Build a Complex, Realtime Data Management App with Postgres 14!Jonathan Katz
Congratulations: you've been selected to build an application that will manage reservations for rooms!
On the surface, this sounds simple, but you are building a system for managing a high traffic reservation web page, so we know that a lot of people will be accessing the system. Therefore, we need to ensure that the system can handle all of the eager users that will be flooding the website checking to see what availability each room has.
Fortunately, PostgreSQL is prepared for this! And even better, we will be using Postgres 14 to make the problem even easier!
We will explore the following PostgreSQL features:
* Data types and their functionality, such as:
* Data/Time types
* Ranges / Multirnages
Indexes such as:
* GiST
* Common Table Expressions and Recursion (though multiranges will make things easier!)
* Set generating functions and LATERAL queries
* Functions and the PL/PGSQL
* Triggers
* Logical decoding and streaming
We will be writing our application primary with SQL, though we will sneak in a little bit of Python and using Kafka to demonstrate the power of logical decoding.
At the end of the presentation, we will have a working application, and you will be happy knowing that you provided a wonderful user experience for all users made possible by the innovation of PostgreSQL!
Anatomy of the libvirt virtualization library
http://www.ibm.com/developerworks/library/l-libvirt/
libvirt
http://libvirt.org/index.html
Scheduling
http://docs.openstack.org/icehouse/config-reference/content/section_compute-scheduler.html
Openstack Zoning – Region/Availability Zone/Host Aggregate
https://kimizhang.wordpress.com/2013/08/26/openstack-zoning-regionavailability-zonehost-aggregate/
Availability Zones and Host Aggregates in OpenStack Compute (Nova)
http://blog.russellbryant.net/2013/05/21/availability-zones-and-host-aggregates-in-openstack-compute-nova/
An Introduction to Droplet Metadata
https://www.digitalocean.com/community/tutorials/an-introduction-to-droplet-metadata
HOW WE USE CLOUDINIT IN OPENSTACK HEAT
http://sdake.io/2013/03/03/how-we-use-cloudinit-in-openstack-heat/
How to inject file/meta/ssh key/root password/userdata/config drive to a VM during nova boot
https://kimizhang.wordpress.com/2014/03/18/how-to-inject-filemetassh-keyroot-passworduserdataconfig-drive-to-a-vm-during-nova-boot/
Cloud-init
https://cloudinit.readthedocs.org/en/latest/
KubeCon Prometheus Salon -- Kubernetes metrics deep diveBob Cotton
Kubernetes generates a wealth of metrics. Some explicitly within the Kubernetes API server, the Kublet, and cAdvisor or implicitly by observing events such as the kube-state-metrics project. A subset of these metrics are used within Kubernetes itself to make scheduling decisions, however other metrics can be used to determine the overall health of the system or for capacity planning purposes.
Kubernetes exposes metrics from several places, some available internally, others through add-on projects. In this session you will learn about:
- Node level metrics, as exposed from the node_exporter
- Kublet metrics
- API server metrics
- etcd metrics
- cAdvisor metrics
- Metrics exposed from kube-state-metrics
Join this session to learn about how these metrics are calculated, their use within Kubernetes scheduling decisions and application in monitoring, alerting and capacity planning. This session will also cover the new metrics implementation/proposals that are to replace the cAdvisor metrics in Kubernetes 1.8.
Build a Complex, Realtime Data Management App with Postgres 14!Jonathan Katz
Congratulations: you've been selected to build an application that will manage reservations for rooms!
On the surface, this sounds simple, but you are building a system for managing a high traffic reservation web page, so we know that a lot of people will be accessing the system. Therefore, we need to ensure that the system can handle all of the eager users that will be flooding the website checking to see what availability each room has.
Fortunately, PostgreSQL is prepared for this! And even better, we will be using Postgres 14 to make the problem even easier!
We will explore the following PostgreSQL features:
* Data types and their functionality, such as:
* Data/Time types
* Ranges / Multirnages
Indexes such as:
* GiST
* Common Table Expressions and Recursion (though multiranges will make things easier!)
* Set generating functions and LATERAL queries
* Functions and the PL/PGSQL
* Triggers
* Logical decoding and streaming
We will be writing our application primary with SQL, though we will sneak in a little bit of Python and using Kafka to demonstrate the power of logical decoding.
At the end of the presentation, we will have a working application, and you will be happy knowing that you provided a wonderful user experience for all users made possible by the innovation of PostgreSQL!
Anatomy of the libvirt virtualization library
http://www.ibm.com/developerworks/library/l-libvirt/
libvirt
http://libvirt.org/index.html
Scheduling
http://docs.openstack.org/icehouse/config-reference/content/section_compute-scheduler.html
Openstack Zoning – Region/Availability Zone/Host Aggregate
https://kimizhang.wordpress.com/2013/08/26/openstack-zoning-regionavailability-zonehost-aggregate/
Availability Zones and Host Aggregates in OpenStack Compute (Nova)
http://blog.russellbryant.net/2013/05/21/availability-zones-and-host-aggregates-in-openstack-compute-nova/
An Introduction to Droplet Metadata
https://www.digitalocean.com/community/tutorials/an-introduction-to-droplet-metadata
HOW WE USE CLOUDINIT IN OPENSTACK HEAT
http://sdake.io/2013/03/03/how-we-use-cloudinit-in-openstack-heat/
How to inject file/meta/ssh key/root password/userdata/config drive to a VM during nova boot
https://kimizhang.wordpress.com/2014/03/18/how-to-inject-filemetassh-keyroot-passworduserdataconfig-drive-to-a-vm-during-nova-boot/
Cloud-init
https://cloudinit.readthedocs.org/en/latest/
KubeCon Prometheus Salon -- Kubernetes metrics deep diveBob Cotton
Kubernetes generates a wealth of metrics. Some explicitly within the Kubernetes API server, the Kublet, and cAdvisor or implicitly by observing events such as the kube-state-metrics project. A subset of these metrics are used within Kubernetes itself to make scheduling decisions, however other metrics can be used to determine the overall health of the system or for capacity planning purposes.
Kubernetes exposes metrics from several places, some available internally, others through add-on projects. In this session you will learn about:
- Node level metrics, as exposed from the node_exporter
- Kublet metrics
- API server metrics
- etcd metrics
- cAdvisor metrics
- Metrics exposed from kube-state-metrics
Join this session to learn about how these metrics are calculated, their use within Kubernetes scheduling decisions and application in monitoring, alerting and capacity planning. This session will also cover the new metrics implementation/proposals that are to replace the cAdvisor metrics in Kubernetes 1.8.
Kubernetes Basis: Pods, Deployments, and ServicesJian-Kai Wang
Kubernetes is a container management platform and empowers the scalability to the container. In this repository, we address the issues of how to use Kubernetes with real cases. We start from the basic objects in Kubernetes, Pods, deployments, and Services. This repository is also a tutorial for those with advanced containerization skills trying to step into the Kubernetes. We also provide several YAML examples for those looking for quickly deploying services. Please enjoy it and let's start the journey to Kubernetes.
A look at some of the ways available to deploy Postgres in a Kubernetes cloud environment, either in small scale using simple configurations, or in larger scale using tools such as Helm charts and the Crunchy PostgreSQL Operator. A short introduction to Kubernetes will be given to explain the concepts involved, followed by examples from each deployment method and observations on the key differences.
- What is NOVA ?
- NOVA architecture
- How instance are spawned in Openstack ?
- Interaction of nova with other openstack projects like neutron, glance and cinder.
Automated Application Management with SaltStackinovex GmbH
SaltStack is a new System Management Platform that provides various automations for the lifecycle of systems (HW/VMs). This makes it possible to trigger routines based on specific events using Salt Reactor. The event-based orchestration component of SaltStack recognizes f.e. the adding of new Salt minions (agents) in the Salt host inventory/database, the start of minions after the first system booting, the execution of any (distributed) commands (local or master-triggered) and much more. You can use this framework to provision newly created hosts/VMs with packages and configuration files, or to fully automate the rollout/deployment of new software releases and pre/post actions (DB backup, schema update, removal von temporary files, etc.).
Event: inovex Meetup Köln, 08.06.2016
Speaker: Arnold Bechtoldt
weitere Tech-Vorträge: https://www.inovex.de/de/content-pool/vortraege/
NetflixOSS Season 2 Episode 2 Meetup, Reactive/Async theme. Lightning talks by Netflix engineers, as well as guest speakers from Square, Couchbase and Typesafe.
Microservices @ Work - A Practice Report of Developing MicroservicesQAware GmbH
Cloud Native Night October 2016, Mainz: Talk by Simon Bäumler (Technical Chief Designer at QAware).
Join our Meetup: www.meetup.com/cloud-native-night
Abstract: This talk takes a practice oriented approach to examine microservice oriented architecture. It will show two real systems, one build from scratch in a microservice architecture, the other migrated from a monolithic system to a microservice architecture.
With the example of these two systems the pittfalls, advantages and lessons learned using microservice oriented architectures will be discussed.
While both systems use the java stack, including spring boot and spring cloud many topics will be kept general and will be of interest for all developers.
In this meetup, Liran Cohen, Cloud platform & DevOps Team Leader, will talk about some of Kubernetes key concepts. We will learn about the architecture of the system; the different resources available in the system; the problems it’s trying to solve, and the model that it uses to manage containerized application deployments.
EFK Stack이란 ElasticSearch, Fluentd, Kibana라는 오픈소스의 조합으로, 방대한 양의 데이터를 신속하고 실시간으로 수집/저장/분석/시각화 할 수 있는 솔루션입니다. 특히 컨테이너 환경에서 로그 수집을 위해 주로 사용되는 기술 스택입니다.
Elasitc Stack에 대한 소개와 EFK Stack 설치 방법에 대해 설명합니다.
Kubernetes advanced sheduling
- Taint and tolerant
- Affinity (Node & inter pod)
Learn how to place Pod like (same or different) node, rack, zone, region
Introduction to ZooKeeper - TriHUG May 22, 2012mumrah
Presentation given at TriHUG (Triangle Hadoop User Group) on May 22, 2012. Gives a basic overview of Apache ZooKeeper as well as some common use cases, 3rd party libraries, and "gotchas"
Demo code available at https://github.com/mumrah/trihug-zookeeper-demo
Powering Microservices with Docker, Kubernetes, Kafka, & MongoDBMongoDB
This session introduced technologies such as Docker, Kubernetes, and Kafka, which are driving the microservices revolution. Learn about containers and orchestration – and most importantly, how to exploit them for stateful services such as MongoDB.
What You Will Learn:
* Why organizations are choosing to use microservice architectures, what benefits they deliver, and when they should – or shouldn't – be used.
* Technologies that are used to build microservices – including containers, orchestration, and messaging systems.
* Why MongoDB is a good fit for microservices and what special steps need to be taken to make them work well together.
Challenges in a Microservices Age: Monitoring, Logging and Tracing on Red Hat...Martin Etmajer
Until recently, applications ran on a handful of carefully curated technologies for years to come, deployments were static and teams siloed. In the microservices age, teams are cross-functional, pick the technologies they consider to work best for them, and are held accountable for what they produce. Application deployments are fine-grained, frequent, scalable and fully automated. What a shift and what a challenge for monitoring such environments! In this presentation, you'll learn how to obtain insights from your OpenShift environment by exploring various open-source monitoring, logging, and tracing technologies, including Elasticsearch, Fluentd, Hawkular, Heapster, Jolokia, Kibana, OpenTracing, Prometheus and ZipKin.
Our cloud-native environments are more complex than ever before! So how can we ensure that the applications we’re deploying to them are behaving as we intended them to? This is where effective observability is crucial. It enables us to monitor our applications in real-time and analyse and diagnose their behaviour in the cloud. However, until recently, we were lacking the standardization to ensure our observability solutions were applicable across different platforms and technologies. In this session, we’ll delve into what effective observability really means, exploring open source technologies and specifications, like OpenTelemetry, that can help us to achieve this while ensuring our applications remain flexible and portable.
Kubernetes Basis: Pods, Deployments, and ServicesJian-Kai Wang
Kubernetes is a container management platform and empowers the scalability to the container. In this repository, we address the issues of how to use Kubernetes with real cases. We start from the basic objects in Kubernetes, Pods, deployments, and Services. This repository is also a tutorial for those with advanced containerization skills trying to step into the Kubernetes. We also provide several YAML examples for those looking for quickly deploying services. Please enjoy it and let's start the journey to Kubernetes.
A look at some of the ways available to deploy Postgres in a Kubernetes cloud environment, either in small scale using simple configurations, or in larger scale using tools such as Helm charts and the Crunchy PostgreSQL Operator. A short introduction to Kubernetes will be given to explain the concepts involved, followed by examples from each deployment method and observations on the key differences.
- What is NOVA ?
- NOVA architecture
- How instance are spawned in Openstack ?
- Interaction of nova with other openstack projects like neutron, glance and cinder.
Automated Application Management with SaltStackinovex GmbH
SaltStack is a new System Management Platform that provides various automations for the lifecycle of systems (HW/VMs). This makes it possible to trigger routines based on specific events using Salt Reactor. The event-based orchestration component of SaltStack recognizes f.e. the adding of new Salt minions (agents) in the Salt host inventory/database, the start of minions after the first system booting, the execution of any (distributed) commands (local or master-triggered) and much more. You can use this framework to provision newly created hosts/VMs with packages and configuration files, or to fully automate the rollout/deployment of new software releases and pre/post actions (DB backup, schema update, removal von temporary files, etc.).
Event: inovex Meetup Köln, 08.06.2016
Speaker: Arnold Bechtoldt
weitere Tech-Vorträge: https://www.inovex.de/de/content-pool/vortraege/
NetflixOSS Season 2 Episode 2 Meetup, Reactive/Async theme. Lightning talks by Netflix engineers, as well as guest speakers from Square, Couchbase and Typesafe.
Microservices @ Work - A Practice Report of Developing MicroservicesQAware GmbH
Cloud Native Night October 2016, Mainz: Talk by Simon Bäumler (Technical Chief Designer at QAware).
Join our Meetup: www.meetup.com/cloud-native-night
Abstract: This talk takes a practice oriented approach to examine microservice oriented architecture. It will show two real systems, one build from scratch in a microservice architecture, the other migrated from a monolithic system to a microservice architecture.
With the example of these two systems the pittfalls, advantages and lessons learned using microservice oriented architectures will be discussed.
While both systems use the java stack, including spring boot and spring cloud many topics will be kept general and will be of interest for all developers.
In this meetup, Liran Cohen, Cloud platform & DevOps Team Leader, will talk about some of Kubernetes key concepts. We will learn about the architecture of the system; the different resources available in the system; the problems it’s trying to solve, and the model that it uses to manage containerized application deployments.
EFK Stack이란 ElasticSearch, Fluentd, Kibana라는 오픈소스의 조합으로, 방대한 양의 데이터를 신속하고 실시간으로 수집/저장/분석/시각화 할 수 있는 솔루션입니다. 특히 컨테이너 환경에서 로그 수집을 위해 주로 사용되는 기술 스택입니다.
Elasitc Stack에 대한 소개와 EFK Stack 설치 방법에 대해 설명합니다.
Kubernetes advanced sheduling
- Taint and tolerant
- Affinity (Node & inter pod)
Learn how to place Pod like (same or different) node, rack, zone, region
Introduction to ZooKeeper - TriHUG May 22, 2012mumrah
Presentation given at TriHUG (Triangle Hadoop User Group) on May 22, 2012. Gives a basic overview of Apache ZooKeeper as well as some common use cases, 3rd party libraries, and "gotchas"
Demo code available at https://github.com/mumrah/trihug-zookeeper-demo
Powering Microservices with Docker, Kubernetes, Kafka, & MongoDBMongoDB
This session introduced technologies such as Docker, Kubernetes, and Kafka, which are driving the microservices revolution. Learn about containers and orchestration – and most importantly, how to exploit them for stateful services such as MongoDB.
What You Will Learn:
* Why organizations are choosing to use microservice architectures, what benefits they deliver, and when they should – or shouldn't – be used.
* Technologies that are used to build microservices – including containers, orchestration, and messaging systems.
* Why MongoDB is a good fit for microservices and what special steps need to be taken to make them work well together.
Challenges in a Microservices Age: Monitoring, Logging and Tracing on Red Hat...Martin Etmajer
Until recently, applications ran on a handful of carefully curated technologies for years to come, deployments were static and teams siloed. In the microservices age, teams are cross-functional, pick the technologies they consider to work best for them, and are held accountable for what they produce. Application deployments are fine-grained, frequent, scalable and fully automated. What a shift and what a challenge for monitoring such environments! In this presentation, you'll learn how to obtain insights from your OpenShift environment by exploring various open-source monitoring, logging, and tracing technologies, including Elasticsearch, Fluentd, Hawkular, Heapster, Jolokia, Kibana, OpenTracing, Prometheus and ZipKin.
Our cloud-native environments are more complex than ever before! So how can we ensure that the applications we’re deploying to them are behaving as we intended them to? This is where effective observability is crucial. It enables us to monitor our applications in real-time and analyse and diagnose their behaviour in the cloud. However, until recently, we were lacking the standardization to ensure our observability solutions were applicable across different platforms and technologies. In this session, we’ll delve into what effective observability really means, exploring open source technologies and specifications, like OpenTelemetry, that can help us to achieve this while ensuring our applications remain flexible and portable.
Monitoring in Big Data Platform - Albert Lewandowski, GetInDataGetInData
Did you like it? Check out our blog to stay up to date: https://getindata.com/blog
The webinar was organized by GetinData on 2020. During the webinar we explaned the concept of monitoring and observability with focus on data analytics platforms.
Watch more here: https://www.youtube.com/watch?v=qSOlEN5XBQc
Whitepaper - Monitoring ang Observability for Data Platform: https://getindata.com/blog/white-paper-big-data-monitoring-observability-data-platform/
Speaker: Albert Lewandowski
Linkedin: https://www.linkedin.com/in/albert-lewandowski/
___
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
OpenSource API Server based on Node.js API framework built on supported Node.js platform with Tooling and DevOps. Use cases are Omni-channel API Server, Mobile Backend as a Service (mBaaS) or Next Generation Enterprise Service Bus. Key functionality include built in enterprise connectors, ORM, Offline Sync, Mobile and JS SDKs, Isomorphic JavaScript and Graphical API creation tool.
In this Java Hibernate Training session, you will learn Integrating Struts with Hibernate. Topics covered in this session are:
• Struts 2
• Struts Action Class
• Validation
• Control Tags
• Data Tags
For more information, visit this link:
https://www.mindsmapped.com/courses/software-development/learn-hibernate-fundamentals-from-scratch/
This presentation on "Monitoring on Kubernetes using Prometheus" was made by Chandresh Pancholi on 9th June Cloud Native meetup in Bridgei2i Analytics in Bangalore
Kubernetes for java developers - Tutorial at Oracle Code One 2018Anthony Dahanne
You’re a Java developer? Already familiar with Docker? Want to know more about Kubernetes and its ecosystem for developers? During this session, you’ll get familiar with core Kubernetes concepts (pods, deployments, services, volumes, and so on) before seeing the most-popular and most-productive Kubernetes tools in action, with a special focus on Java development. By the end of the session, you’ll have a better understanding of how you can leverage Kubernetes to speed up your Java deployments on-premises or to any cloud.
Build cloud native solution using open source Nitesh Jadhav
Build cloud native solution using open source. I have tried to give a high level overview on How to build Cloud Native using CNCF graduated software's which are tested, proven and having many reference case studies and partner support for deployment
OSCON 2014 - API Ecosystem with Scala, Scalatra, and Swagger at NetflixManish Pandit
In this talk I’d like to introduce the Scala-based API stack at Partner Innovation Group at Netflix. After seeing a massive growth in the business model and the device ecosystem, we needed a system that could scale and be flexible at the same time. Scala provided the answer and we started with a basic set of APIs which, since then, has evolved towards complex but flexible business flows. Supporting metadata for over hundreds of brands and thousands of devices, the API development has followed a well thought-out, test-driven approach, git-flow, and what most API developers dread – documentation. I will talk about the architecture of the RESTful APIs, and the development + deployment process. We use Netflix-OSS components heavily in the architecture and cloud deployment, so I will cover them as well.
Swagger is what we used for type-safe documentation, which is really easy to use and integrate. I will briefly talk about customizations we’ve done to Swagger in order to make it far more usable at Netflix.
Throughout this effort there were lessons to be learnt, and plenty of best practices and recommendations for anyone starting out to build RESTful APIs, regardless of the platform or stack of choice. It’d be a great opportunity for me to walk through the architecture, and talk about the various components, technologies, and practices that are seeing increasing adoption in the modern, API driven landscape.
In this session you will learn:
1. Introduction to Struts Framework
2. Features
3. Evolution
4. Struts Demo
5. Declarative validation
6. Architecture
7. Validators
8. Interceptors
MeetUp Monitoring with Prometheus and Grafana (September 2018)Lucas Jellema
This presentation introduces the concept of monitoring - focusing on why and how and finally on the tools to use. It introduces Prometheus (metrics gathering, processing, alerting), application instrumentation and Prometheus exporters and finally it introduces Grafana as a common companion for dashboarding, alerting and notifications. This presentations also introduces the handson workshop - for which materials are available from https://github.com/lucasjellema/monitoring-workshop-prometheus-grafana
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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
-------------------------------------------
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
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
2. About Me
김진웅 @ddiiwoong
Cloud Native Platform Architect @SK C&C
Interested in Kubernetes and Serverless(FaaS), Dev(Data)Ops, SRE, ML/DL
3. Who am I and Where am I?
DevOps?
Data Center Virtual Machine Container Serverless
Weeks Minutes Seconds Milliseconds
Evolution
1단계 : Self-manage 2단계 : Managed 3단계 : Fully-Managed
OS설치/운영,
개발플랫폼 패치,
백업 등 직접관리
서버 기반이나
관리형 서비스로 제공
(설정, Scale 관리)
서버관리 없는 서비스
(No-Ops)
4. Complexity is inevitable
Microservices Containerization Orchestration Service Mesh
Bare Metal
Kernel
Network Stack
Cloud Stack
Libraries
Frameworks
Your Codes
7. Metrics
응용 프로그램 및 서비스의 성능과 품질을 측정하는 데 도움이 되는 정량 데이터
• Database, API Latency
• Request content length
• Open file descriptor
• Cache hit/miss
8. Tracing
서비스 요청에 대한 애플리케이션 또는 서비스 구조 확인
모든 서비스들 간 데이터 흐름을 시각화하여 아키텍처상의 병목 현상을 파악
9. OpenCensus
A Stats Collection and Distributed Tracing Framework
backed by Google and Microsoft since Jan. 2018
A single distribution of libraries that
automatically collect traces and metrics
from your app, Display them locally, and
send them to any backend.
(Prometheus, Stackdriver, Zipkin, Jaeger...)
10. VM or Kube Pod
VM or Kube Pod
OpenCensus Libraries
Auth.
service
Catalog
service
Search
service
FrontEnd
service
oc
lib
oc
lib
oc
lib
oc
lib
oc agent
oc agent
metrics +
tracing
backends
oc
collector
13. OpenCensus Agent Benefit
• 단일 exporter 관리
• 배포의 민주화 (Democratizes)
Backend로 보내는 선택은 개발자의 몫
• 최초 Instrumentation 적용후 언제든지 원하는 Backend로 변경가능
Prometheus 에서 Stackdriver로, Zipkin 에서 Jaeger로
• 오버헤드 감소
application 재시작 없이 ocagent 만 재시작
• 관측가능한 signal 통합 (pass-through)
Routing - Zipkin, Jaeger, Prometheus data
polyglot and poly-backend 관리 용이
• 관리 Port 최소화
TCP 55678
15. OpenCensus Collector Benefit
• 단일 exporter 관리
• 배포의 민주화 (Democratizes)
Backend로 보내는 선택은 개발자의 몫
• 최초 Instrumentation 적용후 언제든지 원하는 Backend로 변경가능
Prometheus 에서 Stackdriver로, Zipkin 에서 Jaeger로
• Egress Point 제한
Application 내 다수의 API Key, TLS관리 일원화
• Backend까지 data 보장
built-in buffering and retry capabilities
• Intelligent Sampling 기능 활용 (percentile, 백분위)
• Annotation
span이 수집되는 동안 metadata 추가 가능
• Tagging 가능
span에 포함된 tag override, remove 가능
16. OpenCensus Collector Performance
• 1 collector (HA 구성) - 24 Cores, 48 GB
• 17.3 billion spans/day (200K spans/second)
• 57 TB data a day (3.3KB per span)
• 0 dropped spans
• https://cloud.withgoogle.com/next/sf/sessions?session=268946-130602
17. Demo - Hipster Shop
Hipster Shop: Cloud-Native Microservices Demo Application
• 상품을 검색 및 구매할 수 있는 웹 기반 이커머스 Application
18. Demo - Hipster Shop
Hipster Shop: Cloud-Native Microservices Demo Application
• 모든 통신은 gRPC, 외부 통신만 HTTP
• Polygot : Go, C#, Node.js, Python, Java
• Istio 구성 가능
• Skaffold 로 배포 (https://skaffold.dev/)
• Backend Embedded
Stackdriver - https://github.com/GoogleCloudPlatform/microservices-demo
Prometheus - https://github.com/census-ecosystem/opencensus-microservices-demo
• Load Generator(Locust) 가 지속적으로 서비스 호출
• 특정 서비스(productcatalog)에서 GetProduct 함수 Latency 지연 발생
• Backend(Prometheus/Jaeger) 도구로 원인 파악 후 코드 수정 및 재배포
31. OpenTracing
Vendor-neutral APIs and instrumentation for distributed tracing.
Open standard for distributed tracing.
Libraries available in 9 languages
(Go, JavaScript, Java, Python, Ruby, PHP,
Objective-C, C++, C#)