Skip to main content

Home/ Larvata/ Group items tagged cluster

Rss Feed Group items tagged

Filter: All | Bookmarks | Topics Simple Middle
crazylion lee

Proxmox VE - 0 views

pve.proxmox.com/Main_Page

virtual vm management

shared by crazylion lee on 04 Dec 16 - No Cached
  • crazylion lee on 04 Dec 16
     
    " Proxmox Virtual Environment is an open source server virtualization management solution based on QEMU/KVM and LXC. You can manage virtual machines, containers, highly available clusters, storage and networks with an integrated, easy-to-use web interface or via CLI. Proxmox VE code is licensed under the GNU Affero General Public License, version 3. The project is developed and maintained by Proxmox Server Solutions GmbH."
crazylion lee

Riemann - A network monitoring system - 0 views

riemann.io/index.html

monitoring dashboard sysadmin

shared by crazylion lee on 17 Apr 16 - No Cached
  • crazylion lee on 17 Apr 16
     
    "Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite. Track user activity from second to second."
張 旭

Manage swarm security with public key infrastructure (PKI) | Docker Documentation - 0 views

docs.docker.com/...pki

docker swarm cluster system security

shared by 張 旭 on 07 Sep 18 - No Cached
  • The nodes in a swarm use mutual Transport Layer Security (TLS) to authenticate, authorize, and encrypt the communications with other nodes in the swarm.
  • By default, the manager node generates a new root Certificate Authority (CA) along with a key pair, which are used to secure communications with other nodes that join the swarm.
  • The manager node also generates two tokens to use when you join additional nodes to the swarm: one worker token and one manager token.
  • ...3 more annotations...
  • Each time a new node joins the swarm, the manager issues a certificate to the node
  • By default, each node in the swarm renews its certificate every three months.
  • a cluster CA key or a manager node is compromised, you can rotate the swarm root CA so that none of the nodes trust certificates signed by the old root CA anymore.
  • 張 旭 on 07 Sep 18
     
    "The nodes in a swarm use mutual Transport Layer Security (TLS) to authenticate, authorize, and encrypt the communications with other nodes in the swarm."
張 旭

Queues - Laravel - The PHP Framework For Web Artisans - 0 views

laravel.com/queues

php programming laravel queue worker framework

shared by 張 旭 on 02 Mar 19 - No Cached
  • Laravel queues provide a unified API across a variety of different queue backends, such as Beanstalk, Amazon SQS, Redis, or even a relational database.
  • The queue configuration file is stored in config/queue.php
  • a synchronous driver that will execute jobs immediately (for local use)
  • ...56 more annotations...
  • A null queue driver is also included which discards queued jobs.
  • In your config/queue.php configuration file, there is a connections configuration option.
  • any given queue connection may have multiple "queues" which may be thought of as different stacks or piles of queued jobs.
  • each connection configuration example in the queue configuration file contains a queue attribute.
  • if you dispatch a job without explicitly defining which queue it should be dispatched to, the job will be placed on the queue that is defined in the queue attribute of the connection configuration
  • pushing jobs to multiple queues can be especially useful for applications that wish to prioritize or segment how jobs are processed
  • specify which queues it should process by priority.
  • If your Redis queue connection uses a Redis Cluster, your queue names must contain a key hash tag.
  • ensure all of the Redis keys for a given queue are placed into the same hash slot
  • all of the queueable jobs for your application are stored in the app/Jobs directory.
  • Job classes are very simple, normally containing only a handle method which is called when the job is processed by the queue.
  • we were able to pass an Eloquent model directly into the queued job's constructor. Because of the SerializesModels trait that the job is using, Eloquent models will be gracefully serialized and unserialized when the job is processing.
  • When the job is actually handled, the queue system will automatically re-retrieve the full model instance from the database.
  • The handle method is called when the job is processed by the queue
  • The arguments passed to the dispatch method will be given to the job's constructor
  • delay the execution of a queued job, you may use the delay method when dispatching a job.
  • dispatch a job immediately (synchronously), you may use the dispatchNow method.
  • When using this method, the job will not be queued and will be run immediately within the current process
  • specify a list of queued jobs that should be run in sequence.
  • Deleting jobs using the $this->delete() method will not prevent chained jobs from being processed. The chain will only stop executing if a job in the chain fails.
  • this does not push jobs to different queue "connections" as defined by your queue configuration file, but only to specific queues within a single connection.
  • To specify the queue, use the onQueue method when dispatching the job
  • To specify the connection, use the onConnection method when dispatching the job
  • defining the maximum number of attempts on the job class itself.
  • to defining how many times a job may be attempted before it fails, you may define a time at which the job should timeout.
  • using the funnel method, you may limit jobs of a given type to only be processed by one worker at a time
  • using the throttle method, you may throttle a given type of job to only run 10 times every 60 seconds.
  • If an exception is thrown while the job is being processed, the job will automatically be released back onto the queue so it may be attempted again.
  • dispatch a Closure. This is great for quick, simple tasks that need to be executed outside of the current request cycle
  • When dispatching Closures to the queue, the Closure's code contents is cryptographically signed so it can not be modified in transit.
  • Laravel includes a queue worker that will process new jobs as they are pushed onto the queue.
  • once the queue:work command has started, it will continue to run until it is manually stopped or you close your terminal
  • queue workers are long-lived processes and store the booted application state in memory.
  • they will not notice changes in your code base after they have been started.
  • during your deployment process, be sure to restart your queue workers.
  • customize your queue worker even further by only processing particular queues for a given connection
  • The --once option may be used to instruct the worker to only process a single job from the queue
  • The --stop-when-empty option may be used to instruct the worker to process all jobs and then exit gracefully.
  • Daemon queue workers do not "reboot" the framework before processing each job.
  • you should free any heavy resources after each job completes.
  • Since queue workers are long-lived processes, they will not pick up changes to your code without being restarted.
  • restart the workers during your deployment process.
  • php artisan queue:restart
  • The queue uses the cache to store restart signals
  • the queue workers will die when the queue:restart command is executed, you should be running a process manager such as Supervisor to automatically restart the queue workers.
  • each queue connection defines a retry_after option. This option specifies how many seconds the queue connection should wait before retrying a job that is being processed.
  • The --timeout option specifies how long the Laravel queue master process will wait before killing off a child queue worker that is processing a job.
  • When jobs are available on the queue, the worker will keep processing jobs with no delay in between them.
  • While sleeping, the worker will not process any new jobs - the jobs will be processed after the worker wakes up again
  • the numprocs directive will instruct Supervisor to run 8 queue:work processes and monitor all of them, automatically restarting them if they fail.
  • Laravel includes a convenient way to specify the maximum number of times a job should be attempted.
  • define a failed method directly on your job class, allowing you to perform job specific clean-up when a failure occurs.
  • a great opportunity to notify your team via email or Slack.
  • php artisan queue:retry all
  • php artisan queue:flush
  • When injecting an Eloquent model into a job, it is automatically serialized before being placed on the queue and restored when the job is processed
張 旭

redis cluster管理工具redis-trib.rb详解 | 魏子珺的博客 - 0 views

weizijun.cn/...edis-trib-rb%E8%AF%A6%E8%A7%A3

linux redis cache cluster

shared by 張 旭 on 26 Feb 18 - No Cached
  • reshard命令可以在线把集群的一些slot从集群原来slot负责节点迁移到新的节点，利用reshard可以完成集群的在线横向扩容和缩容。
張 旭

Helm | - 0 views

helm.sh/architecture

helm kubernetes chart architecture system

shared by 張 旭 on 06 Aug 19 - No Cached
  • Helm is a tool for managing Kubernetes packages called charts
  • Install and uninstall charts into an existing Kubernetes cluster
  • The chart is a bundle of information necessary to create an instance of a Kubernetes application.
  • ...12 more annotations...
  • The config contains configuration information that can be merged into a packaged chart to create a releasable object.
  • A release is a running instance of a chart, combined with a specific config.
  • The Helm Client is a command-line client for end users.
  • Interacting with the Tiller server
  • The Tiller Server is an in-cluster server that interacts with the Helm client, and interfaces with the Kubernetes API server.
  • Combining a chart and configuration to build a release
  • Installing charts into Kubernetes, and then tracking the subsequent release
  • the client is responsible for managing charts, and the server is responsible for managing releases.
  • The Helm client is written in the Go programming language, and uses the gRPC protocol suite to interact with the Tiller server.
  • The Tiller server is also written in Go. It provides a gRPC server to connect with the client, and it uses the Kubernetes client library to communicate with Kubernetes.
  • The Tiller server stores information in ConfigMaps located inside of Kubernetes.
  • Configuration files are, when possible, written in YAML.
  • 張 旭 on 06 Aug 19
     
    "Helm is a tool for managing Kubernetes packages called charts"
張 旭

Custom Resources | Kubernetes - 0 views

kubernetes.io/...custom-resources

kubernetes

shared by 張 旭 on 11 May 21 - No Cached
  • Custom resources are extensions of the Kubernetes API
  • A resource is an endpoint in the Kubernetes API that stores a collection of API objects of a certain kind
  • Custom resources can appear and disappear in a running cluster through dynamic registration
  • ...30 more annotations...
  • Once a custom resource is installed, users can create and access its objects using kubectl
  • When you combine a custom resource with a custom controller, custom resources provide a true declarative API.
  • A declarative API allows you to declare or specify the desired state of your resource and tries to keep the current state of Kubernetes objects in sync with the desired state.
  • Custom controllers can work with any kind of resource, but they are especially effective when combined with custom resources.
  • The Operator pattern combines custom resources and custom controllers.
  • the API represents a desired state, not an exact state.
  • define configuration of applications or infrastructure.
  • The main operations on the objects are CRUD-y (creating, reading, updating and deleting).
  • The client says "do this", and then gets an operation ID back, and has to check a separate Operation object to determine completion of the request.
  • The natural operations on the objects are not CRUD-y.
  • High bandwidth access (10s of requests per second sustained) needed.
  • Use a ConfigMap if any of the following apply
  • You want to put the entire config file into one key of a configMap.
  • You want to perform rolling updates via Deployment, etc., when the file is updated.
  • Use a secret for sensitive data, which is similar to a configMap but more secure.
  • You want to build new automation that watches for updates on the new object, and then CRUD other objects, or vice versa.
  • You want the object to be an abstraction over a collection of controlled resources, or a summarization of other resources.
  • CRDs are simple and can be created without any programming.
  • Aggregated APIs are subordinate API servers that sit behind the primary API server
  • CRDs allow users to create new types of resources without adding another API server
  • Defining a CRD object creates a new custom resource with a name and schema that you specify.
  • The name of a CRD object must be a valid DNS subdomain name
  • each resource in the Kubernetes API requires code that handles REST requests and manages persistent storage of objects.
  • The main API server delegates requests to you for the custom resources that you handle, making them available to all of its clients.
  • The new endpoints support CRUD basic operations via HTTP and kubectl
  • Custom resources consume storage space in the same way that ConfigMaps do.
  • Aggregated API servers may use the same storage as the main API server
  • CRDs always use the same authentication, authorization, and audit logging as the built-in resources of your API server.
  • most RBAC roles will not grant access to the new resources (except the cluster-admin role or any role created with wildcard rules).
  • CRDs and Aggregated APIs often come bundled with new role definitions for the types they add.
張 旭

MongoDB Performance - MongoDB Manual - 0 views

docs.mongodb.com/...analyzing-mongodb-performance

database mongodb performance

shared by 張 旭 on 20 Apr 21 - No Cached
  • MongoDB uses a locking system to ensure data set consistency. If certain operations are long-running or a queue forms, performance will degrade as requests and operations wait for the lock.
  • performance limitations as a result of inadequate or inappropriate indexing strategies, or as a consequence of poor schema design patterns.
  • performance issues may be temporary and related to abnormal traffic load.
  • ...9 more annotations...
  • Lock-related slowdowns can be intermittent.
  • If globalLock.currentQueue.total is consistently high, then there is a chance that a large number of requests are waiting for a lock.
  • If globalLock.totalTime is high relative to uptime, the database has existed in a lock state for a significant amount of time.
  • For write-heavy applications, deploy sharding and add one or more shards to a sharded cluster to distribute load among mongod instances.
  • Unless constrained by system-wide limits, the maximum number of incoming connections supported by MongoDB is configured with the maxIncomingConnections setting.
  • When logLevel is set to 0, MongoDB records slow operations to the diagnostic log at a rate determined by slowOpSampleRate.
  • At higher logLevel settings, all operations appear in the diagnostic log regardless of their latency with the following exception
  • Full Time Diagnostic Data Collection (FTDC) mechanism. FTDC data files are compressed, are not human-readable, and inherit the same file access permissions as the MongoDB data files.
  • mongod processes store FTDC data files in a diagnostic.data directory under the instances storage.dbPath.
  • 張 旭 on 20 Apr 21
     
    "MongoDB uses a locking system to ensure data set consistency. If certain operations are long-running or a queue forms, performance will degrade as requests and operations wait for the lock."
張 旭

Think Before you NodePort in Kubernetes - Oteemo - 0 views

oteemo.com/think-nodeport-kubernetes

kubernetes networking

shared by 張 旭 on 23 Jun 21 - No Cached
  • Two options are provided for Services intended for external use: a NodePort, or a LoadBalancer
  • no built-in cloud load balancers for Kubernetes in bare-metal environments
  • NodePort may not be your best choice.
  • ...15 more annotations...
  • NodePort, by design, bypasses almost all network security in Kubernetes.
  • NetworkPolicy resources can currently only control NodePorts by allowing or disallowing all traffic on them.
  • put a network filter in front of all the nodes
  • if a Nodeport-ranged Service is advertised to the public, it may serve as an invitation to black-hats to scan and probe
  • When Kubernetes creates a NodePort service, it allocates a port from a range specified in the flags that define your Kubernetes cluster. (By default, these are ports ranging from 30000-32767.)
  • By design, Kubernetes NodePort cannot expose standard low-numbered ports like 80 and 443, or even 8080 and 8443.
  • A port in the NodePort range can be specified manually, but this would mean the creation of a list of non-standard ports, cross-referenced with the applications they map to
  • if you want the exposed application to be highly available, everything contacting the application has to know all of your node addresses, or at least more than one.
  • non-standard ports.
  • Ingress resources use an Ingress controller (the nginx one is common but not by any means the only choice) and an external load balancer or public IP to enable path-based routing of external requests to internal Services.
  • With a single point of entry to expose and secure
  • get simpler TLS management!
  • consider putting a real load balancer in front of your NodePort Services before opening them up to the world
  • Google very recently released an alpha-stage bare-metal load balancer that, once installed in your cluster, will load-balance using BGP
  • NodePort Services are easy to create but hard to secure, hard to manage, and not especially friendly to others
張 旭

Monitor Node Health | Kubernetes - 0 views

kubernetes.io/...monitor-node-health

kubernetes monitor system

shared by 張 旭 on 21 Jul 21 - No Cached
  • Node Problem Detector is a daemon for monitoring and reporting about a node's health
  • Node Problem Detector collects information about node problems from various daemons and reports these conditions to the API server as NodeCondition and Event.
  • Node Problem Detector only supports file based kernel log. Log tools such as journald are not supported.
  • ...2 more annotations...
  • kubectl provides the most flexible management of Node Problem Detector.
  • run the Node Problem Detector in your cluster to monitor node health.
張 旭

Replication - MongoDB Manual - 0 views

docs.mongodb.com/...replication

database mongodb

shared by 張 旭 on 13 Oct 20 - No Cached
  • A replica set in MongoDB is a group of mongod processes that maintain the same data set.
  • Replica sets provide redundancy and high availability, and are the basis for all production deployments.
  • With multiple copies of data on different database servers, replication provides a level of fault tolerance against the loss of a single database server.
  • ...18 more annotations...
  • replication can provide increased read capacity as clients can send read operations to different servers.
  • A replica set is a group of mongod instances that maintain the same data set.
  • A replica set contains several data bearing nodes and optionally one arbiter node.
  • one and only one member is deemed the primary node, while the other nodes are deemed secondary nodes.
  • A replica set can have only one primary capable of confirming writes with { w: "majority" } write concern; although in some circumstances, another mongod instance may transiently believe itself to also be primary.
  • The secondaries replicate the primary’s oplog and apply the operations to their data sets such that the secondaries’ data sets reflect the primary’s data set
  • add a mongod instance to a replica set as an arbiter. An arbiter participates in elections but does not hold data
  • An arbiter will always be an arbiter whereas a primary may step down and become a secondary and a secondary may become the primary during an election.
  • Secondaries replicate the primary’s oplog and apply the operations to their data sets asynchronously.
  • These slow oplog messages are logged for the secondaries in the diagnostic log under the REPL component with the text applied op: <oplog entry> took <num>ms.
  • Replication lag refers to the amount of time that it takes to copy (i.e. replicate) a write operation on the primary to a secondary.
  • When a primary does not communicate with the other members of the set for more than the configured electionTimeoutMillis period (10 seconds by default), an eligible secondary calls for an election to nominate itself as the new primary.
  • The replica set cannot process write operations until the election completes successfully.
  • The median time before a cluster elects a new primary should not typically exceed 12 seconds, assuming default replica configuration settings.
  • Factors such as network latency may extend the time required for replica set elections to complete, which in turn affects the amount of time your cluster may operate without a primary.
  • Your application connection logic should include tolerance for automatic failovers and the subsequent elections.
  • MongoDB drivers can detect the loss of the primary and automatically retry certain write operations a single time, providing additional built-in handling of automatic failovers and elections
  • By default, clients read from the primary [1]; however, clients can specify a read preference to send read operations to secondaries.
張 旭

Why I Will Never Use Alpine Linux Ever Again | Martin Heinz | Personal Website & Blog - 2 views

martinheinz.dev/92

linux alpine docker image

shared by 張 旭 on 23 Sep 23 - No Cached
  • musl is an implementation of C standard library. It is more lightweight, faster and simpler than glibc used by other Linux distros, such as Ubuntu.
  • Some of it stems from how musl (and therefore also Alpine) handles DNS (it's always DNS), more specifically, musl (by design) doesn't support DNS-over-TCP.
  • By using Alpine, you're getting "free" chaos engineering for you cluster.
  • ...2 more annotations...
  • this DNS issue does not manifest in Docker container. It can only happen in Kubernetes, so if you test locally, everything will work fine, and you will only find out about unfixable issue when you deploy the application to a cluster.
  • if your application requires CGO_ENABLED=1, you will obviously run into issue with Alpine.
  • 張 旭 on 23 Sep 23
     
    "musl is an implementation of C standard library. It is more lightweight, faster and simpler than glibc used by other Linux distros, such as Ubuntu."
張 旭

Creating Highly Available clusters with kubeadm | Kubernetes - 0 views

kubernetes.io/...high-availability

kubernetes system cluster

shared by 張 旭 on 17 May 21 - No Cached
  • If instead, you prefer to copy certs across control-plane nodes manually or using automation tools, please remove this flag and refer to Manual certificate distribution section below.
  • if you are using a kubeadm configuration file set the podSubnet field under the networking object of ClusterConfiguration.
  • manually copy the certificates from the primary control plane node to the joining control plane nodes.
  • ...1 more annotation...
  • Copy only the certificates in the above list. kubeadm will take care of generating the rest of the certificates with the required SANs for the joining control-plane instances.
張 旭

Ephemeral Containers | Kubernetes - 0 views

kubernetes.io/...ephemeral-containers

kubernetes docker

shared by 張 旭 on 19 Aug 22 - No Cached
  • a special type of container that runs temporarily in an existing Pod to accomplish user-initiated actions such as troubleshooting.
  • you cannot add a container to a Pod once it has been created. Instead, you usually delete and replace Pods in a controlled fashion using deployments.
  • you can run an ephemeral container in an existing Pod to inspect its state and run arbitrary commands.
  • ...4 more annotations...
  • Ephemeral containers differ from other containers in that they lack guarantees for resources or execution, and they will never be automatically restarted, so they are not appropriate for building applications.
  • Ephemeral containers are created using a special ephemeralcontainers handler in the API rather than by adding them directly to pod.spec, so it's not possible to add an ephemeral container using kubectl edit
  • distroless images enable you to deploy minimal container images that reduce attack surface and exposure to bugs and vulnerabilities.
  • enable process namespace sharing so you can view processes in other containers.
  • 張 旭 on 19 Aug 22
     
    "a special type of container that runs temporarily in an existing Pod to accomplish user-initiated actions such as troubleshooting. "
crazylion lee

Keepalived for Linux - 0 views

www.keepalived.org

clustering HA failover keepalived

shared by crazylion lee on 15 Aug 14 - Cached
  • crazylion lee on 15 Aug 14
     
    Keepalived is a routing software written in C. The main goal of this project is to provide simple and robust facilities for loadbalancing and high-availability to Linux system and Linux based infrastructures. Loadbalancing framework relies on well-known and widely used Linux Virtual Server (IPVS) kernel module providing Layer4 loadbalancing. Keepalived implements a set of checkers to dynamically and adaptively maintain and manage loadbalanced server pool according their health. On the other hand high-availability is achieved by VRRP protocol. VRRP is a fundamental brick for router failover. In addition, Keepalived implements a set of hooks to the VRRP finite state machine providing low-level and high-speed protocol interactions. Keepalived frameworks can be used independently or all together to provide resilient infrastructures.
張 旭

Setup ProxySQL for High Availability (not a Single Point of Failure) - Percona Database... - 0 views

www.percona.com/...ility-not-single-point-failure

mysql database cluster mariadb proxy

shared by 張 旭 on 18 Nov 18 - No Cached
  • ProxySQL doesn’t natively support any high availability solution
  • most common solution is setting up ProxySQL as part of a tile architecture, where Application/ProxySQL are deployed together.
    • 張 旭
      張 旭 on 18 Nov 18
       
      直接把 ProxySQL 跟 App 捆綁發佈
  • If we have 400 instances of ProxySQL, we end up keeping our databases busy just performing the checks.
  • ...5 more annotations...
  • Another possible approach is to have two layers of ProxySQL, one close to the application and another in the middle to connect to the database.
  • creates additional complexity in the management of the platform, and it adds network hops.
  • combining existing solutions and existing blocks: KeepAlived + ProxySQl + MySQL.
  • Keepalived implements a set of checkers to dynamically and adaptively maintain and manage load-balanced server pool according to their health.
  • Keepalived implements a set of hooks to the VRRP finite state machine providing low-level and high-speed protocol interactions.
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.).
« First ‹ Previous 41 - 60 of 88 Next › Last »
Showing 20▼ items per page