The document discusses Nouka, an open source inventory management tool for Linux. Nouka consists of three parts - Nouka data collector, Naya data store, and Yaoya data converter. Nouka data collector runs commands periodically on Linux machines and sends the results to Naya data store. Naya uses Fluentd and MongoDB to store the collected data. Yaoya then converts and outputs the data in various formats like JSON, CSV for analysis. Overall, Nouka provides an automatic and periodic way to collect and centralize inventory data from Linux machines.
This document discusses setting up a custom non-RDS MySQL replication configuration across multiple Availability Zones on AWS. It describes using MHA (Master HA Manager) to monitor a MySQL master and promote a slave to master if the original master fails, allowing for high availability and automated failover. Non-RDS configurations offer more flexibility compared to RDS by allowing custom storage engines, distributions, instance types and fast (<20s) failover without DNS issues.
The document discusses concepts related to event loops and concurrency in programming. It includes code snippets in Java showing the use of NIO selectors and channels for non-blocking I/O. Diagrams are shown illustrating reactor patterns and Vert.x modules deployed across multiple CPUs. The summary provides an overview of the main topics and techniques discussed in the technical document.
1. The document discusses Docker containers, Docker machines, and Docker Compose as tools for building Python development environments and deploying backend services.
2. It provides examples of using Docker to run sample Python/Django applications with MySQL and PostgreSQL databases in containers, and load testing the applications.
3. The examples demonstrate performance testing Python REST APIs with different database backends and caching configurations using Docker containers.
Server::Starter is a daemon that allows hot-deployment of server programs. It was originally designed for Perl web applications but can now also be used to run Java web apps by having the Java Virtual Machine inherit the listening socket from the parent Server::Starter process. This new capability allows easy upgrading of the JVM version and shutdown of old processes when new ones are launched, though it does not currently work on Mac OS X.
This document contains information about EventMachine and the reactor pattern in Ruby. It discusses how EventMachine implements the reactor pattern to allow non-blocking and asynchronous I/O in Ruby. It provides examples of how to use EventMachine to run code asynchronously using callbacks, timers, queues, and fibers to avoid "callback hell". The document also lists several other languages and frameworks that use the reactor pattern for asynchronous programming.
This document discusses JavaScript engines and event loops. It explains key concepts like the call stack, event queue, microtasks vs macrotasks, and how JavaScript creates the illusion of being asynchronous through the event loop. The event loop constantly checks the call stack and queue, executing functions to give the appearance of multithreading on a single thread. Web APIs also provide asynchronous capabilities that interact with the event loop.
Automate with Ansible basic (2/e, English)Chu-Siang Lai
This document outlines the presentation "The Ansible automated configuration tips of modern IT engineer must be know (2/e)". It begins with an introduction of the speaker and their experience with Ansible. The outline includes sections on what a modern IT engineer is, the benefits of automated configuration tools, what Ansible is, how to deploy an Ansible environment, and how to use Ansible. Key points are that Ansible is an easy to use configuration management tool that reduces errors and makes infrastructure testing and deployment easier. The document provides examples of using Ansible ad-hoc commands and playbooks to automate tasks.
The document discusses Nouka, an open source inventory management tool for Linux. Nouka consists of three parts - Nouka data collector, Naya data store, and Yaoya data converter. Nouka data collector runs commands periodically on Linux machines and sends the results to Naya data store. Naya uses Fluentd and MongoDB to store the collected data. Yaoya then converts and outputs the data in various formats like JSON, CSV for analysis. Overall, Nouka provides an automatic and periodic way to collect and centralize inventory data from Linux machines.
This document discusses setting up a custom non-RDS MySQL replication configuration across multiple Availability Zones on AWS. It describes using MHA (Master HA Manager) to monitor a MySQL master and promote a slave to master if the original master fails, allowing for high availability and automated failover. Non-RDS configurations offer more flexibility compared to RDS by allowing custom storage engines, distributions, instance types and fast (<20s) failover without DNS issues.
The document discusses concepts related to event loops and concurrency in programming. It includes code snippets in Java showing the use of NIO selectors and channels for non-blocking I/O. Diagrams are shown illustrating reactor patterns and Vert.x modules deployed across multiple CPUs. The summary provides an overview of the main topics and techniques discussed in the technical document.
1. The document discusses Docker containers, Docker machines, and Docker Compose as tools for building Python development environments and deploying backend services.
2. It provides examples of using Docker to run sample Python/Django applications with MySQL and PostgreSQL databases in containers, and load testing the applications.
3. The examples demonstrate performance testing Python REST APIs with different database backends and caching configurations using Docker containers.
Server::Starter is a daemon that allows hot-deployment of server programs. It was originally designed for Perl web applications but can now also be used to run Java web apps by having the Java Virtual Machine inherit the listening socket from the parent Server::Starter process. This new capability allows easy upgrading of the JVM version and shutdown of old processes when new ones are launched, though it does not currently work on Mac OS X.
This document contains information about EventMachine and the reactor pattern in Ruby. It discusses how EventMachine implements the reactor pattern to allow non-blocking and asynchronous I/O in Ruby. It provides examples of how to use EventMachine to run code asynchronously using callbacks, timers, queues, and fibers to avoid "callback hell". The document also lists several other languages and frameworks that use the reactor pattern for asynchronous programming.
This document discusses JavaScript engines and event loops. It explains key concepts like the call stack, event queue, microtasks vs macrotasks, and how JavaScript creates the illusion of being asynchronous through the event loop. The event loop constantly checks the call stack and queue, executing functions to give the appearance of multithreading on a single thread. Web APIs also provide asynchronous capabilities that interact with the event loop.
Automate with Ansible basic (2/e, English)Chu-Siang Lai
This document outlines the presentation "The Ansible automated configuration tips of modern IT engineer must be know (2/e)". It begins with an introduction of the speaker and their experience with Ansible. The outline includes sections on what a modern IT engineer is, the benefits of automated configuration tools, what Ansible is, how to deploy an Ansible environment, and how to use Ansible. Key points are that Ansible is an easy to use configuration management tool that reduces errors and makes infrastructure testing and deployment easier. The document provides examples of using Ansible ad-hoc commands and playbooks to automate tasks.
Как мы сделали PHP 7 в два раза быстрее PHP 5 / Дмитрий Стогов (Zend Technolo...Ontico
PHP 7.0 вышел год назад и уже используется многими крупными компаниями. Почти все они отмечают, что переход с PHP 5 дал приблизительно двукратное увеличение производительности на своих реальных задачах, позволив сократить количество серверов.
Я расскажу о том, как мы пришли к идеям, легшим в основу PHP 7; о внутреннем устройстве PHP, изменениях в базовых структурах данных и алгоритмах, определивших успех; новых идеях, реализуемых в еще не вышедших версиях.
The document discusses performance testing of an API server. It provides details on:
1) Preparing for performance testing by generating test data and configuring tools like Artillery to simulate user traffic.
2) Conducting the performance tests on different server configurations to identify bottlenecks, including testing with different Node.js versions.
3) Analyzing the results of the performance tests by profiling requests and examining response times to further optimize the server performance.
Deep Visibility for Production MicroservicesPaul Bauer
This document discusses various aspects of system visibility for microservices including:
1. The need for targeted visibility tools to provide insights into individual services and processes since breaking a monolith reduces system-wide visibility.
2. Specific tools mentioned that can provide visibility include metrics systems like Datadog and Prometheus, collecting core dumps, profile graphs, and tracing/application performance monitoring.
3. It also notes that breaking a monolith challenges established visibility techniques by distributing processes across services and networks.
agri inventory - nouka data collector / yaoya data convertorToshiaki Baba
This document provides instructions for setting up and using an agri inventory system called nouka and yaoya. Nouka collects data from servers using commands and sends it to the naya data store, which uses fluentd and MongoDB. It explains the components, data formats, and provides steps to get the required software and set up the system.
Data Science in DevOps/SysOps - Boaz Shuster - DevOpsDays Tel Aviv 2018DevOpsDays Tel Aviv
I will explain how collecting data from your continuous integration and delivery environments can help improve production releases. This talk is inspired by my previous job where I had the chance to boost the release pipeline using metrics and data.
All you need to know about the JavaScript event loopSaša Tatar
The document discusses the JavaScript event loop and call stack. It explains that JavaScript is single-threaded with an event loop that processes tasks in the order they are received. There is a call stack that processes code synchronously, and an event queue that holds asynchronous callbacks from events like timers, promises, etc. The event loop continually checks the call stack and event queue, running tasks from the queue after the stack is empty. This allows asynchronous code to run without blocking synchronous code.
This document discusses the Linux tracing tool systemtap. It provides an overview of systemtap and what it can be used for, including tracing system calls, kernel functions, and application functions. It also discusses how systemtap works, how it uses debugging symbols, and how RPMs handle separate debug information files. Several examples are given of using systemtap probes to trace requests for Nginx, cURL, Redis, MySQL, and TCP retransmissions. The document concludes by mentioning using DTrace for other languages beyond C, such as MySQL, Python, and Java.
PostgreSQL Configuration for Humans / Alvaro Hernandez (OnGres)Ontico
HighLoad++ 2017
Зал «Кейптаун», 8 ноября, 17:00
Тезисы:
http://www.highload.ru/2017/abstracts/3096.html
PostgreSQL is the world’s most advanced open source database. Indeed! With around 270 configuration parameters in postgresql.conf, plus all the knobs in pg_hba.conf, it is definitely ADVANCED!
How many parameters do you tune? 1? 8? 32? Anyone ever tuned more than 64?
No tuning means below par performance. But how to start? Which parameters to tune? What are the appropriate values? Is there a tool --not just an editor like vim or emacs-- to help users manage the 700-line postgresql.conf file?
Join this talk to understand the performance advantages of appropriately tuning your postgresql.conf file, showcase a new free tool to make PostgreSQL configuration possible for HUMANS, and learn the best practices for tuning several relevant postgresql.conf parameters.
Peeking into the Black Hole Called PL/PGSQL - the New PL Profiler / Jan Wieck...Ontico
The new PL profiler allows you to easily get through the dark barrier, PL/pgSQL puts between tools like pgbadger and the queries, you are looking for.
Query and schema tuning is tough enough by itself. But queries, buried many call levels deep in PL/pgSQL functions, make it torture. The reason is that the default monitoring tools like logs, pg_stat_activity and pg_stat_statements cannot penetrate into PL/pgSQL. All they report is that your query calling function X is slow. That is useful if function X has 20 lines of simple code. Not so useful if it calls other functions and the actual problem query is many call levels down in a dungeon of 100,000 lines of PL code.
Learn from the original author of PL/pgSQL and current maintainer of the plprofiler extension how you can easily analyze, what is going on inside your PL code.
This document provides an overview of Ansible, an open source tool for configuration management and application deployment. It discusses how Ansible aims to simplify infrastructure automation tasks through a model-driven approach without requiring developers to learn DevOps tools. Key points:
- Ansible uses YAML playbooks to declaratively define server configurations and deployments in an idempotent and scalable way.
- It provides ad-hoc command execution and setup facts gathering via SSH. Playbooks can target groups of servers to orchestrate complex multi-server tasks.
- Variables, templates, conditionals allow playbooks to customize configurations for different environments. Plugins support integration with cloud, monitoring, messaging tools.
- Ansible aims to reduce complexity compared
This document provides an overview of Spock, a testing framework for Java and Groovy. It describes how to include Spock tests in a project, run Spock tests, debug Spock tests, view test coverage, and integrate Spock tests with Sonar. It also explains Spock specifications, feature methods, blocks like setup, when/then, expect, and cleanup. It demonstrates how to write conditions, handle exceptions, create helper methods, mocks, stubs, and spies in Spock tests.
Steve Corona: Scaling LAMP doesn't have to suckWebExpo
"I went from sleeping in front of my laptop, restarting apache every hour, to automatically scaling servers from my phone."
More at http://webexpo.net/prague2013/talk/scaling-lamp-doesnt-have-to-suck/
Rex is a framework that simplifies system administration tasks like user management, package installation, service management, and configuration across multiple servers. It uses a simple domain-specific language in Perl scripts called Rexfiles to define tasks that can be run remotely on groups of servers via SSH. Predefined modules help perform common operations such as deploying code to application servers. Rex aims to provide traceable, testable deployments and make rollbacks easy.
The document compares the performance of pagodabox, heroku, and a dedicated Sakura server by pinging each server and reporting the round-trip times. Pagodabox had an average round-trip time of 151ms, heroku was slower at 266ms on average, and the dedicated Sakura server was the fastest at 15ms on average. It also provides instructions for using the pagoda CLI tool to set up a tunnel to access services running on pagodabox.
This document discusses Facebook's migration to systemd at scale. It covers why Facebook migrated from SysV init scripts to systemd, how they performed the migration and rollout, their configuration management approach using Chef, examples of systemd features and custom Chef cookbooks developed for systemd, case studies of issues encountered and solutions, and how Facebook works with the systemd upstream project.
Performance is a feature! - Developer South Coast - part 2Matt Warren
Starting with the premise that "Performance is a Feature", this session will look at how to measure, what to measure and how get the best performance from your .NET code.
We will look at real-world examples from the Roslyn code-base and StackOverflow (the product), including how the .NET Garbage Collector needs to be tamed!
#OktoCampus - Workshop : An introduction to AnsibleCédric Delgehier
- A playbook is defined to check if a pattern is present in the content of a web page retrieved from localhost. The playbook registers the content and fails if the defined pattern is not found.
- The playbook is modified to define different patterns for different host groups - the groups "prod" and "recette" would each have their own unique pattern to check for.
- The playbook uses Ansible modules like uri to retrieve a web page, register to store the content, and fail if a registered pattern is not found in the content. Variables and conditionals allow defining patterns dynamically based on host groups.
Brief introduction to DTrace technologies within OpenSolaris/Solaris 10 and DTrace probes within Apache, PHP and MySQL can provide end to end dynamic tracing of your Drupal based web site..
This document discusses building hermetic systems without Docker. It defines hermetic systems as airtight and pure, with well-defined inputs and outputs. It discusses sources of non-determinism like external libraries and services that can introduce "leaks". It proposes using Clojure components and embedding services like Elasticsearch to build deterministic, reproducible systems. Components are reusable units with well-defined dependencies and lifecycles. Embedding services isolates the system from external changes. Randomness and time can also introduce non-determinism but may be modeled as reproducible services. The goal is to evaluate systems, identify leaks, and design trade-offs to build robust, hermetic systems.
Как мы сделали PHP 7 в два раза быстрее PHP 5 / Дмитрий Стогов (Zend Technolo...Ontico
PHP 7.0 вышел год назад и уже используется многими крупными компаниями. Почти все они отмечают, что переход с PHP 5 дал приблизительно двукратное увеличение производительности на своих реальных задачах, позволив сократить количество серверов.
Я расскажу о том, как мы пришли к идеям, легшим в основу PHP 7; о внутреннем устройстве PHP, изменениях в базовых структурах данных и алгоритмах, определивших успех; новых идеях, реализуемых в еще не вышедших версиях.
The document discusses performance testing of an API server. It provides details on:
1) Preparing for performance testing by generating test data and configuring tools like Artillery to simulate user traffic.
2) Conducting the performance tests on different server configurations to identify bottlenecks, including testing with different Node.js versions.
3) Analyzing the results of the performance tests by profiling requests and examining response times to further optimize the server performance.
Deep Visibility for Production MicroservicesPaul Bauer
This document discusses various aspects of system visibility for microservices including:
1. The need for targeted visibility tools to provide insights into individual services and processes since breaking a monolith reduces system-wide visibility.
2. Specific tools mentioned that can provide visibility include metrics systems like Datadog and Prometheus, collecting core dumps, profile graphs, and tracing/application performance monitoring.
3. It also notes that breaking a monolith challenges established visibility techniques by distributing processes across services and networks.
agri inventory - nouka data collector / yaoya data convertorToshiaki Baba
This document provides instructions for setting up and using an agri inventory system called nouka and yaoya. Nouka collects data from servers using commands and sends it to the naya data store, which uses fluentd and MongoDB. It explains the components, data formats, and provides steps to get the required software and set up the system.
Data Science in DevOps/SysOps - Boaz Shuster - DevOpsDays Tel Aviv 2018DevOpsDays Tel Aviv
I will explain how collecting data from your continuous integration and delivery environments can help improve production releases. This talk is inspired by my previous job where I had the chance to boost the release pipeline using metrics and data.
All you need to know about the JavaScript event loopSaša Tatar
The document discusses the JavaScript event loop and call stack. It explains that JavaScript is single-threaded with an event loop that processes tasks in the order they are received. There is a call stack that processes code synchronously, and an event queue that holds asynchronous callbacks from events like timers, promises, etc. The event loop continually checks the call stack and event queue, running tasks from the queue after the stack is empty. This allows asynchronous code to run without blocking synchronous code.
This document discusses the Linux tracing tool systemtap. It provides an overview of systemtap and what it can be used for, including tracing system calls, kernel functions, and application functions. It also discusses how systemtap works, how it uses debugging symbols, and how RPMs handle separate debug information files. Several examples are given of using systemtap probes to trace requests for Nginx, cURL, Redis, MySQL, and TCP retransmissions. The document concludes by mentioning using DTrace for other languages beyond C, such as MySQL, Python, and Java.
PostgreSQL Configuration for Humans / Alvaro Hernandez (OnGres)Ontico
HighLoad++ 2017
Зал «Кейптаун», 8 ноября, 17:00
Тезисы:
http://www.highload.ru/2017/abstracts/3096.html
PostgreSQL is the world’s most advanced open source database. Indeed! With around 270 configuration parameters in postgresql.conf, plus all the knobs in pg_hba.conf, it is definitely ADVANCED!
How many parameters do you tune? 1? 8? 32? Anyone ever tuned more than 64?
No tuning means below par performance. But how to start? Which parameters to tune? What are the appropriate values? Is there a tool --not just an editor like vim or emacs-- to help users manage the 700-line postgresql.conf file?
Join this talk to understand the performance advantages of appropriately tuning your postgresql.conf file, showcase a new free tool to make PostgreSQL configuration possible for HUMANS, and learn the best practices for tuning several relevant postgresql.conf parameters.
Peeking into the Black Hole Called PL/PGSQL - the New PL Profiler / Jan Wieck...Ontico
The new PL profiler allows you to easily get through the dark barrier, PL/pgSQL puts between tools like pgbadger and the queries, you are looking for.
Query and schema tuning is tough enough by itself. But queries, buried many call levels deep in PL/pgSQL functions, make it torture. The reason is that the default monitoring tools like logs, pg_stat_activity and pg_stat_statements cannot penetrate into PL/pgSQL. All they report is that your query calling function X is slow. That is useful if function X has 20 lines of simple code. Not so useful if it calls other functions and the actual problem query is many call levels down in a dungeon of 100,000 lines of PL code.
Learn from the original author of PL/pgSQL and current maintainer of the plprofiler extension how you can easily analyze, what is going on inside your PL code.
This document provides an overview of Ansible, an open source tool for configuration management and application deployment. It discusses how Ansible aims to simplify infrastructure automation tasks through a model-driven approach without requiring developers to learn DevOps tools. Key points:
- Ansible uses YAML playbooks to declaratively define server configurations and deployments in an idempotent and scalable way.
- It provides ad-hoc command execution and setup facts gathering via SSH. Playbooks can target groups of servers to orchestrate complex multi-server tasks.
- Variables, templates, conditionals allow playbooks to customize configurations for different environments. Plugins support integration with cloud, monitoring, messaging tools.
- Ansible aims to reduce complexity compared
This document provides an overview of Spock, a testing framework for Java and Groovy. It describes how to include Spock tests in a project, run Spock tests, debug Spock tests, view test coverage, and integrate Spock tests with Sonar. It also explains Spock specifications, feature methods, blocks like setup, when/then, expect, and cleanup. It demonstrates how to write conditions, handle exceptions, create helper methods, mocks, stubs, and spies in Spock tests.
Steve Corona: Scaling LAMP doesn't have to suckWebExpo
"I went from sleeping in front of my laptop, restarting apache every hour, to automatically scaling servers from my phone."
More at http://webexpo.net/prague2013/talk/scaling-lamp-doesnt-have-to-suck/
Rex is a framework that simplifies system administration tasks like user management, package installation, service management, and configuration across multiple servers. It uses a simple domain-specific language in Perl scripts called Rexfiles to define tasks that can be run remotely on groups of servers via SSH. Predefined modules help perform common operations such as deploying code to application servers. Rex aims to provide traceable, testable deployments and make rollbacks easy.
The document compares the performance of pagodabox, heroku, and a dedicated Sakura server by pinging each server and reporting the round-trip times. Pagodabox had an average round-trip time of 151ms, heroku was slower at 266ms on average, and the dedicated Sakura server was the fastest at 15ms on average. It also provides instructions for using the pagoda CLI tool to set up a tunnel to access services running on pagodabox.
This document discusses Facebook's migration to systemd at scale. It covers why Facebook migrated from SysV init scripts to systemd, how they performed the migration and rollout, their configuration management approach using Chef, examples of systemd features and custom Chef cookbooks developed for systemd, case studies of issues encountered and solutions, and how Facebook works with the systemd upstream project.
Performance is a feature! - Developer South Coast - part 2Matt Warren
Starting with the premise that "Performance is a Feature", this session will look at how to measure, what to measure and how get the best performance from your .NET code.
We will look at real-world examples from the Roslyn code-base and StackOverflow (the product), including how the .NET Garbage Collector needs to be tamed!
#OktoCampus - Workshop : An introduction to AnsibleCédric Delgehier
- A playbook is defined to check if a pattern is present in the content of a web page retrieved from localhost. The playbook registers the content and fails if the defined pattern is not found.
- The playbook is modified to define different patterns for different host groups - the groups "prod" and "recette" would each have their own unique pattern to check for.
- The playbook uses Ansible modules like uri to retrieve a web page, register to store the content, and fail if a registered pattern is not found in the content. Variables and conditionals allow defining patterns dynamically based on host groups.
Brief introduction to DTrace technologies within OpenSolaris/Solaris 10 and DTrace probes within Apache, PHP and MySQL can provide end to end dynamic tracing of your Drupal based web site..
This document discusses building hermetic systems without Docker. It defines hermetic systems as airtight and pure, with well-defined inputs and outputs. It discusses sources of non-determinism like external libraries and services that can introduce "leaks". It proposes using Clojure components and embedding services like Elasticsearch to build deterministic, reproducible systems. Components are reusable units with well-defined dependencies and lifecycles. Embedding services isolates the system from external changes. Randomness and time can also introduce non-determinism but may be modeled as reproducible services. The goal is to evaluate systems, identify leaks, and design trade-offs to build robust, hermetic systems.
Solr Troubleshooting - Treemap Approach: Presented by Alexandre Rafolovitch, ...Lucidworks
The document discusses troubleshooting techniques for Solr, including using a "TreeMap" process of establishing boundaries, splitting the problem, identifying relevant parts, zooming in, and re-formulating boundaries in an iterative process until the problem is fixed. It outlines how to establish boundaries by defining the identity, location, timing, and magnitude of the problem. Examples are provided for indexing and searching processes in Solr.
Apache Submarine: Unified Machine Learning PlatformWangda Tan
This document provides an overview of Apache Submarine, an open source unified machine learning platform. It discusses requirements for machine learning in production, including reusable experimentation and model management. It introduces Submarine's architecture and components like the Submarine service, workbench, and runtime connectors. Demos are provided of the Mini Submarine, Zeppelin integration, and Submarine Workbench. Current status and future plans are outlined, and several community use cases are mentioned.
Java Performance Analysis on Linux with Flame GraphsBrendan Gregg
This document discusses using Linux perf_events (perf) profiling tools to analyze Java performance on Linux. It describes how perf can provide complete visibility into Java, JVM, GC and system code but that Java profilers have limitations. It presents the solution of using perf to collect mixed-mode flame graphs that include Java method names and symbols. It also discusses fixing issues with broken Java stacks and missing symbols on x86 architectures in perf profiles.
The document discusses various techniques for profiling CPU and memory performance in Rust programs, including:
- Using the flamegraph tool to profile CPU usage by sampling a running process and generating flame graphs.
- Integrating pprof profiling into Rust programs to expose profiles over HTTP similar to how it works in Go.
- Profiling heap usage by integrating jemalloc profiling and generating heap profiles on program exit.
- Some challenges with profiling asynchronous Rust programs due to the lack of backtraces.
The key takeaways are that there are crates like pprof-rs and techniques like jemalloc integration that allow collecting CPU and memory profiles from Rust programs, but profiling asynchronous programs
DevOps Fest 2019. Сергей Марченко. Terraform: a novel about modules, provider...DevOps_Fest
В Dev-Pro DevOps-специалисты работают с Terraform в рамках Azure. Команда работает с множеством окружений и ресурсов, среди которых есть AKS (Kubernetes). Сергей поделится опытом успешного написания модулей и провайдеров для Terraform.
PuppetDB: Sneaking Clojure into Operationsgrim_radical
The document provides an overview of PuppetDB, which is a system for storing and querying data about infrastructure as code and system configurations. Some key points:
- PuppetDB stores immutable data about systems and allows querying of this data to enable higher-level infrastructure operations.
- It uses techniques like command query responsibility separation (CQRS) to separate write and read pipelines for better performance and reliability.
- The data is stored in a relational database for efficient querying, and queries are expressed in an abstract syntax tree (AST)-based language.
- The system is designed for speed, reliability, and ease of deployment in operations. It leverages techniques from Clojure and the JVM.
15th Athens Big Data Meetup - 1st Talk - Running Spark On MesosAthens Big Data
Title: Running Spark On Mesos
Speaker: Mr. Chris Sidiropoulos (https://linkedin.com/in/chris-sidiropoulos-2a6b156a//)
Date: Tuesday, November 27, 2018
Event: https://meetup.com/Athens-Big-Data/events/256098657/
A comprehensive walkthrough of how to manage infrastructure-as-code using Terraform. This presentation includes an introduction to Terraform, a discussion of how to manage Terraform state, how to use Terraform modules, an overview of best practices (e.g. isolation, versioning, loops, if-statements), and a list of gotchas to look out for.
For a written and more in-depth version of this presentation, check out the "Comprehensive Guide to Terraform" blog post series: https://blog.gruntwork.io/a-comprehensive-guide-to-terraform-b3d32832baca
Ansible: How to Get More Sleep and Require Less CoffeeSarah Z
Why you need automation, configuration management and remote execution in your life. An intro to Ansible and how it can make your life in Ops infinitely easier.
Terraform modules provide reusable, composable infrastructure components. The document discusses restructuring infrastructure code into modules to make it more reusable, testable, and maintainable. Key points include:
- Modules should be structured in a three-tier hierarchy from primitive resources to generic services to specific environments.
- Testing modules individually increases confidence in changes.
- Storing module code and versions in Git provides versioning and collaboration.
- Remote state allows infrastructure to be shared between modules and deployments.
IaC and Immutable Infrastructure with Terraform, Сергей МарченкоSigma Software
1. The document discusses immutable infrastructure using Terraform, including defining immutable principles as not installing new software, updating servers, changing configurations, or updating code, but instead replacing infrastructure by building new images.
2. It promotes Terraform for implementing immutable infrastructure due to features like being declarative, having a state file and simple configuration language, and enabling reusable modules.
3. The document emphasizes testing infrastructure as code using tools like Terratest to test from top to bottom and prevent releasing without testing.
The document discusses strategies for making applications on Amazon EC2 more resilient and fault tolerant. Some key points include having as few machines as possible contain application state, testing state restores, treating stateless servers as disposable, using distributed datastores rather than single large databases, and using security groups to define server roles and access restrictions.
When a Sassquatch and a Board get together (or how to use Grunt to chew Sass)Ricardo Castelhano
This document discusses using Grunt and SASS together. It begins by introducing Grunt as a JavaScript task runner that can automate tasks like minification, compilation, testing and more. It then explains how to set up a Grunt project by installing Grunt CLI, creating a package.json, Gruntfile.js, and installing Grunt and plugins like SASS and Watch. The document next introduces SASS, noting how it adds features to CSS like variables, nesting, mixins and more. It then demonstrates various SASS features and provides a demo repository link.
Similar to Terraform: начинайте использовать, если еще не. (20)
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. Platform Software Engineer
DevOps coach
LinkedIn | Technical Blog
Сергей Василенко
Какие задачи решает Terraform
Как Terraform это делает
Terraform demo
Где и как учить Terraform дальше
Между блоками будут короткие QA сессии
План вебинара
4. 💰 Время жизни у разных окружений – разное
⏱ На проекте (обычно) больше, чем одно окружение: dev, staging, production…
💰 Разные окружения отличаются по конфигурации ресурсов (CPU, RAM, Storage)
Инфраструктура
5. 😫 Количество функциональных элементов большое, ими нужно управлять
💰 Время жизни у разных окружений – разное
⏱ На проекте (обычно) больше, чем одно окружение: dev, staging, production…
💰 Разные окружения отличаются по конфигурации ресурсов (CPU, RAM, Storage)
😫 Разные окружения не должны отличаться по функциональным
элементам
Инфраструктура
6. Вспомните:
- Сколько ресурсов вам пришлось настроить для запуска приложения?
- Сколько времени вы потратили на это?
- Было ли ощущение “мы что-то забыли” в процессе?
А вы могли бы без ошибок повторить эту настройку?
А если я попрошу вас это сделать несколько раз?
Инфраструктура
7. Инфраструктура — модели управления
Mutable Immutable
Изменение №1
Изменение №2
Изменение №3
Изменение №4
Изменение №5
Состояние №1
Состояние №2
Состояние №3
Изменение №6
8. Императивный стиль Декларативный стиль
Описание действий, которые приводят к
конечному результату:
- Действие "А"
- Действие "Б"
- Действие "В"
...
...
... Шаг за шагом
Описание конечного результата:
- Параметр "А" = значение X
- Параметр "Б" = значение Y
- Параметр "В" = значение Z
...
...
... Желаемое состояние конфигурации
Инфраструктура как Код (IaC)
9. Императивная модель Декларативная модель
$ aws ec2 run-instances
--image-id "ami-03d315ad33b9d49c4"
--count 1 --instance-type t3.nano
resource "aws_instance" "example" {
count = 1
ami ="ami-03d315ad33b9d49c4"
instance_type = "t3.nano"
}
$ aws ec2 run-instances
--image-id "ami-03d315ad33b9d49c4"
--count 2 --instance-type t3.nano
resource "aws_instance" "example" {
count = 2
ami ="ami-03d315ad33b9d49c4"
instance_type = "t3.nano"
}
Инфраструктура как Код (IaC)
11. Terraform: как устроен и как работает
Plugins Upstream API’s
Интересно узнать больше? Начинай тут — “How Terraform Works”
12. Terraform: как устроен и как работает
Plugins Upstream API’s
Интересно узнать больше? Начинай тут — “How Terraform Works”
CLI
Config
State
Providers
13. Terraform: как устроен и как работает
Plugins Upstream API’s
Интересно узнать больше? Начинай тут — “How Terraform Works”
CLI
Config
State
Providers
Diff
Apply
Refresh
Create
Read
Update
Delete
HTTPS
19. Почему стоит использовать Terraform
🚀 Скорость и (условная) простота эксплуатации
📄 Стандартизация конфигурации окружений
👷🏻♀ Минимизация рисков — человеческих ошибок
⚙ Интеграция с инструментами развертывания и прочей автоматизацией
20. Курсы
Портал HashiCorp Learn:
- Write Terraform Configuration
- Reuse Configuration with Modules
- Provision Infrastructure Deployed with Terraform
- Manage Terraform State
- Study Guide - Terraform Associate Certification
Вдохновляющие видео на канале HashiCorp YouTube
Практика, практика, практика!
Где и как учиться дальше