The document discusses various AI tools for code generation including Copilot, Codex, GPT-3, TabNine, and Kite. It provides details on how each tool works, such as using statistical correlations to generate code for Codex based on function descriptions. The document also discusses reviews of Copilot and potential security risks if adversarial code is uploaded for models to learn from. It concludes that DevOps and AI can work together in areas like code reviews, testing, and anomaly detection.
Github Copilot and tools that help us code better are cool. But I’m lucky if I spend 90 minutes a day writing code. We really need to optimize the hours we spend reviewing code, updating tickets and tracing where our code is deployed. Learn how I save an hour a day streamlining non-coding tasks.
This talk is unique because 99% of developer productivity tools and hacks are about coding faster, better, smarter. And yet the vast majority of our time is spent doing all of this other stuff. After I started focusing on optimizing the 10 hours I spend every day on non-coding tasks, I found I my productivity went up and my frustration at annoying stuff went way down. I cover how to save time by reducing cognitive load and by cutting menial, non-coding tasks that we have to perform 10-50 times every day. For example:
Bug or hotfix comes through and you want to start working on it right away so you create a branch and start fixing. What you don’t do is create a Jira ticket but then later your boss/PM/CSM yells at your due to lack of visibility. I share how I automated ticket creation in Slack by correlating Github to Jira.
You have 20 minutes until your next meeting and you open a pull request and start a review. But you get pulled away half way through and when you come back the next day you forgot everything and have to start over. Huge waste of time. I share an ML job I wrote that tells me how long the review will take so I can pick PRs that fit the amount of time I have.
You build. You ship it. You own it. Great. But after I merge my code I never know where it actually is. Did the CI job fail? Is it release under feature flag? Did it just go GA to everyone? I share a bot I wrote that personally tells me where my code is in the pipeline after it leaves my hands so I can actually take full ownership without spending tons of time figuring out what code is in what release.
Can i service this from my raspberry piThoughtworks
Infrastructure-related skills are essential for developers in cross-functional teams who build microservices for the cloud. Becoming proficient in infrastructure development is not just about understanding the hardware and software components on top of which applications run in the cloud. It's also about being able to use the tools that provide virtual access to this infrastructure and enable us to provision, configure, monitor it, and deploy applications to it. In this talk Gesa shares how building a Kubernetes cluster of Raspberry Pis and serving applications from it can help in acquiring fundamental infrastructure skills.
Github Copilot and tools that help us code better are cool. But I’m lucky if I spend 90 minutes a day writing code. We really need to optimize the hours we spend reviewing code, updating tickets and tracing where our code is deployed. Learn how I save an hour a day streamlining non-coding tasks.
This talk is unique because 99% of developer productivity tools and hacks are about coding faster, better, smarter. And yet the vast majority of our time is spent doing all of this other stuff. After I started focusing on optimizing the 10 hours I spend every day on non-coding tasks, I found I my productivity went up and my frustration at annoying stuff went way down. I cover how to save time by reducing cognitive load and by cutting menial, non-coding tasks that we have to perform 10-50 times every day. For example:
Bug or hotfix comes through and you want to start working on it right away so you create a branch and start fixing. What you don’t do is create a Jira ticket but then later your boss/PM/CSM yells at your due to lack of visibility. I share how I automated ticket creation in Slack by correlating Github to Jira.
You have 20 minutes until your next meeting and you open a pull request and start a review. But you get pulled away half way through and when you come back the next day you forgot everything and have to start over. Huge waste of time. I share an ML job I wrote that tells me how long the review will take so I can pick PRs that fit the amount of time I have.
You build. You ship it. You own it. Great. But after I merge my code I never know where it actually is. Did the CI job fail? Is it release under feature flag? Did it just go GA to everyone? I share a bot I wrote that personally tells me where my code is in the pipeline after it leaves my hands so I can actually take full ownership without spending tons of time figuring out what code is in what release.
Can i service this from my raspberry piThoughtworks
Infrastructure-related skills are essential for developers in cross-functional teams who build microservices for the cloud. Becoming proficient in infrastructure development is not just about understanding the hardware and software components on top of which applications run in the cloud. It's also about being able to use the tools that provide virtual access to this infrastructure and enable us to provision, configure, monitor it, and deploy applications to it. In this talk Gesa shares how building a Kubernetes cluster of Raspberry Pis and serving applications from it can help in acquiring fundamental infrastructure skills.
GitOps, Driving NGN Operations Teams 211127 #kcdgt 2021William Caban
The adoption of cloud-native principles brings new challenges. Scaling and evolving operations teams and staying up to date requires the adoption of new operational models and paradigms.
This deck presents how modern paradigms map to GitOps principles and the charactersitics that must be supported by any software used for GitOps.
The Role of GitOps in IT-Strategy - November 2021 - Schlomo Schapiro - Contin...Schlomo Schapiro
What is the role of GitOps in IT strategy? This talk gives an overview and puts GitOps into the context of current challenges in IT strategy.
Main aspects are continuous delivery, policy as code, automated governance, compliant-by-default work environments, acceptable means of compliance and a comprehensive automation of all development and operations related processes with the goal of true hands-off operations.
The result places GitOps as a major building block of any modern IT strategy. GitOps helps building essential key IT capabilities. It creates the motivation to truly “fix the basics” via sustainable solutions to enable creating higher level automation solutions. With GitOps engineers can focus much more on business value and spend less effort on boring IT topics.
https://schlomo.schapiro.org/p/publications.html
How open source is driving DevOps innovation: CloudOpen NA 2015Gordon Haff
It’s no coincidence that all the interest around DevOps today comes at a time when open source technologies and processes are so dominant in cloud computing, data storage and analysis, and--increasingly--in networking. Innovations in Linux and other projects, including containers, configuration management, and continuous integration, are what make DevOps workflows and portable application deployments possible. But it’s also the result of open source culture, practices, and the tools supporting those practices that have made iterative development and collaboration such a powerful model for creating great software in communities. And now, they’re also providing a template for how to develop and operate applications internally within enterprises. In this session, we will discuss how open source tools and practices can be applied to create effective DevOps workflows and practices.
Sprachsteuerung mit dem Google Assistant – Add a new User Interface to your P...inovex GmbH
„Computer, Tee, Earl Grey, heiß“ Jeder Star-Trek-Fan wird dieses Zitat kennen, mit dem Capt. Picard sich regelmäßig sein Lieblingsgetränk replizieren lässt. Die Sprachsteuerung von Computern und Maschinen ist fester Bestandteil vieler Science-Fiction-Szenarien. Daher ist es auch nicht verwunderlich, dass schon mehrere Versuche unternommen wurden, diese Technologie zu etablieren, mit eher durchschnittlichem Erfolg. Allerdings deutet sich aktuell ein großer Fortschritt in der Entwicklung von Sprachsteuerungen an, die sich am deutlichsten in der Inkarnation von Geräten wie Amazon Echo oder Google Home darstellt. In der Session zeigen wir die prinzipielle Funktionsweise einer Sprachsteuerung, die Vergleichbarkeit mit Chatbots, und erweitern einen bestehenden Dienst um ein Voice-User-Interface. Dabei zeigen sich die Besonderheit dieser Benutzerschnittstelle im Vergleich zu grafischen Interfaces und die Herausforderungen, die damit verbunden sind.
Event: MobileTech Conference 2017
Datum: 15.03.2017
Speaker: Dominik Helleberg, inovex GmbH
Weitere Tech-Vorträge unter https://www.inovex.de/de/content-pool/vortraege/
Git in the Enterprise: How to succeed at DevOps using Git and a monorepoGina Bustos
Join GitLab VP of Product Job van der Voort and Perforce VP of Community Matt Attaway to hear lessons learned from their customers on how to succeed with DevOps using Git and a monorepo.
In this webinar we'll discuss:
- Approaches for managing teams and projects using Git
- Techniques for handling issue tracking across dependent projects
- Methods for automating testing and deployment
- Strategies for bringing enterprise scale, cross-project visibility and security to teams using Git
The presentation on Expanding test horizons with Robot Framework was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author.
Author and presenter : Kushan Amarasiri
What's New in GitLab and Software Development TrendsNoa Harel
Slides we delivered on a GitLab Meetup (in Israel)
- Trends in Software Development
- GitLab Overview
- GitLab achievements on 2017
- What's New in GitLab versions 10.3, 10.2 and 10.1
- GitLab Road-map for 2018
Code Refactoring or Rewrite: How to Properly Dispose of Legacy CodeRoman Labunsky
Legacy code, that old piece of software no one wants to touch, no one knows who wrote it and everyone’s afraid to replace it. Every developer has experienced that gut wrenching feeling of having to dig into an old code component to extend it or fix a bug. Best case scenario it’s an obscure piece of code that’s responsible for a minor part of your product, worst case, it’s the core of your business.
In this CODE Components Meetup, Roman Labunsky talks about Code Rewriting vs. Code Refactoring and explain the pros and cons of each method and when to use each.
Attacking and defending GraphQL applications: a hands-on approachDavide Cioccia
DevSecCon Seatlle 2019 - Workshop
The workshop is meant for developers, architects and security folks. During the workshop we will learn how to setup a GraphQL project, define a schema, create Query, Mutation and Subscription for a "fake" social network. We will learn what are the main security issues to consider when developing a GraphQL application:
Introspection: information disclosure
/graphql as a single point of failure (DoS attacks)
IDOR
Broken Access control
Injections
Once we get familiar with the issues, we will explain how to avoid it and/or fix it.
Building A Distributed Build System at Google Scale (StrangeLoop 2016)Aysylu Greenberg
It's hard to imagine a modern developer workflow without a sufficiently advanced build system: Make, Gradle, Maven, Rake, and many others. In this talk, we'll discuss the evolution of build systems that leads to distributed build systems. Then, we'll dive into how we can build a scalable system that is fast and resilient, with examples from Google. We'll conclude with the discussion of general challenges of migrating systems from one architecture to another.
YOUR OPEN SOURCE PROJECT IS LIKE A STARTUP, TREAT IT LIKE ONE, EYAR ZILBERMAN...DevOpsDays Tel Aviv
From idea to execution, the challenges of publishing an open source project are very similar to initializing a startup when it comes to creating a successful product that people will love and use.
Most open source projects are not “taking-off”, although they are really good! This is because developers (which are usually the creators of open source projects) think that writing the code is the hard part and “neglect” the other parts of publishing a good open source project.
In this talk, I will use my experience as a contributor to open source and product head of a startup, to go beyond writing the code itself and cover the other central aspects of creating an open source project, like MVP, product/market fit, marketing and more.
If you have never used GraphQL before, you probably think that it is just another buzzword that will be forgotten in a few years. You might think: “Why do I need to learn a new way to write APIs when REST already answers all my needs?”. Or, you are excited to learn something new but don’t believe GraphQL is mature enough for production.
In this talk, I will remind you of some of the pain points you have probably experienced when using REST. I will then explain what GraphQL is and demonstrate how it solves these pain points. Next, I will discuss the disadvantages of GraphQL. Finally, I will provide some guidelines for choosing between REST and GraphQL. By the end of this talk, you will understand what GraphQL is and when to use it.
GitOps, Driving NGN Operations Teams 211127 #kcdgt 2021William Caban
The adoption of cloud-native principles brings new challenges. Scaling and evolving operations teams and staying up to date requires the adoption of new operational models and paradigms.
This deck presents how modern paradigms map to GitOps principles and the charactersitics that must be supported by any software used for GitOps.
The Role of GitOps in IT-Strategy - November 2021 - Schlomo Schapiro - Contin...Schlomo Schapiro
What is the role of GitOps in IT strategy? This talk gives an overview and puts GitOps into the context of current challenges in IT strategy.
Main aspects are continuous delivery, policy as code, automated governance, compliant-by-default work environments, acceptable means of compliance and a comprehensive automation of all development and operations related processes with the goal of true hands-off operations.
The result places GitOps as a major building block of any modern IT strategy. GitOps helps building essential key IT capabilities. It creates the motivation to truly “fix the basics” via sustainable solutions to enable creating higher level automation solutions. With GitOps engineers can focus much more on business value and spend less effort on boring IT topics.
https://schlomo.schapiro.org/p/publications.html
How open source is driving DevOps innovation: CloudOpen NA 2015Gordon Haff
It’s no coincidence that all the interest around DevOps today comes at a time when open source technologies and processes are so dominant in cloud computing, data storage and analysis, and--increasingly--in networking. Innovations in Linux and other projects, including containers, configuration management, and continuous integration, are what make DevOps workflows and portable application deployments possible. But it’s also the result of open source culture, practices, and the tools supporting those practices that have made iterative development and collaboration such a powerful model for creating great software in communities. And now, they’re also providing a template for how to develop and operate applications internally within enterprises. In this session, we will discuss how open source tools and practices can be applied to create effective DevOps workflows and practices.
Sprachsteuerung mit dem Google Assistant – Add a new User Interface to your P...inovex GmbH
„Computer, Tee, Earl Grey, heiß“ Jeder Star-Trek-Fan wird dieses Zitat kennen, mit dem Capt. Picard sich regelmäßig sein Lieblingsgetränk replizieren lässt. Die Sprachsteuerung von Computern und Maschinen ist fester Bestandteil vieler Science-Fiction-Szenarien. Daher ist es auch nicht verwunderlich, dass schon mehrere Versuche unternommen wurden, diese Technologie zu etablieren, mit eher durchschnittlichem Erfolg. Allerdings deutet sich aktuell ein großer Fortschritt in der Entwicklung von Sprachsteuerungen an, die sich am deutlichsten in der Inkarnation von Geräten wie Amazon Echo oder Google Home darstellt. In der Session zeigen wir die prinzipielle Funktionsweise einer Sprachsteuerung, die Vergleichbarkeit mit Chatbots, und erweitern einen bestehenden Dienst um ein Voice-User-Interface. Dabei zeigen sich die Besonderheit dieser Benutzerschnittstelle im Vergleich zu grafischen Interfaces und die Herausforderungen, die damit verbunden sind.
Event: MobileTech Conference 2017
Datum: 15.03.2017
Speaker: Dominik Helleberg, inovex GmbH
Weitere Tech-Vorträge unter https://www.inovex.de/de/content-pool/vortraege/
Git in the Enterprise: How to succeed at DevOps using Git and a monorepoGina Bustos
Join GitLab VP of Product Job van der Voort and Perforce VP of Community Matt Attaway to hear lessons learned from their customers on how to succeed with DevOps using Git and a monorepo.
In this webinar we'll discuss:
- Approaches for managing teams and projects using Git
- Techniques for handling issue tracking across dependent projects
- Methods for automating testing and deployment
- Strategies for bringing enterprise scale, cross-project visibility and security to teams using Git
The presentation on Expanding test horizons with Robot Framework was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author.
Author and presenter : Kushan Amarasiri
What's New in GitLab and Software Development TrendsNoa Harel
Slides we delivered on a GitLab Meetup (in Israel)
- Trends in Software Development
- GitLab Overview
- GitLab achievements on 2017
- What's New in GitLab versions 10.3, 10.2 and 10.1
- GitLab Road-map for 2018
Code Refactoring or Rewrite: How to Properly Dispose of Legacy CodeRoman Labunsky
Legacy code, that old piece of software no one wants to touch, no one knows who wrote it and everyone’s afraid to replace it. Every developer has experienced that gut wrenching feeling of having to dig into an old code component to extend it or fix a bug. Best case scenario it’s an obscure piece of code that’s responsible for a minor part of your product, worst case, it’s the core of your business.
In this CODE Components Meetup, Roman Labunsky talks about Code Rewriting vs. Code Refactoring and explain the pros and cons of each method and when to use each.
Attacking and defending GraphQL applications: a hands-on approachDavide Cioccia
DevSecCon Seatlle 2019 - Workshop
The workshop is meant for developers, architects and security folks. During the workshop we will learn how to setup a GraphQL project, define a schema, create Query, Mutation and Subscription for a "fake" social network. We will learn what are the main security issues to consider when developing a GraphQL application:
Introspection: information disclosure
/graphql as a single point of failure (DoS attacks)
IDOR
Broken Access control
Injections
Once we get familiar with the issues, we will explain how to avoid it and/or fix it.
Building A Distributed Build System at Google Scale (StrangeLoop 2016)Aysylu Greenberg
It's hard to imagine a modern developer workflow without a sufficiently advanced build system: Make, Gradle, Maven, Rake, and many others. In this talk, we'll discuss the evolution of build systems that leads to distributed build systems. Then, we'll dive into how we can build a scalable system that is fast and resilient, with examples from Google. We'll conclude with the discussion of general challenges of migrating systems from one architecture to another.
YOUR OPEN SOURCE PROJECT IS LIKE A STARTUP, TREAT IT LIKE ONE, EYAR ZILBERMAN...DevOpsDays Tel Aviv
From idea to execution, the challenges of publishing an open source project are very similar to initializing a startup when it comes to creating a successful product that people will love and use.
Most open source projects are not “taking-off”, although they are really good! This is because developers (which are usually the creators of open source projects) think that writing the code is the hard part and “neglect” the other parts of publishing a good open source project.
In this talk, I will use my experience as a contributor to open source and product head of a startup, to go beyond writing the code itself and cover the other central aspects of creating an open source project, like MVP, product/market fit, marketing and more.
If you have never used GraphQL before, you probably think that it is just another buzzword that will be forgotten in a few years. You might think: “Why do I need to learn a new way to write APIs when REST already answers all my needs?”. Or, you are excited to learn something new but don’t believe GraphQL is mature enough for production.
In this talk, I will remind you of some of the pain points you have probably experienced when using REST. I will then explain what GraphQL is and demonstrate how it solves these pain points. Next, I will discuss the disadvantages of GraphQL. Finally, I will provide some guidelines for choosing between REST and GraphQL. By the end of this talk, you will understand what GraphQL is and when to use it.
MICROSERVICES ABOVE THE CLOUD - DESIGNING THE INTERNATIONAL SPACE STATION FOR...DevOpsDays Tel Aviv
“The International Space Station has been orbiting the Earth for over 20 years. It was not launched fully formed, as a monolith in space. Instead, it is built out of dozens of individual modules, each with a dedicated role - life support, engineering, science, commercial applications and more. Each module (or container) functions as a microservice, adding additional capabilities to the whole. Not only do the modules need to function together, delivering both functional and non-functional capabilities, they were designed, developed and built by different countries on Earth and once launched into space (deployed in multiple different ways), had to work together - perfectly.
Despite the many (minor) reliability issues which have occurred over the decades, the ISS remains a highly reliable platform for cutting edge scientific and engineering research.
In this session I will describe the way the space station was developed and the lessons Site Reliability and DevOps Engineers can learn from it.
THE (IR)RATIONAL INCIDENT RESPONSE: HOW PSYCHOLOGICAL BIASES AFFECT INCIDENT ...DevOpsDays Tel Aviv
Have you ever felt you took every wrong turn possible in the process of mitigating a production incident? Did you go through a 3-hour hell during incident response and felt the incident wasn’t complex enough to justify the horrors you’ve experienced? Did it cause you to question your engineering or problem-solving skills?
Well, it’s only partially you. Our brain is wired to make decision-making simpler. In doing so, it exposes itself to biases, heuristics, and other quirks that may seem like “bad decisions” in hindsight.
In this talk, through real-life outages, we’ll project those psychological principles onto the world of production monitor, and incident management. As a responder, you’ll learn why those behavioral patterns emerge during production incidents and what can be done to limit their effect, and as a manager, you’ll learn how to enable and encourage a healthy environment to better support those patterns.
The word observable entered the English language roughly 400 years ago, but the concepts of what it means to see, comprehend, and understand something have been debated since time immemorial. Starting in the 19th century, a series of postulates and criteria coalesced into control theory, and it is from this body of knowledge that we gained the word “observability”. Today, with the advent of complex, interconnected computer systems, that word has taken on new meanings and connotations—some useful, some detrimental, and some just plain confusing.
In this talk, we’ll mix a little history, a touch of philosophy, and a healthy dose of reality, to demystify what observability means to us as professional computer people. We’ll tear through the marketing material and unearth foundational principles that will help us to build better infrastructure, write better software, and promote healthier business practices. Finally, we’ll explore some potential new avenues for discussion and understanding.
NUDGE AND SLUDGE: DRIVING SECURITY WITH DESIGN // J. WOLFGANG GOERLICH, Duo S...DevOpsDays Tel Aviv
Security people say users are the weakest link. But are they? When complying with security becomes too burdensome, users take shortcuts, find workarounds, and end up jeopardizing security. Blaming users is lazy and easy. Making security usable is time consuming and challenging. How does design research help us understand our customers? What patterns and principles drive secure behavior? How can we build empathy with customers and make the right thing to do the easiest thing to do? This session explores these questions, and provides examples of how design thinking and research can help us be more secure. We will walk through our creation of core user personas, design principles, and how these inform and direct our design choices and intent. Don’t blame your users anymore. Come learn how to be part of a future where usability leads security.
(Ignite) TAKE A HIKE: PREVENTING BATTERY CORROSION - LEAH VOGEL, CHEGGDevOpsDays Tel Aviv
This is for you, you rockstar, ninja coffee drinking workaholic who doesn’t know what a vacation day looks like. Even though you love your job and are dedicated and are super important, you need a break too.
We tend to think that working all the time is an effective practice while the truth is that finding the time for self care and recharging your batteries is beneficial for both you and your company. Additionally, if you’re a leader, you’re responsible for the wellbeing of your team. In this talk I’ll discuss the importance of taking time off of work and creating a positive culture surrounding vacation time.
BUILDING A DR PLAN FOR YOUR CLOUD INFRASTRUCTURE FROM THE GROUND UP, MOSHE BE...DevOpsDays Tel Aviv
This is a story about taking the cloud infrastructure of a successful company, that is still managed as infrastructure of a startup company, and rebuilding it to support the growing business requirements, especially around disaster recovery and business continuity. In the session I will share Next Insurance’s journey - where we started, where we are now and what we learned on the way so far. I will talk about how we managed to build our proven DR plans, and actually execute them in our DR drills. I will also talk about why we decided that the only way to prove your DR plan works is to continue running your business in the DR account and make it your production account, and go on to build your next DR account. If you are a part of a company that is about to embark on a similar journey, this session might equip you with some very useful insights on how to think about such a challenge, and some very useful and practical tips on how to execute it.
THE THREE DISCIPLINES OF CI/CD SECURITY, DANIEL KRIVELEVICH, Cider SecurityDevOpsDays Tel Aviv
CI/CD pipelines are quickly becoming the path of least resistance for would-be attackers into sensitive internal systems, gaining access to critical data, with minimal effort.
In the InfoSec world when we talk about CI/CD security often times this focuses on specific aspects of securing your pipeline - scanning the code, protecting secrets, securely managing code deployments, or even authentication and authorization mechanisms, but we rarely talk about all of these together.
After years of being in the trenches and realizing that the attack surface is growing and the threat landscape becoming more and more complex, it has become increasingly apparent that security teams need to adapt and modify strategies to keep up with the new reality of CI/CD protection, without compromising developer velocity.
In this talk I would like to propose a new way of thinking about CI/CD security - that encompasses the three disciplines that comprise CI/CD security - security in the pipeline, of the pipeline, and around the pipeline. Partial coverage of any or all of these disciplines simply will not cut it with the continuously evolving risk landscape. Security engineers need to address each of these aspects in their entirety to provide the full scope of coverage that modern organizations need, and I will take a deep dive on the challenges each introduce, and the approaches and techniques for mitigating them based on adversarial sec research.
The last two decades have been all about SaaS, with advantages that cannot be overstated. Except SaaS isn’t always an option, nor is it always the right choice: businesses in tightly regulated industries, or where information security is paramount, for example, will not - often can not - consider any software that isn’t under their control. For many software enterprises, this leads to the dreaded inevitability of on-premise deployment.
Fortunately, the situation today is dramatically different to a scant few years ago, let alone a decade or two: the same technologies that enable SaaS have also radically transformed on-prem deployment. Modern tools like Docker, Consul, ELK and Kubernetes - to name a few - can be leveraged to completely transform the experience for both customers and vendors. In this talk we’ll contrast the challenges and advantages of SaaS and on-prem, see how things have evolved in recent history, and see how modern on-prem deployment can be, if not pleasurable, at least relatively painless.
CONFIGURATION MANAGEMENT IN THE CLOUD NATIVE ERA, SHAHAR MINTZ, EggPackDevOpsDays Tel Aviv
Configuration Management is at the core of Ops. It’s the biggest enabler of any compute operation, small and big. In the past decade, we have switched from thinking about the machines we are configuring, to think about the software and services we are controlling. With that change of mindset, so did the tools we are using. Traditional tools like Puppet, chef, salt and Ansible are slowly declining while new tools such as Terraform, Pulumi, Helm and Kustomize are on the rise. In this talk I will try to describe the pain-points and the opportunities of this transformation as well as suggesting a future direction based on tools developed at the big-tech companies (Mainly facebook and google).
SOLVING THE DEVOPS CRISIS, ONE PERSON AT A TIME, CHRISTINA BABITSKI, DeveleapDevOpsDays Tel Aviv
We all know how hard it is to find DevOps engineers, and creating a diverse team despite gender and ethnicity bias? Nearly impossible. At this talk we will show our tools and methods implemented in the Develeap hiring process that overcome this inherited bias.
About 2 years ago we faced a crisis in our DevOps consulting company - the market demand was higher than we could supply. The traditional recruiting process depending on CV and artificial credentials was not working. So we came up with an alternative solution, and since then - we are growing exponentially and diversely. In this talk we will show the practical tools we deployed in order to increase our capacity, and we will show how these tools overcome the inherited bias in the process.
OPTIMIZING PERFORMANCE USING CONTINUOUS PRODUCTION PROFILING ,YONATAN GOLDSCH...DevOpsDays Tel Aviv
Everyone wants observability into their system, but find themselves with too many vendors and tools, each with its own API, SDK, agent and collectors.
With the increasing complexity of modern applications, continuous profiling methods and tools are gaining popularity among the Developer and Engineering communities. In this session, we cover what continuous profiling entails and why you should implement a profiler into your tech stack (if you haven’t done so already). We’ll then bring theory to practice and demonstrate a real-life scenario using gProfiler, a free open-source continuous profiling tool, covering Linux servers on multiple architectures (such as Graviton).
HOW TO SCALE YOUR ONCALL OPERATION, AND SURVIVE TO TELL, ANTON DRUKHDevOpsDays Tel Aviv
“Being oncall sucks. But it doesn’t have to!” We all heard this one before. Why is it though, that oncall still remains the biggest scar for many? What can a modern Engineering org do to rein the oncall dragons, and actually help people grow as professionals as they go oncall?
In this talk, I will present the main reasons why oncall is difficult in modern orgs, and describe ways to mitigate these hardships. The idea is that oncall is often the ‘backroom’ of an org, where all the technical and organizational debt take their toll. Be it unwieldy systems or broken processes between teams, oncall checks all the ‘weak boxes’. Therefore, the only way to win at oncall is to sort out your debts, starting with the organizational ones.
I will dive into the detail of the oncall rotation at Snyk as the org scaled from 1 to 220 people, what worked well about it, and what was less than perfect. I will discuss the decisions made to turn oncall into a building block of the org, and show a path to rein oncall in your organization as well.
FLYING BLIND - ACCESSIBILITY IN MONITORING, FEU MOUREK, IcingaDevOpsDays Tel Aviv
Do you know what it feels like to navigate as someone who can’t distinguish between green and red - looking at those badges that tell you whether something is broken or a-okay? I’ll give you a quick look into what it feels like with some examples from the monitoring tool Icinga Web 2.
We all tend to forget, that not everyone sees the world like we do. In this talk I’ll be walking you through different views in Icinga Web 2 with side-by-side comparisons for the default views and how different kinds of vision impairments affect those. The talks also features a few suggestions on how to improve colour schemes and making websites and webapps better to navigate with screen readers!
(Ignite) WHAT'S BURNING THROUGH YOUR CLOUD BILL - GIL BAHAT, CIDER SECURITYDevOpsDays Tel Aviv
Recent years have exposed startups to a major plague - cloud overspend. No vaccine appears to exist, plethora of tools and consultants fail to stop the bleeding. And yet, some companies manage to stay safe. What makes them different? Is it the tools? Is it the mindset? Is it developer training?
In this session we will examine the cultural factors involved in sound and responsible financial management in the cloud. We will also look at relevant system design elements and product design elements which enable us to spend wisely while our business runs smoothly.
Following this session, you should be better versed in cost-aware system design and some of the cultural and structural requirements to keeping your cloud bill low.
In every development process there is the question, do we invest enough on quality? Do we need to invest more? Every team knows about the dilemma of how many tests is the right amount of tests we should write. Is 80% test coverage is good enough? Maybe 90%? 100%? Should we invest more time in unit testing? Are we wasting too much time on unit-testing? Should we invest time on a faster rollback mechanism?
WIIFM
“Without data, you’re just another person with an opinion” - W. Edwards Deming
SLO Driven Development is a framework that helps the developers focus on impact and balance of every aspect of the dev process. When working currently with SLI, SLA, SLO and error budget you can learn where to invest in the development process.
Let’s talk about the importance of good SLOs and how they can help us improve our day2day
In this talk, I will share do's and don'ts on how to onboard successfully in a remote or hybrid setup including moving to a leadership role, speaking from my own journey onboarding remotely in the midst of a global pandemic.
I will share the tips that worked for me for successful onboarding, how I was able to be productive, impactful, and make a good impression on others. The key issues as an “onbordee” that I will talk about are how to create relationships, make yourself visible in the company, time management, and more.
Since I started working in Augury over 100 new employees have joined the company. Each month I give a session that is part of their general onboarding process. This became a crucial step due to the fact that we are now a hybrid company and a lot of people are onboarding remotely or in a hybrid setup for the first time in their lives.
I joined the company as a backend developer and a few months into my role, the squad leader position in my squad was up for grabs and I was fortunate enough to grab it :) This is my first official leadership role, which I also needed to onboard into in a hybrid setup. I will share the process that I built for myself on “How to lead”. Also, a word or two on the process we built as a squad on how we work in a hybrid setup, what are we optimizing for when we do meet and how to include new members of the team.
DON'T PANIC: GETTING YOUR INFRASTRUCTURE DRIFT UNDER CONTROL, ERAN BIBI, FireflyDevOpsDays Tel Aviv
In your ever-changing Infrastructure, some changes are intentional while others are not.
Drift is what happens whenever the real-world state of your infrastructure differs from the state defined in your configuration. This can happen for many reasons, sometimes it happens when adding or removing resources, other times when changing resource definitions upon resource termination or failure, and even when changes have been made manually or via other automation tools.
While Terraform itself can detect drifts, in most cases, you will be informed about it too late: just before you are about to deploy new changes to your infrastructure. What’s interesting about Terraform though, is that you can apply changes in two separate and distinct steps of “Planning” and “Applying”. This means that you have full visibility of what Terraform is planning on doing beforehand, and if you are satisfied with the changes, you can choose to apply them.
So how does this work? When something is changed intentionally, it will appear in the source code, and the Terraform plan will not do anything. However, if any part of the infrastructure has been changed manually, Terraform’s plan will identify this, and alert you to the change. In other words, if your IaC drifted from its expected state, then Terraform’s plan will, in fact, detect it.
Applying this simple solution can empower DevOps and developer velocity, with the reassurance and context for unexpected changes in your IaC, in near real-time. This talk will showcase real-world examples, and practical ways to apply this in your production environments while doing so safely and at the pace of your engineering cycles.
KEYNOTE | WHAT'S COMING IN THE NEXT 10 YEARS OF DEVOPS? // ELLEN CHISA, bolds...DevOpsDays Tel Aviv
Fifteen years ago, we'd barely started to use S3, and ten years ago DevOps was the new thing. Today, we can add a new tool, technology, or trick every week, and more and more work is shifted into the application developer's workflow. If security, resiliency, and incident response become part of product teams, where will we be ten years from now, and what should we do today to get ready?
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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!
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
7. We could participate with the right structure with people who care
deeply about developing AI in a way that is safe and is beneficial to
humanity.
The best defense is to empower as many people as possible to
have AI. If everyone has AI powers, then there's not any one person
or a small set of individuals who can have AI superpower.
8. GPT - Generative Pre-Trained
Transformer
• GPT - an innovation in the
Natural Language Processing
(NLP) space
• Takes an input such as a sentence
and tries to generate an
appropriate response.
• Unsupervised and Pre-trained
9. • A machine learning model that can look at
part of a sentence and predict the next
word.
• The GPT-2 was trained on a massive 40GB
dataset called WebText
• GPT2, is opened sourced
12. Sequential Text Prediction Model
• Has been known to be the
most advanced of its kind
• Can understand the
meaning of a sentence
and try to output a
meaningful sentence
• Public can use OpenAI
APIs to make use of the
GPT-3 model.
16. Reviews
• Big time-saver. It built out entire
React components for me.
• Copilot can autofill repetitive
code if it senses a pattern
• Besides, providing suggestions
regarding code completion, it is
also a very good spell detector.
18. • Copilots, KITe and TabNine Analyzes the code on the file context only
• Copilot uses smaller memory size only 12 billions parameters vs 175 billion on GPT-3
• Performance is reduced when the size of the model increases
• The models are relatively new they need to be trained
19. All the products are built to learn from our preferences and make better code
suggsetions. So the more we use them the better they will become.
20. Security risk - If adversary uploads malicious code in
GitHub in enough abundance and targeted for a
specific type of prompt, Codex or GPT-2 might pick up
those patterns during training and then output them in
response to user instructions.
Licensing -what happens when the tool reproduces
code snippets thar are licensed and under copyright
protection? GitHub has said there is 0.1 percent
chance of Copilot replicating the learned snippet of
code verbatim.
Vulnerabilities & Bugs - Code often contains bugs—and
so, given the vast quantity of unvetted code that
Copilot has processed, it is certain that the language
model will have learned from exploitable, buggy code.
21. DevOps and AI
operate together
• Code reviews
• Software testing
• Monitor systems
• Resource management
• Anomaly detection & AIOps
Editor's Notes
I am very excited to be here today.
Let me first introduce myself.My name is Meirav and I am a Director of engineering at GitHub owning npm the public registry of node packages, today I am not going to talk about the past or what my teams has been doing even though it's pretty interesting,
Today I am going to talk about the future. Specifically the future of developer tools.
But Before I talk about the future we should probably talk about the present and what is the problem with it.
As developers we have to do a lot of repetitive and sometimes even boring tasks, like creating authentication models, http clients or implementing CRUD operations. As developers we don't want to invent the wheel every time over and over again so
We go to the community to help us, there are a bunch of platforms for it, the most known ones are stack overflow. With very basic string syntax we search for what we are looking for and usually the search engine will give us back some Stack Overflow solution. In most cases we will copy and paste it (or some similar version of it) to our IDE.
This process is time consuming, error prone and distracting, we lose our focus and context every time we leave the IDE to the browser and make decisions on our code that might be risky. However, relying on the knowledge of the developer community is important and very helpful for all of us. So Instead of searching on the web for solutions, it seems that integrating something similar as stack overflow inside our IDE will make developers more efficient and less likely to make mistakes.
So with the continued growth of technology, prediction tools such as Intellij and AI systems a new line of developer tools emerges such as CoPilot , Kite and TabNine which I think are going to shape the future of developers. These tools have an AI engine that is able to give code suggestions for whole lines or entire functions right inside the IDE based on simple sentences.
Today I am going to share with you a bit more details about these tools and how they work and how we can all benefit from them.
I used a lot of big terms such as gpt-2 gpt -3 codex aמd more let me explain a bit more what do they mean..
OpenAI is an AI research lab company.
They are the ones who Created the generative pre-training (GPT) language models.
They Deliver API’s that can provide a general-purpose , you input some text , and the model will generate a text completion that attempts to match whatever context or pattern you gave it. The reason they develop such APIs is because of their vision of making AI accessible for everyone, they believe that if everyone has the power to use AI it will ensure that not any one person or a small set of individuals can have AI superpower.
GPT generative pre-training transformers is an innovation in the Natural Language Processing (NLP)
NLP are models which aim to make computers understand the unstructured language human speaks and retrieve meaningful pieces of information from it.
The groundbreaking change with GPT is that unlike NLP previous models it wasn't trained for a specific task it’s general and it’s using the unsupervised approach for the machine learning algorithm.
There are two types of Machine Learning algorithms: Supervised and Unsupervised. Supervised learning includes all those algorithms that must need labeled data and can verify what they have learned. Or in other words is able to identify if the answer is right or wrong.
Supervised learning isn’t something humans dont really do. Rather, most of the time, we collect knowledge based on our experience, or intuitions. That’s what roughly you can regard as unsupervised learning. The algorithm is not provided with any pre-assigned labels or scores for the training data.
In unsupervised learning, an AI system will group unsorted information according to similarities and differences even though there are no categories provided.
GPT-2 is A machine learning model that can look at part of a sentence and predict the next word. The most famous language models we all know are smartphone keyboards that suggest the next word based on what you’ve currently typed.
GPT-2 is open sourced and a direct scale-up of GPT, with more than 10X the parameters and trained on more than 10X the amount of data.The model uses 1.5 billion parameters and trained on a dataset of 8 million web pages.It is trained with a simple objective: predict the next word, given all of the previous words within some text.
First I will talk about Tebnine, their first version of their product was published in 2018. It works with 21 IDEs and 30 programming languages. Their AI engine called Deep TabNine is based on a GPT-2 model ,which I will explain a bit later what it is, but it short it can predict the next word, given all of the previous words within some text. . Deep TabNine was trained on 2 millions of GitHub’s open source repositories.
As you can see in this diagram the Plugin listens to the keyboard and uses the file you are working on as the context for the input sending the information to the Deep Tabnine model, which suggests solutions. The plugin registers the suggestion you choose in order to improve its suggestion for the next time. Tabnine runs locally on your machine by installing its models once you register.
The pros of having everything locally keeps your code secure and the suggestion mechanism becomes more suited to your preferences. However its known that the gpt-2 model requires a lot of computing power so if you dont have a strong machine you might feel that the plugin is slow or not responsive, another downside is that with local configuration you are losing the tool’s improvements coming from public usage.
Tabnine prefer the local configuration because this way your code never leaves the local machine. However they recently published a cloud version of their tools but you need to opt in to use it.
This is a short demo of Tabnine using Type secript. As you can see it looks very similar to any autocomplete plugin. However you can see that the suggestions are using past context such as parameter name.
GPT-3 Could Be Called a Sequential Text Prediction Model. Its the 3rd version release and the upgraded version of GPT-2. Version 3 takes the GPT model to a whole new level as it’s trained on 175 billion parameters (which is over 10x the size of, GPT-2).
GPT-3 can now go further with tasks such as answering questions, writing essays, text summarization, language translation, and generating computer code.
The algorithmic structure of GPT-3 has been known to be the most advanced of its kind thanks to the vast amount of data used to pre-train it.
To generate sentences after taking an input, GPT-3 uses the field of semantics to understand the meaning of language and try to output a meaningful sentence for the user. The model does not learn what is correct or incorrect as it does not use labelled or supervised.
OpenAI Codex is a direct descendant of GPT-3 that has been trained for programming tasks.
Its significantly more capable than GPT-3 in code generation, , because it was trained on a data set that includes a much larger concentration of public source code.
Due to memory and data limitations codex uses only 12 billion parameters not like the original GPT-3 model who uses 175 billion parameters.Making it less accurate then GPT-3.
GitHub recently launched Co-Pilot, which is the newest AI auto completion tool.
It currently works only on 3 IDES and 2 programming languages and is in a beta phase. What's interesting with Co-Pilot that its based on GPT-3 which can generate sequences of text not only single word like GPT-2.
Similarly to Tabnine the Copilot plugin communicates with the IDE sending the context of the current file to the AI model Codex. The model responses with text suggestions that are then displayed in the monitor. Once a suggestion has been chosen the plugin will send back telemetry to improve the suggestions in the future.
Unlike Tabnine , Codex is hosted on the cloud and shared with all users, making the community a significant player in their product.
Here is a short demo of copilot and how its able by reading a comment to suggest a full function.
There are a lot of positive reviews on how these tools are efficient. Let me read them.
There are also some critics….
There are many reasons why these products are still not that great , here are a few.
For now all products work on the context of a single file, that does not work well on big projects. Where for instance you define functions on different files.
It was also found that GPT’s models efficiently decrease when we increase the number parameters, so adding parameters might give us more accurate results but it will take more time for getting the result. Also we need more data to train the models for more parameters which willrequire to scan private repositories, not an easy task . If you recall I mentioned the codex was trained on 12 Billion parameters not 175 Billion like the GPT-3 original model.
The tools are relatively new, they need to be trained and used to become better.
For most of these reasons there isn’t much that we can actually do , we just need to wait for the next version improvements , however
We can help train products by using them.
This way the developers community can help shape the future of these tools.
Now, I am sure that some of you might be asking yourself, so shoul I be looking for a new job? Are these tools going to replace us developers?
My short and simple answer is NO. It might change it though.
Replacing developers isn’t the aim or something that I think would ever happen. Currently the engine can’t understand a real-world problem, plan a solution, build it and show it off to the world — these tasks are what developers are good at and that will probably won’t change.
However, with the power of the developer community , tools like Copilot and Tabnine can be a game changer in the programming industry , not by stealing jobs, but by making developers more productive. We’ve been improving developers’ experience (code editors, debugging tools, etc.) since the last century, and now with the rise of AI technology, we can expect the creation of many more tools using it. New technologies usually create new jobs!
These really cool products also come with challenges yet to be solved. The most straightforward one is the security concern. A sophisticated attacker can target malicious code to a specific prompt that can be picked up by the models, causing users to use malwared code.
Licensing issues, what happens when the tool reproduces code snippets that are licensed and under copyright protection?
Vulnerabilities & Bugs - Code often contains bugs and given the vast quantity of unvetted code that Copilot and Tabnine has processed, it is certain that the language model has learned from exploitable, buggy code and might suggest it.
So what can we do about it?
Don’t blindly accept the tool’s recommendations, same as you will never copy paste blindly a solution from stackoverflow.
Don’t let unexperienced developers use the tool without proper guidance , these tools are not ways to learn how to code properly.
Use Automated tools for vulnerabilities scans, for instance depndabot or component government
Improve your code reviewing skills as its required before accepting any suggestion from these tools.
Today I spoke briefly on one part of the development cycle but I believe that the future of DevOps will be AI-driven. Humans are not equipped to handle the massive volumes of data and computing in daily operations of high traffic products, artificial intelligence will become a critical tool for computing analyzing and transforming how teams develop, deliver, deploy, and manage applications.
DevOps and AI can become interdependent.
DevOps is a business-driven approach to deliver software, and AI is the technology that can be integrated into the system for enhanced functionality. With the help of AI, DevOps teams can test, code, release, and monitor software more efficiently.
Now that you know about these tools and the algorithms it uses, I hope you will not be afraid of AI being an integrated part of the developer's life cycle. rather excited about it and maybe you will even take action and help shape it.
Thank you!