM2M Editor Tool and DevKit
11:00-15:00 NXP FRDM-K64F Platform with ARM mbed demo
See more here: https://github.com/OpenMobileAlliance/OMA_LwM2M_for_Developers/wiki/2016-May-IoT-Platform-Training-%28Workshop%29
Log Management
Log Monitoring
Log Analysis
Need for Log Analysis
Problem with Log Analysis
Some of Log Management Tool
What is ELK Stack
ELK Stack Working
Beats
Different Types of Server Logs
Example of Winlog beat, Packetbeat, Apache2 and Nginx Server log analysis
Mimikatz
Malicious File Detection using ELK
Practical Setup
Conclusion
Characteristics of cloud native apps.
Problems in implementing event-driven stateful applications.
Siddhi: Cloud-Native Stream Processor.
Patterns of implementing event-driven applications.
Deploying event-driven applications on Kubernetes with Siddhi and NATS.
What's streaming processing? The evolution of streaming SQL. It's advantages & challenges, and how we can overcome them. Presented at WSO2 Con 2018 USA
Organizations that can make sense out of massive amounts of data produced by systems, customers, or partners will have a competitive edge. Ballerina Stream Processing provides real-time event stream processing capabilities to microservices, with intuitive SQL queries allowing users to filter, aggregate and correlate data to make sense, take decisions and act in real-time in a distributed manner.
In this talk, we will discuss the following:
* Ballerina’s Stream Processing capability.
* How can it be used for real-time decision making?
* Building highly scalable data pipelines with data processing at the edge.
* Building event-driven architecture with stream processing.
* The roadmap.
Organizational success depends on our ability to sense the environment, grab opportunities and eliminate threats that are present in real-time. Such real-time processing is now available to all organizations (with or without a big data background) through the new WSO2 Stream Processor.
This slides presents WSO2 Stream Processor’s new features and improvements and explains how they make an organization excel in the current competitive marketplace. Some key features we will consider are:
* WSO2 Stream Processor’s highly productive developer environment, with graphical drag-and-drop, and the Streaming SQL query editor
* The ability to process real-time queries that span from seconds to years
* Its interactive visualization and dashboarding features with improved widget generation
* Its ability to processing at scale via distributed deployments with full observability
* Default support for HTTP analytics, distributed message trace analytics, and Twitter analytics
Webinar Slides: Tungsten Replicator for Elasticsearch - Real-time data loadin...Continuent
Elasticsearch provides a quick and easy method to aggregate data, whether you want to use it for simplifying your search across multiple depots and databases, or as part of your analytics stack. Getting the data from your transactional engines into Elasticsearch is something that can be achieved within your application layer with all of the associated development and maintenance costs. Instead, offload the operation and simplify your deployment by using direct data replication to handle the insert, update and delete processes.
AGENDA
- Basic replication model
- How to concentrate data from multiple sources
- How the data is represented within Elasticsearch
- Customizations and configurations available to tailor the data format
- Filters and data modifications available
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
(MBL305) You Have Data from the Devices, Now What?: Getting the Value of the IoTAmazon Web Services
We are collecting tons of sensor data from billions of devices. How do you get the value from your IoT data sources? In this session, we will explore different strategies for collecting and ingesting data, understanding its frequency, and leveraging the potential of the cloud to analyze and predict trends and behavior to get most out of your deployed devices.
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)Amazon Web Services
In this workshop, we focus on visualizations of IoT data using ELK, Amazon Elasticsearch, Logstash, and Kibana or Amazon Kinesis. We will dive into how these visualizations can give you new capabilites and understanding when interacting with your device data from the context they provide on the world around them.
(MBL312) NEW! AWS IoT: Programming a Physical World w/ Shadows & RulesAmazon Web Services
AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. As an IoT developer, you would like to interact with the devices and information from these devices using applications. With AWS IoT topic-based rules and built-in integrations, you can route data from any device to AWS service like DynamoDB, Lambda etc and interact with the devices using topics. With AWS IoT Thing shadows, you can interact with the device using applications. Let's dive deep on how we can define the rules and also retrieve the last known and desired state of device using a device shadow in the cloud and leverage the true power of AWS IoT.
An online training course run by the FIWARE Foundation in conjunction with the i4Trust project. The core part of this virtual training camp (21-24 June 2021) covered all the necessary skills to develop smart solutions powered by FIWARE. It introduces the basis of Digital Twin programming using linked data concepts - JSON-LD and NGSI-LD and combines these with common smart data models for the sharing and augmentation of context data.
In addition, it covers the supplementary FIWARE technologies used to implement the common functions typically required when architecting a complete smart solution: Identity and Access Management (IAM) functions to secure access to digital twin data and functions enabling the interface with IoT and 3rd systems, or the connection with different tools for processing and monitoring current and historical big data.
This 12-hour online training course can be used to obtain a good understanding of FIWARE and NGSI Interfaces and form the basis of studying for the FIWARE expert certification.
Extending this core part, the virtual training camp adds introductory and deep-dive sessions on how FIWARE and iSHARE technologies, brought together under the umbrella of the i4Trust initiative, can be combined to provide the means for the creation of data spaces in which multiple organizations can exchange digital twin data in a trusted and efficient manner, collaborating in the creation of innovative services based on data sharing. In addition, SMEs and Digital Innovation Hubs (DIHs) that go through this complete training and are located in countries eligible under Horizon 2020 will be equipped with the necessary know-how to apply to the recently launched i4Trust Open Call.
Log Analytics with Amazon Elasticsearch Service - September Webinar SeriesAmazon Web Services
Elasticsearch is a popular open-source search and analytics engine used for log analytics. With Amazon Elasticsearch Service, you can easily run Elasticsearch on AWS. In this webinar, we will provide an overview of Amazon Elasticsearch Service and demo how to set up and configure an Amazon Elasticsearch domain for the log analytics use case.
Learning Objectives:
'- Understand Amazon Elasticsearch Service use cases and key features
- Learn how to secure your Amazon Elasticsearch cluster for access from Kibana and other plug-ins
- Learn best practices for scaling, monitoring, and troubleshooting Amazon Elasticsearch domains
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices in Enterprise environments can securely connect to the cloud over HTTP, MQTT and WebSockets. We will discuss how developers can use the AWS IoT Rules Engine and Thing Shadows. Finally, we will cover new features released since the launch of AWS IoT including integration with Amazon Machine Learning and ElasticSearch.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device using the protocol of their choice. We will discuss how devices can connect securely using MQTT and HTTP protocols, and how can developers and businesses can leverage the AWS IoT Rules Engine, Thing Shadows, and accelerate prototype development using AWS IoT Device SDKs. We will cover major hardware platforms from Arduino, Marvell, Dragonboard and MediaTek.
Making web stack tasty using CloudformationNicola Salvo
Building an automatic and repeatable Web Stack using AWS technologies with a focus on leveraging AWS Cloudformation to layer environments for easy change and reuse.
Ceilometer is a tool that collects usage and performance data, while Heat orchestrates complex deployments on top of OpenStack. Heat aims to autoscale its deployments, scaling up when they're running hot and scaling back when idle.
Ceilometer can access decisive data and trigger the appropriate actions in Heat. The result of these two OpenStack projects meeting is value creation in the form of an alarming API in Ceilometer and its consumption in Heat.
Slides presented at the Fall OpenStack Design Summit in Hong Kong
Concepts and examples of HATEOAS principles applied to M2M interface design, based on the proposed interaction model of the W3C Web of Things Interest Group.
A Modular Open Source Platform for Web Scale IoT InteroperabilityMichael Koster
IoT is a macro instance of the M-V-C pattern. Open source software components built from IoT Toolkit, Node-RED, and Dojo Toolkit create an open source stack for the Internet of Things
Friend Of A Thing and IoT Resource access control #OSIOTMichael Koster
Friend Of A Thing is a conceptual ontology for connecting the physical graph to the personal graph for the purpose of resource access control and management. FOAT helps integrate the Internet of Things with the Internet of People
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
1. Application Templates for IPSO
Smart Objects
Proposal for High Level Constructors
for IPSO Smart Objects and
Composite Smart Objects
2. IPSO Smart Objects
• Define simple objects like temperature sensor,
load controller, accelerometer
• Simple URI template of Object ID, Object
Instance, Resource provides good reusability
• A layer of constructor is needed to build more
complex models, e.g. a thermostat or coffee
maker
• Also need a layer of abstraction and human-readable
serialization
3. Object Models
• Typical object models are encapsulations – a
thermostat contains a temperature sensor, a
reference setting or set-point, and and a control
output.
• Need reusability and composability; a common
way to build a thermostat from IPSO
Temperature, Setpoint, and Control objects
• Also need a way to encapsulate settings and
attributes
4. Transclusion using Object Links, like WWW
8300 – IPSO PID Controller
3308/0
3306/0
Thermostat
On-Off
3303/0 - IPSO Temperature
3308 – IPSO Setpoint
3306 – IPSO Actuation
Input
Setpoint
Output
Application
3303/0
Mode
5. JSON Serialization
• Application Templates using JSON as a high level
constructor for object instances and high level
composite objects
• Controls object linking and encapsulation
structure
• Provides settings, e.g. LWM2M Observe
Attributes
• Provides additional core-link-format metadata for
discovery
• Provides semantic hooks for abstract models
• Does this in a layered way as needed
8. IPSO Application Templates
• Constructor for embedded objects
• Constructor for complex, composite objects
• Controls, e.g. LWM2M Observe Attributes
• Hypermedia template for embedded server
• Hypermedia template for client applications
• Semantic Annotation using core-link-format
metadata