What DevOps is Not
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The document discusses the results of a study on the impact of climate change on coffee production. Researchers found that suitable land for coffee production could decline by up to 50% by 2050 due to rising temperatures and changing rainfall patterns associated with climate change. Arabica coffee was found to be most at risk, as its growing regions would shrink significantly according to the study's climate models. The study concludes that climate change poses a serious threat to the coffee industry worldwide if steps are not taken to mitigate future warming and help farmers adapt to the new conditions.
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PHP performance 101: so you need to use a database
Being involved in performance audits on systems of every size, from start-up sites hacked together overnight, to a ginormous applications built by world-recognized brand companies, I’ve seen a lot of interesting (and sometimes very unique) performance issues in every level of the stack: code, architecture, databases (sometimes all of the above). But there are a few particular, very “Performance 101″, issues that (unfortunately) appear in a lot of code bases. In this talk I present the most common database-related performance bottlenecks that can happen in most PHP applications.
Production testing through monitoring
Identifying and fixing issues in new code before deploying it to production is important for every software development cycle. However, relying on traditional testing methods in the age of Internet-scale data driven problems may prove to be incomplete. Identifying and fixing the issues in production quickly is crucial, but it requires insight into usage patterns and trends across the whole architecture and application logic. In this talk I touch on inefficiencies of some of the most common testing methods, provide real world examples of discovering odd edge cases with monitoring and offer recommendations on top-down metric instrumentation to help DevOps organizations with identifying and acting on business-effecting problems.
What kids can teach us about building effective teams
At Teaching Strategies we help create learning environment for children to assess and support their needs through formative years. We take a whole-child educational approach -- giving educators a framework to assess each child's across multiple developmental areas, including literacy, cognitive, physical and social-emotional, among others. But sometimes, the traits and outcomes we see in kids can (and should) be translated to adults to help inform some of the decisions made in building effective and collaborative teams. In this talk I'll cover a few key areas is which we all can learn from children.
Как измерить успех
Никто не оспаривает пользу в идентификации и устранении проблем, полагаясь на традиционные методы тестирования, но в эпоху масштабных систем с интенсивным трафиком этого не достаточно. Способность быстро выявлять и устранять проблемы в production, а не в development, имеет приоритетное значение и требует понимания моделей использования и тенденций по всей системе. С этой проблемой помогает справляться правильная стратегия по системному мониторингу. Но достаточно ли иметь всю информацию о работе систем и приложений, чтобы понять, преуспевает ли ваш бизнес?
Bias in tech
Every day we make decisions. Those decisions can be around improving your product, process, company; sometimes even bettering yourself. But many of our decisions are not made consciously. We all have biases. And even though most of our biases are unconscious, those biases still can get in a way of making the best possible decision. This is not a talk about gender and racial bias in tech hiring (altho I will also touch on hiring procedures and biases). This is a talk about different biases that skew our technical decision process that we deal with in out day-to-day operations.
Developing applications for performance
Scalability != performance. In fact, having to scale your architecture significantly with growth may be a symptom of a poor application performance. Yet, with the rise of cloud and the abundance of automation and container tools that simplify scalability aspect of your system, performance considerations are often pushed to the back row. Building systems for high performance is not easy. It requires a lot of considerations - from technology selection to design decisions. And "the cloud" does not magically solve those problems for you. In this talk I'll discuss common performance pitfalls across the stack and talk about useful techniques and examples that every application could benefit from.
Building the right architecture for you
In the world of agile methodologies, Minimal Viable Product (MVP) is a widely accepted concept among application developers. MVP is geared towards developing just enough features to gather validated learning about the product and its continued development. Not only this approach improves time to market, but it is also significantly cheaper from the perspective of both the upfront investment and cost of change to the direction of the product based on feedback. However, that same mentality haven't really crossed into the realm of underlying architecture.
As an industry, we're fascinated with solutions that are presented and blogged about by companies working with the bleeding edge technologies. Problem is - most of us don't have the problems those companies are trying to solve. But many don't try to find a solution that matches the problem at hand. That's why reference architectures are treated as tutorials instead of references and technologies are picked based on their rankings on Reddit. In this talk I will discuss some of the anti-patterns for technology selection and architecture design as well as talk about the approach to designing a minimum viable architecture for your use case.
Lost art of troubleshooting
There are a lot of great things about the cloud, but the "destroy and rebuild" philosophy which is really good for building a continuous delivery pipeline, really sucks when applied to troubleshooting production problems. When your application goes haywire, the most valuable engineering skill is not the the ability to bring up a copy of your system or even the knowledge of your technology stack (although it doesn't hurt). It is the skill of understanding and solving problems.
Finding the root cause of the issue and mitigating it with minimal disruption in production is a must-have skill for engineers responsible for managing and maintaining production systems, which nowadays includes ops, dbas and devs alike. In this talk I will discuss the skills required to troubleshoot complex systems, traits that prevent engineers from being successful at troubleshooting and discuss some techniques and tips and trick for troubleshooting complex systems in production.
Recommended
PHP performance 101: so you need to use a database
Being involved in performance audits on systems of every size, from start-up sites hacked together overnight, to a ginormous applications built by world-recognized brand companies, I’ve seen a lot of interesting (and sometimes very unique) performance issues in every level of the stack: code, architecture, databases (sometimes all of the above). But there are a few particular, very “Performance 101″, issues that (unfortunately) appear in a lot of code bases. In this talk I present the most common database-related performance bottlenecks that can happen in most PHP applications.
Production testing through monitoring
Identifying and fixing issues in new code before deploying it to production is important for every software development cycle. However, relying on traditional testing methods in the age of Internet-scale data driven problems may prove to be incomplete. Identifying and fixing the issues in production quickly is crucial, but it requires insight into usage patterns and trends across the whole architecture and application logic. In this talk I touch on inefficiencies of some of the most common testing methods, provide real world examples of discovering odd edge cases with monitoring and offer recommendations on top-down metric instrumentation to help DevOps organizations with identifying and acting on business-effecting problems.
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At Teaching Strategies we help create learning environment for children to assess and support their needs through formative years. We take a whole-child educational approach -- giving educators a framework to assess each child's across multiple developmental areas, including literacy, cognitive, physical and social-emotional, among others. But sometimes, the traits and outcomes we see in kids can (and should) be translated to adults to help inform some of the decisions made in building effective and collaborative teams. In this talk I'll cover a few key areas is which we all can learn from children.
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Никто не оспаривает пользу в идентификации и устранении проблем, полагаясь на традиционные методы тестирования, но в эпоху масштабных систем с интенсивным трафиком этого не достаточно. Способность быстро выявлять и устранять проблемы в production, а не в development, имеет приоритетное значение и требует понимания моделей использования и тенденций по всей системе. С этой проблемой помогает справляться правильная стратегия по системному мониторингу. Но достаточно ли иметь всю информацию о работе систем и приложений, чтобы понять, преуспевает ли ваш бизнес?
Bias in tech
Every day we make decisions. Those decisions can be around improving your product, process, company; sometimes even bettering yourself. But many of our decisions are not made consciously. We all have biases. And even though most of our biases are unconscious, those biases still can get in a way of making the best possible decision. This is not a talk about gender and racial bias in tech hiring (altho I will also touch on hiring procedures and biases). This is a talk about different biases that skew our technical decision process that we deal with in out day-to-day operations.
Developing applications for performance
Scalability != performance. In fact, having to scale your architecture significantly with growth may be a symptom of a poor application performance. Yet, with the rise of cloud and the abundance of automation and container tools that simplify scalability aspect of your system, performance considerations are often pushed to the back row. Building systems for high performance is not easy. It requires a lot of considerations - from technology selection to design decisions. And "the cloud" does not magically solve those problems for you. In this talk I'll discuss common performance pitfalls across the stack and talk about useful techniques and examples that every application could benefit from.
Building the right architecture for you
In the world of agile methodologies, Minimal Viable Product (MVP) is a widely accepted concept among application developers. MVP is geared towards developing just enough features to gather validated learning about the product and its continued development. Not only this approach improves time to market, but it is also significantly cheaper from the perspective of both the upfront investment and cost of change to the direction of the product based on feedback. However, that same mentality haven't really crossed into the realm of underlying architecture.
As an industry, we're fascinated with solutions that are presented and blogged about by companies working with the bleeding edge technologies. Problem is - most of us don't have the problems those companies are trying to solve. But many don't try to find a solution that matches the problem at hand. That's why reference architectures are treated as tutorials instead of references and technologies are picked based on their rankings on Reddit. In this talk I will discuss some of the anti-patterns for technology selection and architecture design as well as talk about the approach to designing a minimum viable architecture for your use case.
Lost art of troubleshooting
There are a lot of great things about the cloud, but the "destroy and rebuild" philosophy which is really good for building a continuous delivery pipeline, really sucks when applied to troubleshooting production problems. When your application goes haywire, the most valuable engineering skill is not the the ability to bring up a copy of your system or even the knowledge of your technology stack (although it doesn't hurt). It is the skill of understanding and solving problems.
Finding the root cause of the issue and mitigating it with minimal disruption in production is a must-have skill for engineers responsible for managing and maintaining production systems, which nowadays includes ops, dbas and devs alike. In this talk I will discuss the skills required to troubleshoot complex systems, traits that prevent engineers from being successful at troubleshooting and discuss some techniques and tips and trick for troubleshooting complex systems in production.
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With emergence of DevOps approach to application development, deployment and management developers get more and more involved in day-to-day system operations. Lately, there has been a popular point of view that developers should be included in oncall rotation on equal grounds with sys admins. While I don't fully subscribe to that mentality, there are certain processes that must be implemented by every organization to get developers involved in production operation of the software they built. In this talk I'll walk through different aspects of operational oncall responsibilities and discuss ways in which developers should (and should not) be involved in operation of production systems.
Database performance 101
Being involved in performance audits on systems of every size, from start-up sites hacked together overnight, to a ginormous applications built by world-recognized brand companies, I’ve seen a lot of interesting (and sometimes very unique) performance issues in every level of the stack: code, architecture, databases (sometimes all of the above). But there are a few particular, very “Performance 101″, issues that (unfortunately) appear in a lot of code bases. In this talk I'll present the most common database-related performance bottlenecks that can happen in most applications.
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One of the major risks when implementing a third party service is the reliance on the availability of that third party service. The service that you have no control over. And no matter how large or successful the service that you’re using is – it will go down at one point or another. This talk is intended to give a real-world disaster example of heavy integration with external social network and practical tips to mitigate or avoid similar issues.
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Some developers believe that monitoring is a function of operations team. Some operations teams firmly believe that monitoring the systems they maintain is sufficient to run the business successfully. Most of them are wrong. The complexity of today’s applications have gone far and beyond the capabilities of “traditional” system-level monitoring tools and approaches and requires much broader knowledge of business and application as a whole. The goal of DevOps is to connect all aspects of application development and operations, and monitoring provides visibility and troubleshooting tools to accomplish that goal.
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The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
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Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
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Malware and malicious payload trends
Cyberattack types and targets
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Lately, I've been having a lot of conversations with conference goers. Most attend numerous conferences, have great hallway discussions and yet are too hesitant to submit a proposal with their story. The reasons vary, but the hesitation (or even fear) to present a topic publicly is pretty common in our industry. Being a fairly new speaker myself, I can relate to a lot of these concerns. Hence the reason for this talk.
This talk covers a few of the more common objections to public speaking, recommendations on how to address them as well as tips for new (and maybe veteran) speakers. Everyone has a story. That story should be heard.
BizOps and you
There are plenty of materials on getting development and operations to work together. More conversations are happening around inclusion of other technology groups, such as DBAs and QA testers, into DevOps processes. That said, DevOps conversations has been largely devoid of talk about BizOps place at the table. The goal for any tech-centric group is not to build and/or architect the best technology, but rather to effectively support business. Yet, many of those groups are either not privy to or don't bother understanding the business goals and overarching effects of the technical decisions made. In this talk I'll discuss key areas and feedback points in every DevOps process fit for inclusion of business units in order to align technology and business goals and make your life easier.
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With emergence of DevOps approach to application development, deployment and management developers get more and more involved in day-to-day system operations. Lately, there has been a popular point of view that developers should be included in oncall rotation on equal grounds with sys admins. While I don't fully subscribe to that mentality, there are certain processes that must be implemented by every organization to get developers involved in production operation of the software they built. In this talk I'll walk through different aspects of operational oncall responsibilities and discuss ways in which developers should (and should not) be involved in operation of production systems.
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Some developers believe that monitoring is a function of operations team. Some operations teams firmly believe that monitoring the systems they maintain is sufficient to run the business successfully. Most of them are wrong. The complexity of today’s applications have gone far and beyond the capabilities of “traditional” system-level monitoring tools and approaches and requires much broader knowledge of business and application as a whole. The goal of DevOps is to connect all aspects of application development and operations, and monitoring provides visibility and troubleshooting tools to accomplish that goal.
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👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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Epistemic Interaction - tuning interfaces to provide information for AI support
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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