Automating JEE Deployment process
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This document discusses the challenges of automating JEE deployment processes in enterprises. It notes that manual or homegrown scripted deployments are prone to errors and inconsistencies. Deployments require configuring multiple categories like installing applications, configuring resources and middleware, and maintaining order. Automating this process through a deployment tool can help standardize steps, reduce costs, prevent configuration drift between environments, and lower downtime risks. The document advocates starting with one deployment automation product and automating deployments incrementally.
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
June Patch Tuesday
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Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
dbms calicut university B. sc Cs 4th sem.pdf
Its a seminar ppt on database management system using sql
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Trusted Execution Environment for Decentralized Process Mining
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Azure API Management to expose backend services securely
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AWS Cloud Cost Optimization Presentation.pptx
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
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The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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6. Ideas and approaches to help build your organization's AI strategy.
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Automating JEE Deployment process
- 1. Automating JEE Deployment Process Vikas Hazrati www.xebiaindia.com
- 2. Challenges Of Deployment Are Getting Tough Everyday
- 3. Enterprises and System Administrators are Juggling with Deployment Challenges
- 4. On Average Enterprise is Spending $852,187 Per Year for Deployments
- 5. Bringing Down This Cost is an Achievable Goal
- 6. Automating the Deployment Process is the Key
- 7. ===== Act II, Scene 1
- 8. Earlier Those were the days
- 9. Enterprise JEE Deployment is a Complex Task
- 10. For Each Application There are Multiple Deployment Categories
- 11. Configuring the Deployment Categories is an Involved Process Installing the Application Configuring Resources Configuring Middleware Repeating the same Components Steps across environments Starting / Stopping Components Maintaining the Order
- 12. Support for Multiple Deployment Categories Report on the status of each category
- 13. Amount of Infrastructure Increases as Business Grows
- 14. Data Centers are Around the World
- 15. Manual Deployment or Home Grown Scripts Often Fall Short
- 16. Suggest Deployment steps based on different Easy to write / plugin deployment scripts Deployment categories Suggest Deployment steps based on different Deployment categories Standard deployment steps should be overridable
- 17. Workload Associated with Managing Applications is Growing
- 18. Reasons for Increase in Workload Complexity is Little or no Tooling is Often Automation limited ignored
- 19. ===== Act II, Scene 2
- 20. Enterprise JEE Deployment is Expensive
- 21. Large Number of Specialized Staff Required for Deployment and Script Writing
- 22. AD Can Help by Reducing the Cost
- 23. Time Spent on Configuration Issues is High
- 24. Should have the capability to use separate configuration files for DTAP environments
- 25. Downtime Leads to Lost Money
- 26. ===== Act II, Scene 3
- 27. Enterprise JEE Deployment is Unpredictable
- 28. Too Much Dependent on People
- 30. Should show the current state of the deployment Preview of changes Should maintain a history of deployment changes Log all changes
- 31. Should show the current state of the deployment Version the configuration changes in source control Transaction Boundries and Rollback ???
- 42. ===== Act III
- 43. Enterprise Deployments are Marred With Challenges and High Costs
- 44. Deployment Automation is the Key to IT's Future
- 45. Start With One of the Products and Take One Bite at a Time
- 46. Automating Deployment – Makes You Feel Better