Learning Through Answering - Eran Zimbler, Rumble News - DevOpsDays Tel Aviv 2015

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DevOpsDays Tel Aviv

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Learning thorugh answering
By Eran Zimbler
10 more seconds of this useless slide
DevOps lead at Rumble News

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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.

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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.

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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.

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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.

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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).

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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.

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“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.

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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.

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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.

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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.

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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.

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Presenting the concept of spiral history in computer technology, with very little examples. spiral history is a metaphor for how we do the same stuff every few years but they work out a little bit different. “Those who cannot remember the past are condemned to repeat it” or so it is said, in technology and even more specifically in computer science it still holds true, however in computer science it is not exactly repeating and sometimes in our very young field forgetting the past actually helps since what haven’t worked before might work today. 5 minutes for 2 examples of spiral history and i hope you will accept this theory.

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Everyone wants observability into their system, but find themselves with too many vendors and tools, each with its own API, SDK, agent and collectors. In this talk I will present OpenTelemetry, an ambitious open source project with the promise of a unified framework for collecting observability data. With OpenTelemetry you could instrument your application in a vendor-agnostic way, and then analyze the telemetry data in your backend tool of choice, whether Prometheus, Jaeger, Zipkin, or others. I will cover the current state of the various projects of OpenTelemetry (across programming languages, exporters, receivers, protocols), some of which not even GA yet, and provide useful guidance on how to get started with it.

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One of the hardest challenges data teams face today is selecting which tools to use in their workflow. Marketing messages are vague, and you continuously hear of new buzzwords you “just have to have in your stack”. There is a constant stream of new tools, open-source and proprietary that make buyer’s remorse especially bad. I call it “MLOps Fatigue”. This talk will not discuss a specific MLOps tool, but instead present guidelines and mental models for how to think about the problems you and your team are facing, and how to select the best tools for the task. We will review a few example problems, analyze them, and suggest Open Source solutions for them. We will provide a mental framework that will help tackle future problems you might face and extract the concrete value each tool provides. What you’ll learn You’ll learn what signals to watch for to notice you might have MLOps fatigue. How to define the challenge you’re facing and which questions to ask in order to build a “decision tree” for selecting the best-suited tools for the task. A few examples for using this framework in practice on challenges involving data management and automating training/pipeline tasks 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.

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