Wednesday, August 3, 2022
In the session I will be discussing about Tezos, how to build smart contracts using tezos. How Web2.0 is different from Web3.0. At the end, Question and Answers could be taken.
This session will aim to introduce the audience to the basics of cloud security and the security model for Public clouds. Further, the emphasis will be mostly on Cloud Security Posture management, introduction and overview of cloud native CSPM services (like AWS Security Hub, Azure Defender ) and a short demo on how these services help automate best practice checks, aggregates alerts, and support automated remediation.
A complex data flow is a set of operations to extract information from multiple sources, copy them into multiple data targets while using extract, transformations, joins, filters, and sorts to refine the results.
These are precisely the capabilities that the new open modern data stack provides us. Spark and other tools allow us to develop complex data flow on large-scale data.
Chaos Engineering concepts discuss the principles of experimenting on a distributed system to build confidence in the system’s capability to withstand turbulent conditions in production. Or, how stable is your distributed system?
Let's see how we combine these two worlds to build more stability and reliability into our dataops.
A Security Champions program is key to a modern cybersecurity strategy. Learn how to start your own.
Known vulnerabilities are a fact of life, especially with open source software. Cyber Security Intelligence tracked over 18,000 CVEs and at least 66 Zero-Day Vulnerabilities in 2021. According to the Sonatype 2020 DevSecOps Community Survey, 24% of organizations surveyed revealed a breach within one of their web applications in the prior 12 months. The average cost of a data breach was $4.24 million, according to the IBM 2021 Cost of a Data Breach Report.
The only way to keep up with the fast pace and demands of cybersecurity today is to scale up the security expertise of your technical workforce. This talk explains why setting up a Security Champions program is such an important part of an overall security strategy. Then it goes into detail on how to get your own Security Champions program running, the realistic costs of such a program, and what benefits you can expect from it. We’ll talk about grassroots programs at three companies: IBM, Red Hat, and NatWest Group.
A Security Champions program is repeatable, cost effective, and can be applied to a broad range of industries. Attendees will come away with a step by step approach that can improve cybersecurity practices at their own companies.
Simplicity certainly has its virtues. The KISS Principle [keep it super simple] favors simplicity over complexity in system design and operation. As software engineers are vanguarding into innovation work to deliver features, from the outside they might seem like they thrive on complexity constantly solving unknowns. Though there is a long road between the idea and production. Even when developers are on and off-boarded to different teams, mileage might vary in the same organization due to very different paths to production.
Cognitive load and context switching can really slow feature velocity down. Also having overly complex routes to production puts a damper on Developer Experience [DX]. With what seems like a bulk share of the technology verticals shifting left since they can be provided as code/configuration e.g YAML, expertise can be lost without a proper platform engineering domain. A major goal of platform engineering is to keep the experience similar across teams.
Learn in this session about keeping goals to KISS and how that can be achieved to even create a “consistent one-line developer experience” [they say the easy button is hard to create]. Reducing toil and complexity can lower the bar of entry for software engineers to focus more on innovation. As technologies and ecosystems change, providing a consistent experience is key. Supporting faster iteration allows organizations to consume new technology and build internal expertise quicker and provide a quicker time to value.
Git is the defacto standard version control system in use today. Every developer learns the basics of add, commit, branch, merge, pull, and push, and that is about all they learn about Git.
However, if you ask how Git actually works under the covers, most people will tell you they don't really know. Worse yet, when most developers see Git output messages like "detached HEAD state" or "CONFLICT (content): Merge conflict", they get a stress-induced panic.
This session will peel back the shroud of mystery that envelops Git, showing that there is nothing overly complex or terrifying about the inner workings of the world's most popular version control system. This talk is for everyone, from the complete Git novice to folks who have been pushing code for years but maybe have never stopped to look at how Git does its thing.
Being an elite dev team isn't just about merging faster, it's about being able to deliver consistently. Developer happiness and retention is often based on the type of work a team is doing and the amount of frustration involved trying to get code merged. In this session, we will discover how elite teams are creating a state of continuous merge by optimizing non-coding time and customizing how Pull Requests are treated based on their unique characteristics.
Developers who still thumb their nose at low-code application development probably harbor a number of misconceptions that are quickly becoming outdated. False notions that low-code “is only for non-professionals or ‘citizen developers’,” “is just for prototyping,” or “can’t handle enterprise-grade scalability, performance and security needs” only postpone developers from realizing its actual potential. In truth, low-code done right can multiply efficiency and put advanced emerging technological capabilities within any developer’s grasp.
The key advantage of low-code? API connectivity. The best low-code strategy will give developers a drag-and-drop UI for assembling Lego-like code blocks into complete applications. Get humming and you can make initial application development and iterative improvements 10x faster (at a minimum) than hardcoding. Low-code also automates away the block-and-tackle busywork of application development (read: a more enjoyable developer experience), while making access to emerging capabilities like AI/ML, big data, IoT, voice and messaging, blockchain, and APIs as simple as dragging an icon across a screen.
This Dev Innovation Summit talk will dig into the latest ideas and best practices that developers should know about low-code as they overcome still-common misconceptions, and as they vet potential paths forward for production use cases.
Application security is a problem in the development world, with expensive, complex, and sometimes only piecemeal solutions. But fix the problems you must, as there will come a time when someone will try to hack your app, probably (hopefully) your security team or a penetration tester. Once they find those problems, you have to then go back and fix the security bugs, 6 months to a year later, and that can be a real pain.
In this talk, you’ll learn how to turn this issue on its head, with unit security testing. Unit security testing is a tool we developed here at Bright to solve the problem of needing to rely on an external tool or team instead of being self-reliant in your approach to writing secure code. By integrating our DAST engine with unit tests, you, the developer, are empowered with the know-how of how to find vulnerabilities as early as possible in the SDLC, without the security team getting involved and having to fix problems far later on in the process.
In this session, you will learn
How to write different types of tests and which issues are important to test for
How to fix some vulnerabilities that our tests find in an example web application
An ounce of prevention is worth a pound of cure, so you will also learn how to defend against some common attacks from the get-go as you are writing code.
In this session, we'll explore a new deployment experience for .NET developers working on AWS, from within Visual Studio and at the command line. Come and find out why we built a new, opinionated experience, how it helps you quickly and easily move your .NET applications to the cloud with minimal knowledge of AWS, and how you can easily customize the experience for your teams.
With the explosion of various developer tools and services in recent years, it's tempting to think that we've entered a golden age for software development productivity. However, contrary to popular belief, developer productivity is in fact declining, and this phenomenon risks bringing modern software development to a grinding halt in many organizations. In this talk, Nnamdi Iregbulem reveals a framework for thinking about developer productivity and charts a path toward reversing this dire trend.
In this session, Sam Dillard (Sr PM Edge at InfluxData), will discuss the needs and challenges of edge computing in the context of an edge-cloud topology. While cloud analytics is emphasized in a lot of the world, the need for edge analytics is not shrinking but rather growing. Applications have become more distributed and the data pertaining to them have become more voluminous.
Sam will discuss InfluxDB’s Edge Data Replication feature that leverages existing edge analytical capabilities of the database in order to enable edge-cloud data pipelines that fit to any business needs and constraints.
This feature automatically streams data on-write from an edge dataset to a cloud one of the user’s choosing. Adding to this automatic replication of writes, is a durability designed to withstand network outages. This feature lays the groundwork for a much larger story about how the edge and cloud can work together to produce global time series data architectures!
In this webinar, Sam will cover:
- How we define edge
- Properties of edge vs cloud
- Discuss problems faced with edge-cloud architectures
- Details of the edge replication feature and how it combined with InfluxDB solves those problems
- Demo an edge-cloud downsampling use case that retains data shape
This session highlights salient learnings from speaker’s long experience of managing software engineers and managers. The session covers various software engineering habits and attitudes that can propel any software developer into a high performance state. Various elements of engineering practices about operational excellence, innovation, product-thinking, and technical leadership are discussed with examples.
There are immutable laws and rules for many things, from nature to physics to karma. Observability, with its innate complexity, also has its own immutable rules, which transform elastic and ephemeral rote reactions to a clear and concise approach and understanding of your environment.
Join us to learn the rules you should understand with your approach to observability, including:
The impact of open and flexible data ingest and instrumentation
The impact of data retention and aggregation on blind spot analysis
The impact of data accuracy and precision on observability
The innate drive for seamless workflow integration, from alerts to resolution
Why drift and skew could lead to erroneous conclusions
As cities and towns across the country continue to grow, traffic, congestion, and the lack of parking are becoming more common. Although improving infrastructure, investing in roads, and adopting common sense policies can help alleviate the problem—in our day and age, technology can be a crucial tool in our efforts to address these challenges. How can machine learning facilitate commutes across the country while making our country’s roads more efficient? In the same breath, how can we help local municipalities tackle the challenges of outdated infrastructure and modus operandi? By using various data sets—from weather, traffic, and parking—machine learning is a crucial tool in unlocking our country’s roads for more efficient rides and overall smooth road experiences. These data points, along with the strengths of machine learning, have the potential to empower local governments across the country to address the challenges they face in terms of intra-city transportation. Likewise, the key to adopting policies that benefit commuters and citizens lies within these learnings. Creating efficient roads and setting riders free is possible by collecting key data and machine learning.
OPEN TALK: You Can’t Code Career Development - A Technical Professional’s Guide to Soft Skills in the WorkplaceJoin on Hopin
Technical aptitude will take an engineer far in their career but ultimately it's the ability to navigate workplace environments through the refinement of soft skills that will determine the heights that your career can scale.
In this session, Vanky Kataria (Evangelist - Global Communities) will share how focusing on soft skills can play an instrumental role in your career development and explain how engineers benefit from thinking about their workplaces beyond their roles and responsibilities as technical professionals.
Thursday, August 4, 2022
Lewis will discuss what it takes to lead engineering teams building blockchain-powered products to keep up with mainstream demand. From implementing effective hiring methods to strategizing team roles and responsibilities, Lewis will share how technical leaders can hire and inspire high-impact teams to build industry-leading products. He will integrate key lessons learned while scaling the engineering team at Blockchain.com and increasing technical headcount.
Web development is a fast changing ecosystem with new technologies and libraries being created on the go. To stay on top of everything, we have to make it as easy and accessible as possible to experiment and use these technologies with little to no setup. In this talk, we'd be exploring the world of Browser-based IDEs and how they are changing the ecosystem - improving collaboration, streamlined experiences and preconfigured development environments.
As applications and devices integrate deeper into our professional and personal lives, being able to deliver personalized real-time experiences is no longer a “nice-to-have” – it’s a competitive necessity for any digital service. But with new experiences come new challenges, especially at the volume of data needed for real-time delivery.
This talk will cover the ways in which traditional methods of data distribution are transitioning to event-driven architectures, and walk through examples of how wrangling-at-the-edge augments traditional stream processing to provide efficient, personalized data at Internet scale.
Generic, horizontal SaaS solutions fall flat on their face when trying to tackle problems inherent to complex and highly regulated industries such as life sciences. To solve real-world customer problems, SaaS providers need customizations, compliance, and domain understanding. Enter vertical SaaS. Dipanwita can share her experiences building a vertical SaaS company in a horizontal SaaS world, the driving factors, challenges, and long-term opportunities.