This document discusses measuring microservices by monitoring message flow rates and patterns. It suggests measuring:
- Message flow rates after deploying new services to detect any breaks
- Common message patterns like actor, subscriber, chain, and tree to validate expected behavior
- Invariants like the relationship between add-item and sales-tax messages to ensure the system is functioning correctly
Measuring these things provides visibility into the health and risks of the distributed system.
Enterprise software teams are starting to understand and embrace the
power of Node.js. They face a serious challenge: integrating Node.js
into the legacy systems they maintain, and migrating these system over
time into Node.js architectures. This talk is a pathfinder for those
facing this task. As a community we must proactively engage with the
Java and .Net communities, and create a deeper understanding of the
"Node.js Way".
After building serverless applications for quite a few years, we decided to share some important pieces and concepts for production-ready serverless projects.
This time: Lambda Reserved Concurrency.
More Information: https://lnkd.in/dRxHdrCa
When we started building serverless applications back in 2017, there was quite a lot to learn.
So we'd like to share some mistakes, important pieces, and concepts for production-ready serverless projects.
This time: Retries.
More Information:
API-Retries: https://lnkd.in/dVwwEsat
Lambda-Retries: https://lnkd.in/dEs6xXyb
SQS-Retries: https://lnkd.in/dPm2x7ZT
In this talk, I'll explain how the current web applications are no more simple DB projections but more complex and distributed applications that require technologies and architectures different from the past. We start with a simple & classic application to move to a more complex and feature-rich application that need a more advanced architecture.
After building serverless applications for quite a few years, we decided to share some important pieces and concepts for production-ready serverless projects.
This time: Circuit Breaker.
More Information: https://lnkd.in/dExSRsjp
Enterprise software teams are starting to understand and embrace the
power of Node.js. They face a serious challenge: integrating Node.js
into the legacy systems they maintain, and migrating these system over
time into Node.js architectures. This talk is a pathfinder for those
facing this task. As a community we must proactively engage with the
Java and .Net communities, and create a deeper understanding of the
"Node.js Way".
After building serverless applications for quite a few years, we decided to share some important pieces and concepts for production-ready serverless projects.
This time: Lambda Reserved Concurrency.
More Information: https://lnkd.in/dRxHdrCa
When we started building serverless applications back in 2017, there was quite a lot to learn.
So we'd like to share some mistakes, important pieces, and concepts for production-ready serverless projects.
This time: Retries.
More Information:
API-Retries: https://lnkd.in/dVwwEsat
Lambda-Retries: https://lnkd.in/dEs6xXyb
SQS-Retries: https://lnkd.in/dPm2x7ZT
In this talk, I'll explain how the current web applications are no more simple DB projections but more complex and distributed applications that require technologies and architectures different from the past. We start with a simple & classic application to move to a more complex and feature-rich application that need a more advanced architecture.
After building serverless applications for quite a few years, we decided to share some important pieces and concepts for production-ready serverless projects.
This time: Circuit Breaker.
More Information: https://lnkd.in/dExSRsjp
FOWA London 2015
Micro-service systems deliver wonderful adaptability to business needs, easy scalability, and low-risk deployment. What's not to like? You also end up with a system that's hard to understand, measure and predict. Traditional approaches to monitoring simply aren't powerful enough to handle the emergent properties of a system with lots of moving parts. The solution is to apply the scientific method! Anything can be measured. Uncertainty can be reduced, and stability can be an emergent property. We just have to learn the lessons that the natural world can teach us.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data, incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data, incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in
fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data,
incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard
challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier
with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant
features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in
fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data,
incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard
challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier
with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant
features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
In the era of information technology, information sharing has become very easy and fast. Many platforms are available for users to share information anywhere across the world. Among all information sharing mediums, email is the simplest, cheapest, and the most rapid method of information sharing worldwide. But, due to their simplicity, emails are vulnerable to different kinds of attacks, and the most common and dangerous one is spam. No one wants to receive emails not related to their interest because they waste receivers’ time and resources. Besides, these emails can have malicious content hidden in the form of attachments or URLs that may lead to the host system’s security breaches. Spam is any irrelevant and unwanted message or email sent by the attacker to a significant number of recipients by using emails or any other medium of information sharing. So, it requires an immense demand for the security of the email system. Spam emails may carry viruses, rats, and Trojans. Attackers mostly use this technique for luring users towards online services. They may send spam emails that contain attachments with the multiple-file extension, packed URLs that lead the user to malicious and spamming websites and end up with some sort of data or financial fraud and identify theft. Many email providers allow their users to make keywords base rules that automatically filter emails. Still, this approach is not very useful because it is difficult, and users do not want to customize their emails, due to which spammers attack their email accounts
Moving to Microservices with the Help of Distributed TracesKP Kaiser
Moving away from a monolith to a microservices architecture is a process fraught with hidden challenges. There's legacy code, infrastructure, and organizational processes that all need to change, in order to make the switch successful.
But microservices come with a huge increase in infrastructure complexity. We'll see how distributed traces empower developers to work with greater autonomy, in increasingly complex deployment environments.
Are you ready for the next attack? Reviewing the SP Security ChecklistAPNIC
Are you ready for the next attack? Reviewing the SP Security Checklist, by Barry Green.
A presentation given at the APNIC 40 Opening Ceremony and Keynotes session on Tue, 8 Sep 2015.
Are you ready for the next attack? reviewing the sp security checklist (apnic...Barry Greene
Rethinking Security and how you can Act on Meaningful Change
What the industry recommends to protect your network is NOT working! The industry is stuck in a dysfunctional ecosystem that encourages the cyber-criminal innovation at the cost to business and individual loss throughout the world. We do not need a “Manhattan Project” for the security of the Internet. What we need are tools to help operators throughout the world ask the right question that would lead them to meaningful action. Security empowerment must empower the grassroots and provide the tools to push back on the root cause. This talk will explore these issues, highlight the dysfunction in our “security” economy, and present “take home” tools that would facilitate immediate action.
Some security experts would tell you that security testing is very different from functional or non-functional software testing. They are wrong. Having worked on both sides, Paco gives 3 specific recommendations for how testers can make significant contributions to the security of their software and applications by making small changes to the way they do their software testing. The first technique has to do with selecting points in the user journey that are ripe for security testing. The second is to leverage some common free tools that enable security tests. The final technique is adjusting old school boundary value testing and equivalence class partitioning to incorporate security tests. The result is a lot of security testing done and issues fixed long before any security specialists arrive.
Key Takeaways:
-Great places in the user journey to inject security tests
- Ways to augment existing test approaches to cover security concerns
- Typical security tools that are free, cheap, and easy for software testers
Using RAG to create your own Podcast conversations.pdfRichard Rodger
The presentation on "Retrieval Augmented Generation for Interactive Podcasts" outlines a method to transform podcast audio into interactive chat interfaces. It covers the design, coding, and practical aspects of using Retrieval Augmented Generation (RAG) to emulate podcast guest responses. The project involves processing a significant volume of podcast data, including episodes, transcripts, and metadata.
The technical discussion focuses on ingesting audio and metadata into an AI system and querying it for conversational responses. Key concepts introduced include vector embedding, which converts text to conceptual vectors using models, and the application of Large Language Models (LLMs) with Transformer architecture for context understanding.
The coding segment details microservice messages for transcript ingestion and chat functionalities, employing transcription services, embedding techniques, and vector storage solutions. Challenges in RAG project deployment are also discussed, highlighting performance, quality, regressions, and managing expectations.
The presentation concludes by contrasting technical complexities with a philosophical vision of AI's potential, inspired by speculative fiction, suggesting a future where AI capabilities vastly exceed human cognitive functions. Further resources and open-source implementations are provided for those interested in the technical development of interactive podcast systems
The presentation addresses the challenges developers face with APIs, such as the diversity in authentication methods, SDKs, and the steep learning curve for each new API. The key proposition is to approach API interactions through an ORM-like abstraction, treating APIs as databases to simplify CRUD operations and action commands.
The core idea revolves around treating everything as a message, leveraging microservices as modular, independent components that communicate through these messages. This approach enables a uniform way to interact with various APIs by encapsulating the complexities behind simple, standardized message formats. The example provided illustrates how updating a GitHub repository's description can be abstracted into a message, streamlining the process.
This methodology promotes a component-based architecture where microservices, defined by their ability to handle specific message patterns, can be composed to achieve more complex functionalities. The presentation outlines how this model can be applied to the GitHub API, transforming traditional API calls into message-driven interactions, thereby achieving a higher level of abstraction and simplicity.
The benefits of this approach include a unified interface for API calls, reduction in the reliance on multiple SDKs, and the facilitation of "pure" business logic that focuses on entity manipulation rather than the intricacies of API communication. The presentation concludes with practical considerations for implementation, such as handling logistics and edge cases, and offers resources for further exploration, emphasizing the philosophy of reducing unnecessary complexity in software design.
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FOWA London 2015
Micro-service systems deliver wonderful adaptability to business needs, easy scalability, and low-risk deployment. What's not to like? You also end up with a system that's hard to understand, measure and predict. Traditional approaches to monitoring simply aren't powerful enough to handle the emergent properties of a system with lots of moving parts. The solution is to apply the scientific method! Anything can be measured. Uncertainty can be reduced, and stability can be an emergent property. We just have to learn the lessons that the natural world can teach us.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data, incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data, incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in
fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data,
incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard
challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier
with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant
features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in
fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data,
incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard
challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier
with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant
features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
In the era of information technology, information sharing has become very easy and fast. Many platforms are available for users to share information anywhere across the world. Among all information sharing mediums, email is the simplest, cheapest, and the most rapid method of information sharing worldwide. But, due to their simplicity, emails are vulnerable to different kinds of attacks, and the most common and dangerous one is spam. No one wants to receive emails not related to their interest because they waste receivers’ time and resources. Besides, these emails can have malicious content hidden in the form of attachments or URLs that may lead to the host system’s security breaches. Spam is any irrelevant and unwanted message or email sent by the attacker to a significant number of recipients by using emails or any other medium of information sharing. So, it requires an immense demand for the security of the email system. Spam emails may carry viruses, rats, and Trojans. Attackers mostly use this technique for luring users towards online services. They may send spam emails that contain attachments with the multiple-file extension, packed URLs that lead the user to malicious and spamming websites and end up with some sort of data or financial fraud and identify theft. Many email providers allow their users to make keywords base rules that automatically filter emails. Still, this approach is not very useful because it is difficult, and users do not want to customize their emails, due to which spammers attack their email accounts
Moving to Microservices with the Help of Distributed TracesKP Kaiser
Moving away from a monolith to a microservices architecture is a process fraught with hidden challenges. There's legacy code, infrastructure, and organizational processes that all need to change, in order to make the switch successful.
But microservices come with a huge increase in infrastructure complexity. We'll see how distributed traces empower developers to work with greater autonomy, in increasingly complex deployment environments.
Are you ready for the next attack? Reviewing the SP Security ChecklistAPNIC
Are you ready for the next attack? Reviewing the SP Security Checklist, by Barry Green.
A presentation given at the APNIC 40 Opening Ceremony and Keynotes session on Tue, 8 Sep 2015.
Are you ready for the next attack? reviewing the sp security checklist (apnic...Barry Greene
Rethinking Security and how you can Act on Meaningful Change
What the industry recommends to protect your network is NOT working! The industry is stuck in a dysfunctional ecosystem that encourages the cyber-criminal innovation at the cost to business and individual loss throughout the world. We do not need a “Manhattan Project” for the security of the Internet. What we need are tools to help operators throughout the world ask the right question that would lead them to meaningful action. Security empowerment must empower the grassroots and provide the tools to push back on the root cause. This talk will explore these issues, highlight the dysfunction in our “security” economy, and present “take home” tools that would facilitate immediate action.
Some security experts would tell you that security testing is very different from functional or non-functional software testing. They are wrong. Having worked on both sides, Paco gives 3 specific recommendations for how testers can make significant contributions to the security of their software and applications by making small changes to the way they do their software testing. The first technique has to do with selecting points in the user journey that are ripe for security testing. The second is to leverage some common free tools that enable security tests. The final technique is adjusting old school boundary value testing and equivalence class partitioning to incorporate security tests. The result is a lot of security testing done and issues fixed long before any security specialists arrive.
Key Takeaways:
-Great places in the user journey to inject security tests
- Ways to augment existing test approaches to cover security concerns
- Typical security tools that are free, cheap, and easy for software testers
Using RAG to create your own Podcast conversations.pdfRichard Rodger
The presentation on "Retrieval Augmented Generation for Interactive Podcasts" outlines a method to transform podcast audio into interactive chat interfaces. It covers the design, coding, and practical aspects of using Retrieval Augmented Generation (RAG) to emulate podcast guest responses. The project involves processing a significant volume of podcast data, including episodes, transcripts, and metadata.
The technical discussion focuses on ingesting audio and metadata into an AI system and querying it for conversational responses. Key concepts introduced include vector embedding, which converts text to conceptual vectors using models, and the application of Large Language Models (LLMs) with Transformer architecture for context understanding.
The coding segment details microservice messages for transcript ingestion and chat functionalities, employing transcription services, embedding techniques, and vector storage solutions. Challenges in RAG project deployment are also discussed, highlighting performance, quality, regressions, and managing expectations.
The presentation concludes by contrasting technical complexities with a philosophical vision of AI's potential, inspired by speculative fiction, suggesting a future where AI capabilities vastly exceed human cognitive functions. Further resources and open-source implementations are provided for those interested in the technical development of interactive podcast systems
The presentation addresses the challenges developers face with APIs, such as the diversity in authentication methods, SDKs, and the steep learning curve for each new API. The key proposition is to approach API interactions through an ORM-like abstraction, treating APIs as databases to simplify CRUD operations and action commands.
The core idea revolves around treating everything as a message, leveraging microservices as modular, independent components that communicate through these messages. This approach enables a uniform way to interact with various APIs by encapsulating the complexities behind simple, standardized message formats. The example provided illustrates how updating a GitHub repository's description can be abstracted into a message, streamlining the process.
This methodology promotes a component-based architecture where microservices, defined by their ability to handle specific message patterns, can be composed to achieve more complex functionalities. The presentation outlines how this model can be applied to the GitHub API, transforming traditional API calls into message-driven interactions, thereby achieving a higher level of abstraction and simplicity.
The benefits of this approach include a unified interface for API calls, reduction in the reliance on multiple SDKs, and the facilitation of "pure" business logic that focuses on entity manipulation rather than the intricacies of API communication. The presentation concludes with practical considerations for implementation, such as handling logistics and edge cases, and offers resources for further exploration, emphasizing the philosophy of reducing unnecessary complexity in software design.
This presentation shares the journey of voxgig, a Software-as-a-Service platform for conference exhibitors, and its strategic decision to adopt microservices from the outset. The narrative unfolds with an exploration of how a small, remote team can build a significant platform, detailing a development timeline that spans from initial exploration to platform launch, all structured around microservices.
The architecture of voxgig is dissected to reveal two pivotal tactics: Transport Independence and Pattern Matching, which collectively enable emergent design within the microservices ecosystem. These concepts are expanded to illustrate their role in facilitating service distribution, extension, specialization, and composition, laying the groundwork for a robust microservice architecture.
Despite aspiring to an ideal microservice structure characterized by clean separation between client, application, and core data layers, practical challenges lead to a more organic coding approach, often necessitating later technical debt repayment. The evolution of voxgig's architecture culminates in a diverse ecosystem of 65 Node.js services, enriched by a detailed statistical analysis highlighting service size, age, quality, and the overarching message patterns that constitute the system's backbone.
Key lessons emerge from voxgig's experience, underscoring the complexity of UX design, the importance of adhering to one's methodologies, and the value of investing time in a robust core system. Insights into operational efficiencies, such as service bundling for cost savings and the indispensability of a message REPL, are shared. The presentation concludes by emphasizing the critical role of components within the microservices framework, advocating for system-wide operability in a single process locally and the pragmatic use of synchronous messages for the majority of use cases, all while championing the concept of microservices as fundamental components of a scalable, agile architecture.
This presentation delves into the mathematical principles underpinning microservices, drawing inspiration from historical numeral systems to illustrate the significance of adopting efficient mental models in software architecture. By contrasting the complexities of Roman numerals with the streamlined Indian numerical system, the talk sets the stage for rethinking software design through an algebraic lens, where microservices are seen as algebraic functions transforming inputs to outputs, akin to CRUD operations.
The core idea revolves around conceptualizing microservices as operations on messages, ensuring seamless service integration within complex systems through transport independence and pattern matching. This approach fosters a loosely coupled architecture where services communicate based on message content rather than direct identities, enhancing system flexibility and scalability.
Practical examples, including the development of a Node.js module search engine, demonstrate the application of these concepts, showcasing the ease of system expansion and modification when services are designed to interact through a message-driven paradigm. The presentation concludes by underscoring the benefits of this methodology, such as increased system adaptability, easier management of technical debt, and a more granular approach to system evolution, advocating for a shift towards viewing microservices as integral components of a coherent and scalable system architecture.
In this thought-provoking session at mucon London 2018, the dialogue revolves around the foundational premise that microservices should be embraced from the inception of a project, irrespective of the organization's size, from startups to established enterprises. The discussion opens with a candid acknowledgment of the inherent challenges in software engineering across the board, probing into the reasons behind the perceived complexity of software development, our collective penchant for perfection, and the frequent overemphasis on process over product.
The narrative then shifts to a more philosophical perspective, positioning microservices as the optimal intersection of psychological comfort and engineering pragmatism, conceptualized as units of quality, trust, and business logic encapsulation. This conceptual framework underpins a series of tactical recommendations, advocating for a message-centric approach to system design, where the delineation between monoliths, microservices, and serverless architectures blurs in favor of seamless communication and interoperability.
Practical advice is offered on tackling the 'general case' in system design, encouraging the development of specialized services for outlier scenarios and promoting adaptability to change. However, this approach is not without its trade-offs, sparking a debate on the merits and pitfalls of repository strategies and the double-edged sword that is Kubernetes, juxtaposed against the benefits such as finely segmented technical debt, deferred decision-making, and the capacity to scale rapidly without extensive cross-team coordination.
The session concludes on a reflective note, inviting attendees to explore further resources such as senecajs.org and "The Tao of Microservices", leaving the audience with a nuanced understanding of microservices as not just a technological choice, but a strategic framework for building resilient, adaptable, and business-aligned software ecosystems.
This presentation introduces a systematic approach to designing microservices using a visual language, beginning with the identification of requirements and distillation into messages that dictate service interactions. The methodology is illustrated through the process of developing a user registration system, breaking down the requirements into discrete messages like 'register-user' and 'confirm-email', which in turn inform the design of specific services handling registration and email confirmation.
The discussion extends to the temporal and functional dynamics of microservice interactions, differentiating between synchronous and asynchronous, as well as consumed and observed messages, using a unique visual lexicon where hexagons represent microservices, solid and dashed lines denote synchronous and asynchronous communications, and arrow styles distinguish between message consumption and observation.
The narrative further concretizes these concepts by outlining the design of a Node.js module search engine, showcasing how business requirements translate into a network of microservices handling search, indexing, and module detail presentation. The intricate web of service interactions is depicted through the visual language, demonstrating how services like 'web', 'search', 'npm', and 'github' collaborate through well-defined message patterns.
By the conclusion, attendees are equipped with a versatile framework for microservice design, capable of transforming complex system requirements into clear, manageable service components, as exemplified by the 'nodezoo' search engine project. This methodological approach not only clarifies the architecture of microservices systems but also facilitates their scalability, maintainability, and evolution over time.
This presentation delves into the intricate balance of risks and rewards in adopting microservices architecture, drawing parallels between complex systems failures, like the Three Mile Island nuclear incident, and potential pitfalls in software systems. It underscores the inherent risk in systems composed of multiple dependent components, highlighting how increased component count amplifies failure likelihood, challenging the conventional wisdom that redundancy can safeguard against systemic flaws due to homogeneity in components.
The discourse shifts to pragmatic strategies for managing deployment risks in microservices environments, advocating for frequent, low-impact deployments to mitigate the consequences of inevitable errors, as opposed to infrequent, high-stakes updates. The speaker presents microservices as a solution that simplifies deployments by isolating changes to individual components, thereby enhancing system reliability. The emphasis is placed on monitoring message flow rates as vital indicators of system health, with various microservice patterns like Actor, Subscriber, Chain, and Tree explored to illustrate message distribution dynamics.
The presentation concludes with practical deployment strategies like Canary and Progressive Canary releases, along with the concept of "Bake" deployments to incrementally expose new features, using these methods as risk measurement tools within the continuous delivery pipeline. The talk encourages embracing measured, data-driven approaches and automation to navigate the complexities of microservice deployments effectively, ensuring that technology adheres to the unforgiving principles of reality over theoretical perfection.
Title: Rethinking Service Discovery in Microservices Architecture
Description:
This presentation delves into the microservices architectural pattern, emphasizing the importance of service discovery in a landscape where services operate under the illusion of being solitary entities in the system. The discussion begins with an overview of microservices — small, independent processes that communicate through messages, which collectively contribute to a robust component model facilitating rapid development, continuous delivery, and the mitigation of technical debt.
The core of the talk addresses the complexities and unconventional programming models introduced by microservices, particularly focusing on the challenge of service-to-service discovery. Various strategies for service discovery are explored, including the use of configuration files, intelligent load balancing, service registries, DNS, and the necessity of a message bus. The concept of service discovery is then critically examined, proposing a paradigm shift towards pattern matching, where services interact based on message patterns rather than service identities. This approach advocates for transport independence, blind messaging, and a peer-to-peer model, where services maintain a local worldview, updated dynamically as services fluctuate. The presentation concludes by introducing the SWIM algorithm, an infection-style process group membership protocol designed for scalability and weak consistency, exemplified through a practical implementation in a Twitter clone built with 14 microservices.
Explore the cutting-edge capabilities of Vespa.ai, the open-source search engine pioneered by Yahoo, now a cornerstone for developers and data scientists seeking enhanced search and analytics functionalities. This session delves into the integration of machine learning to elevate search accuracy and user experience, achieving a fine balance between precision and recall. Participants will gain insight into Vespa.ai's evolution towards a cloud-based, analytics-focused platform, offering extensive configurability for Java aficionados and seamless incorporation of database-free text search capabilities.
The presentation further highlights the operational advantages and development efficiencies of Vespa.ai, including its compatibility with major big data technologies, automatic load distribution, and scalable deployment options. Attendees will leave with a comprehensive understanding of leveraging Vespa.ai for sophisticated, personalized search solutions within their own applications or platforms.
This talk is an appeal to server-side JavaScript developers to make
use of this time of change - Node.js is going to become the primary
server-side platform for most developers. We can move forward from
the old way of building web apps as large inter-locking co-dependent
code bases.
The Node.js module system has shown us the way. It's the first
step. Now, we need to use the beauty of Node modules to help us build
robust, scalable apps.
This approach is called the Micro-Services Architecture. It's more
than just having some services with HTTP end-points. It's about taking
this to the extreme. Everything is a service, and no service is larger
than 100 lines of code.
We've been using this approach for most of our projects for the last 18
months and it works really well. We get to drop loads of
project management ceremony. There will be some customer war stories.
Richard rodger technical debt - web summit 2013Richard Rodger
The only way developers can finish projects on-time and under-budget is by taking on Technical Debt. Taking shortcuts, using quick fixes, and writing unmaintainable code builds up a technical debt that get the project delivered today. Tomorrow, there will be a reckoning, as development costs spiral and progress grinds to a halt. This talk helps you embrace the debt, love the cowboys, and gives you a way to make repayments.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
28. Look for cause/effect relationships.
These are by design! Validate your
message patterns in production.
“ask not what can go wrong,
ask what must go right…”
Chris Newcombe, AWS*
* http://research.microsoft.com/en-us/um/people/lamport/tla/amazon.html
29. When should you rollback?
Invariants should be the same
before and after deployment.
30. Is the system correct?
Business rules are invariants too!
Express as message relationships.
31. Are you about to be blindsided?
Combine individual indicators to
get a deeper measure of risk.