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張 旭

Active Record Migrations - Ruby on Rails Guides - 0 views

guides.rubyonrails.org/active_record_migrations.html

ruby rails database migration

shared by 張 旭 on 12 Apr 16 - No Cached
  • each migration as being a new 'version' of the database.
  • A schema starts off with nothing in it, and each migration modifies it to add or remove tables, columns, or entries
  • Active Record will also update your db/schema.rb file to match the up-to-date structure of your database.
  • ...14 more annotations...
  • The timestamps macro adds two columns, created_at and updated_at.
  • A primary key column called id will also be added implicitly, as it's the default primary key for all Active Record models
  • On databases that support transactions with statements that change the schema, migrations are wrapped in a transaction
  • If the database does not support this then when a migration fails the parts of it that succeeded will not be rolled back. You will have to rollback the changes that were made by hand.
  • If your adapter supports DDL transactions you can use disable_ddl_transaction! to disable them for a single migration
  • reversible
  • AddXXXToYYY
  • RemoveXXXFromYYY
  • Migrations are stored as files in the db/migrate directory, one for each migration class
  • a UTC timestamp identifying the migration followed by an underscore followed by the name of the migration.
  • The name of the migration class (CamelCased version) should match the latter part of the file name
  • add_details_to_products.rb should define AddDetailsToProducts
  • create_products.rb should define class CreateProducts
  • Rails uses this timestamp to determine which migration should be run and in what order,
張 旭

javascript - How do I "think in AngularJS" if I have a jQuery background? - Stack Overflow - 0 views

stackoverflow.com/...-if-i-have-a-jquery-background

jquery javascript angular programming architecture development google angularjs web

shared by 張 旭 on 02 Oct 13 - No Cached
  • in AngularJS, we have a separate model layer that we can manage in any way we want, completely independently from the view.
  • keep your concerns separate
  • do DOM manipulation and augment your view with directives
  • ...34 more annotations...
  • DI means that you can declare components very freely and then from any other component, just ask for an instance of it and it will be granted
  • do test-driven development iteratively in AngularJS!
  • only do DOM manipulation in a directive
  • with ngClass we can dynamically update the class;
  • ngBind allows two-way data binding;
  • ngShow and ngHide programmatically show or hide an element;
  • The less DOM manipulation, the easier directives are to test, the easier they are to style, the easier they are to change in the future, and the more re-usable and distributable they are.
  • still wrong.
  • Before doing DOM manipulation anywhere in your application, ask yourself if you really need to.
  • a few things wrong with this
  • jQuery was never necessary
  • use angular.element and our component will still work when dropped into a project that doesn't have jQuery.
  • just use angular.element
  • the element that is passed to the link function would already be a jQuery element!
  • directives aren't just collections of jQuery-like functions
  • Directives are actually extensions of HTML
  • If HTML doesn't do something you need it to do, you write a directive to do it for you, and then use it just as if it was part of HTML.
  • think how the team would accomplish it to fit right in with ngClick, ngClass, et al.
  • Don't even use jQuery. Don't even include it.
  • ry to think about how to do it within the confines the AngularJS.
  • In jQuery, selectors are used to find DOM elements and then bind/register event handlers to them.
  • Views are (declarative) HTML that contain AngularJS directives
  • Directives set up the event handlers behind the scenes for us and give us dynamic databinding.
  • Views are tied to models (via scopes). Views are a projection of the model
  • In AngularJS, think about models, rather than jQuery-selected DOM elements that hold your data.
  • AngularJS uses controllers and directives (each of which can have their own controller, and/or compile and linking functions) to remove behavior from the view/structure (HTML). Angular also has services and filters to help separate/organize your application.
  • Think about your models
  • Think about how you want to present your models -- your views.
  • using the necessary directives to get dynamic databinding.
  • Attach a controller to each view (using ng-view and routing, or ng-controller)
  • Make controllers as thin as possible.
  • You can do a lot with jQuery without knowing about how JavaScript prototypal inheritance works.
  • jQuery is a library
  • AngularJS is a beautiful client-side framework
張 旭

Home · sysown/proxysql Wiki - 0 views

github.com/wiki

mysql database cluster mariadb proxy

shared by 張 旭 on 19 Nov 18 - No Cached
  • bear in mind that the best way to configure ProxySQL is through its admin interface.
  • llow you to control the list of the backend servers, how traffic is routed to them, and other important settings (such as caching, access control, etc)
  • Once you've made modifications to the in-memory data structure, you must load the new configuration to the runtime, or persist the new settings to disk
  • ...4 more annotations...
  • mysql_variables: contains global variables that control the functionality for handling the incoming MySQL traffic.
  • mysql_users: contains rows for the mysql_users table from the admin interface. Basically, these define the users which can connect to the proxy, and the users with which the proxy can connect to the backend servers.
  • mysql_servers: contains rows for the mysql_servers table from the admin interface. Basically, these define the backend servers towards which the incoming MySQL traffic is routed.
  • mysql_query_rules: contains rows for the mysql_query_rules table from the admin interface. Basically, these define the rules used to classify and route the incoming MySQL traffic, according to various criteria (patterns matched, user used to run the query, etc.).
張 旭

pre-commit - 0 views

pre-commit.com

programming code development

shared by 張 旭 on 21 Dec 18 - No Cached
  • a multi-language package manager for pre-commit hooks
  • pre-commit is specifically designed to not require root access
  • We copied and pasted unwieldy bash scripts from project to project and had to manually change the hooks to work for different project structures.
  • ...3 more annotations...
  • adding pre-commit plugins to your project is done with the .pre-commit-config.yaml configuration file.
  • The pre-commit config file describes what repositories and hooks are installed.
  • This configuration says to download the pre-commit-hooks project and run its trailing-whitespace hook
  • 張 旭 on 21 Dec 18
     
    "a multi-language package manager for pre-commit hooks"
張 旭

A Clear, Concise & Comfy Code Review Checklist - DEV Community - 0 views

dev.to/...code-review-checklist-14ke

programming code development

shared by 張 旭 on 29 Dec 18 - No Cached
  • 2 blocks doing similar things might be allowable, but 3 or more is a definitive red cross from me!
  • This would ultimately be integrated into your CI/CD pipelines running on each build/commit/deploy too; stopping any rogue commits getting in.
  • not to say that every code block that is duplicated needs to be refactored
  • ...13 more annotations...
  • Refactoring is a cyclical process
  • Before accessing variables within objects and collections make sure they are there! PLEASE!
  • If that variable is a constant or won't be changed then use the Const keyword in applicable languages and the CAPITALISATION convention to let users aware of your decisions about them.
  • The name of a method is more important than we give it credit for, when a method changes so should its name.
  • Make sure you are returning the right thing, trying to make it as generic as possible.
  • Void should do something, not change something!
  • Private vs Public, this is a big topic
  • keeping an eye of the access level of a method can stop issues further down the line
  • Gherkin is a Business Readable, Domain Specific Language created especially for behavior descriptions.
  • specify the 3 main points of a test, including what you expect to happen using the following keywords GIVEN,  WHEN / AND , THEN.
  • look at how the code is structured, make sure methods aren't too long, don't have too many branches, and that for and if statements could be simplified.
  • Use your initiative and discuss if a rewrite would benefit maintainability for the future.
  • it's unnecessary to leave commented code when working in and around areas with them.
張 旭

The Caddyfile Syntax - 0 views

caddyserver.com/caddyfile

caddy proxy HA

shared by 張 旭 on 12 Sep 18 - No Cached
  • A Caddyfile can be used to configure any Caddy server type: HTTP, DNS, etc.
  • The Caddyfile is plain Unicode text encoded with UTF-8.
  • lowercase and uppercase characters are different.
  • ...17 more annotations...
  • A token that starts with quotes " is read literally (including whitespace) until the next instance of quotes " that is not escaped.
  • Only quotes are escapable.
  • Blank, unquoted lines are allowed and ignored.
  • Tokens are then evaluated by the parser for structure.
  • A Caddyfile has no global scope.
  • A label is a string identifier, and a definition is a body (one or more lines) of tokens grouped together in a block
  • a Caddyfile with more than one entry must enclose each definition in curly braces { }.
  • The first line of a Caddyfile is always a label line.
  • If many labels are to head a block, the labels may be suffixed with a comma.
  • as long as the last label of the line has a comma if the next line is to continue the list of labels
  • Commas are not acceptable delimiters for arguments
  • Arguments are delimited solely by same-line whitespace
  • Subdirectives cannot open new blocks.
  • nested directive blocks are not supported
  • Any token (label, directive, argument, etc.) may contain or consist solely of an environment variable
  • Where an import line is, that line will be replaced with the contents of the imported file, unmodified.
  • define snippets to be reused later in your Caddyfile by defining a block with a single-token label surrounded by parentheses
張 旭

Using Ansible and Ansible Tower with shared roles - 2 views

www.ansible.com/...nsible-tower-with-shared-roles

ansible devops architecture

shared by 張 旭 on 03 Oct 19 - No Cached
  • clearly defined roles for dedicated tasks
  • a predefined structure of folders and files to hold your automation code.
  • Roles can be part of your project repository.
  • ...8 more annotations...
  • a better way is to keep a role in its own repository.
  • to be available to a playbook, the role still needs to be included.
  • The best way to make shared roles available to your playbooks is to use a function built into Ansible itself: by using the command ansible-galaxy
  • ansible galaxy can read a file specifying which external roles need to be imported for a successful Ansible run: requirements.yml
  • requirements.yml ensures that the used role can be pinned to a certain release tag value, commit hash, or branch name.
  • Each time Ansible Tower checks out a project it looks for a roles/requirements.yml. If such a file is present, a new version of each listed role is copied to the local checkout of the project and thus available to the relevant playbooks.
  • stick to the directory name roles, sitting in the root of your project directory.
  • have one requirements.yml only, and keep it at roles/requirements.yml
  • 張 旭 on 03 Oct 19
     
    "clearly defined roles for dedicated tasks"
張 旭

Understanding Nginx Server and Location Block Selection Algorithms | DigitalOcean - 0 views

www.digitalocean.com/...ion-block-selection-algorithms

web server nginx config

shared by 張 旭 on 03 Feb 20 - No Cached
  • A server block is a subset of Nginx’s configuration that defines a virtual server used to handle requests of a defined type. Administrators often configure multiple server blocks and decide which block should handle which connection based on the requested domain name, port, and IP address.
  • A location block lives within a server block and is used to define how Nginx should handle requests for different resources and URIs for the parent server. The URI space can be subdivided in whatever way the administrator likes using these blocks. It is an extremely flexible model.
  • Nginx logically divides the configurations meant to serve different content into blocks, which live in a hierarchical structure. Each time a client request is made, Nginx begins a process of determining which configuration blocks should be used to handle the request.
  • ...37 more annotations...
  • Nginx is one of the most popular web servers in the world. It can successfully handle high loads with many concurrent client connections, and can easily function as a web server, a mail server, or a reverse proxy server.
  • The main server block directives that Nginx is concerned with during this process are the listen directive, and the server_name directive.
  • The listen directive typically defines which IP address and port that the server block will respond to.
  • 0.0.0.0:8080 if Nginx is being run by a normal, non-root user
  • Nginx translates all “incomplete” listen directives by substituting missing values with their default values so that each block can be evaluated by its IP address and port.
  • In any case, the port must be matched exactly.
  • If there are multiple server blocks with the same level of specificity matching, Nginx then begins to evaluate the server_name directive of each server block.
  • Nginx will only evaluate the server_name directive when it needs to distinguish between server blocks that match to the same level of specificity in the listen directive.
  • Nginx checks the request’s “Host” header. This value holds the domain or IP address that the client was actually trying to reach.
  • Nginx will first try to find a server block with a server_name that matches the value in the “Host” header of the request exactly.
  • If no exact match is found, Nginx will then try to find a server block with a server_name that matches using a leading wildcard (indicated by a * at the beginning of the name in the config).
  • If no match is found using a leading wildcard, Nginx then looks for a server block with a server_name that matches using a trailing wildcard (indicated by a server name ending with a * in the config)
  • If no match is found using a trailing wildcard, Nginx then evaluates server blocks that define the server_name using regular expressions (indicated by a ~ before the name).
  • If no regular expression match is found, Nginx then selects the default server block for that IP address and port.
  • There can be only one default_server declaration per each IP address/port combination.
  • Location blocks live within server blocks (or other location blocks) and are used to decide how to process the request URI (the part of the request that comes after the domain name or IP address/port).
  • If no modifiers are present, the location is interpreted as a prefix match.
  • =: If an equal sign is used, this block will be considered a match if the request URI exactly matches the location given.
  • ~: If a tilde modifier is present, this location will be interpreted as a case-sensitive regular expression match.
  • ~*: If a tilde and asterisk modifier is used, the location block will be interpreted as a case-insensitive regular expression match.
  • ^~: If a carat and tilde modifier is present, and if this block is selected as the best non-regular expression match, regular expression matching will not take place.
  • Keep in mind that if this block is selected and the request is fulfilled using an index page, an internal redirect will take place to another location that will be the actual handler of the request
  • Keeping in mind the types of location declarations we described above, Nginx evaluates the possible location contexts by comparing the request URI to each of the locations.
  • Nginx begins by checking all prefix-based location matches (all location types not involving a regular expression).
  • First, Nginx looks for an exact match.
  • If no exact (with the = modifier) location block matches are found, Nginx then moves on to evaluating non-exact prefixes.
  • After the longest matching prefix location is determined and stored, Nginx moves on to evaluating the regular expression locations (both case sensitive and insensitive).
  • by default, Nginx will serve regular expression matches in preference to prefix matches.
  • regular expression matches within the longest prefix match will “jump the line” when Nginx evaluates regex locations.
  • The exceptions to the “only one location block” rule may have implications on how the request is actually served and may not align with the expectations you had when designing your location blocks.
  • The index directive always leads to an internal redirect if it is used to handle the request.
  • In the case above, if you really need the execution to stay in the first block, you will have to come up with a different method of satisfying the request to the directory.
  • one way of preventing an index from switching contexts, but it’s probably not useful for most configurations
  • the try_files directive. This directive tells Nginx to check for the existence of a named set of files or directories.
  • the rewrite directive. When using the last parameter with the rewrite directive, or when using no parameter at all, Nginx will search for a new matching location based on the results of the rewrite.
  • The error_page directive can lead to an internal redirect similar to that created by try_files.
  • when certain status codes are encountered.
張 旭

bbatsov/rails-style-guide: A community-driven Ruby on Rails 4 style guide - 0 views

github.com/...rails-style-guide

rails programming code style

shared by 張 旭 on 07 May 17 - No Cached
  • custom initialization code in config/initializers. The code in initializers executes on application startup
  • Keep initialization code for each gem in a separate file with the same name as the gem
  • Mark additional assets for precompilation
  • ...90 more annotations...
  • config/environments/production.rb
  • Create an additional staging environment that closely resembles the production one
  • Keep any additional configuration in YAML files under the config/ directory
  • Rails::Application.config_for(:yaml_file)
  • Use nested routes to express better the relationship between ActiveRecord models
  • nest routes more than 1 level deep then use the shallow: true option
  • namespaced routes to group related actions
  • Don't use match to define any routes unless there is need to map multiple request types among [:get, :post, :patch, :put, :delete] to a single action using :via option.
  • Keep the controllers skinny
  • all the business logic should naturally reside in the model
  • Share no more than two instance variables between a controller and a view.
  • using a template
  • Prefer render plain: over render text
  • Prefer corresponding symbols to numeric HTTP status codes
  • without abbreviations
  • Keep your models for business logic and data-persistence only
  • Avoid altering ActiveRecord defaults (table names, primary key, etc)
  • Group macro-style methods (has_many, validates, etc) in the beginning of the class definition
  • Prefer has_many :through to has_and_belongs_to_many
  • self[:attribute]
  • self[:attribute] = value
  • validates
  • Keep custom validators under app/validators
  • Consider extracting custom validators to a shared gem
  • preferable to make a class method instead which serves the same purpose of the named scope
  • returns an ActiveRecord::Relation object
  • .update_attributes
  • Override the to_param method of the model
  • Use the friendly_id gem. It allows creation of human-readable URLs by using some descriptive attribute of the model instead of its id
  • find_each to iterate over a collection of AR objects
  • .find_each
  • .find_each
  • Looping through a collection of records from the database (using the all method, for example) is very inefficient since it will try to instantiate all the objects at once
  • always call before_destroy callbacks that perform validation with prepend: true
  • Define the dependent option to the has_many and has_one associations
  • always use the exception raising bang! method or handle the method return value.
  • When persisting AR objects
  • Avoid string interpolation in queries
  • param will be properly escaped
  • Consider using named placeholders instead of positional placeholders
  • use of find over where when you need to retrieve a single record by id
  • use of find_by over where and find_by_attribute
  • use of where.not over SQL
  • use heredocs with squish
  • Keep the schema.rb (or structure.sql) under version control.
  • Use rake db:schema:load instead of rake db:migrate to initialize an empty database
  • Enforce default values in the migrations themselves instead of in the application layer
  • change_column_default
  • imposing data integrity from the Rails app is impossible
  • use the change method instead of up and down methods.
  • constructive migrations
  • use models in migrations, make sure you define them so that you don't end up with broken migrations in the future
  • Don't use non-reversible migration commands in the change method.
  • In this case, block will be used by create_table in rollback
  • Never call the model layer directly from a view
  • Never make complex formatting in the views, export the formatting to a method in the view helper or the model.
  • When the labels of an ActiveRecord model need to be translated, use the activerecord scope
  • Separate the texts used in the views from translations of ActiveRecord attributes
  • Place the locale files for the models in a folder locales/models
  • the texts used in the views in folder locales/views
  • config/application.rb config.i18n.load_path += Dir[Rails.root.join('config', 'locales', '**', '*.{rb,yml}')]
  • I18n.t
  • I18n.l
  • Use "lazy" lookup for the texts used in views.
  • Use the dot-separated keys in the controllers and models
  • Reserve app/assets for custom stylesheets, javascripts, or images
  • Third party code such as jQuery or bootstrap should be placed in vendor/assets
  • Provide both HTML and plain-text view templates
  • config.action_mailer.raise_delivery_errors = true
  • Use a local SMTP server like Mailcatcher in the development environment
  • Provide default settings for the host name
  • The _url methods include the host name and the _path methods don't
  • _url
  • Format the from and to addresses properly
  • default from:
  • sending html emails all styles should be inline
  • Sending emails while generating page response should be avoided. It causes delays in loading of the page and request can timeout if multiple email are sent.
  • .start_with?
  • .end_with?
  • &.
  • Config your timezone accordingly in application.rb
  • config.active_record.default_timezone = :local
  • it can be only :utc or :local
  • Don't use Time.parse
  • Time.zone.parse
  • Don't use Time.now
  • Time.zone.now
  • Put gems used only for development or testing in the appropriate group in the Gemfile
  • Add all OS X specific gems to a darwin group in the Gemfile, and all Linux specific gems to a linux group
  • Do not remove the Gemfile.lock from version control.
張 旭

MongoDB Performance Tuning: Everything You Need to Know - Stackify - 0 views

stackify.com/mongodb-performance-tuning

database mongodb

shared by 張 旭 on 15 Apr 21 - No Cached
  • db.serverStatus().globalLock
  • db.serverStatus().locks
  • globalLock.currentQueue.total: This number can indicate a possible concurrency issue if it’s consistently high. This can happen if a lot of requests are waiting for a lock to be released.
  • ...35 more annotations...
  • globalLock.totalTime: If this is higher than the total database uptime, the database has been in a lock state for too long.
  • Unlike relational databases such as MySQL or PostgreSQL, MongoDB uses JSON-like documents for storing data.
  • Databases operate in an environment that consists of numerous reads, writes, and updates.
  • When a lock occurs, no other operation can read or modify the data until the operation that initiated the lock is finished.
  • locks.deadlockCount: Number of times the lock acquisitions have encountered deadlocks
  • Is the database frequently locking from queries? This might indicate issues with the schema design, query structure, or system architecture.
  • For version 3.2 on, WiredTiger is the default.
  • MMAPv1 locks whole collections, not individual documents.
  • WiredTiger performs locking at the document level.
  • When the MMAPv1 storage engine is in use, MongoDB will use memory-mapped files to store data.
  • All available memory will be allocated for this usage if the data set is large enough.
  • db.serverStatus().mem
  • mem.resident: Roughly equivalent to the amount of RAM in megabytes that the database process uses
  • If mem.resident exceeds the value of system memory and there’s a large amount of unmapped data on disk, we’ve most likely exceeded system capacity.
  • If the value of mem.mapped is greater than the amount of system memory, some operations will experience page faults.
  • The WiredTiger storage engine is a significant improvement over MMAPv1 in performance and concurrency.
  • By default, MongoDB will reserve 50 percent of the available memory for the WiredTiger data cache.
  • wiredTiger.cache.bytes currently in the cache – This is the size of the data currently in the cache.
  • wiredTiger.cache.tracked dirty bytes in the cache – This is the size of the dirty data in the cache.
  • we can look at the wiredTiger.cache.bytes read into cache value for read-heavy applications. If this value is consistently high, increasing the cache size may improve overall read performance.
  • check whether the application is read-heavy. If it is, increase the size of the replica set and distribute the read operations to secondary members of the set.
  • write-heavy, use sharding within a sharded cluster to distribute the load.
  • Replication is the propagation of data from one node to another
  • Replication sets handle this replication.
  • Sometimes, data isn’t replicated as quickly as we’d like.
  • a particularly thorny problem if the lag between a primary and secondary node is high and the secondary becomes the primary
  • use the db.printSlaveReplicationInfo() or the rs.printSlaveReplicationInfo() command to see the status of a replica set from the perspective of the secondary member of the set.
  • shows how far behind the secondary members are from the primary. This number should be as low as possible.
  • monitor this metric closely.
  • watch for any spikes in replication delay.
  • Always investigate these issues to understand the reasons for the lag.
  • One replica set is primary. All others are secondary.
  • it’s not normal for nodes to change back and forth between primary and secondary.
  • use the profiler to gain a deeper understanding of the database’s behavior.
  • Enabling the profiler can affect system performance, due to the additional activity.
  • 張 旭 on 15 Apr 21
     
    "globalLock.currentQueue.total: This number can indicate a possible concurrency issue if it's consistently high. This can happen if a lot of requests are waiting for a lock to be released."
張 旭

Introduction to MongoDB - MongoDB Manual - 0 views

docs.mongodb.com/...introduction

database mongodb

shared by 張 旭 on 20 Apr 21 - No Cached
  • MongoDB is a document database designed for ease of development and scaling
  • MongoDB offers both a Community and an Enterprise version
  • A record in MongoDB is a document, which is a data structure composed of field and value pairs.
  • ...12 more annotations...
  • MongoDB documents are similar to JSON objects.
  • The values of fields may include other documents, arrays, and arrays of documents.
  • reduce need for expensive joins
  • MongoDB stores documents in collections.
  • Collections are analogous to tables in relational databases.
  • Read-only Views
  • Indexes support faster queries and can include keys from embedded documents and arrays.
  • MongoDB's replication facility, called replica set
  • A replica set is a group of MongoDB servers that maintain the same data set, providing redundancy and increasing data availability.
  • Sharding distributes data across a cluster of machines.
  • MongoDB supports creating zones of data based on the shard key.
  • MongoDB provides pluggable storage engine API
張 旭

Logstash Alternatives: Pros & Cons of 5 Log Shippers [2019] - Sematext - 0 views

sematext.com/...logstash-alternatives

log monitor system logstash fluentd

shared by 張 旭 on 05 Nov 19 - No Cached
  • In this case, Elasticsearch. And because Elasticsearch can be down or struggling, or the network can be down, the shipper would ideally be able to buffer and retry
  • Logstash is typically used for collecting, parsing, and storing logs for future use as part of log management.
  • Logstash’s biggest con or “Achille’s heel” has always been performance and resource consumption (the default heap size is 1GB).
  • ...37 more annotations...
  • This can be a problem for high traffic deployments, when Logstash servers would need to be comparable with the Elasticsearch ones.
  • Filebeat was made to be that lightweight log shipper that pushes to Logstash or Elasticsearch.
  • differences between Logstash and Filebeat are that Logstash has more functionality, while Filebeat takes less resources.
  • Filebeat is just a tiny binary with no dependencies.
  • For example, how aggressive it should be in searching for new files to tail and when to close file handles when a file didn’t get changes for a while.
  • For example, the apache module will point Filebeat to default access.log and error.log paths
  • Filebeat’s scope is very limited,
  • Initially it could only send logs to Logstash and Elasticsearch, but now it can send to Kafka and Redis, and in 5.x it also gains filtering capabilities.
  • Filebeat can parse JSON
  • you can push directly from Filebeat to Elasticsearch, and have Elasticsearch do both parsing and storing.
  • You shouldn’t need a buffer when tailing files because, just as Logstash, Filebeat remembers where it left off
  • For larger deployments, you’d typically use Kafka as a queue instead, because Filebeat can talk to Kafka as well
  • The default syslog daemon on most Linux distros, rsyslog can do so much more than just picking logs from the syslog socket and writing to /var/log/messages.
  • It can tail files, parse them, buffer (on disk and in memory) and ship to a number of destinations, including Elasticsearch.
  • rsyslog is the fastest shipper
  • Its grammar-based parsing module (mmnormalize) works at constant speed no matter the number of rules (we tested this claim).
  • use it as a simple router/shipper, any decent machine will be limited by network bandwidth
  • It’s also one of the lightest parsers you can find, depending on the configured memory buffers.
  • rsyslog requires more work to get the configuration right
  • the main difference between Logstash and rsyslog is that Logstash is easier to use while rsyslog lighter.
  • rsyslog fits well in scenarios where you either need something very light yet capable (an appliance, a small VM, collecting syslog from within a Docker container).
  • rsyslog also works well when you need that ultimate performance.
  • syslog-ng as an alternative to rsyslog (though historically it was actually the other way around).
  • a modular syslog daemon, that can do much more than just syslog
  • Unlike rsyslog, it features a clear, consistent configuration format and has nice documentation.
  • Similarly to rsyslog, you’d probably want to deploy syslog-ng on boxes where resources are tight, yet you do want to perform potentially complex processing.
  • syslog-ng has an easier, more polished feel than rsyslog, but likely not that ultimate performance
  • Fluentd was built on the idea of logging in JSON wherever possible (which is a practice we totally agree with) so that log shippers down the line don’t have to guess which substring is which field of which type.
  • Fluentd plugins are in Ruby and very easy to write.
  • structured data through Fluentd, it’s not made to have the flexibility of other shippers on this list (Filebeat excluded).
  • Fluent Bit, which is to Fluentd similar to how Filebeat is for Logstash.
  • Fluentd is a good fit when you have diverse or exotic sources and destinations for your logs, because of the number of plugins.
  • Splunk isn’t a log shipper, it’s a commercial logging solution
  • Graylog is another complete logging solution, an open-source alternative to Splunk.
  • everything goes through graylog-server, from authentication to queries.
  • Graylog is nice because you have a complete logging solution, but it’s going to be harder to customize than an ELK stack.
  • it depends
張 旭

HowTo/LDAP - FreeIPA - 0 views

www.freeipa.org/LDAP

ldap authorization authentication auth security

shared by 張 旭 on 03 Dec 19 - No Cached
  • The basedn in an IPA installation consists of a set of domain components (dc) for the initial domain that IPA was configured with.
  • You will only ever have one basedn, the one defined during installation.
  • find your basedn, and other interesting things, in /etc/ipa/default.conf
  • ...8 more annotations...
  • IPA uses a flat structure, storing like objects in what we call containers.
  • Users: cn=users,cn=accounts,$SUFFIX Groups: cn=groups,cn=accounts,$SUFFIX
  • Do not use the Directory Manager account to authenticate remote services to the IPA LDAP server. Use a system account
  • The reason to use an account like this rather than creating a normal user account in IPA and using that is that the system account exists only for binding to LDAP. It is not a real POSIX user, can't log into any systems and doesn't own any files.
  • This use also has no special rights and is unable to write any data in the IPA LDAP server, only read.
  • When possible, configure your LDAP client to communicate over SSL/TLS.
  • The IPA CA certificate can be found in /etc/ipa/ca.crt
  • /etc/openldap/ldap.conf
張 旭

How to Benchmark Performance of MySQL & MariaDB Using SysBench | Severalnines - 1 views

severalnines.com/...e-mysql-mariadb-using-sysbench

database mysql performance

shared by 張 旭 on 22 Oct 20 - No Cached
  • SysBench is a C binary which uses LUA scripts to execute benchmarks
  • support for parallelization in the LUA scripts, multiple queries can be executed in parallel
  • by default, benchmarks which cover most of the cases - OLTP workloads, read-only or read-write, primary key lookups and primary key updates.
  • ...21 more annotations...
  • SysBench is not a tool which you can use to tune configurations of your MySQL servers (unless you prepared LUA scripts with custom workload or your workload happen to be very similar to the benchmark workloads that SysBench comes with)
  • it is great for is to compare performance of different hardware.
  • Every new server acquired should go through a warm-up period during which you will stress it to pinpoint potential hardware defects
  • by executing OLTP workload which overloads the server, or you can also use dedicated benchmarks for CPU, disk and memory.
  • bulk_insert.lua. This test can be used to benchmark the ability of MySQL to perform multi-row inserts.
  • All oltp_* scripts share a common table structure. First two of them (oltp_delete.lua and oltp_insert.lua) execute single DELETE and INSERT statements.
  • oltp_point_select, oltp_update_index and oltp_update_non_index. These will execute a subset of queries - primary key-based selects, index-based updates and non-index-based updates.
  • you can run different workload patterns using the same benchmark.
  • Warmup helps to identify “regular” throughput by executing benchmark for a predefined time, allowing to warm up the cache, buffer pools etc.
  • By default SysBench will attempt to execute queries as fast as possible. To simulate slower traffic this option may be used. You can define here how many transactions should be executed per second.
  • SysBench gives you ability to generate different types of data distribution.
  • decide if SysBench should use prepared statements (as long as they are available in the given datastore - for MySQL it means PS will be enabled by default) or not.
  • sysbench ./sysbench/src/lua/oltp_read_write.lua  help
  • By default, SysBench will attempt to execute queries in explicit transaction. This way the dataset will stay consistent and not affected: SysBench will, for example, execute INSERT and DELETE on the same row, making sure the data set will not grow (impacting your ability to reproduce results).
  • specify error codes from MySQL which SysBench should ignore (and not kill the connection).
  • the two most popular benchmarks - OLTP read only and OLTP read/write.
  • 1 million rows will result in ~240 MB of data. Ten tables, 1000 000 rows each equals to 2.4GB
  • by default, SysBench looks for ‘sbtest’ schema which has to exist before you prepare the data set. You may have to create it manually.
  • pass ‘--histogram’ argument to SysBench
  • ~48GB of data (20 tables, 10 000 000 rows each).
  • if you don’t understand why the performance was like it was, you may draw incorrect conclusions out of the benchmarks.
張 旭

mvn clean install - a short guide to Maven - 0 views

www.marcobehler.com/...install-a-short-guide-to-maven

programming java

shared by 張 旭 on 12 Aug 20 - No Cached
  • An equivalent in other languages would be Javascript’s npm, Ruby’s gems or PHP’s composer.
  • Maven expects a certain directory structure for your Java source code to live in and when you later do a mvn clean install , the whole compilation and packaging work will be done for you.
  • any directory that contains a pom.xml file is also a valid Maven project.
  • ...17 more annotations...
  • A pom.xml file contains everything needed to describe your Java project.
  • Java source code is to be meant to live in the "/src/main/java" folder
  • Maven will put compiled Java classes into the "target/classes" folder
  • Maven will also build a .jar or .war file, depending on your project, that lives in the "target" folder.
  • Maven has the concept of a build lifecycle, which is made up of different phases.
  • clean is not part of Maven’s default lifecycle, you end up with commands like mvn clean install or mvn clean package. Install or package will trigger all preceding phases, but you need to specify clean in addition.
  • Maven will always download your project dependencies into your local maven repository first and then reference them for your build.
  • local repositories (in your user’s home directory: ~/.m2/)
  • clean: deletes the /target folder.
  • mvn clean package
  • mvn clean install
  • package: Converts your .java source code into a .jar/.war file and puts it into the /target folder.
  • install: First, it does a package(!). Then it takes that .jar/.war file and puts it into your local Maven repository, which lives in ~/.m2/repository.
  • calling 'mvn install' would be enough if Maven was smart enough to do reliable, incremental builds.
  • figuring out what Java source files/modules changed and only compile those.
  • developers got it ingrained to always call 'mvn clean install' (even though this increases build time a lot in bigger projects).
  • make sure that Maven always tries to download the latest snapshot dependency versions
張 旭

Helm | Values Files - 0 views

helm.sh/...values_files

helm

shared by 張 旭 on 02 Oct 21 - No Cached
  • a subchart, the values.yaml file of a parent chart
  • Individual parameters passed with --set
  • The list above is in order of specificity: values.yaml is the default, which can be overridden by a parent chart's values.yaml, which can in turn be overridden by a user-supplied values file, which can in turn be overridden by --set parameters.
  • ...4 more annotations...
  • --set has a higher precedence than the default values.yaml file
  • Values files can contain more structured content
  • If you need to delete a key from the default values, you may override the value of the key to be null, in which case Helm will remove the key from the overridden values merge.
  • Kubernetes would then fail because you can not declare more than one livenessProbe handler.
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