Building a reliable, scalable service with Clojure and Core.async
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How we approached the problem of building a reliable system that must deal with complex failures, and must scale, while keeping our (Clojure) codebase simple, extensible, and verifiable. Without losing our minds.
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This document discusses testing strategies for data pipelines at scale. It recommends (1) communicating a testing strategy, (2) removing barriers to testing, (3) pursuing great staging environments, and (4) continuous end-to-end testing using a tool called Kafka Detective. Kafka Detective enables end-to-end testing by comparing data between staging and production Kafka topics and reporting any differences. The author details how Kafka Detective has found real issues in their pipelines and shares its features and roadmap for supporting more use cases.
Shattering The Monolith(s) (Martin Kess, Namely) Kafka Summit SF 2019
Namely is a late-stage startup that builds HR, Payroll and Benefits software for mid-sized businesses. Over the years, we've ended up with a number of monolithic and legacy applications covering overlapping domain concepts, which has limited our ability to deliver new and innovative features to our customers. We need a way to get our data out of the monoliths to decouple our systems and increase our velocity. We've chosen Kafka as our way to liberate our data in a reliable, scalable and maintainable way. This talk covers specific examples of successes and missteps in our move to Kafka as the backbone of our architecture. It then looks to the future - where we are trying to go, and how we plan on getting, both from the short term and long term perspectives. Key Takeaways: - Successful and unsuccessful approaches to gradually introducing Kafka to a large organization in a way that meets the short and long term needs of the business. - Successful and unsuccessful patterns for using Kafka. - Pragmaticism versus purisim: Building Kafka-first systems, and migrating legacy systems to Kafka with Debezium. - Combining event driven systems with RPC based systems. Observability, alerting and testing. - Actionable steps that you can take to your organization to help drive adoption.
Building Asynchronous Applications
Johan Edstrom discussed scaling applications by making them more asynchronous and distributed. He covered several Apache projects like Camel, Karaf, ActiveMQ, Cassandra and CXF that can help achieve this. Specifically, he showed how to:
1. Use Camel and OSGi to build asynchronous microservices that communicate via an enterprise integration pattern like a message queue.
2. Store data in Cassandra for asynchronous and high-performance access across data centers.
3. Expose APIs asynchronously using CXF and handle requests with non-blocking techniques like futures.
4. Offload business logic to an asynchronous process running on a distributed cache like HazelCast for shared data and parallel processing across nodes
AWS Startup Webinar | Developing on AWS
The document discusses best practices for developing minimum viable products (MVPs) on AWS. It recommends releasing quickly with limited core features, iterating in production, and basing business decisions on data. It advocates decomposing monolithic architectures into loosely coupled microservices and using AWS services for undifferentiated heavy lifting to focus on core differentiators. Building block services like compute, storage, databases, and analytics are discussed. Development approaches like infrastructure as code, continuous integration/delivery, and automation are presented to help deliver changes continuously and safely to production.
Apinizer - Full API Lifecycle and Integration Platform
A brief presentation about Apinizer, which has API Gateway, Instant API Creator, API Monitor, API Tester, API Designer, API Analytics and API Portal modules
Koby holzer live person-openstack_story
Liveperson has successfully adopted OpenStack over the past year to power its infrastructure. It now runs 100% of its services on OpenStack, including web and application servers supporting chat, marketing, and voice products for its 8,500 customers. Liveperson's OpenStack deployment has grown from 5 hosts and 80 VMs to over 300 hosts and 2,000 VMs. The company achieved its goals of a scalable, cost-efficient infrastructure using commodity servers to power its core SaaS business.
ENT309 scaling up to your first 10 million users
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Couchbase Singapore Meetup #2: Why Developing with Couchbase is easy !!
The document discusses new features and improvements in Couchbase 4.6, including timestamp-based conflict resolution for cross datacenter replication, secret management and pluggable authentication modules for security, and new CBImport and CBExport tools. It also covers updates to search and query functionality.
ENT309 Scaling Up to Your First 10 Million Users
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Data Streaming with Apache Kafka & MongoDB - EMEA
A new generation of technologies is needed to consume and exploit today's real time, fast moving data sources. Apache Kafka, originally developed at LinkedIn, has emerged as one of these key new technologies.
This webinar explores the use-cases and architecture for Kafka, and how it integrates with MongoDB to build sophisticated data-driven applications that exploit new sources of data.
Webinar: Data Streaming with Apache Kafka & MongoDB
A new generation of technologies is needed to consume and exploit today's real time, fast moving data sources. Apache Kafka, originally developed at LinkedIn, has emerged as one of these key new technologies.
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Apinizer - Full API Lifecycle and Integration Platform
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Recently uploaded
一比一原版(UMN毕业证)明尼苏达大学毕业证如何办理
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KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
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一比一原版(USF毕业证)旧金山大学毕业证如何办理
USF硕士毕业证成绩单【微信95270640】一比一伪造旧金山大学文凭@假冒USF毕业证成绩单+Q微信95270640办理USF学位证书@仿造USF毕业文凭证书@购买旧金山大学毕业证成绩单USF真实使馆认证/真实留信认证回国人员证明
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三：真实教育部认证教育部存档教育部留服网站永久可查
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国外毕业证学位证成绩单办理方法：
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2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
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教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
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ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
Presentation from Ghazal Aakel and Eric Jochum at the GSD Community Stage Meetup on June 6th, 2024
如何办理(hull学位证书)英国赫尔大学毕业证硕士文凭原版一模一样
原版定制【微信:bwp0011】《(hull学位证书)英国赫尔大学毕业证硕士文凭》【微信:bwp0011】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
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三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
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8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
Unveiling the Advantages of Agile Software Development.pdf
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
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Oracle Database 19c New Features for DBAs and Developers. This video you can watch from my youtube channel at https://youtu.be/m-F-mZA3MkU
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ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
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Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Webinar On-Demand: Using Flutter for Embedded
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Using Query Store in Azure PostgreSQL to Understand Query Performance
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
在线购买加拿大英属哥伦比亚大学毕业证本科学位证书原版一模一样
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Artificia Intellicence and XPath Extension Functions
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UI5con 2024 - Bring Your Own Design System
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.
What next after learning python programming basics
What next after learning python programming basics
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
WWDC 2024 Keynote Review: For CocoaCoders Austin
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Measures in SQL (SIGMOD 2024, Santiago, Chile)
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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Building a reliable, scalable service with Clojure and Core.async
- 1. Building reliable, scalable services with Clojure and Core.async Kapil Reddy - Helpshift
- 2. Building reliable, scalable services with Clojure and Core.async Kapil Reddy - Helpshift
- 3. About me - Kapil Staff Engineer @ Helpshift Clojure Distributed Systems Games Music Books/Comics Football
- 4. Helpshift is a Mobile CRM SaaS product. We help connect app developers with their customers. Since everything is now on mobile.
- 5. • 600M+ MAU • 60k RPS • 500GB / day Scale These are some of the scale numbers we have reached at Helpshift.
- 6. Reliable • Fail fast • Detect non-recoverable errors • Resilient • Retries recoverable errors • Backpressure • Detect degraded state At this scale services need to be reliable. We need to have exact control on how things behave under failure conditions.
- 7. Let’s take a look at the problem. We will build the solution to the problem iteratively once we understand the scope We do a lot of writes to ElasticSearch but those writes can be done asynchronously. So application servers just push updates to a Kafka topic. We need write a Kafka consumer that reads from the topic and performs writes to ElasticSearch. But wait! Elasticsearch has bulk api. So we need to write a Kafka consumer that bulk writes to Elasticsearch.
- 8. Testing becomes simpler. It’s just putting things in channel and verifying FSM state Test generate signals and data. Assertion is checking what state FSM goes into.
- 9. Scale • V1 - 150 rps • Today - 5k rps Scaling a reliable service which recovers from error states is very simple. It’s basically Kafka consumer that can handle all the happy and unhappy paths. Scaling it means just adding more instances of these services or FSMs in the same service.
- 10. Extensibility / Maintainability • First version - 5 weeks • MongoDB - 2 weeks • Active maintainer - 1 engineer - 20% time • In Production - 2 years • LOC - 2k • Project as a library
- 11. Summary • Reliable system == Predictable failures and happy paths • Use CSP / core.async to decouple components • Central FSM that receives all data and control signals to take decisions