This document contains an assignment that is due on April 5th or 6th depending on the class. It consists of 8 questions involving logical expressions and formulas. The questions cover topics like identifying propositions, writing logical expressions using operators, simplifying formulas, constructing formulas from truth tables, proving equivalences, and using resolution to prove statements.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2. Q1. Which of the following are proposition? (You answer should be T/F.)
1. y < 20
2. It is sunny.
3. open the closet.
4. 10 > 5
5. a2 + b2 = c2
Q2. Let H=”Kim is smart”, C=”Kim is cunning”, O=”Kim is intelligent”. Rewrite the following using the logical operators ∧, ∨, and ¬
1. Kim is smart and cunning but not intelligent.
2. Kim is either smart or cunning or both.
3. Kim is either smart or cunning but not both.
4. Kim is neither smart, cunning nor intelligent.
5. Kim is not both smart and cunning, but he is intelligent.
6. Kim is intelligent but not cunning nor smart.
Q3. Simplify the following logical formula
1. p ⊕ q
2. p → ¬q
3. (¬p ↔ ¬q) ∧ q
4. ¬(p → q)
Q4. Construct logical formula for the truth table below. After constructing the logical formula, simplify it.
a.
a b c f(a,b,c)
T T T T
T T F F
T F T F
T F F F
F T T F
F T F F
F F T T
F F F T
b.
a b c f(a,b,c)
T T T T
T T F F
T F T T
T F F T
F T T T
F T F F
F F T T
F F F F
Q5. Prove the equivalence of following logical formula? You answer should be T/F. You answer should also show why it is T/F. Show each step.
1. (P ∧ Q) ∨ R and P ∧ (Q ∨ R)
2. ¬(P ⊕ Q) and P ↔ Q
3. ¬(P ∨ Q ∨ R) and ¬P ∧ ¬Q ∧ ¬R
4. P ∧ (P ∨ Q) and P ∨ (P ∧ Q)
5. (P ∧ Q) ∨ (Q ∧ R) and Q ∨ (P ∧ R)
Q6. Simplify the following logical formula.
1. ¬((¬P ∧ (¬Q ∨ P )) ∨ ¬R).
2. (¬P ∧ ¬(P ∧ R)) ∨ ((Q ∨ (Q ∧ R)) ∧ (Q ∨ S)).
3. ((¬P ∧ Q) ∧ (Q ∧ R)) ∧ ¬Q.
4. ¬(¬Q ∧ ¬(¬Q ∨ S)) ∨ (Q ∧ (r → r)).
5. ¬P ∧ (P ∨ Q) ∨ (Q ∨ (P ∧ P )) ∧ (P ∨ ¬Q).
Q7. Simplify the following logical formula.
1. P → Q.
2. ¬Q → ¬P.
3. Q → P.
4. ¬P → ¬Q.
5. ¬(P → Q.)
Q8. Prove the following using resolution.
1. ((A → B) → C) → (¬C → A)
2. ¬(¬P ∨ ¬Q) → ((P → R) ∧ (Q → R))
1