Kafka Needs No Keeper

The document discusses the perils of secret sprawl and clear text secrets in Apache Kafka configurations. It proposes using a key management system (KMS) to securely store secrets and introducing a configuration provider that allows replacing secrets in configuration files with references to the KMS. The Kafka Improvement Proposals (KIPs) 297 and 421 aim to address this by externalizing secrets to providers and automatically resolving secrets during configuration parsing. Key recommendations include selecting a KMS, moving secrets to it, adding the configuration provider, and replacing secrets with indirection tuples pointing to the KMS.

Kafka operators need to provide guarantees to the business that Kafka is working properly and delivering data in real time, and they need to identify and triage problems so they can solve them before end users notice them. This elevates the importance of Kafka monitoring from a nice-to-have to an operational necessity. In this talk, Kafka operations experts Xavier Léauté and Gwen Shapira share their best practices for monitoring Kafka and the streams of events flowing through it. How to detect duplicates, catch buggy clients, and triage performance issues – in short, how to keep the business’s central nervous system healthy and humming along, all like a Kafka pro. Speakers: Gwen Shapira, Xavier Leaute (Confluence) Gwen is a software engineer at Confluent working on core Apache Kafka. She has 15 years of experience working with code and customers to build scalable data architectures. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an author of “Kafka - the Definitive Guide”, "Hadoop Application Architectures", and a frequent presenter at industry conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects. Xavier Leaute is One of the first engineers to Confluent team, Xavier is responsible for analytics infrastructure, including real-time analytics in KafkaStreams. He was previously a quantitative researcher at BlackRock. Prior to that, he held various research and analytics roles at Barclays Global Investors and MSCI.

What do you do when you've two different technologies on the upstream and the downstream that are both rapidly being adopted industrywide? How do you bridge them scalably and robustly? At Wework, the upstream data was being brokered by Kafka and the downstream consumers were highly scalable gRPC services. While Kafka was capable of efficiently channeling incoming events in near real-time from a variety of sensors that were used in select Wework spaces, the downstream gRPC services that were user-facing were exceptionally good at serving requests in a concurrent and robust manner. This was a formidable combination, if only there was a way to effectively bridge these two in an optimized way. Luckily, sink Connectors came to the rescue. However, there weren't any for gRPC sinks! So we wrote one. In this talk, we will briefly focus on the advantages of using Connectors, creating new Connectors, and specifically spend time on gRPC sink Connector and its impact on Wework's data pipeline.

Apache Kafka is a distributed publish-subscribe messaging system that allows for scalable message processing. It provides high throughput, fault tolerance, and guarantees delivery. Kafka maintains feeds of messages in topics which can be consumed by applications or services. It is commonly used for processing real-time data streams and event-driven architectures. Confluent provides a platform for Apache Kafka with additional tools for monitoring, management, and integration with other data systems.

An Overview of the Kafka clients ecosystem. APIs – wire protocol clients – higher level clients (Streams) – REST Languages (with simple snippets – full examples in GitHub) – the most developed clients – Java and C/C++ – the librdkafka wrappers node-rdkafka, python, GO, C# – why use wrappers Shell scripted Kafka ( e.g. custom health checks) kafkacat Platform gotchas (e.g. SASL on Win32) Presented at Kafka Summit SF 2017 by Edoardo Comar and Andrew Schofield, IBM

Badai Aqrandista, Confluent, Senior Technical Support Engineer This session will be about a common issue in the Kafka Producer: producer batch expiry. We will be discussing the Kafka Producer internals, its common causes, such as a slow network or small batching, and how to overcome them. We will also be sharing some examples along the way! https://www.meetup.com/apache-kafka-sydney/events/279651982/

Netflix uses Conductor, an open source microservices orchestrator, to manage complex content processing workflows involving ingestion, encoding, localization, and delivery. Conductor provides visibility, control, and reuse of tasks through a task queuing system and workflow definitions. It has scaled to process millions of workflow executions across Netflix's content platform using a stateless architecture with Dynomite for storage and Dyno-Queues for task distribution.

In this session, Neil Avery covers the planning and operation of your KSQL deployment, including under-the-hood architectural details. You will learn about the various deployment models, how to track and monitor your KSQL applications, how to scale in and out and how to think about capacity planning. This is part 3 out of 3 in the Empowering Streams through KSQL series.

Apache Kafka is getting used as an event backbone in new organizations every day. We would love to send every byte of data through the event bus. However, most of the time, connecting to simple third party applications and services becomes a headache that involves several lines of code and additional applications. As a result, connecting Kafka to services like Google Sheets, communication tools such as Slack or Telegram, or even the omnipresent Salesforce, is a challenge nobody wants to face. Wouldn’t you like to have hundreds of connectors readily available out-of-the-box to solve this problem? Due to these challenges, communities like Apache Camel are working on how to speed up development of key areas of the modern application, like integration. The Camel Kafka Connect project, from the Apache foundation, has enabled their vastly set of connectors to interact with Kafka Connect natively. So, developers can start sending and receiving data from Kafka to and from their preferred services and applications in no time without a single line of code. In summary, during this session we will: - Introduce you to the Camel Kafka Connector sub-project from Apache Camel - Go over the list of connectors available as part of the project - Showcase a couple of examples of integrations using the connectors - Share some guidelines on how to get started with the Camel Kafka Connectors

Watch this talk here: https://www.confluent.io/online-talks/integrating-apache-kafka-into-your-environment-on-demand Integrating Apache Kafka with other systems in a reliable and scalable way is a key part of an event streaming platform. This session will show you how to get streams of data into and out of Kafka with Kafka Connect and REST Proxy, maintain data formats and ensure compatibility with Schema Registry and Avro, and build real-time stream processing applications with Confluent KSQL and Kafka Streams. This session is part 4 of 4 in our Fundamentals for Apache Kafka series.

KSQL is a stream processing SQL engine, which allows stream processing on top of Apache Kafka. KSQL is based on Kafka Stream and provides capabilities for consuming messages from Kafka, analysing these messages in near-realtime with a SQL like language and produce results again to a Kafka topic. By that, no single line of Java code has to be written and you can reuse your SQL knowhow. This lowers the bar for starting with stream processing significantly. KSQL offers powerful capabilities of stream processing, such as joins, aggregations, time windows and support for event time. In this talk I will present how KSQL integrates with the Kafka ecosystem and demonstrate how easy it is to implement a solution using KSQL for most part. This will be done in a live demo on a fictitious IoT sample.

Webcast available here: https://videos.confluent.io/watch/ptpxz9ks5cratppU9d4bUD? Speaker: Robin Moffatt

Have you ever migrated Kafka clusters from one data center to another being completely transparent to client applications? At PayPal, as part of a massive datacenter migration initiative, Kafka team successfully moved all PayPal Kafka traffic across data centers. This initiative involved migrating 20+ Kafka clusters (1000+ broker and zookeeper nodes), as well as 60+ mirrormaker groups which seamlessly handle Kafka traffic volumes as high as 1 trillion messages per day. Throughout the course of this migration, applications required no modification, encountered 0% service outage, 0% message loss and duplicated messages. The whole migration process was fully transparent to Kafka applications. In this session, you will learn the strategies, techniques and tools the PayPal Kafka team has utilized for managing the migration process. You will also learn the lessons and pitfalls they experienced during this exercise, as well as the secret sauce of making the migration successful.

Building Cloud-Native App Series - Part 11 of 11 Microservices Architecture Series Service Mesh - Observability - Zipkin - Prometheus - Grafana - Kiali

Complex/large-scale implementations of OSS systems, Kafka included, involve customizations and in-house developed tools and plugins. Transition from one system to another is a complicated process and making it iterative increases the chance of success. In this talk we’ll take a look at the Kafka Adaptor that enables use of Kafka Connect Sinks in the Pulsar ecosystem.

Apache Kafka is the backbone for building architectures that deal with billions of events a day. Chris Castle, Developer Advocate, will show you where it might fit in your roadmap. - What Apache Kafka is and how to use it on Heroku - How Kafka enables you to model your data as immutable streams of events, introducing greater parallelism into your applications - How you can use it to solve scale problems across your stack such as managing high throughput inbound events and building data pipelines Learn more at https://www.heroku.com/kafka Reveal.js version of slides: http://slides.com/christophercastle/deck#/

We have been served well by Zookeeper over the years, but it is time for Kafka to stand on its own. This is a talk on the ongoing effort to replace the use of Zookeeper in Kafka: why we want to do it and how it will work. We will discuss the limitations we have found and how Kafka benefits both in terms of stability and scalability by bringing consensus in house. This effort will not be completed over night, but we will discuss our progress, what work is remaining, and how contributors can help. (Note that I am proposing this as a joint talk with Colin McCabe, who is also a committer on the Apache Kafka project.)

Topic: Speedtest: Benchmark Your Apache Kafka®️ Abstract: In this session, Mark will talk about running benchmarking utilities for Apache Kafka; to determine how much MB/sec a cluster can handle; how to set up automated benchmark runs (including the repo), and using this to find and optimize client-side producer configuration properties

Introducing KRaft: Kafka Without Zookeeper With Colin McCabe | Current 2022 Apache Kafka without Zookeeper is now production ready! This talk is about how you can run without ZooKeeper, and why you should.

Purpose of the session is to have a dive into Apache, Kafka, Data Streaming and Kafka in the cloud - Dive into Apache Kafka - Data Streaming - Kafka in the cloud

The objective of the engagement is for Citi to have an understanding and path forward to monitor their Confluent Platform and - Platform Monitoring - Maintenance and Upgrade

This document provides an introduction to Apache Kafka. It describes Kafka as a distributed messaging system with features like durability, scalability, publish-subscribe capabilities, and ordering. It discusses key Kafka concepts like producers, consumers, topics, partitions and brokers. It also summarizes use cases for Kafka and how to implement producers and consumers in code. Finally, it briefly outlines related tools like Kafka Connect and Kafka Streams that build upon the Kafka platform.

This document summarizes new features in MySQL replication introduced in versions 5.6 and 5.7. Key features discussed include binary log group commit for improved performance, optimized row-based replication with partial binary logging, multi-threaded slave replication, global transaction identifiers for topologies with multiple masters, transactional metadata storage, and binary log event checksums. The document provides examples and explanations of how these features improve high availability, scalability and reliability of MySQL replication deployments.

Intro to Apache Kafka I gave at the Big Data Meetup in Geneva in June 2016. Covers the basics and gets into some more advanced topics. Includes demo and source code to write clients and unit tests in Java (GitHub repo on the last slides).

Kafka has become the de facto standard for streaming data with high-throughput, low-latency, and fault-tolerance. However, its rising adoption raises new challenges. In particular, the growing cluster sizes, increasing volume and diversity of user traffic, and aging network and server components induce an overhead in managing the system. This overhead makes it infeasible for human operators to constantly monitor, identify, and mitigate issues. The resulting utilization imbalance across brokers leads to unpredictable client performance due to the high variation in their throughput and latency. Finally, properly expanding, shrinking, or upgrading clusters also incurs a management overhead. Hence, adopting a principled approach to manage Kafka clusters is integral to the sustainability of the infrastructure. This talk will describe how LinkedIn alleviates the management overhead of large-scale Kafka clusters using Cruise Control. To this end, first, we will discuss the reactive and proactive techniques that Cruise Control uses to support admin operations for cluster maintenance, enable anomaly detection with self-healing, and provide real-time monitoring for Kafka clusters. Next, we will examine how Cruise Control performs in production. Finally, we will conclude with questions and further discussion.

Presentation by Juan A. Martinez Navarro Representative, Odin Solutions S.L. FIWARE Tech Summit 28-29 November, 2017 Malaga, Spain

This document provides an overview and summary of Apache Pulsar, a distributed streaming and messaging platform. It discusses Pulsar's benefits like data durability, scalability, geo-replication and multi-tenancy. It outlines key use cases like message queuing and data streaming. The document also summarizes Pulsar's architecture, subscriptions modes, connectors, and integration with other technologies like Apache Flink, Apache NiFi and MQTT. It highlights real-world customer implementations and provides demos of ingesting IoT data via Pulsar.

The document discusses bringing Apache Kafka clusters into production without using ZooKeeper for coordination and metadata storage. It describes how Kafka uses ZooKeeper currently and the problems with this approach. It then introduces KRaft, which replaces ZooKeeper by using Raft consensus to replicate cluster metadata within Kafka. The key aspects of deploying, operating and troubleshooting KRaft-based Kafka clusters are covered, including formatting storage, controller setup, rolling upgrades, and examining the replicated metadata log.

Introduction to Apache Kafka Brokers “as a Service” Producers & Consumers “as a Service” with Heron More Use Cases for Kafka

- Upgrades should be done often to get bug fixes and improvements, following the upgrade guide carefully. Start with a healthy cluster and upgrade components outward from Zookeeper to Kafka brokers to clients. Don't rush the process or have any unresolved partition reassignments. - Collect JMX metrics to monitor the cluster as outages can be prolonged without visibility. The Kafka defaults are suitable for single node deployments but replication factor, threads, and broker configuration should be tuned for larger clusters. - Quotas like replication throttling and bandwidth/request limits per client or topic should be used to protect the cluster and clients. Log files should separate each component and be retained for a few days. Consider multiple clusters by SLA

Confluent Platform is supporting London Metal Exchange’s Kafka Centre of Excellence across a number of projects with the main objective to provide a reliable, resilient, scalable and overall efficient Kafka as a Service model to the teams across the entire London Metal Exchange estate.

"As Apache Kafka gains widespread adoption, an increasing number of people face its pitfalls. Despite completing courses and reading documentation, many encounter hurdles navigating Kafka's subtle complexities. Join us for an enlightening session led by the customer support team of Conduktor, where we engage daily with users grappling with Kafka's subtleties. We've observed recurring themes in user queries: What happens when a consumer group rebalances? What is an advertised listener? Why aren't my records displayed in chronological order when I consume them? How does retention work? For all these questions, the answer is ""It depends"". In this talk, we aim to demystify these uncertainties by presenting nuanced scenarios for each query. That way you will be more confident on how your Kafka infrastructure works behind the scenes, and you'll be equipped to share this knowledge with your colleagues. By being aware of the most common misconceptions, you should be able to both speed up your own learning curve and also help others more effectively."

This document summarizes a webcast about managing data replication with Hitachi solutions. It discusses how Hitachi's Business Continuity Manager (BCM) and Replication Monitor software provide centralized management and monitoring of replication across mainframe and open systems environments. BCM automates replication configuration and monitoring for Hitachi storage arrays. Replication Monitor provides a single interface to view replication status across all arrays. The document provides examples of how BCM and Replication Monitor simplify replication management compared to traditional point-to-point remote copy methods. It also announces upcoming webcast sessions on related topics.

MySQL Performance Webinar is a series of slides giving hints on how improve performance in a MySQL installation and how to analyze how the server is doing.

The document summarizes an upcoming virtual meetup on integrating Snowflake and Apache Kafka with Mulesoft. The meetup agenda includes an overview of event-driven architecture, introductions to Snowflake and its benefits as a cloud-based data warehouse, an introduction to Apache Kafka as an open-source stream processing platform, and steps for integrating Snowflake and Kafka with Mulesoft. The document provides details on Snowflake and Kafka APIs and applications, and guidelines for participants to ask questions and provide feedback.

Presenter: Devendra Tagare - DataTorrent Engineer, Contributor to Apex, Data Architect experienced in building high scalability big data platforms. Apache Apex is a next generation native Hadoop big data platform. This talk will cover details about how it can be used as a powerful and versatile platform for big data. Apache Apex is a native Hadoop data-in-motion platform. We will discuss architectural differences between Apache Apex features with Spark Streaming. We will discuss how these differences effect use cases like ingestion, fast real-time analytics, data movement, ETL, fast batch, very low latency SLA, high throughput and large scale ingestion. We will cover fault tolerance, low latency, connectors to sources/destinations, smart partitioning, processing guarantees, computation and scheduling model, state management and dynamic changes. We will also discuss how these features affect time to market and total cost of ownership.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/39NIjLV. Akhilesh Gupta does a technical deep-dive into how Linkedin uses the Play/Akka Framework and a scalable distributed system to enable live interactions like likes/comments at massive scale at extremely low costs across multiple data centers. Filmed at qconlondon.com. Akhilesh Gupta is the technical lead for LinkedIn's Real-time delivery infrastructure and LinkedIn Messaging. He has been working on the revamp of LinkedIn’s offerings to instant, real-time experiences. Before this, he was the head of engineering for the Ride Experience program at Uber Technologies in San Francisco.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2x0Fav8. Jose Nino guides the audience through the journey of Mobile APIs at Lyft. He focuses on how the team has reaped the benefits of API generation to experiment with the network transport layer. He also discusses recent developments the team has made with Envoy Mobile and the roadmap ahead. Filmed at qconlondon.com. Jose Nino works as a Software Engineer at Lyft.

The document discusses key trends in software teams and teamwork in 2020 according to a report by InfoQ. Some of the trends discussed include the sudden shift to remote work due to COVID-19, with many teams not fully prepared; the continued spread of agile practices to other areas of organizations beyond software development; and a growing focus on diversity, inclusion, and creating more humanistic and sustainable workplaces. The report aims to help technical leaders and individual contributors navigate these trends and challenges to improve team experiences and organizational success.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2QCmmJ0. Mark Stoodley examines some of the strengths and weaknesses of the different Java compilation technologies, if one was to apply them in isolation. Stoodley discusses how production JVMs are assembling a combination of these tools that work together to provide excellent performance across the large spectrum of applications written in Java and JVM based languages. Filmed at qconsf.com. Mark Stoodley joined IBM Canada to build Java JIT compilers for production use and led the team that delivered AOT compilation in the IBM SDK for Java 6. He spent the last five years leading the effort to open source nearly 4.3 million lines of source code from the IBM J9 Java Virtual Machine to create the two open source projects Eclipse OMR and Eclipse OpenJ9, and now co-leads both projects.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2SXXXiD. Katharina Probst talks about what it means to act like an owner and why teams need ownership to be high-performing. When team members, regardless of whether they have a formal leadership role or not, act like owners, magical things can happen. She shares ideas that we can apply to our own work, and talks about how to recognize when we don’t live up to our own expectations of acting like an owner. Filmed at qconsf.com. Katharina Probst is a Senior Engineering Leader, Kubernetes & SaaS at Google. Before this, she was leading engineering teams at Netflix, being responsible for the Netflix API, which helps bring Netflix streaming to millions of people around the world. Prior to joining Netflix, she was in the cloud computing team at Google, where she saw cloud computing from the provider side.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2T04Lw4. Sergey Kuksenko talks about the performance benefits inline types bring to Java and how to exploit them. Inline/value types are the key part of experimental project Valhalla, which should bring new abilities to the Java language. Filmed at qconsf.com. Sergey Kuksenko is a Java Performance Engineer at Oracle working on a variety of Java and JVM performance enhancements. He started working as Java Engineer in 1996 and as Java Performance Engineer in 2005. He has had a passion for exploring how Java works on modern hardware.

Do you need service meshes in your tech stack? This on-line guide aims to answer pertinent questions for software architects and technical leaders, such as: what is a service mesh?, do I need a service mesh?, how do I evaluate the different service mesh offerings? In software architecture, a service mesh is a dedicated infrastructure layer for facilitating service-to-service communications between microservices, often using a sidecar proxy.

The document discusses Cloud Native CI/CD and the Tekton project. It begins with an overview of cloud native concepts like containers, Kubernetes, and microservices. It then defines characteristics of cloud native CI/CD like being serverless, using open standards, reusable components, and config as code. The document introduces Tekton as a cloud native CI/CD building block on Kubernetes that uses custom resources for tasks, pipelines, triggers and more. It highlights a demo of Tekton before concluding with the project's roadmap and how to get involved.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2S7lDiS. Sasha Rosenbaum shows how a CI/CD pipeline for Machine Learning can greatly improve both productivity and reliability. Filmed at qconsf.com. Sasha Rosenbaum is a Program Manager on the Azure DevOps engineering team, focused on improving the alignment of the product with open source software. She is a co-organizer of the DevOps Days Chicago and the DeliveryConf conferences, and recently published a book on Serverless computing in Azure with .NET.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/36epVKg. Todd Montgomery discusses the techniques and lessons learned from implementing Aeron Cluster. His focus is on how Raft can be implemented on Aeron, minimizing the network round trip overhead, and comparing single process to a fully distributed cluster. Filmed at qconsf.com. Todd Montgomery is a networking hacker who has researched, designed, and built numerous protocols, messaging-oriented middleware systems, and real-time data systems, done research for NASA, contributed to the IETF and IEEE, and co-founded two startups. He currently works as an independent consultant and is active in several open source projects.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2FWc5Sk. Ben Sigelman talks about "Deep Systems", their common properties and re-introduces the fundamentals of control theory from the 1960s, including the original conceptualizations of Observability & Controllability. He uses examples from Google & other companies to illustrate how deep systems have damaged people's ability to observe software, and what needs to be done in order to regain control. Filmed at qconsf.com. Ben Sigelman is a co-founder and the CEO at LightStep, a co-creator of Dapper (Google’s distributed tracing system), and co-creator of the OpenTracing and OpenTelemetry projects (both part of the CNCF). His work and interests gravitate towards observability, especially where microservices, high transaction volumes, and large engineering organizations are involved.

This document discusses machine learning in the browser using Tensorflow.js. It begins with an introduction and overview of Tensorflow.js, including how it can be used for both authoring models and importing pre-trained models for inference. Examples are provided of using the Ops API to fit a polynomial function and the Layers API to build and train an autoencoder in the browser. Challenges of developing machine learning applications in the browser are also discussed.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2s9T3Vl. Colin Eberhardt looks at some of the internals of WebAssembly, explores how it works “under the hood”, and looks at how to create a (simple) compiler that targets this runtime. Filmed at qconsf.com. Colin Eberhardt is the Technology Director at Scott Logic, a UK-based software consultancy where they create complex application for their financial services clients. He is an avid technology enthusiast, spending his evenings contributing to open source projects, writing blog posts and learning as much as he can.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2S9tOgy. Satyajit Thadeshwar provides useful insights on how Netflix implemented a secure, token-agnostic, identity solution that works with services operating at a massive scale. He shares some of the lessons learned from this process, both from architectural diagrams and code. Filmed at qconsf.com. Satyajit Thadeshwar is an engineer on the Product Edge Access Services team at Netflix, where he works on some of the most critical services focusing on user and device authentication. He has more than a decade of experience building fault-tolerant and highly scalable, distributed systems.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2Ezs08q. Justin Ryan talks about Netflix’ scalability issues and some of the ways they addressed it. He shares successes they’ve had from unintuitively partitioning computation into multiple services to get better runtime characteristics. He introduces us to useful probabilistic data structures, innovative bi-directional data passing, open-source projects available from Netflix that make this all possible. Filmed at qconsf.com. Justin Ryan is Playback Edge Engineering at Netflix. He works on some of the most critical services at Netflix, specifically focusing on user and device authentication. Years of building developer tools has also given him a healthy set of opinions on developer productivity.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2Z4ZJjn. Kilian Valkhof discusses the process of making an Electron app feel at home on all three platforms: Windows, MacOS and Linux, making devs aware of the pitfalls and how to avoid them. Filmed at qconsf.com. Kilian Valkhof is a Front-end Developer & User-experience Designer at Firstversionist. He writes about various topics, from design to machine learning, on his personal website, kilianvalkhof.com and is a frequent contributer to open source software. He is part of the Electron governance team that oversees the development of the Electron framework.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/344PnB1. Steve Klabnik goes over the deep details of how async/await works in Rust, covering concepts like coroutines, generators, stack-less vs stack-ful, "pinning", and more. Filmed at qconsf.com. Steve Klabnik is on the core team of Rust, leads the documentation team, and is an author of "The Rust Programming Language." He is a frequent speaker at conferences and is a prolific open source contributor, previously working on projects such as Ruby and Ruby on Rails.

Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2OUz6dt. Chris Riccomini talks about the current state-of-the-art in data pipelines and data warehousing, and shares some of the solutions to current problems dealing with data streaming and warehousing. Filmed at qconsf.com. Chris Riccomini works as a Software Engineer at WePay.

The document discusses testing infrastructure as code using automated tests. It recommends writing unit tests to test individual components in isolation by deploying real infrastructure, validating it works through methods like HTTP requests or API calls, and then undeploying it. The document provides an example of using Terratest to write a unit test for a Terraform module that deploys a "Hello World" web app. It shows how to build and deploy the infrastructure, validate it works by making an HTTP request, and clean it up after the test.

This document discusses strategies for balancing discovery and delivery work in high-performance teams. It recommends allocating 50% of time to discovery/innovation work and 50% to delivery/execution work. Key learnings include maximizing learning through MVPs, improving idea flow through collective intelligence, and achieving alignment through OKRs, briefs, and roadmaps. Metrics should measure outcomes at the business, product, and engagement levels to guide the work. Managing discovery work in complex problem spaces requires an adaptive approach.

The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era. Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.

Invited Remote Lecture to SC21 The International Conference for High Performance Computing, Networking, Storage, and Analysis St. Louis, Missouri November 18, 2021

Java Servlet programs

Our Linux Web Hosting plans offer unbeatable performance, security, and scalability, ensuring your website runs smoothly and efficiently. Visit- https://onliveserver.com/linux-web-hosting/

Everything that I found interesting about engineering leadership last month

Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.

Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation

CIO Council Cal Poly Humboldt September 22, 2023

This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.

Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data. The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs. Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution! Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.

Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.

Manual Method of Product Research | Helium10 | MBS RETRIEVER

Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge. You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter. The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.

Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023 https://arxiv.org/abs/2307.12980

We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner! We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too! Check out our proposed agenda below 👇👇 08:30 ☕ Welcome coffee (30') 09:00 Opening note/ Intro to UiPath Community (10') Cristina Vidu, Global Manager, Marketing Community @UiPath Dawid Kot, Digital Transformation Lead @Proservartner 09:10 Cloud migration - Proservartner & DOVISTA case study (30') Marcin Drozdowski, Automation CoE Manager @DOVISTA Pawel Kamiński, RPA developer @DOVISTA Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner 09:40 From bottlenecks to breakthroughs: Citizen Development in action (25') Pawel Poplawski, Director, Improvement and Automation @McCormick & Company Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company 10:05 Next-level bots: API integration in UiPath Studio (30') Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner 10:35 ☕ Coffee Break (15') 10:50 Document Understanding with my RPA Companion (45') Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath 11:35 Power up your Robots: GenAI and GPT in REFramework (45') Krzysztof Karaszewski, Global RPA Product Manager 12:20 🍕 Lunch Break (1hr) 13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30') Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance 13:50 Communications Mining - focus on AI capabilities (30') Thomasz Wierzbicki, Business Analyst @Office Samurai 14:20 Polish MVP panel: Insights on MVP award achievements and career profiling

This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization. Key Takeaways: * Understand why connection pooling is essential for high-traffic applications * Explore various connection poolers available for PostgreSQL, including pgbouncer * Learn the configuration options and functionalities of pgbouncer * Discover best practices for monitoring and troubleshooting connection pooling setups * Gain insights into real-world use cases and considerations for production environments This presentation is ideal for: * Database administrators (DBAs) * Developers working with PostgreSQL * DevOps engineers * Anyone interested in optimizing PostgreSQL performance Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services

MuleSoft Meetup on APM and IDP

These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.

Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).

If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights. During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to: - Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value - Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems - Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors - Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported - Look Ahead: Gain insights into where FME is headed with coordinate systems in the future Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!