Square Peg Round Hole: Serverless Solutions For Non-Serverless Problems

High level overview of Electron performance tips and tricks, and a look at the new C++ architecture of Mailspring (https://getmailspring.com/) — presented Nov. 1st at the Bay Area Electron Meetup

One of the most common performance issues in serverless architectures is elevated latencies from external services, such as DynamoDB, ElasticSearch or Stripe. In this webinar, we will show you how to quickly identify and debug these problems, and some best practices for dealing with poor performing 3rd party services.

This document summarizes the July 2018 meeting of the AWS Users' Group in Denver. It thanks sponsors Eplexity and Prestige for hosting the event and providing food and drinks. The agenda includes discussions on methodology changes when moving applications to the cloud as well as cloud optimization best practices. Attendees are provided WiFi login details and reminded to follow the group on Twitter. Upcoming events and resources are also listed.

The document discusses how to monitor .NET applications using New Relic RPM. It explains that the New Relic RPM agent collects performance metrics from .NET applications and sends them to the New Relic service. Users can then sign up for a free RPM account, download and install the .NET agent to begin seeing performance metrics for their application within minutes in the New Relic user interface. The interface provides various dashboards and reports to help users track application performance, errors, database queries and more.

This talk offers a description of Reactive Streams, along with example code using the Groovy language and rxGroovy

Lots of people need job scheduling, micro service communication, asynchronous information… There is a stable and reliable solution: AMQP protocol. Event if it seems to be complicated at the first look, it can solve lots of problem with a stable and battle tested product, great performances, simple access from C, java, python, ruby, node.js, scala, go… This talk is about rabbitMQ, how to start, how to like it, fundamental and various pattern to use it in real world case.

Andrew Gibbons, Director of Operations, Smugmug talks about their use of S3 (over a pedabyte stored), EC2, and FPS (Flexible Payments).

The document discusses circuit breakers and their importance for distributed systems. It notes that failures are difficult to detect in distributed systems and that retrying calls against an unresponsive subsystem can lead to resource shortages or cascading failures. It then introduces the circuit breaker pattern, which detects failures and prevents retrying the same failing action until the service recovers, in order to avoid cascading failures. The circuit breaker can be in an open, closed, or half-open state depending on success or failure detection.

This is a quick introduction to webhooks I gave at GlueCon 2010. It was also a bit of an ad for a last minute 40 minute talk I was giving immediately after.

This document provides an overview and introduction to non-relational (NoSQL) databases. It discusses some of the limitations of relational databases and why NoSQL databases were developed as an alternative. It describes different types of NoSQL databases, including key-value, document, columnar, and graph databases. Specific NoSQL database examples like HBase, Cassandra, Riak, MongoDB, and Neo4j are also mentioned.

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

The document provides best practices and recommendations for securing resources in AWS. It advises that users should: 1) Grant least privilege to IAM roles and policies, use private subnets, and avoid public buckets or open security groups. 2) Rely on managed AWS services instead of maintaining resources like databases on EC2 instances directly. 3) Implement infrastructure as code and immutable infrastructure to ensure consistency and reliability of deployments. 4) Keep application state in services like ElastiCache instead of on individual instances to ensure high availability. 5) Leverage AWS services, documentation, and community resources to continuously improve security practices.

Reactive programming is a new paradigm that provides asynchronous event-based flow control. Java implementation is called rxJava and is being developed by Netfix. They have also released Hystrix — a non-functional layer that provides fault tolerance and latency features which also exposes reactive API.

The basics you need to know to get up and running with Chaos Monkey in your Amazon Web Service's Cloud enviornment. Links: CloudFormation Template: https://github.com/joehack3r/aws/blob/master/cloudformation/templates/chaosMonkey.json Simian Army Quick Start Guide: https://github.com/Netflix/SimianArmy/wiki/Quick-Start-Guide Chaos Monkey Configuration: https://github.com/Netflix/SimianArmy/wiki/Chaos-Settings Chaos Monkey Army: https://github.com/Netflix/SimianArmy/wiki/The-Chaos-Monkey-Army

This document contains information about deploying Ruby on Rails applications on AWS Elastic Beanstalk. It includes the URLs for the Elastic Beanstalk management console, documentation on deploying Ruby on Rails apps, the AWS Ruby programming language page, and links to slideshows about Elastic Beanstalk.

The document discusses building effective APIs with GraphQL and Absinthe. It covers topics such as preventing overfetching with GraphQL queries, implementing efficient pagination with Relay Cursor Connections, inserting and mutating data with mutations, real-time capabilities with subscriptions, handling errors, versioning schema with deprecations, limiting query complexity, and tools for building GraphQL APIs like GraphiQL and GraphQL Playground. The document provides learning resources and links for documentation, books, and example projects using Absinthe for GraphQL APIs in Elixir.

This session documents challenges and solutions when designing an environment that allowed employees to connect from anywhere in the world to applications and data located in a specific region. This project’s objectives were replacing Secure Gateway, improving the user experience and building a future-proof environment. Learn about the use of NetScaler global server load balancing and StoreFront customization, and how they were architected to balance cost and functionality.

The document is an agenda for a Serverless meetup on January 28, 2020 in Toronto. It includes: 1. An intro and activity update 2. A community open mic session 3. A featured talk by Jonathan Dion on "The state of Serverless after AWS re:Invent 2019" 4. A networking session

The document discusses various options for deferred processing and queuing in Ruby, including Delayed::Job, Resque, Amazon SQS, and AMQP. It provides an overview of how each works, how to install and use them, their advantages and disadvantages, and when each may or may not be a good fit for different needs.

The document discusses Google App Engine, a platform for developing and hosting web applications on Google's infrastructure. It provides an overview of App Engine and how to get started, discusses some limitations and tradeoffs compared to traditional web hosting, and recommends frameworks and techniques for building scalable applications on App Engine, including Objectify, Guice, and gwt-dispatch. It also notes that while App Engine is still relatively new, it has significant potential for developing scalable applications with minimal upfront costs.

Synchronous Reads, Asynchronous Writes refers to an architectural approach where data reads are performed synchronously through services, while data writes are performed asynchronously through a messaging system. This allows for decoupling of services, horizontal scaling of reads and writes, and loose coupling between systems. The key aspects are performing JSON RESTful reads through services like Sinatra, and pushing writes to a messaging system like RabbitMQ with routing keys to trigger downstream processing. This approach can help solve issues with monolithic Rails applications that do not scale effectively.

This document discusses best practices for preparing serverless applications on AWS Lambda for production. It describes the author's experience deploying 170 Lambda functions and 1.2GB of code into production with a 95% cost savings compared to EC2. Key practices covered include testing, monitoring, logging, distributed tracing, CI/CD pipelines, configuration management, and security. The author advocates for building on principles over tools and shares several tools for serverless development.

I presented to the Georgia Southern Computer Science ACM group. Rather than one topic for 90 minutes, I decided to do an UnConference. I presented them a list of 8-9 topics, let them vote on what to talk about, then repeated. Each presentation was ~8 minutes, (Except Career) and was by no means an attempt to explain the full concept or technology. Only to wake up their interest.

Instrument production applications (both in AWS and on prem) with x-ray to collect live telemetry and latency metrics on your applications. You can also use it to debug live!

My presentation from the Ruby Hoedown on cloud computing and how Ruby developers can take advantage of cloud services to build scalable web applications.

This presentation covers Real-World Pulsar Architectural Patterns involving Distributed Caching and Distributed Tracing. We also cover the use of Apache Ignite, Jaeger, Apache Flink, and many other technologies, as well as industry best-practices.

This document discusses lessons learned from using serverless functions in production. It begins by defining serverless computing and describing some serverless technologies like AWS Lambda and Backend as a Service. It then details four use cases the author implemented with serverless functions, including video transcoding, data calculations, data fetching, and communication between services. Several issues encountered are explained, such as function timeout errors, database connection problems, and network latency between functions. The document concludes by noting that while some workloads were moved to ECS, most functions remain on AWS Lambda, and that the author continues improving their serverless implementation.

Spring Cloud Gateway is a gateway that provides routing, filtering, and monitoring capabilities for microservices. It is non-blocking and built on Spring Framework and uses reactive streams. Spring Cloud Gateway offers a simpler and more developer-friendly alternative to other gateway options that are often heavy-weight and difficult to integrate. It provides a Java-based configuration that gives developers control over routing, filtering, and other gateway features without vendor lock-in.

The document discusses common patterns and approaches for scaling web architectures. It covers topics like load balancing, caching, database scaling through replication and sharding, high availability, and storing large files across multiple servers and data centers. The overall goal is to discuss how to architect systems that can scale horizontally to handle increasing traffic and data sizes.

Testing Java client applications is not always straightforward as testing web applications. Even under experienced hands, there might be obstacles coming your way; what if you cannot use a proxy? How do you MitM? What if you just can't? How do you modify the app to your benefit? Fortunately, Java is still Java. This lecture is based on a true story, and will follow an interesting case of pen-testing a known product; what tools and techniques can be used in order to jump over hurdles, all the way to the finish line. The lecture aims to enrich the pentester's toolbox as well as mind, when facing Java client applications; MitM-ing, run-time manipulations and patching the code are only some of the discussed cases. In addition, a newly developed proxy for intercepting and tampering with TCP communication over TLS/SSL and bypassing certificate-pinning protections, will be introduced during the lecture.

The document summarizes the 2015 Amazon Web Services re:Invent conference. It highlights the growth in attendance from 9,000 to 19,000. It outlines new computing and database services announced as well as analytics, security, and management tools. Examples are given of how Netflix and a content management system benefited from migrating to AWS. Lessons learned focused on not all features transferring directly and the learning curve involved. The document encourages hands-on learning with AWS free services and attending next year's conference.

To watch, please see: https://info.dynatrace.com/apm_wc_getting_started_with_devops_na_registration.html Starting Your DevOps Journey: Practical Tips for Ops In this webinar, Andreas Grabner, Chief DevOps Activist at Dynatrace, shares practical tips that all IT groups from Dev to Ops can use to start their DevOps journey quickly. With experience from hundreds of DevOps deployments, Andi provides insights it would take your team months or years to learn firsthand. - Learn how everyone on your Ops team can use APM to better understand and monitor SLAs, Performance and End User Impact of their applications. - Foster better collaboration between Ops and architects by extending basic system monitoring to monolith and microservices architectures. - Shift-left your testing and QA by working with metrics that you and the architects agreed on up front, resulting in early relevant feedback and faster code deployments. - Hear why changing the cultural mindset from “fear of change” to “Continuous Innovation and Optimization” is critical for success. Andi is joined by guest speaker, Brian Chandler, Systems Engineer at Raymond James, who shares commonly used Ops dashboards that increase collaboration across IT teams and pro-actively break down silos!

This document discusses using SQL Server Agent to automate monitoring of a SQL Server instance and alerting when problems are detected. It provides examples of things that could be monitored like server restarts, databases not being backed up, failed jobs, and more. The document advocates the principle of "see something, say something" by having SQL Agent queries check for issues and send emails or log events to call for help if problems are found. It also cautions that any advice found online should be tested before implementing.

You are already the Duke of DevOps: you have a master in CI/CD, some feature teams including ops skills, your TTM rocks ! But you have some difficulties to scale it. You have some quality issues, Qos at risk. You are quick to adopt practices that: increase flexibility of development and velocity of deployment. An urgent question follows on the heels of these benefits: how much confidence we can have in the complex systems that we put into production? Let’s talk about the next hype of DevOps: SRE, error budget, continuous quality, observability, Chaos Engineering.

Keeping an application running at scale can be a daunting task. When do you need to add more capacity? Larger databases? Additional servers? These questions get harder as the complexity of your application grows. Microservice based architectures and cloud-based dynamic infrastructures are technologies that help you keep your application running with high availability, even during times of extreme scaling. We will discuss some of the best practices we’ve learned working with New Relic customers on how you can manage your applications running at scale, and how technologies such as microservices and dynamic infrastructure can help you with this challenge. As presented by Lee Atchison, Senior Director, Strategic Architecture of New Relic at Amazon Web Services Summit, Sydney on April 6, 2017.

The document discusses dynamic infrastructure and keeping applications running at scale in the cloud. It begins with an introduction of the speaker, Lee Atchison, and his background in cloud computing. It then discusses various challenges of maintaining application availability, both obvious challenges like outages as well as more subtle challenges like performance degradation. The rest of the document discusses strategies for monitoring applications in dynamic cloud environments, approaches for migrating applications to the cloud, and general strategies for successful cloud adoption.

Keeping an application running at scale can be a daunting task. When do you need to add more capacity? Larger databases? Additional instances These questions get harder as the complexity of your application grows. Microservice based architectures and cloud-based dynamic infrastructures are technologies that help you keep your application running with high availability, even during times of extreme scaling. We will discuss some of the best practices we’ve learned working with New Relic customers on how you can manage your applications running at scale, and how technologies such as microservices and dynamic infrastructure can help you with this challenge. Speaker: Lee Atchison, Senior Director, Strategic Architecture, New Relic

This document discusses modernizing monolithic applications to microservices architectures using serverless technologies. It notes that monolithic apps can have high costs due to inefficient scaling, and slow development cycles. Serverless computing can help reduce costs by allowing individual services to scale independently and reducing operational overhead. The document provides examples of companies that were able to reduce costs by modernizing from monolithic to serverless architectures and breaking applications into independent microservices. It also acknowledges that modernizing is challenging due to complexity but provides recommendations around refactoring APIs, using cloud-native building blocks, visualizing infrastructure changes, and securely managing environments.

What does the development environment to production pipeline look like? In this presentation we look at all the tools and services needed to effectively build and deploy applications!

What does the development environment to production pipeline look like? In this presentation we look at all the tools and services needed to effectively build and deploy applications!

How to manage the Holes In The Serverless Development Lifecycle. Updated for the AWS Seattle User Group Presentation on 1/29/2019.

This document discusses some challenges with serverless development including managing infrastructure as code, collaboration mechanisms, testing, and monitoring. It outlines gaps in these areas such as permission scoping when deploying infrastructure, parameterization to avoid hardcoding secrets, testing approaches, and ensuring consistent instrumentation. The author advocates using frameworks that can automate tasks like instrumentation to help address these gaps and enable high performance serverless teams through configuration management, collaboration, and consistency.

This document discusses best practices for infrastructure as code (IAC) when building serverless applications. It covers permission scoping, namespacing resources, parameterization to avoid hardcoding secrets, using custom resources to integrate with external systems, and reusing existing resources between environments. The overall message is that IAC allows developers to consistently deploy serverless applications at scale by managing infrastructure as code.

Serverless is the new hotness. It works great for parallelized workflows and event-driven systems. But what happens when your boss comes along and needs you to build a serverless system that works with a SQL database? Or you need to scrape a website, but you need to rate limit your scraping? For that matter, how can you build a serverless state machine?

..

VLSI design 21ec63 MOS TRANSISTOR THEORY

Cybersecurity breaches are a growing threat in today’s interconnected digital landscape, affecting individuals, businesses, and governments alike. These breaches compromise sensitive information and erode trust in online services and systems. Understanding the causes, consequences, and prevention strategies of cybersecurity breaches is crucial to protect against these pervasive risks. Cybersecurity breaches refer to unauthorized access, manipulation, or destruction of digital information or systems. They can occur through various means such as malware, phishing attacks, insider threats, and vulnerabilities in software or hardware. Once a breach happens, cybercriminals can exploit the compromised data for financial gain, espionage, or sabotage. Causes of breaches include software and hardware vulnerabilities, phishing attacks, insider threats, weak passwords, and a lack of security awareness. The consequences of cybersecurity breaches are severe. Financial loss is a significant impact, as organizations face theft of funds, legal fees, and repair costs. Breaches also damage reputations, leading to a loss of trust among customers, partners, and stakeholders. Regulatory penalties are another consequence, with hefty fines imposed for non-compliance with data protection regulations. Intellectual property theft undermines innovation and competitiveness, while disruptions of critical services like healthcare and utilities impact public safety and well-being.

Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. However, code-oriented LLMs are often heavy in computational complexity, and quadratically with the length of the input code sequence. Toward simplifying the input program of an LLM, the state-of-the-art approach has the strategies to filter the input code tokens based on the attention scores given by the LLM. The decision to simplify the input program should not rely on the attention patterns of an LLM, as these patterns are influenced by both the model architecture and the pre-training dataset. Since the model and dataset are part of the solution domain, not the problem domain where the input program belongs, the outcome may differ when the model is trained on a different dataset. We propose SlimCode, a model-agnostic code simplification solution for LLMs that depends on the nature of input code tokens. As an empirical study on the LLMs including CodeBERT, CodeT5, and GPT-4 for two main tasks: code search and summarization. We reported that 1) the reduction ratio of code has a linear-like relation with the saving ratio on training time, 2) the impact of categorized tokens on code simplification can vary significantly, 3) the impact of categorized tokens on code simplification is task-specific but model-agnostic, and 4) the above findings hold for the paradigm–prompt engineering and interactive in-context learning and this study can save reduce the cost of invoking GPT-4 by 24%per API query. Importantly, SlimCode simplifies the input code with its greedy strategy and can obtain at most 133 times faster than the state-of-the-art technique with a significant improvement. This paper calls for a new direction on code-based, model-agnostic code simplification solutions to further empower LLMs.

20CDE09- INFORMATION DESIGN UNIT I INCEPTION OF INFORMATION DESIGN Introduction and Definition History of Information Design Need of Information Design Types of Information Design Identifying audience Defining the audience and their needs Inclusivity and Visual impairment Case study.

Trends in CAD CAM

Energy market

Pyspark

SP-23: Hand Bank on Concrete Mixes required at the time designing

The rapid advancements in artificial intelligence and natural language processing have significantly transformed human-computer interactions. This thesis presents the design, development, and evaluation of an intelligent chatbot capable of engaging in natural and meaningful conversations with users. The chatbot leverages state-of-the-art deep learning techniques, including transformer-based architectures, to understand and generate human-like responses. Key contributions of this research include the implementation of a context- aware conversational model that can maintain coherent dialogue over extended interactions. The chatbot's performance is evaluated through both automated metrics and user studies, demonstrating its effectiveness in various applications such as customer service, mental health support, and educational assistance. Additionally, ethical considerations and potential biases in chatbot responses are examined to ensure the responsible deployment of this technology. The findings of this thesis highlight the potential of intelligent chatbots to enhance user experience and provide valuable insights for future developments in conversational AI.

The project "Social Media Platform in Object-Oriented Modeling" aims to design and model a robust and scalable social media platform using object-oriented modeling principles. In the age of digital communication, social media platforms have become indispensable for connecting people, sharing content, and fostering online communities. However, their complex nature requires meticulous planning and organization.This project addresses the challenge of creating a feature-rich and user-friendly social media platform by applying key object-oriented modeling concepts. It entails the identification and definition of essential objects such as "User," "Post," "Comment," and "Notification," each encapsulating specific attributes and behaviors. Relationships between these objects, such as friendships, content interactions, and notifications, are meticulously established.The project emphasizes encapsulation to maintain data integrity, inheritance for shared behaviors among objects, and polymorphism for flexible content handling. Use case diagrams depict user interactions, while sequence diagrams showcase the flow of interactions during critical scenarios. Class diagrams provide an overarching view of the system's architecture, including classes, attributes, and methods .By undertaking this project, we aim to create a modular, maintainable, and user-centric social media platform that adheres to best practices in object-oriented modeling. Such a platform will offer users a seamless and secure online social experience while facilitating future enhancements and adaptability to changing user needs.

Kiln

Introduction to information retrieval, Major challenges in IR