Charity's words make you think while Liz's words make you act, so when you combine them, you get one of the best meetups on Elite DevOps Performance, SRE and Observability topics – ever!
Google Meet recording stopped working, so this *noisy* DIY-copy is the best we got: https://youtu.be/geqoOg4WXcQ. Still, the video is worth your time because you will see how empathy, and simple focus shift
1) from Dev and Ops to your Users,
2) from APM tools to Observability,
can make your workdays more productive, enjoyable and meaningful.
To learn how to define your first SLO, go to Honeycomb's 3-part SRE Crash Course https://go.hny.co/serverlessToronto.
Intro to Vertex AI, unified MLOps platform for Data Scientists & ML EngineersDaniel Zivkovic
#MLOps is a hot buzzword, just like #DevOps before it. It sparked a gold rush for software vendors, so it's hard to choose the best tool for your needs. Vertex AI is a unified MLOps platform for the entire #AI #workflow on #GoogleCloud. It is the 3rd iteration of the Google Cloud #ML platform (since its original launch), and we think they did it right (this time).
That's why #ServerlessTO invited 2 AI/ML gurus from #GCP (Jarek Kazmierczak & Brian Kang) to introduce the #VertexAI you to.
The lecture recording with Q&A is at https://youtu.be/X1S7360ip-k
MEETUP "CODE-ALONG" RESOURCES
Vertex workbench - Managed and User-managed Notebooks
https://cloud.google.com/vertex-ai/docs/workbench/managed/quickstarts
Example that the training code was based on - Fashion MNIST dataset
https://www.tensorflow.org/tutorials/keras/classification
Hyperparameter tuning codelab
https://codelabs.developers.google.com/vertex_hyperparameter_tuning
Vertex pipeline codelabs
https://codelabs.developers.google.com/vertex-pipelines-intro
https://codelabs.developers.google.com/vertex-pipelines-custom-model
CI/CD slides
https://github.com/shivajid/MLOpsCICD/blob/master/presentation/AI%20Workshop%20Day4.pdf
CI/CD github example
https://github.com/shivajid/MLOpsCICD
Model monitoring example
https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/official/model_monitoring/model_monitoring.ipynb
Best practices for MLOps
https://cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning
https://cloud.google.com/resources/mlops-whitepaper
Official Vertex AI Github repository
https://github.com/GoogleCloudPlatform/vertex-ai-samples/
MEETUP CHAT LINKS
https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/notebook_template.ipynb
https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/master/notebooks/official/custom
https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/master/notebooks/community/sdk
https://cloud.google.com/architecture/ml-on-gcp-best-practices#model-deployment-and-serving
https://www.youtube.com/watch?v=ntBEQdD1IeQ&list=PLd31CCJlr9FrZazLqRg1Lxq7xw9b6VNP6&index=3
Top concerns that we hear from customers are “How can we release on-time?”, “How can we have a stable release?” We answer them in a simple one-liner, “Embrace DevOps”
Building The Next Generation Workplace Cisco Canada
Alan McGinty, Cisco Workplace Resources and Mark Miller, Cisco Global Collaboration Sales presents the next generation workplace at Cisco Connect Toronto 2015.
Intro to Vertex AI, unified MLOps platform for Data Scientists & ML EngineersDaniel Zivkovic
#MLOps is a hot buzzword, just like #DevOps before it. It sparked a gold rush for software vendors, so it's hard to choose the best tool for your needs. Vertex AI is a unified MLOps platform for the entire #AI #workflow on #GoogleCloud. It is the 3rd iteration of the Google Cloud #ML platform (since its original launch), and we think they did it right (this time).
That's why #ServerlessTO invited 2 AI/ML gurus from #GCP (Jarek Kazmierczak & Brian Kang) to introduce the #VertexAI you to.
The lecture recording with Q&A is at https://youtu.be/X1S7360ip-k
MEETUP "CODE-ALONG" RESOURCES
Vertex workbench - Managed and User-managed Notebooks
https://cloud.google.com/vertex-ai/docs/workbench/managed/quickstarts
Example that the training code was based on - Fashion MNIST dataset
https://www.tensorflow.org/tutorials/keras/classification
Hyperparameter tuning codelab
https://codelabs.developers.google.com/vertex_hyperparameter_tuning
Vertex pipeline codelabs
https://codelabs.developers.google.com/vertex-pipelines-intro
https://codelabs.developers.google.com/vertex-pipelines-custom-model
CI/CD slides
https://github.com/shivajid/MLOpsCICD/blob/master/presentation/AI%20Workshop%20Day4.pdf
CI/CD github example
https://github.com/shivajid/MLOpsCICD
Model monitoring example
https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/official/model_monitoring/model_monitoring.ipynb
Best practices for MLOps
https://cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning
https://cloud.google.com/resources/mlops-whitepaper
Official Vertex AI Github repository
https://github.com/GoogleCloudPlatform/vertex-ai-samples/
MEETUP CHAT LINKS
https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/notebook_template.ipynb
https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/master/notebooks/official/custom
https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/master/notebooks/community/sdk
https://cloud.google.com/architecture/ml-on-gcp-best-practices#model-deployment-and-serving
https://www.youtube.com/watch?v=ntBEQdD1IeQ&list=PLd31CCJlr9FrZazLqRg1Lxq7xw9b6VNP6&index=3
Top concerns that we hear from customers are “How can we release on-time?”, “How can we have a stable release?” We answer them in a simple one-liner, “Embrace DevOps”
Building The Next Generation Workplace Cisco Canada
Alan McGinty, Cisco Workplace Resources and Mark Miller, Cisco Global Collaboration Sales presents the next generation workplace at Cisco Connect Toronto 2015.
Build embedded and IoT solutions with Microsoft Windows IoT Core (BRK30077)Callon Campbell
Windows IoT is a family of products that enables rich edge devices and applications that can take full advantage of Azure IoT capabilities. We’ll explore the latest capabilities for Windows IoT, and then show how you can use all of your existing Windows development skills to create solutions ranging from fun hobby projects all the way through to critical Intelligent Edge solutions.
Nexaweb transforms growth-limiting PowerBuilder and VB applications into modern web solutions, accessible to anyone from anywhere. The Nexaweb modernization platform and risk eliminating fixed cost, fixed-time guarantee has helped hundreds of companies modernize applications and transform their business.
Enterprise-Ready Private and Hybrid Cloud Computing TodayRightScale
RightScale User Conference NYC 2011:
Enterprise-Ready Private and Hybrid Cloud Computing Today
Rich Wolski - Founder and CTO, Eucalyptus
In this session, we'll discuss the use of Eucalyptus and RightScale to build enterprise-grade cloud computing environments. By combining on-premise clouds with Amazon Web Services (AWS) through a common cloud management interface, Eucalyptus and AWS form a coherent platform for reliable and cost-effective enterprise cloud computing. The RightScale Cloud Management Platform delivers the high-level framework for cost-effectively automating and managing this ensemble of technologies.
CodeValue Architecture Next 2018 - Executive track dilemmas and solutions in...Erez PEDRO
Moderen Software projects are challenging to develop. Eran Stiller, Ronen Rubinfeld, and Erez Pedro from CodeValue show a method for conducting multidisciplinary product discovery.
IoT market description and solutions based on Microsoft technologies/products:
- IoT Central
- Accelerators
- Azure services (PaaS and IaaS)
Ex: IoT Hub, DPS, IoT Plug and Play, IoT Edge, Event Hubs, Stream Analytics, etc
Mobile SDK: Considerations & Best Practices LivePerson
Mobile SDKs are a great way to make your service or API easily consumable by the large number of developers out there looking for state of the art tools to make their apps stand out in the competitive marketplaces, but building a stable, compatible and successful SDK is quite a challenge.
In this talk we the technical and design challenges involved in developing an efficient mobile SDK that is highly compatible with its host mobile app, and the various considerations we took into account and the lessons we’ve learned while designing and building LivePerson’s native mobile SDK.
Here are latest DevOps trends in 2021 you should know. If you want any help regarding DevOps, visit https://www.impressico.com/services/offerings/devops-cloud-services/
http://stiller.co.il/blog/2014/01/upcoming-event-from-alm-to-devops/
How do companies like Microsoft, Twitter, Facebook and LinkedIn achieve high levels of execution which allow implementing hundreds and even thousands of lines of code every day, while maintaining a high & consistent level of performance, security and availability? How can the development and operation environments work together to create a meaningful competitive edge for the organization?
In an era where time-to-market and product quality have a critical meaning, the DevOps methodology offers simple and effective ways to shorten schedules, improve the product quality and maintain a competitive edge.
In this presentation, which is part of the "From ALM to DevOps" day, I explain and demonstrate the principles of DevOps in Windows Azure. Also demonstrated is the possible synchronization between Team Foundation Server (TFS) and Microsoft System Center (SCOM),
Cloud is the backend server that hosts IoT cloud application, Databases, Analytics Engine & IoT application. Learn about the Cloud Application development best practices & services.
https://www.embitel.com/iot-cloud-application-development
You are already the Duke of DevOps: you have a master in CI/CD, some feature teams including ops skills, your TTM rocks ! But you have some difficulties to scale it. You have some quality issues, Qos at risk. You are quick to adopt practices that: increase flexibility of development and velocity of deployment. An urgent question follows on the heels of these benefits: how much confidence we can have in the complex systems that we put into production? Let’s talk about the next hype of DevOps: SRE, error budget, continuous quality, observability, Chaos Engineering.
Build embedded and IoT solutions with Microsoft Windows IoT Core (BRK30077)Callon Campbell
Windows IoT is a family of products that enables rich edge devices and applications that can take full advantage of Azure IoT capabilities. We’ll explore the latest capabilities for Windows IoT, and then show how you can use all of your existing Windows development skills to create solutions ranging from fun hobby projects all the way through to critical Intelligent Edge solutions.
Nexaweb transforms growth-limiting PowerBuilder and VB applications into modern web solutions, accessible to anyone from anywhere. The Nexaweb modernization platform and risk eliminating fixed cost, fixed-time guarantee has helped hundreds of companies modernize applications and transform their business.
Enterprise-Ready Private and Hybrid Cloud Computing TodayRightScale
RightScale User Conference NYC 2011:
Enterprise-Ready Private and Hybrid Cloud Computing Today
Rich Wolski - Founder and CTO, Eucalyptus
In this session, we'll discuss the use of Eucalyptus and RightScale to build enterprise-grade cloud computing environments. By combining on-premise clouds with Amazon Web Services (AWS) through a common cloud management interface, Eucalyptus and AWS form a coherent platform for reliable and cost-effective enterprise cloud computing. The RightScale Cloud Management Platform delivers the high-level framework for cost-effectively automating and managing this ensemble of technologies.
CodeValue Architecture Next 2018 - Executive track dilemmas and solutions in...Erez PEDRO
Moderen Software projects are challenging to develop. Eran Stiller, Ronen Rubinfeld, and Erez Pedro from CodeValue show a method for conducting multidisciplinary product discovery.
IoT market description and solutions based on Microsoft technologies/products:
- IoT Central
- Accelerators
- Azure services (PaaS and IaaS)
Ex: IoT Hub, DPS, IoT Plug and Play, IoT Edge, Event Hubs, Stream Analytics, etc
Mobile SDK: Considerations & Best Practices LivePerson
Mobile SDKs are a great way to make your service or API easily consumable by the large number of developers out there looking for state of the art tools to make their apps stand out in the competitive marketplaces, but building a stable, compatible and successful SDK is quite a challenge.
In this talk we the technical and design challenges involved in developing an efficient mobile SDK that is highly compatible with its host mobile app, and the various considerations we took into account and the lessons we’ve learned while designing and building LivePerson’s native mobile SDK.
Here are latest DevOps trends in 2021 you should know. If you want any help regarding DevOps, visit https://www.impressico.com/services/offerings/devops-cloud-services/
http://stiller.co.il/blog/2014/01/upcoming-event-from-alm-to-devops/
How do companies like Microsoft, Twitter, Facebook and LinkedIn achieve high levels of execution which allow implementing hundreds and even thousands of lines of code every day, while maintaining a high & consistent level of performance, security and availability? How can the development and operation environments work together to create a meaningful competitive edge for the organization?
In an era where time-to-market and product quality have a critical meaning, the DevOps methodology offers simple and effective ways to shorten schedules, improve the product quality and maintain a competitive edge.
In this presentation, which is part of the "From ALM to DevOps" day, I explain and demonstrate the principles of DevOps in Windows Azure. Also demonstrated is the possible synchronization between Team Foundation Server (TFS) and Microsoft System Center (SCOM),
Cloud is the backend server that hosts IoT cloud application, Databases, Analytics Engine & IoT application. Learn about the Cloud Application development best practices & services.
https://www.embitel.com/iot-cloud-application-development
You are already the Duke of DevOps: you have a master in CI/CD, some feature teams including ops skills, your TTM rocks ! But you have some difficulties to scale it. You have some quality issues, Qos at risk. You are quick to adopt practices that: increase flexibility of development and velocity of deployment. An urgent question follows on the heels of these benefits: how much confidence we can have in the complex systems that we put into production? Let’s talk about the next hype of DevOps: SRE, error budget, continuous quality, observability, Chaos Engineering.
JAXLondon 2015 "DevOps and the Cloud: All Hail the (Developer) King"Daniel Bryant
Last year we talked about DevOps, what it was, why it was important and how to get started. Boy, was it scary. Now we’re wiser. More battle-scarred. The scale of the challenge for application writers exploiting cloud and DevOps is clearer, but so is the path forward. Understanding the DevOps approach is important but equally you must understand specific deployment technologies. How to exploit them and how they effect the design of applications. Whether creating simple applications or sophisticated microservice architectures many of the challenges are the same.
Presented at JAXLondon 2015 with Steve Poole
This slide is translated version. Originally it was written in Korean. (http://www.slideshare.net/saltynut/how-do-we-drive-tech-changes )
It describes how do we drive technical changes onto our organizations had used old-fashioned java combinations(Java 1.6+Spring 3.x+MyBatis) and monolithic architecture.
Key point is what we need to do to drive changes, and I'll discuss what we did during Phase1 and what we are doing at Phase 2 for architecture, frontend, backend, methodologies/process.
Phase1
- Architecture : Frontend / Backend Separation
- Frontend : Angular.js, Grunt, Bower
- Backend : Java 1.7/Spring4, ORM
- Methodology/Process : Scrum, Git
Phase2
- Architecture : Micro-Service Architecture(MSA)
- Frontend : Content Router, E2E Test
- Backend : Polyglot, Multi-Framework
- Methodology/Process : Scrum+JIRA, Git Branch Policy, Pair Programming, Code Workshop
How Microsoft ALM Tools Can Improve Your Bottom LineImaginet
Improved efficiencies, enhanced productivity, reduction of wasted time and effort, and improved team collaboration. Each of these benefits that result from adopting a successful ALM strategy will all help your bottom line. Come find out how at this free webinar!
Abstract
The idea of this talk is to help development teams to make correct architectural decisions.
Andrei will highlight the basic architectural principles and show ways to achieve architecture that is good enough to cover the project requirements and evolve in the future.
He will also present several cases from real projects, where wrong, missing, or over-sophisticated architecture decisions really hurt the development teams:
- Painful sharing: do shared modules increase reusability or will be the source of problems?
- Microservices are the solution to every problem!
- Non-extensible extensibility: too sophisticated configuration hurts
- Over fine-grained: incorrect splitting to Microservices can make life even harder as with monolith
- Convey horizontal split: how organizational driven split can jeopardise the architecture
- Model-driven: central responsibility blocks and limits the team
- Cargo cult: blindly following patterns and rule can produce an unmaintainable system
- Freestyle architecture: what happens if teams completely ignore architecture
- Improve with less intelligence: smart endpoint and dumb pipes
Abstract
The idea of this talk is to help development teams to make correct architectural decisions.
Andrei will highlight the basic architectural principles and show ways to achieve architecture that is good enough to cover the project requirements and evolve in the future.
He will also present several cases from real projects, where wrong, missing, or over-sophisticated architecture decisions really hurt the development teams:
- Painful sharing: do shared modules increase reusability or will be the source of problems?
- Microservices are the solution to every problem!
- Non-extensible extensibility: too sophisticated configuration hurts
- Over fine-grained: incorrect splitting to Microservices can make life even harder as with monolith
- Convey horizontal split: how organizational driven split can jeopardise the architecture
- Model-driven: central responsibility blocks and limits the team
- Cargo cult: blindly following patterns and rule can produce an unmaintainable system
- Freestyle architecture: what happens if teams completely ignore architecture
- Improve with less intelligence: smart endpoint and dumb pipes
Presented at JAX London 2013.
Software craftsman and co-founder of the London Software Craftsmanship Community (LSCC). Sandro has been coding since a very young age but just started his professional career in 1996. He has worked for startups, software houses, product companies and international consultancy companies. Having worked as a consultant for the majority of his career, he had the opportunity to work in a good variety of projects, with different languages and technologies, and across many industries. Currently he is a director at UBS Investment Bank, where he works as a hands-on mentor, giving technical directions, looking after the quality of the systems and pair-programming with developers in the UK and abroad. His main objective is to help developers to become real software craftsmen.
The Economics of Scale: Promises and Perils of Going DistributedTyler Treat
What does it take to scale a system? We'll learn how going distributed can pay dividends in areas like availability and fault tolerance by examining a real-world case study. However, we will also look at the inherent pitfalls. When it comes to distributed systems, for every promise there is a peril.
6 ways DevOps helped PrepSportswear move from monolith to microservicesDynatrace
Like a lot of online businesses today, PrepSportswear’s success is 100% dependent on the availability, scalability and performance of their digital online services. If the website is down, the business stops. They knew they had to transform their business from that of a retailer with a website to a high caliber IT company that sells products online.
In these webinar slides, Richard Dominguez, PrepSportswear’s Developer in Operations, shares their journey. They transformed from a team operating a monolithic app using waterfall development methodology on an old, hard to maintain code base, to a modern IT organization applying new practices from Agile development, DevOps and a Service-Oriented Architectural approach.
The Impact? PrepSportswear’s Most Successful Online Holiday Shopping Season in Company History! Join us to:
Learn how to identify if you are running a monolithic application that is dragging you down.
Get tips on hiring the right people to inject a DevOps cultural mindset into your organization.
Understand how to break the monolith into smaller pieces that support key lines of business.
Discover where to automate monitoring into your pipeline and platform.
Identify metrics for individual stakeholders (dev vs. test vs. business).
Go forward, celebrate, learn from, and repeat success!
Richard will be joined by Andreas Grabner, Performance Advocate at Dynatrace who will support why monitoring, application and end user metrics have to be a key part of your own transformation!
Richard Dominguez has 9+ years’ experience as both a System Analyst and Software Developer in Test. He has worked on many high profile projects in Microsoft such as Hyper-V, Windows 7 Client Performance, and Windows Phone Services. Richard now works at PrepSportswear as the company’s DevOps engineer. His responsibilities include site reliability, external synthetic testing, release management and overall site performance.
Andreas Grabner has 15+ years’ experience as an architect and developer in the Java and .NET space. In his current role, Andi works as an advocate for high performing applications in both the development and operations areas. He is a regular expert and contributor to large performance communities, a frequent speaker at technology conferences and regularly publishes articles blogs on blog.dynatrace.com
AMIS 25: DevOps Best Practice for Oracle SOA and BPMMatt Wright
DevOps and Cloud are transforming the software release process, one which spans multiple teams across development and operations (including testing, infrastructure management), into a collaborative process, with all teams working together to deliver solutions into production faster.
This session details how to implement a continuous delivery process for Oracle SOA/BPM projects, both on-premise and in the cloud, which transform the release process into an automated, reliable, high quality delivery pipeline that that deliver projects faster, with less risk and less cost.
It details the processes and best practices that need to be established, how to use tools to automate and govern the build, deployment and configuration of code from our first initial environment through to production.
1. Learn how DevOps and Continuous Delivery can stream-line the delivery of integration / bpm projects into production.
2. Learn how DevOps plus the Cloud service can accelerate the implementation of on-premise Oracle SOA .
3. Learn best practice for implementing DevOps or Continuous Delivery for Oracle SOA projects on-cloud and on-premise.
4. How to use tools to automate and govern the build, deployment and configuration of code from dev through to production
5. How to leverage the Cloud for Dev and Test, and the benefits this provides.
AWS Community Day: From Monolith to Microservices - What Could Go Wrong?Phuong Mai Nguyen
Almost every tech organisation right from start-ups to unimaginably big ones have had monolithic applications in the past and have moved on to nimbler approaches like microservices, making use of powerful cloud technologies. But not every organisation has made this move yet, with most of them still in analysing phase.
If you are part of this or interested in exploring how major players in the industry have managed to convert monoliths to microservices, join us in the talk to get an in-depth knowledge about things that could go wrong and how to make the right choices using AWS services. On top of practical techniques and real-life case studies, we will also be exploring agile methodologies and discuss if microservices are the right choice for your field of work.
All in AI: LLM Landscape & RAG in 2024 with Mark Ryan (Google) & Jerry Liu (L...Daniel Zivkovic
Serverless Toronto's 6th-anniversary event helps IT pros understand and prepare for the #GenAI tsunami ahead. You'll gain situational awareness of the LLM Landscape, receive condensed insights, and actionable advice about RAG in 2024 from Google AI Lead Mark Ryan and LlamaIndex creator Jerry Liu. We chose #RAG (Retrieval-Augmented Generation) because it is the predominant paradigm for building #LLM (Large Language Model) applications in enterprises today - and that's where the jobs will be shifting. Here is the recording: https://youtu.be/P5xd1ZjD-Os?si=iq8xibj5pJsJ62oW
Canadian Experts Discuss Modern Data Stacks and Cloud Computing for 5 Years o...Daniel Zivkovic
Two #ModernDataStack talks and one DevOps talk: https://youtu.be/4R--iLnjCmU
1. "From Data-driven Business to Business-driven Data: Hands-on #DataModelling exercise" by Jacob Frackson of Montreal Analytics
2. "Trends in the #DataEngineering Consulting Landscape" by Nadji Bessa of Infostrux Solutions
3. "Building Secure #Serverless Delivery Pipelines on #GCP" by Ugo Udokporo of Google Cloud Canada
We ran out of time for the 4th presenter, so the event will CONTINUE in March... stay tuned! Compliments of #ServerlessTO.
Opinionated re:Invent recap with AWS Heroes & BuildersDaniel Zivkovic
AWS Heroes & Builders from Bosnia, Montenegro, Serbia and Canada share their impressions of the re:Invent 2022, most important announcements, opinions about where #AWS is going next and how that will impact you: https://youtu.be/KfkQU8QbQ4U
* Dzenan Dzevlan - AWS Community Hero, AWS Authorized Instructor & AWS User Group Bosnia leader
* Goran Opacic - AWS Data Hero, CEO @ Esteh & AWS User Group Belgrade leader
* Dzenana Dzevlan - AWS Community Builder, Production Engineer @ Yahoo & AWS User Group Bosnia leader
* Marin Radjenovic - AWS Community Builder, Cloud Architect @ Crayon & AWS User Group Montenegro leader
* Andrew Brown - AWS Community Hero, GCP Champion Innovator, CEO @ ExamPro & AWS Ontario Virtual User Group leader
TABLE OF CONTENT
00:00:00 Roundtable discussion
00:55:10 Q&A
00:57:45 Why you should watch this video!
00:59:35 Panelists into
01:06:11 How it felt to be at #reInvent 2022
01:07:19 Manning Publications raffle
01:08:15 #ServerlessTO past & future
LINKS FROM THE MEETUP CHAT
https://www.linkedin.com/in/dzenanadzevlan/
https://twitter.com/DzenanaDzevlan
https://www.linkedin.com/in/sqlheisenberg/
https://twitter.com/sqlheisenberg
https://www.linkedin.com/in/marinradjenovic/
https://twitter.com/marin_ra
https://medium.com/@marinradjenovic
https://www.linkedin.com/in/goranopacic/
https://twitter.com/goranopacic
https://hachyderm.io/@goranopacic/
https://www.linkedin.com/in/andrew-wc-brown/
https://twitter.com/andrewbrown
https://www.youtube.com/playlist?list=PLBfufR7vyJJ7k25byhRXJldB5AiwgNnWv
AWS Java Panel #2 SnapStart and SpringCloud AWS: https://www.youtube.com/watch?v=nhwgm9J4F9A
Top Announcements of AWS re:Invent 2022: https://aws.amazon.com/blogs/aws/top-announcements-of-aws-reinvent-2022/
AWS Supply Chain https://aws.amazon.com/aws-supply-chain/
Serverless MySQL https://planetscale.com/
MORE EVENTS LIKE THIS
* past interactive lectures at: http://youtube.serverlesstoronto.org/
* upcoming events: https://www.meetup.com/Serverless-Toronto/events/
Google Cloud Next '22 Recap: Serverless & Data editionDaniel Zivkovic
See what's new in #Serverless and #Data at GCP. Our guest, Guillaume Blaquiere - Stack Overflow contributor & #GCP #Developer Expert from France, covered the best #GoogleCloudNext announcements, practically demoed how to benefit from #BigQuery Remote Functions and answered many questions.
The meetup recording with TOC for easy navigation is at https://youtu.be/AuZZTwHIcdY
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
Conversational Document Processing AI with Rui CostaDaniel Zivkovic
Learn how to bridge the gap between #ConversationalAI and #DocumentProcessing with #GCP guru and #OReilly "#GoogleCloud Cookbook" author Rui Costa. Even if #Chatbots and #DocumentManagement#automation are not your "cup of tea", getting access to the #sourcecode of the his end-to-end #Serverless solution (with #Dialogflow, #Flutter, #Firebase, #Firestore, #AppEngine, #CloudRun) is priceless: https://forms.gle/domTVAQxUN6AthFz5
Proudly brought to you by #ServerlessTO: http://youtube.serverlesstoronto.org/
How to build unified Batch & Streaming Pipelines with Apache Beam and DataflowDaniel Zivkovic
Apache Beam is a beautiful framework that blurs the line between Batch and Streaming, so check out this interactive tutorial by Patrick Lecuyer - Head of Specialist Customer Engineering at Google Canada. His examples run on GCP Dataflow, but what you'll learn will be portable across clouds, and distributed processing engines like Apache Flink, Apache Samza, Apache Spark, IBM Streams... regardless of where you do your Big Data processing!
The meetup recording with TOC for easy navigation is at https://youtu.be/7pUYKX40RfA.
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
Gojko's 5 rules for super responsive Serverless applicationsDaniel Zivkovic
Gojko Adzic (#AWS Serverless Hero, Trainer, Entrepreneur & Book Author) shares 5 important Architectural ideas to make request processing lightning fast with #Serverless deployments. Video at https://youtu.be/XLLdWYdJ4Vw
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
Retail Analytics and BI with Looker, BigQuery, GCP & Leigha JarettDaniel Zivkovic
Leigha Jarett of GCP explains how to bring Cloud "superpowers" to your Data and modernize your Business Intelligence with Looker, BigQuery and Google Cloud services on an example of Cymbal Direct - one of Google Cloud's demo brands. The meetup recording with TOC for easy navigation is at https://youtu.be/BpzJU_S40ic.
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
The entire AWS Serverless Developer Advocates team recaps the news from Amazon Web Services & answers many serverless questions, so the event felt like a mini re:Invent. The meetup recording with TOC for easy navigation is at https://www.youtube.com/watch?v=Y4vMXsY2Pc4.
Thank you @talia_nassi, @edjgeek, @benjamin_l_s, @julian_wood and @jbesw for visiting our Serverless Tronto community!
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
Empowering Developers to be Healthcare HeroesDaniel Zivkovic
Learn from Dr. Kevin Maloy in 1hr how to write Healthcare Apps to connect to EHR systems, instead of spending weeks to become fluent in HL7 SMART on FHIR standard. Kevin is a practicing, board-certified Emergency Medicine physician who also codes. The meetup recording (with Q&A) is at https://youtu.be/alB-45nu0lo
Get started with Dialogflow & Contact Center AI on Google CloudDaniel Zivkovic
Google #ConversationalAI expert Lee Boonstra explains how to build Enterprise Chatbots and Telephony (#CcaaS #CallCenter) Agents using #Dialogflow, #CCAI and other #GoogleCloud #Serverless services. Courtesy of #ServerlessTO.
The lecture recording with Q&A is at https://youtu.be/apyr6dgx52Q
Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...Daniel Zivkovic
Learn how Google Cloud addresses the key challenges when building an Agile Data & AI platform. This lecture is important regardless of the Cloud you are (will be) using because most businesses face the same 6 challenges:
1. High-quality AI requires a lot of data
2. AI Expertise is in high demand
3. Getting the value of ML requires a modern data platform
4. Activating ML requires surfacing AI into decision UIs
5. Operationalizing ML is hard
6. State-of-the-art changes rapidly
The lecture recording with Q&A is at https://youtu.be/ntBEQdD1IeQ
Smart Cities of Italy: Integrating the Cyber World with the IoTDaniel Zivkovic
Plant the #SmartCity #IoT seed in your community by borrowing some production-ready projects from #Messina, Italy! There's plenty of ideas to choose from http://SmartMe.io, http://smartme.unime.it/ & https://github.com/MDSLab. Our guest Antonio Puliafito explained how Smart Messina technology works and shared many tips for succeeding on your next Smart/Connected Community IoT Initiative.
Event recording is at https://youtu.be/-jLLfE8fRH8
Doubting it's possible to implement that in your community? Or just not sure you can spare 1.5 hours to watch this #Serverless #Toronto meetup? Then, watch this 5min CNET video from 2017 and get inspired (like we did :) https://www.cnet.com/videos/sicilys-smart-cities-show-its-getting-easier-to-get-smart/
And if you'll have any questions for Antonio and his team, post them to the #smart-city channel of http://slack.serverlesstoronto.org/, and the University of Messina researchers will get back to you!
Running Business Analytics for a Serverless Insurance Company - Joe Emison & ...Daniel Zivkovic
Take a peek into the future of IT - beyond Serverless Software Development, when Serverless becomes a way to run Internal IT.
When ServerlessToronto.org invited Joe Emison - AWS Serverless Hero, we expected to see how he "knocked down the wall" between AWS & Google Clouds (to query Amazon DynamoDB from Google BigQuery) using the Fivetran ELT tool, but we learned so much more... and you will too: https://youtu.be/GK5Ivm6EOlI
This is my Architecture to prevent Cloud Bill ShockDaniel Zivkovic
“Fail Fast and Learn Fast” with Cloud is a bad idea because Cloud overall is like a double-edged sword: when used correctly, it can be of great use, but it can be lethal if misused. In this meetup, Sudeep Chauha - founder of the ToMilkieWay.com shared his “near business death” experience after a GCP experiment ended up with a $72,000 bill shock.
Infinite Recursions are a common problem, so this talk is useful to developers from any public Cloud. Sudeep explained the mistakes he made, and the lessons he learned - so the rest of us can avoid similar near-Bankruptcy incidents. Thank you, Sudeep!
P.S. Watch the recording at http://youtube.ServerlessToronto.org and for more forward-looking #Software #Developerment topics, join http://ServerlessToronto.org User Group
LINKS FROM THE MEETUP & CHAT
https://www.askyourdeveloper.com/
https://svpg.com/empowered-ordinary-people-extraordinary-products/
https://www.youtube.com/playlist?list=PLd31CCJlr9FrZazLqRg1Lxq7xw9b6VNP6
https://www.meetup.com/Serverless-Toronto/events/276752609/
https://www.meetup.com/Serverless-Toronto/events/277272390/
https://www.snowflake.com/trending/data-cloud-storage
https://aisoftwarellc.weebly.com/books.html
https://tomilkieway.com/
https://blog.tomilkieway.com/72k-1/
https://blog.tomilkieway.com/72k-2/
https://sudcha.com/guide-to-cloud/
https://announce.today
https://pointaddress.com
https://maia.rest/point
https://wikimapia.org
https://cloudopty.com/
Gregor Hohpe "No one wants a server - a fresh look at Cloud strategy": https://www.youtube.com/watch?v=ACT2tXhFCDk
Adrian Cockcroft compares Vendor Lock-in to Dating: https://www.slideshare.net/AmazonWebServices/digital-transformation-arc219-reinvent-2017/85
Survey to plan #ServerlessTO Community future: https://forms.gle/BUiHVT3ZCp1dcuoH7
Our learning sponsor: https://www.manning.com/
Lunch & Learn BigQuery & Firebase from other Google Cloud customersDaniel Zivkovic
1) Migrating your on-prem #Enterprise #Data #Warehouse into the #Cloud? Here is what you need to learn (and unlearn) when designing a modern Cloud #DataWarehouse in #BigQuery!
2) Launching a #Startup? See how to supercharge your idea with #Firebase!
Watch the recording at https://youtu.be/zezhXNqD0rs and more forward-looking talks on #Cloud #Architectures & #DataEngineering join http://ServerlessToronto.org User Group.
Azure for AWS & GCP Pros: Which Azure services to use?Daniel Zivkovic
Learn how to choose which #Azure services to use so that you can start "Jumping Clouds" with confidence :) Watch the recording at https://youtu.be/34U1hUJmCUc and for more forward-looking #Software #Developerment topics, join http://ServerlessToronto.org User Group
LINKS FROM THE MEETUP & CHAT
https://www.askyourdeveloper.com/
http://youtube.serverlesstoronto.org
https://youtu.be/Ivcndg9pTpk?t=1390
https://www.meetup.com/Serverless-Toronto/events/276721419/
https://www.meetup.com/Serverless-Toronto/events/275256767/
https://www.meetup.com/Serverless-Toronto/events/276752609/
https://developerweeklypodcast.com/
https://channel9.msdn.com/Shows/Azure-Friday
https://www.pluralsight.com/paths/microsoft-azure-compute-for-developers
https://azureoverview.com/
https://build5nines.com/
https://azure.microsoft.com/en-us/updates/
https://azure.microsoft.com/en-us/blog/
https://docs.microsoft.com/en-us/azure/architecture/
https://www.mssqltips.com/sqlservertip/5144/sql-server-temporal-tables-vs-change-data-capture-vs-change-tracking--part-3/
https://azure.microsoft.com/en-us/pricing/details/synapse-analytics/
https://www.manning.com/books/azure-data-engineering
https://www.manning.com/books/azure-storage-streaming-and-batch-analytics
https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-overview?tabs=csharp
https://cloudevents.io/
https://docs.microsoft.com/en-us/azure/architecture/patterns/
https://www.linkedin.com/pulse/you-asking-your-team-design-perfect-solution-daniel-zivkovic/
https://youtu.be/GBTdnfD6s5Q
https://www.linkedin.com/company/serverless-toronto/
Serverless Evolution during 3 years of Serverless TorontoDaniel Zivkovic
Four presentations for the 3rd Birthday of our User Group! After a short overview about Serverless Mindset (regardless of your tech stack), see:
1. how #Serverless has changed Software Development Process (Gareth McCumskey of Serverless.com) and a demo of Serverless Desktop (https://github.com/serverless/desktop)
2. How small teams achieve BIG things with Firebase and #GCP Serverless Services (Kudzanai Murefu of Strma.io)
3. See folks competing to get involved with "COVID-19 Vaccination Passport", a project with a greater moral purpose in today's "upside-down world" (David Janes of Consensas.com)
4. A reflection on the Serverless evolution and optimism for the future of Serverless (and Startups) as the line between its ecosystem and other Cloud-native Technologies keeps blurring (Mike Apted of #AWS #Startups).
BONUS
1. Recording https://youtu.be/mdxT929JJoE
2. Invitation https://www.meetup.com/Serverless-Toronto/events/273716629/
3. For more forward-looking #Software #Developerment topics, join #ServerlessTO User Group
LINKS FROM THE MEETUP
https://www.askyourdeveloper.com/
https://www.meetup.com/en-AU/lean-product/
https://www.linkedin.com/in/marcbrouillard/
https://www.youtube.com/watch?t=1390&v=Ivcndg9pTpk
https://youtu.be/8Rzv68K8ZOY
https://www.youtube.com/watch?t=2304&v=SPsaqiegOP4
https://www.manning.com/
https://www.serverless.com/author/garethmccumskey/
https://www.linkedin.com/in/kudzanai-murefu-7b128886/
https://www.linkedin.com/in/davidjanes/
https://www.linkedin.com/in/mikeapted/
https://serverless.com/slack
https://github.com/serverless/desktop
https://strma.io
https://cccc4.ca/
https://passport.consensas.com/
https://github.com/Consensas/information-passport/tree/main/docs
https://dpjanes.medium.com/
https://en.wikipedia.org/wiki/Antoine_de_Saint-Exup%C3%A9ry
https://youtu.be/1SqfJo47kMA
https://youtu.be/tz89XTBby-M
https://aws.amazon.com/activate/founders/
https://aws.amazon.com/builders-library/
https://www.amazon.science/publications
https://www.linkedin.com/in/rupakg
Simpler, faster, cheaper Enterprise Apps using only Spring Boot on GCPDaniel Zivkovic
Enterprises traditionally think of App Platforms as PCF (Pivotal Cloud Foundry) or Red Hat OpenShift. In reality, public Clouds have evolved into Application Platforms - especially when using Managed Services & Serverless.
• If you are an IT Executive under increased pressure to cut costs, see how better Technology Stack choices – not layoffs or pay cuts, can reduce IT costs + increase business agility (while avoiding vendor lock-in):
• If you are a Developer lost in the sea of the Cloud Computing choices, watch Ray Tsang (Java Champion from GCP) live-code, and you will walk away Cloud-Native :)
See how to stop cannibalization of IT by deploying your good ol' Java Spring Boot Apps directly to Google Cloud Platform - no Servers/PCF/OpenShift/Kubernetes to manage, nor to limit your creativity: https://youtu.be/2B0wWagE0dc
P.S. For more forward-looking Software Developerment topics, join ServerlessToronto.org Meetups, and if you have any questions about the Architectural Patterns discussed, reach out to me to chat.
Learn about the state of Serverless after AWS re:Invent 2020. Check out the most impactful new features, and use cases for the new capabilities. Event recording (including 1hr long Q&A) is at http://YouTube.ServerlessToronto.org
LINKS FROM THE MEETUP CHAT:
Best practices in Product Management https://www.meetup.com/lean-product/
Some good PMs (Product Managers) will be here https://www.productfaculty.com/cpo-mastery
re:Invent 2020 Sessions https://virtual.awsevents.com/agenda
Amazon Aurora Serverless v2 - Instant scaling for demanding workloads https://virtual.awsevents.com/media/1_3nlad51o
OpenTelemetry & AWS X-Ray https://aws.amazon.com/blogs/opensource/enhancing-aws-x-ray-support-in-opentelemetry-javascript-sdk/
Adrian Cockcroft’s architecture trends and topics for 2021 https://virtual.awsevents.com/esearch/search?keyword=cockcroft
Dirk Froehner's talk "Application integration patterns for microservices" https://virtual.awsevents.com/media/1_6zks63br
"Tim Bray and Friends | Messaging Series" https://aws.amazon.com/messaging/twitch/
"How I started building serverless apps - the Serverless Coffee Break with Emily Shea" https://www.youtube.com/watch?v=oxHnUFMRWu8
Our Knowledge sponsor https://www.manning.com/
4 Serverless events already scheduled for 2021, RSVP at https://www.meetup.com/Serverless-Toronto/events
LINKS FROM THE PRESENTATION:
https://twitter.com/jbesw
1 ms billing https://s12d.com/1ms
Container image support for AWS Lambda https://s12d.com/OCI
https://s12d.com/extensions-intro
https://s12d.com/extensions-building
https://s12d.com/extensions-logs
Decoupling serverless workloads with Amazon EventBridge (James Beswick) https://virtual.awsevents.com/media/1_gyzid3q3
AWS Lambda – Part 1: Optimizing your serverless applications (Chris Munns) https://virtual.awsevents.com/media/1_bhnvfdgz
Best practices for securing your serverless applications (Rob Sutter) https://virtual.awsevents.com/media/1_zchhd4oh
API Gateway – Beyond the proxy (Eric Johnson) https://virtual.awsevents.com/media/1_hgw8wdl7
The serverless LAMP stack (Ben Smith) https://virtual.awsevents.com/media/1_ajbfgmdl
Becoming proficient with serverless application observability (Julian Wood) https://virtual.awsevents.com/media/1_t0qj8lcg
Resources for learning AWS https://ServerlessLand.com/learn
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
SRE Topics with Charity Majors and Liz Fong-Jones of Honeycomb
1. Welcome to ServerlessToronto.org
1
Introduce Yourself ☺
- Why are you here? Where from?
- Looking or Offering work?
Fill the survey to win prises!
“SRE Topics with Charity Majors & Liz
Fong-Jones of Honeycomb.io”
will start at 6:10pm…
2. Knowledge Sponsor
Fill the survey to win
monthly Manning Giveaways:
https://forms.gle/ANEa6j3GZnsUm7jZ7
https://www.manning.com/books/software-telemetry
GOOD LUCK!
3. Upcoming ServerlessToronto.org Meetups
3
1) AWS re:Invent 2020 Recap –
James Beswick of AWS
2) Serverless Cloud Native Java
with Spring Cloud GCP (No
platform needed) – Ray Tsang,
Java Champion of GCP
3) Community Lightning Talks &
Updates for our 3rd Birthday
4) ??? We need you ☺
Please rate us online ☺
4. Serverless is not just about the Tech:
4
Serverless is New Agile & Mindset
#1 Serverless Dev
(Back-end FaaS dev, but
turned into gluing APIs
and Managed Services)
#2 We're obsessed to
creating business value
(meaningful MVPs,
Products), to empower
Business users
#3 We build bridges
between Serverless
Community (“Dev leg”),
and Front-end & Voice-
First developers & User
Experience designers
(“UX leg”)
#4 Achieve agility NOT
by “sprinting” faster
(like in Scrum), but
working smarter (by
using bigger building
blocks and less Ops)
5. “Toss It Over the Fence” SDLC principle ;)
Why DevOps topics at Serverless event?
5
My reality was: The
idea of
Dev – Ops “line”
became, not 2 but 3
silos:
Dev | DevOps | Ops
6. Looking back, it
appears that my
obsession with
Startups/Serverless
was (in a way) an
escape from the
Corporate IT reality
Why DevOps topics at Serverless event?
6
7. 7
SLI tells when users
are happy/unhappy
SLIs, SLOs, SLAs,
oh my! (class SRE
implements
DevOps) videos
“When the student
is ready, the teacher
will appear” to help
us resolve Dev vs.
Ops conflict…
SRE shifts focus from Dev & Ops to Users!
11. the fundamental building block
by which we organize ourselves
and coordinate and scale our labor.
Teams.
12. The teams you join will define your career
more than any other single factor.
13. bad jobs can
be bad in
so, so many
different ways…
Bad Job One:
• predatory product
• praised for pulling all-nighters
• alienated from coworkers
• long commute
• neglectful manager
• the worst Silicon Valley cliches
Bad Job Two:
• aging, obsolete tech
• high operational toil
• fragile, flappy systems
• complacency
• low engineering skill level
• command-and-control
leadership
17. sociotechnical (n)
“Technology is the sum of ways in which social groups construct the
material objects of their civilizations. The things made are socially
constructed just as much as technically constructed. The merging of these
two things, construction and insight, is sociotechnology” — wikipedia
if you change the tools people use,
you can change how they behave and even who they are. 😱
19. Socio-
Technical
Systems
sociotechnical (n)
Your system is a snowflake.
hire growth-oriented people
build emotional safety
invest in good tooling, pay down tech debt
practice observability-driven development
instrument, observe, iterate, and repeat
construct and tweak virtuous feedback loops.
20. You can’t fix what you can’t measure.
How well does YOUR team perform?
https://services.google.com/fh/files/misc/state-of-devops-2019.pdf
4
🔥key🔥
metrics.
Socio-
21. 1 — How frequently do you deploy?
2 — How long does it take for code to go live?
3 — How many of your deploys fail?
4 — How long does it take to recover from an outage?
5 — How often are you alerted after hours?
Every team lead should watch these.
Know where you stand.
22. We waste a LOT of time.
https://stripe.com/reports/developer-coefficient-2018
42%!!!
42%!!!
42%!!!
42%!!!
42%!!!
23. There is a wide gap between elite teams and the bottom 50%.
24. It really, really, really,
really, really
pays off
to be on a
high performing team.
25. Who is going to be the better engineer
two years from now?
3000 deploys/year
9 outages/year
6 hours firefighting
5 deploys/year
65 outages/year
firefighting: constant
26. Q: What happens when an
engineer from the elite yellow
bubble joins a team in the
medium blue bubble?
A: Your productivity tends
to rise (or fall) to match that
of the team you join.
27. “Build great teams by only hiring the best people”Great teams make great engineers. ❤
28. Every engineering org
has a dual mandate.
The work consists of cultivating sociotechnical feedback loops
so engineers can own the full lifecycle of their code
and that begins with observability.
Happier customers, happier teams.
29. This brings us to tools.
Technical
I don’t know exactly what you need
but I can guess :)
Observability, Progressive Deployments, Continuous Delivery, SLOs
And your weakest points in the OMM
30. observability(n):
“In control theory, observability is a measure of how well
internal states of a system can be inferred from knowledge of
its external outputs. The observability and controllability of a
system are mathematical duals." — wikipedia
31. Can you understand what’s happening inside your
systems, just by asking questions from the outside? Can
you debug your code and any behavior using its output?
Can you answer new questions without shipping new code?
o11y for software:
32. • Arbitrarily-wide structured data blobs
(“canonical logs”)
• Visualize by time (“trace”)
• Gathers up full context in a single blob per
req per service
• Propagates unique request IDs and span IDs
Yes Observability:
• Unstructured, ad hoc logs
• Metrics-based tools (Prometheus,
DataDog, SignalFX, WaveFront, etc)
• Anything that requires indexes or schemas
Not Observability:
technical nitpick:
33. o11y technical dependencies (long):
https://www.honeycomb.io/blog/so-you-want-to-build-an-observability-tool/
• High cardinality
• High dimensionality
• Exploratory, open-ended investigation based on raw events
• Service Level Objectives. No preaggregation.
• Based on arbitrarily-wide structured events with span support
• No indexes, schemas, or predefined structure
• Bundling the full context of the request across network hops
• Metrics != observability. Unstructured logs != observability.
34. "I don't have time to invest in observability right now. Maybe later”
You can't afford not to.
35. 1. Resiliency to failure
2. High-quality code
3. Manage complexity and technical debt
4. Predictable releases
5. Understand user behavior
https://www.honeycomb.io/wp-content/uploads/2019/06/Framework-for-an-Observability-Maturity-Model.pdf
Observability Maturity Model
… find your weakest category, and tackle that first
36. Observability is the key to making the leap
from known-unknowns to unknown-
unknowns, and
software lifecycle ownership.
unknown-unknownsknown-unknowns
monitoring observability
37. • Ephemeral and dynamic
• Far-flung and loosely coupled
• Partitioned, sharded
• Distributed and replicated
• Containers, schedulers
• Service registries
• Polyglot persistence strategies
• Autoscaled, multiple failover
• Emergent behaviors
• ... etc
Complexity🔥
Why now?
38. Without observability, your team will resort to
guessing and iterating blindly, without evidence,
and you will struggle to connect or debug
feedback loops.
Observability enables you to inspect cause and
effect at a granular level. Observability enables
engineers to have ownership over the lifecycle of
their software.
Example? Sure!
39. The app tier capacity is exceeded. Maybe we
rolled out a build with a perf regression, or
maybe some app instances are down.
DB queries are slower than normal. Maybe
we deployed a bad new query, or there is
lock contention.
Errors or latency are high. We will look at
several dashboards that reflect common root
causes, and one of them will show us why.
“Photos are loading slowly for some people. Why?”
(LAMP stack)
we should
monitor these things!
40. “Photos are loading slowly for some people. Why?”
(microservices)
Any microservices running on c2.4xlarge instances and
PIOPS storage in us-east-1b has a 1/20 chance of
running on degraded hardware, and will take 20x
longer to complete for requests that hit the disk with a
blocking call. This disproportionately impacts people
looking at older archives due to our fanout model.
Canadian users who are using the French language
pack on the iPad running iOS 9, are hitting a
firmware condition which makes it fail saving to local
cache … which is why it FEELS like photos are
loading slowly
Our newest SDK makes db queries sequentially if
the developer has enabled an optional feature flag.
Working as intended; the reporters all had debug
mode enabled. But flag should be renamed for
clarity sake.
eerrrr …
wtf do I monitor for?
41. More Problems
"I have twenty microservices and a sharded db and
three other data stores across three regions, and
everything seems to be getting a little bit slower
over the past two weeks but nothing has changed
that we know of, and oddly, latency is usually back to
the historical norm on Tuesdays.”
“All twenty app micro services have 10% of available
nodes enter a simultaneous crash loop cycle, about
five times a day, at unpredictable intervals. They have
nothing in common afaik and it doesn’t seem to
impact the stateful services. It clears up before we
can debug it, every time.”
“Our users can compose their own queries that we
execute server-side, and we don’t surface it to them
when they are accidentally doing full table scans or
even multiple full table scans, so they blame us when
they get timeouts.”
(microservices)
42. Still More Problems
“Several users in Romania and Eastern Europe are
complaining that all push notifications are down for
them … for days. But that’s impossible, because
pushes are in a single shared queue, and I’m
receiving pushes right now!”
“Disney is complaining that once in a while, but not
always, they don’t see the photo they expected to
see — they see someone else’s photo! When they
refresh, it’s fixed.”
“Sometimes a bot takes off, or an app is featured on
the iTunes store, and it takes us a long long time to
track down which app or user is generating
disproportionate pressure on shared components of
our system (esp databases). Everything gets slower
at once, and we can’t tell which of the slow apps
caused it (because EVERYTHING’s slow).
“We run a platform, and it’s hard to
programmatically distinguish between problems
that users are inflicting themselves and problems in
our own code, since they all manifest as the same
errors codes or timeouts."
(microservices)
43. You have an observable system
when your team can quickly and reliably diagnose
any new behavior with no prior knowledge.
observability begins with
rich instrumentation, putting you in
constant conversation with your code
well-understood systems require
minimal time spent firefighting
44. kick-start the virtuous cycle of you build it, you own it
instrumenting two steps in front of you as you build
never accept a PR unless you’ll know when it breaks
watch your code go out. muscle memory.
working as intended? anything else look weird?
thru the lens of your instrumentation
O.D.D.
that’s observability-driven development
45. on call: where shit gets real.
on call is for everyone who writes code.
on call must not be terrible.
(software ownership is the only way to make it better.)
democratize production.
production is for everyone; build guard rails.
encourage curiosity, emphasize ownership. don't punish.
get up to your elbows in prod EVERY DAY
Tools
46. invest in your deploys, instrument everything
fulfill the promise of Continuous Delivery
(don’t be scared by regulations)
feature flags,
feature flags,
feature flags.
progressive deploy $ALLTHETHINGS
✨Production First✨
test in prod
let staging take the leftovers
SLOs!
47. engineer merges diff. hours pass, multiple other engineers merge too
someone triggers a deploy with a few days worth of merges
the deploy fails, takes down the site, and pages on call
who manually rolls back, then begins git bisecting
this eats up her day and multiple other engineers
everybody bitches about how on call sucks
insidious
loop:
time elapsed: several engineer-days 🥺💀
48. engineer merges diff, which kicks off an automatic CI/CD and deploy
deploy fails; notifies the engineer who merged, reverts to safety
who knows exactly what she just did, and swiftly fixes it
then adds tests & instrumentation to better detect it
and promptly commits a fix
total time elapsed: 10 engineering minutes
virtuous
loop:
49. It really, really, really,
really, really
pays off
to be on a
high performing team.
Like REALLY.
50. In order to spend more of your time on productive activities,
instrument, observe, and iterate on the tools and processes
that gather, validate and ship your collective output as a team.
Join teams that honor and value this work and are committed to
consistently improving internal tooling — not just shipping features.
Speed is safety. Get code into production within
minutes as the best preventive medicine.
51. Build or buy?
Focus relentlessly on your core business differentiators.
Engineering cycles are the scarcest currency in your universe.
Build reluctantly. All code is legacy. Kill your darlings.
Senior engineers: you must amplify hidden costs
52. Promote people for successfully offloading and outsourcing.
Whatever you praise and promote people for, you will see more of.
Practice vendor engineering.
Good vendors act like they’re on your team.
Build libraries, modules, shared interfaces, examples, docs,
relationships; drive consistent internal use cases.
Tools
54. for extra fun … let’s examine the sociotechnical implications of the
predominant architecture models of the past two decades:
monoliths and microservices
55. Monolith
• THE database
• THE application
• Known-unknowns and mostly
predictable failures
• Many monitoring checks and noisy
paging alerts
• "Flip a switch" to deploy, changes are
big bang and binary (all on/all off)
• Failures to be prevented
• Production is to be feared
• Debug by intuition and scar tissue of
past outages, page bombs
• Canned dashboards, runbooks,
playbooks
• Deploys are scary
• Masochistic on-call culture
sociotechnical causes & effects
“technical” causes: “socio” effects:
56. Monolith
• We built our systems like glass castles
— a fragile, forbidding edifice that we
could tightly control access to.
• Very hostile to exploration or
experimentation
57. • Many storage systems, many services,
many polyglot technologies
• Unknown-unknowns dominate
• Every alert is a novel question
• Rich, flexible instrumentation
• Few paging alerts, tied to SLOs and
keying off user pain
• Failures are your friend
• A deploy is just the beginning of
gaining confidence in your code
• Debug methodically by examining the
evidence and following the crumbs
• Deploys are opportunities
• On-call must be sustainable, humane
sociotechnical causes & effectsMicroservices
“technical” causes: “socio” effects:
58. • Software ownership -- you build it,
you run it
• Robust, resilient, built for
experimentation and testing in prod
• Human scale, with guard rails for
safety
Microservices
60. Here's the dirty little secret.
The next generation of systems won't be built and run by burned out, exhausted
people, or command-and-control teams just following orders.
It can't be done.
they've become too complicated. too hard.
61. You can no longer model these systems in your head and
leap to the solution -- you will be readily outcompeted by
teams with better tools or sharper focus.
Our systems are emergent and unpredictable. Runbooks and
canned playbooks be damned; we need your full creative self.
62. Your labor is a scarce and precious resource.
Lend it to those who are worthy of it.
You only get one career; seek out high-performing teams
to spend more time learning and building, not mired in
tech debt and shitty, wasteful processes
63. we have an opportunity here to make things better
let's do it <3
65. Liz Fong-Jones
Principal Developer Advocate, Honeycomb
@lizthegrey
November 16, 2020
Detangling complex systems
with compassion & production excellence
1w/ illustrations by @emilywithcurls!
189. @lizthegrey
start with lead time. (<3 hours)
deploy frequency goes up. (hourly, >12x/day)
change fail rate goes down. (<0.1%)
time to restore goes down. (seconds to minutes)
High productivity product engineering:
190. @lizthegrey
start with lead time.
10 min builds (x3 at worst), 1h for peer review,
hourly push train = 3 hours to deploy a change.
191. @lizthegrey
start with lead time.
deploy frequency goes up.
Builds go out every hour if there's a change.
1-2 new commits per build artifact.
192. @lizthegrey
start with lead time.
deploy frequency goes up.
change fail rate goes down.
Increased confidence via testing. Flag-flip or
fix-forward, not emergency rollback. 0.1% fail rate.
193. @lizthegrey
start with lead time.
deploy frequency goes up.
change fail rate goes down.
time to restore goes down.
Flag flip takes 30 seconds. Rollback to previous
build takes <10 min. Fix-forward takes 20 min.