The document provides an overview of Terraform and discusses why it was chosen over other infrastructure as code tools. It outlines an agenda covering Terraform installation, configuration, and use of data sources and resources to build example infrastructure including a VCN, internet gateway, subnets, and how to taint and destroy resources. The live demo then walks through setting up Terraform and using it to provision example OCI resources.
This document discusses the infrastructure provisioning tool Terraform. It can be used to provision resources like EC2 instances, storage, and DNS entries across multiple cloud providers. Terraform uses configuration files to define what infrastructure should be created and maintains state files to track changes. It generates execution plans to determine what changes need to be made and allows applying those changes to create, update or destroy infrastructure.
This document discusses Terraform, an open-source infrastructure as code tool. It begins by explaining how infrastructure can be defined and managed as code through services that have APIs. It then provides an overview of Terraform, including its core concepts of providers, resources, and data sources. The document demonstrates Terraform's declarative configuration syntax and process of planning and applying changes. It also covers features like modules, state management, data sources, and developing custom plugins.
Terraform modules and best-practices - September 2018Anton Babenko
Slides for my "Terraform modules and best-practices" talk on meetups during September 2018.
Some links from the slides:
https://www.terraform-best-practices.com/
https://cloudcraft.co/
https://github.com/terraform-aws-modules/
https://github.com/antonbabenko/modules.tf-lambda
Terraform is a tool for building, changing, and version controlling infrastructure safely and efficiently. It allows users to define and provision resources through code rather than manual configuration. Key concepts include variables, outputs, providers that interface with cloud platforms, reusable modules, and managing infrastructure through commands like plan, apply, and destroy. The presentation demonstrated Terraform's capabilities with a live demo and provided additional resources for learning more.
This document provides an overview and introduction to Terraform, including:
- Terraform is an open-source tool for building, changing, and versioning infrastructure safely and efficiently across multiple cloud providers and custom solutions.
- It discusses how Terraform compares to other tools like CloudFormation, Puppet, Chef, etc. and highlights some key Terraform facts like its versioning, community, and issue tracking on GitHub.
- The document provides instructions on getting started with Terraform by installing it and describes some common Terraform commands like apply, plan, and refresh.
- Finally, it briefly outlines some key Terraform features and example use cases like cloud app setup, multi
This document summarizes a meetup about infrastructure as code. It discusses the differences between treating infrastructure as "pets" versus "cattle", where pets are cared for individually and cattle are treated as disposable. When infrastructure is coded declaratively using tools like Terraform, the infrastructure can be version controlled, updated continuously, and rolled back like code. The meetup demonstrated setting up infrastructure on Azure using Terraform to define resources like virtual machines in code. Advanced techniques like storing state remotely and using modules were also discussed.
Building infrastructure as code using Terraform - DevOps KrakowAnton Babenko
This document provides an overview of a DevOps meetup on building infrastructure as code using Terraform. The agenda includes Terraform basics, frequent questions, and problems. The presenter then discusses Terraform modules, tools, and solutions. He addresses common questions like secrets handling and integration with other tools. Finally, he solicits questions from the audience on Terraform use cases and challenges.
This document provides an introduction and overview of Terraform, including what it is, why it is used, common use cases, and how it compares to CloudFormation. It then demonstrates hands-on examples of using Terraform to provision AWS resources like S3 buckets, EC2 instances, and CloudFront distributions. The workflow of initializing, planning, and applying changes with Terraform is also outlined.
In this hands-on workshop, we'll explore how to deploy resources to azure using terraform. First we'll peek into the basics of terraform (HCL language, CLI, providers, provisioners, modules, plans, state files etc).
Then in our hand-on exercise, we'll author terraform scripts to deploy virtual networks, virtual machines and app services to azure. Finally we'll walk through some azure tooling & integrations for terraform (azure cloud shell, hosted images in azure devops, azure marketplace images, VSCode extensions etc).
Author: Mithun Shanbhag
This document contains notes from a talk on advanced Terraform techniques. It discusses using Terraform for infrastructure as code to deploy resources across multiple environments like development, staging, and production. It also mentions techniques like separating code into modules, using variables to parameterize configurations, and integrating Terraform with other DevOps tools like Ansible.
This document introduces infrastructure as code (IaC) using Terraform and provides examples of deploying infrastructure on AWS including:
- A single EC2 instance
- A single web server
- A cluster of web servers using an Auto Scaling Group
- Adding a load balancer using an Elastic Load Balancer
It also discusses Terraform concepts and syntax like variables, resources, outputs, and interpolation. The target audience is people who deploy infrastructure on AWS or other clouds.
Terraform is a tool for provisioning and managing infrastructure safely and efficiently. It allows infrastructure to be defined as code so it can be versioned, shared, and treated like any other code. Key features include showing execution plans so changes are not a surprise, building a graph of dependencies to parallelize changes, and enabling complex automated changesets to infrastructure. Operators use Terraform for the benefits of infrastructure as code, managing multiple cloud platforms through a single workflow, and providing self-service infrastructure through reusable modules.
Infrastructure-as-Code (IaC) using TerraformAdin Ermie
Learn the benefits of Infrastructure-as-Code (IaC), what Terraform is and why people love it, along with a breakdown of the basics (including live demo deployments). Then wrap up with a comparison of Azure Resource Manager (ARM) templates versus Terraform, consider some best practices, and walk away with some key resources in your Terraform learning adventure.
Best Practices of Infrastructure as Code with TerraformDevOps.com
When your organization is moving to cloud, the infrastructure layer transitions from running dedicated servers at limited scale to a dynamic environment, where you can easily adjust to growing demand by spinning up thousands of servers and scaling them down when not in use.
The future of DevOps is infrastructure as code. Infrastructure as code supports the growth of infrastructure and provisioning requests. It treats infrastructure as software: code that can be re-used, tested, automated and version controlled. HashiCorp Terraform adopts infrastructure as code throughout its tool to prevent configuration drift, manage immutable infrastructure and much more!
Join this webinar to learn why Infrastructure as Code is the answer to managing large scale, distributed systems and service-oriented architectures. We will cover key use cases, a demo of how to use Infrastructure as Code to provision your infrastructure and more:
Agenda:
Intro to Infrastructure as Code: Challenges & Use cases
Writing Infrastructure as Code with Terraform
Collaborating with Teams on Infrastructure
This document discusses an introduction to Terraform infrastructure as code. It covers what Terraform is, its key features like being declarative and reusable, pros and cons like reducing human error but having a high entry barrier. It discusses major providers supported by Terraform including cloud providers, software, and monitoring tools. It concludes with basic steps for getting started with Terraform like installation, AWS profile setup, creating demo files, and executing commands to provision a VPC on AWS.
Terraform is an open source tool for building, changing, and versioning infrastructure safely and efficiently. It allows users to define and provision a datacenter infrastructure using a high-level configuration language known as HashiCorp Configuration Language. Some key features of Terraform include supporting multiple cloud providers and services, being declarative and reproducible, and maintaining infrastructure as code with immutable infrastructure. It works by defining configuration files that specify what resources need to be created. The configuration is written in HCL. Terraform uses these files to create and manage infrastructure resources like VMs, network, storage, containers and more across multiple cloud platforms.
As part of this presentation we covered basics of Terraform which is Infrastructure as code. It will helps to Devops teams to start with Terraform.
This document will be helpful for the development who wants to understand infrastructure as code concepts and if they want to understand the usability of terrform
This document provides an introduction to Terraform and its key concepts. It describes Terraform as a tool for building, changing, and versioning infrastructure safely and efficiently using declarative configuration files. The document outlines some of Terraform's main components like providers, data sources, resources, variables and outputs. It also discusses the benefits of structuring Terraform configurations using modules to improve reusability and manageability.
GraphPipe - Blazingly Fast Machine Learning Inference by Vish AbramsOracle Developers
GraphPipe is an open source protocol and collection of software designed to simplify machine learning model deployment and decouple it fromframework-specific model implementations.
This document provides an introduction and overview of using Terraform with Oracle Cloud Infrastructure (OCI). It discusses installing Terraform, configuring providers and resources, and demonstrates creating an OCI compute instance through Terraform. Key points include:
- Terraform is an infrastructure as code tool that can be used to provision and manage resources across multiple cloud providers, including OCI.
- The document walks through installing Terraform on Oracle Linux, configuring the OCI provider, and defining resources like compute instances in configuration files.
- A demo is shown creating an OCI compute instance named "TEST" through a Terraform plan and apply, validating the infrastructure provisioning.
TEC118 –How Do You Manage the Configuration of Your Environments from Metal ...Chris Kernaghan
The document discusses configuration management in IT infrastructure. It describes how configuration management has evolved from manual processes using tools like Excel and Word documents to more automated approaches using infrastructure as code. It provides examples of configuration management systems like Puppet and Chef and shows their architectures and how they can be used to configure operating systems, databases, and applications in a consistent, repeatable manner. The presentation includes demonstrations of Puppet and Chef.
This document discusses different options for managing multiple Akamai configurations, including consolidating configurations, using variables, a SaaS provider option, and a DevOps approach. It provides examples and summaries of how each option works, the benefits and limitations of each, and invites the audience to a discussion on using the Akamai CLI.
This document discusses using containers and databases together from development to production. It addresses challenges like data redundancy, dynamic cluster formation and healing when containers start and stop. It proposes that Aerospike database combined with containers can provide data persistence, scalability, self-organization and efficient resource utilization to meet these challenges. Examples are given of building an app with Python, Aerospike and Docker Compose in development and deploying it to production behind HAProxy, including scaling the web tier and Aerospike cluster using Docker networking and the Interlock plugin.
Using Databases and Containers From Development to DeploymentAerospike, Inc.
This document discusses using containers and databases together from development to production. It addresses challenges like data redundancy, dynamic cluster formation and healing when containers start and stop. It proposes that existing architectures are broken and presents Aerospike as a solution, being self-organizing, self-healing and optimized for flash storage. It demonstrates building an app with Python, Aerospike and Docker, deploying to a Swarm cluster, and scaling the database and web tiers through containers.
OpenStack + Cloud Foundry for the OpenStack Boston Meetupragss
The document provides an overview of Cloud Foundry, including:
- An introduction to Cloud Foundry, its architecture, and how to deploy and manage applications on it.
- Details on deploying applications and services, and how services are bound to applications.
- How Cloud Foundry provides health management of applications and the platform itself through high availability, monitoring, and logging.
- Additional resources for learning more about Cloud Foundry.
Infrastructure-as-Code, or IaC, has gained momentum in the past several years with the explosion of cloud computing. IaC helps automate and manage infrastructure provisioning of your cloud resources. Even small infrastructure footprints can benefit from IaC. It can become difficult to manage and maintain hundreds, if not thousands, of individual configuration settings in your infrastructure. Enter Terraform, an open-source IaC software tool created in 2014.
This presentation walks through the fundamentals of Terraform, and where and how it can benefit you in your cloud infrastructure provisioning. A live demo will showcase the provisioning of an entire Oracle Cloud infrastructure from scratch, in a matter of minutes, including compartments, networking, compute, and database, for both a development and production environments.
Spark Summit EU talk by Debasish Das and Pramod NarasimhaSpark Summit
This document describes how Apache Spark and Apache Lucene can be used together for near-real-time predictive model building. It discusses representing streaming device data in Lucene documents that are indexed for fast search and retrieval. A framework called Trapezium is used to build batch, streaming, and API services on top of Spark and Lucene. It shows how to index large datasets in Lucene efficiently using Spark and analyze retrieved devices to generate statistical and predictive models.
Virtual training Intro to InfluxDB & TelegrafInfluxData
How to setup InfluxDB & Telgraf to pull metrics into your InfluxDB. An introduction to querying data with InfluxQL. Learn more and download the open source version of Telegraf now: https://www.influxdata.com/time-series-platform/telegraf/
The document discusses NoSQL APIs in MySQL. It provides an overview of the memcached caching system and the history of the HandlerSocket protocol. It then describes the NoSQL interface introduced in MySQL 5.6, which allows for memcached-style operations on MySQL data. It notes that MySQL 5.7 further improved the performance and scalability of this interface.
Andrew Khoury goes over the issues that arise when organizations choose to adopt cloud computing, the evolution of techniques to handle them, and the overall change in workflow that must occur.
Why Open Source Works for DevOps MonitoringDevOps.com
Learn how to use open source tools for your performance monitoring of your Infrastructure, Application, & Cloud in a way that is faster, easier, and to scale. In this webinar we will provide you with step by step instruction on how to use InfluxDB, a complete Open Source Platform built from the ground up for metrics, events, and other time-based data. We will cover how to download & configure, how to collect metrics, build dashboards and alerts.
Integrating Existing C++ Libraries into PySpark with Esther KundinDatabricks
Bloomberg’s Machine Learning/Text Analysis team has developed many machine learning libraries for fast real-time sentiment analysis of incoming news stories. These models were developed using smaller training sets, implemented in C++ for minimal latency, and are currently running in production. To facilitate backtesting our production models across our full data set, we needed to be able to parallelize our workloads, while using the actual production code.
We also wanted to integrate the C++ code with PySpark and use it to run our models. In this talk, I will discuss some of the challenges we faced, decisions we made, and other options when dealing with integrating existing C++ code into a Spark system. The techniques we developed have been used successfully by our team multiple times and I am sure others will benefit from the gotchas that we were able to identify.
SUPERSEDED. First presented in November 2018 at DOAG 2018 conference, then in December at UKOUG Tech18 - slides have been updated slightly so see: https://www.slideshare.net/Veriton/platform-provisioning-automation-for-oracle-cloud
This document introduces infrastructure as code (IaC) and the tool Terraform. It defines IaC as using code to describe, create, and manage infrastructure. The key benefits of IaC are the ability to rebuild infrastructure at any time, ensure consistency, and have a repeatable process. Terraform is then introduced as an open-source tool for building, changing, and versioning infrastructure safely and efficiently across various cloud providers and SaaS services. The document outlines Terraform's workflow of writing configuration files, planning changes, and applying changes to infrastructure.
RIMA-Infrastructure as a code with Terraform.pptxMrJustbis
RIMA is a project that aims to automate infrastructure using modern DevOps strategies like CI/CD pipelines. It will implement infrastructure as code with Terraform and configure systems with Ansible. The goal is to reduce costs and failures by replacing manual processes with automated solutions for provisioning, configuration management, and code quality checks.
API Design – More than just a Payload DefinitionPhil Wilkins
The document discusses various aspects of API design that go beyond just the payload, such as documentation, security, support for adoption and change management. It emphasizes that API design involves more than just the technical specification, and should include additional documentation, SDKs, test frameworks, and approaches to support consumers. Well-designed APIs consider the full lifecycle and user experience, not just the implementation details.
This document discusses the 12 Factor App methodology for logging and whether it is still valid. It begins by summarizing the 12 Factor App guidelines for logging, which state that apps should write logs to stdout and let the execution environment handle routing and storage. It then discusses tools like Fluentd that can be used to aggregate logs from multiple sources and process them. The document considers different deployment approaches for Fluentd and how to address challenges of distributed systems. It concludes that the 12 Factor App guidelines around logging are still largely valid but should not be taken literally, and modern logging frameworks can help address challenges not envisioned when 12 Factor Apps were described.
Fluentd – Making Logging Easy & Effective in a Multi-cloud & Hybrid Environme...Phil Wilkins
Presentation I gave to Developer Week Europe 2022 on the use of Fluentd in Hybrid and distributed use cases.
This builds on previous Fluentd presentations
GitHub Actions - using Free Oracle Cloud Infrastructure (OCI)Phil Wilkins
This document provides an overview of implementing GitHub Actions pipelines on Oracle Cloud Infrastructure (OCI). It discusses how GitHub Actions works differently than Jenkins by breaking up pipelines into more granular tasks that can run highly parallelized. It also covers how to configure GitHub Actions runners on different platforms including OCI, other clouds, and on-premises. The document demonstrates how to structure a sample Java pipeline in GitHub Actions and discusses some advanced features like retrieving artifacts between jobs and using environment variables. It concludes by highlighting considerations for building GitHub Actions pipelines like security, orchestration approach, and cleanup of runners.
This document summarizes an Oracle Cloud Infrastructure (OCI) API and SDK presentation given by Phil Wilkins. It discusses how OCI provides SDKs and APIs to automate regular tasks in the cloud. It then provides examples of when to use the SDKs and APIs over other options like Terraform. The presentation also demonstrates querying for compute nodes using the CLI and creating policies for users using the Python SDK.
How fluentd fits into the modern software landscapePhil Wilkins
The document discusses using Fluentd to manage logs. It provides an overview of Fluentd, including how it can aggregate and route logs from multiple sources to various outputs like Elasticsearch. It also discusses approaches to scaling Fluentd in distributed environments like Kubernetes, including using sidecars. Real-world challenges with log management are addressed, such as the need to consolidate logs from many distributed services and support multiple analytics tools.
gRPC, GraphQL, REST - Which API Tech to use - API Conference Berlin oct 20Phil Wilkins
The document discusses different API technologies including gRPC, GraphQL, and REST. It provides overviews of each technology, describing their origins, key concepts, pros, and cons. gRPC was developed by Google and uses protocol buffers for messages and HTTP/2 for transport. GraphQL was created by Facebook and uses a query language for clients to specify the exact data they need. REST is the more established standard based on HTTP and uses URIs for identification of resources.
This document summarizes a presentation about using FluentD for end-to-end monitoring. It discusses the challenges of monitoring modern distributed applications and introduces FluentD as a highly pluggable framework that can capture logs and metrics from various sources and filter, aggregate, and route the data to various outputs like databases, alerting services, and visualization tools. It then provides examples of using FluentD to address challenges like consolidating logs from microservices and filtering critical events. Potential approaches for scaling FluentD in containerized environments are also discussed.
The document summarizes an Oracle developer meetup organized by Capgemini. It provides details about the meetup organizer Phil Wilkins, locations and organizers of similar meetups in different cities, typical agenda of the meetups, topics discussed in past meetups and their popularity, attendance statistics, and a potential future demonstration on controlling drones through APIs. The document aims to share learnings from previous meetups and gather feedback to improve future meetups.
The document provides information about Capgemini, a global consulting and outsourcing firm, and their partnership with Oracle. Some key details:
- Capgemini is one of the world's largest consulting firms with over 200,000 employees globally. They provide business transformation services across various industries.
- Capgemini has a long partnership with Oracle, including being a Cloud Premier Partner and Oracle Diamond Partner. They have expertise implementing various Oracle cloud services.
- The document outlines Capgemini's approach to digital transformation centered around APIs and microservices using Oracle API Platform and other PaaS solutions. It provides an example reference architecture for this.
Secrets of Custom API Policies on the Oracle API PlatformPhil Wilkins
This document provides an overview and summary of custom API policies on the Oracle Cloud. It discusses using Groovy and Java to create custom policies, the key elements of custom Java policies, demoing the tooling, and how UI elements are linked together. It also compares Groovy and Java for custom policies and provides several useful Oracle Cloud resources.
Oracle London Developer Meetup November 2018Phil Wilkins
Phil Wilkins and Luis Weir will host the #OracleDeveloperMeetup event on November 19th in London. The event will include talks on microservices in a monolith world and an overview of Terraform and infrastructure as code. Phil Wilkins is a technical architect specializing in integration and PaaS who has authored books and articles. The next meetup may take place on January 28th and cover Helidon and Java topics. The event is organized by Capgemini, a global consulting firm.
London Oracle Developer Meetup - June 18 - Drones with APIsPhil Wilkins
This document provides information about two individuals, Phil Wilkins and Luis Weir, who work for Capgemini. Phil Wilkins is a developer who has worked with Oracle technologies for nine years and has published books on integration and API platforms. Luis Weir is the CTO of Capgemini UK and an Oracle Ace Director who focuses on integration and platform as a service technologies. The document also advertises an upcoming event hosted by Luis Weir on streaming ETL using Oracle, Apache Kafka, and KSQL.
London Oracle Developer Meetup April 18Phil Wilkins
Phil Wilkins is a technical enterprise architect at Capgemini specializing in integration and platform as a service (PaaS). He has over 9 years of experience working with Oracle technologies covering both on-premises and cloud solutions. He has co-authored a book on Oracle Integration Cloud and is contributing to the development of over a dozen other technical books. Phil regularly publishes articles in various journals and blogs.
London Oracle Developer Meetup Presented by Luis Weir (@luisw19) and myself
The presentation focuses on APIs and microservices (a lot of discussion on the later)
OracleDeveloperMeetup - London 19-12-17Phil Wilkins
This document provides biographical information on Phil Wilkins and Luis Weir, who work as technical architects at Capgemini specializing in integration and platform as a service (PaaS). Some key details include:
- Phil Wilkins has over 9 years of experience working with Oracle technology and has co-authored books on Oracle Integration Cloud and API Platform.
- Luis Weir is an Oracle Ace Director and has received several awards for his contributions to Oracle PaaS communities. He is also the author of books on topics like Oracle API Management and Case Management Solutions.
- Both present regularly at industry events and contribute to the development of technical books and articles. They are also involved in beta programs for
Look at Oracle Integration Cloud – its relationship to ICS. Customer use Case...Phil Wilkins
This is a presentation about Oracle Integration Cloud (ICS) and Oracle Integration Cloud Service - the relationship between the two products. We also look at customer use cases and what lead to an ICS based recommendation and what would we recommend now OIC has been made available
It's your unstructured data: How to get your GenAI app to production (and spe...Zilliz
So you've successfully built a GenAI app POC for your company -- now comes the hard part: bringing it to production. Aparavi addresses the challenges of AI projects while addressing data privacy and PII. Our Service for RAG helps AI developers and data scientists to scale their app to 1000s to millions of users using corporate unstructured data. Aparavi’s AI Data Loader cleans, prepares and then loads only the relevant unstructured data for each AI project/app, enabling you to operationalize the creation of GenAI apps easily and accurately while giving you the time to focus on what you really want to do - building a great AI application with useful and relevant context. All within your environment and never having to share private corporate data with anyone - not even Aparavi.
The History of Embeddings & Multimodal EmbeddingsZilliz
Frank Liu will walk through the history of embeddings and how we got to the cool embedding models used today. He'll end with a demo on how multimodal RAG is used.
Tailored CRM Software Development for Enhanced Customer InsightsSynapseIndia
Gain deeper customer insights with our tailored CRM Software Development services. Our customized solutions help you understand customer behavior, preferences, and needs. Utilize our expertise to develop CRM systems that enhance customer engagement and support data-driven decision-making.
Retrieval Augmented Generation Evaluation with RagasZilliz
Retrieval Augmented Generation (RAG) enhances chatbots by incorporating custom data in the prompt. Using large language models (LLMs) as judge has gained prominence in modern RAG systems. This talk will demo Ragas, an open-source automation tool for RAG evaluations. Christy will talk about and demo evaluating a RAG pipeline using Milvus and RAG metrics like context F1-score and answer correctness.
EuroPython 2024 - Streamlining Testing in a Large Python CodebaseJimmy Lai
Maintaining code quality through effective testing becomes increasingly challenging as codebases expand and developer teams grow. In our rapidly expanding codebase, we encountered common obstacles such as increasing test suite execution time, slow test coverage reporting and delayed test startup. By leveraging innovative strategies using open-source tools, we achieved remarkable enhancements in testing efficiency and code quality.
As a result, in the past year, our test case volume increased by 8000, test coverage was elevated to 85%, and Continuous Integration (CI) test duration was maintained under 15 minute
The Zaitechno Handheld Raman Spectrometer is a powerful and portable tool for rapid, non-destructive chemical analysis. It utilizes Raman spectroscopy, a technique that analyzes the vibrational fingerprint of molecules to identify their chemical composition. This handheld instrument allows for on-site analysis of materials, making it ideal for a variety of applications, including:
Material identification: Identify unknown materials, minerals, and contaminants.
Quality control: Ensure the quality and consistency of raw materials and finished products.
Pharmaceutical analysis: Verify the identity and purity of pharmaceutical compounds.
Food safety testing: Detect contaminants and adulterants in food products.
Field analysis: Analyze materials in the field, such as during environmental monitoring or forensic investigations.
The Zaitechno Handheld Raman Spectrometer is easy to use and features a user-friendly interface. It is compact and lightweight, making it ideal for field applications. With its rapid analysis capabilities, the Zaitechno Handheld Raman Spectrometer can help you improve efficiency and productivity in your research or quality control workflows.
Garbage In, Garbage Out: Why poor data curation is killing your AI models (an...Zilliz
Enterprises have traditionally prioritized data quantity, assuming more is better for AI performance. However, a new reality is setting in: high-quality data, not just volume, is the key. This shift exposes a critical gap – many organizations struggle to understand their existing data and lack effective curation strategies and tools. This talk dives into these data challenges and explores the methods of automating data curation.
Vulnerability Management: A Comprehensive OverviewSteven Carlson
This talk will break down a modern approach to vulnerability management. The main focus is to find the root cause of software risk that may expose your organization to reputation damage. The presentation will be broken down into 3 main area, potential risk, occurrence, and exploitable risk. Each segment will help professionals understand why vulnerability management programs are so important.
Discovery Series - Zero to Hero - Task Mining Session 1DianaGray10
This session is focused on providing you with an introduction to task mining. We will go over different types of task mining and provide you with a real-world demo on each type of task mining in detail.
Mastering OnlyFans Clone App Development: Key Strategies for SuccessDavid Wilson
Dive into the critical elements of OnlyFans clone app development, from understanding user needs and designing engaging platforms to implementing robust monetization strategies and ensuring scalability. Discover how RichestSoft can guide you through the development process, offering expert insights and proven strategies to help you succeed in the competitive market of content monetization.
LeadMagnet IQ Review: Unlock the Secret to Effortless Traffic and Leads.pdfSelfMade bd
Imagine being able to generate high-quality traffic and leads effortlessly. Sounds like a dream, right? Well, it’s not. It’s called LeadMagnet IQ, and it’s here to revolutionize your marketing efforts.
(Note: Download the paper about this software. After that, click on [Click for Instant Access] inside the paper, and it will take you to the sales page of the product.)
COVID-19 and the Level of Cloud Computing Adoption: A Study of Sri Lankan Inf...AimanAthambawa1
The study’s main objective is to analyse the level of cloud computing adoption and usage during COVID-19 in Sri
Lanka, especially in Information Technology (IT) organisations. Using senior IT employees, this study investigates
what extent their organisation adopts with cloud computing, the level of cloud computing usage, current use of
cloud service model, usage of cloud deployment model, preferred cloud service providers and reasons for adopting
and not adopting cloud computing. The study also describes why cloud computing is a solution for new normal
situations and the cloud-enabled services used during and after the COVID-19 pandemic. The finding suggests
that 87.7% of the organisations currently use cloud-enabled services, whereas 12.3% do not and intend to adopt.
Considering the benefits, cloud computing is the solution post COVID-19 pandemic to run the business way
forward.
Intel Unveils Core Ultra 200V Lunar chip .pdfTech Guru
Intel has made a significant breakthrough in the world of processors with the introduction of its Core Ultra 200V mobile processor series, codenamed Lunar Lake. This innovative processor marks a fundamental shift in the way Intel creates processors, with a high degree of aggregation, including memory-on-package (MoP). The Core Ultra 300 MX series is designed to power thin-and-light devices that are capable of handling the latest AI applications, including Microsoft's Copilot+ experiences.
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...alexjohnson7307
In recent years, the integration of artificial intelligence (AI) in various sectors has revolutionized traditional practices, and healthcare is no exception. AI agents for healthcare have emerged as powerful tools, enhancing the efficiency, accuracy, and accessibility of medical services. This article explores the multifaceted role of AI agents in healthcare, shedding light on their applications, benefits, and the future they herald.
Rename some files to reorder them and show that the output is actually the same
Now do a yum –y install graphviz
Terraform graph
Terraform graph > cjph.dot
dot cjph.dot -Tsvg -o cjph.svg
FTP the svg back and view it
Terraform plan
Terraform graph > cjph2.dot
dot cjph2.dot -Tsvg -o cjph2.svg
FTP the svg back and view it