docker list all containers

Summary of application detection failure failures in Docker containersDear friends, all of you peers;Today in the cloud platform encountered a problem, in the cloud platform above the Docker container application, in monitoring the client, the following are some common workarounds for application detection failures that are frequently encountered, as shown below;

As we all know, two Docker container can be connected with link, but we also know that container can map its own port to a host, such as a Tomcat on container A to expose the port to the host (0.0.0.0 : 58080->8080), the other MySQL on container B also exposes the port to the host (0.0.0.0:53306->3306), so the question is whether you can change the JDBC connection on a to jdbc:mysql:// 192.168.1.10:53306xxx

The root user uses the following commandDocker RM ' Docker Ps-a|awk ' {print $} ' |grep [0-9a-z] '1.docker RM supports multiple container IDs with •(tab above the key) to connect multiple containers for bulk deletion 2.The awk command will get all the container IDs of PS and print out the container ID of awk's data usi

-round. 3 Implementing the Architecture A schema implementation architecture is shown in the following figure: Analysis of 3.1 producer layer The service assumptions within the PAAs platform are deployed within the Docker container, so in order to meet the non-functional requirements, another process is responsible for collecting logs and therefore does not invade the service framework and processes. Using flume ng for log collection, this open s

STL provides six components that can be combined and used together 1. containers: various data structures, such as vertor, list, deque, set, and map. STL containers are a class template. 2. algorithms (algorithms): various algorithms such as sort, search, copy, and earse. STL is a function template. 3. iterators: act as the glue between

operations at both ends: push_back, push_front, pop_back, pop_front, etc, in addition, the operation efficiency on both ends is similar to that on list.Therefore, in actual use, how to select one of the three containers should be determined according to your needs. Generally, the following principles should be followed:1. If you need efficient instant access without worrying about the efficiency of insertion and deletion, use the Vector2. If you need

The list supports quick inserts and deletions, but it takes time to find them; Vector supports fast lookups, but inserts take time. The time complexity of the map lookup is logarithmic, which is almost the fastest, and the hash is logarithmic.If I wrote it myself, I would also use a binary search tree, it can guarantee logarithmic complexity in most cases, the worst-case scenario is constant complexity, and std::map can guarantee logarithmic complexit

Command: Ctr Containers-hNAME:CTR containers-manage Containers (metadata)USAGE:CTR Containers Command [command options] [arguments ...]COMMANDS:list, ls list all tasks or those that match a filterDelete, Del, rm delete an existing

1. About list containers List is a sequential container. The functions completed by the list container are actually very similar to the two-way linked list in the data structure. The data elements in the list are a linear table

: push_back, push_front, pop_back, pop_front, etc, in addition, the operation efficiency on both ends is similar to that on list.In the standard library, vector and deque provide almost the same interface. In terms of structure, they differ mainly in the differences between the two containers in the organizational memory, deque allocates memory by page or block. Each page contains a fixed number of elements. on the contrary, the vector allocates a con

significant performance differences for different element numbers.So, theoretically (and theoretically) their algorithmic time complexity is almost "constant" (not if the conflict is to be handled). However, the use of time for the average user may pose a risk. Unless you have a good estimate of the hashing algorithm and the number of elements you are using. In my simple test (using the int element type, the default hash function of STD), the performance of the hash container is ranked at the b

In STL, the basic containers include vector, list, deque, set, and map. Set and map are unordered storage elements. They can only be accessed through the interfaces provided by it. Set: Set, used to determine whether an element is in a group and is rarely used.Map: Ing,Equivalent to a dictionaryTo map a value to another value. If you want to create a dictionary, use it.The underlying layer uses a tree struc

This is actually a C language class assignment. I expanded my questions. The core lies in how containers support all data types. My solution is to obtain the length of the Data Type (sizeof) during initialization, and then copy the data one byte at a time when adding the data. The data structure is as follows: The linked list + array method is used. I set ELEMENT

large) should be done:(1) Configure a new space(2) Move old element one by one to new site(3) Release the original space back to the systemNote: Vector data is arranged and manipulated in a very similar way to array. The only difference between the two is the flexibility of space utilization. The expansion space of the Array should be written by the programmer himself. The vector class defines several constructors for defining and initializing vector objects:VectorVectorVectorVector2, DequeCont

Transferred from: http://www.haogongju.net/art/1543058The list supports quick insertions and deletions, but looks time-consuming;The vector supports quick lookups, but inserts are time consuming.The time complexity of map lookups is logarithmic, which is almost the fastest and the hash is logarithmic. If I write myself, I will also use a binary search tree, which in most cases can guarantee the logarithmic complexity, the worst case is the constant co

Sequential containers::(vectors and lists and deque)The erase iterator not only invalidates all iterators that point to the deleted element, but also invalidates all iterators after the deleted element, so erase (iter++) cannot be used, but the return value of erase is the next valid iterator, so the correct method is:: For (iter = C.begin (); ITER! = C.end ();)i

; // ErrorWhen we write, we suggest using the first form of writing to develop a good habit.In fact, the third kind of definition is not because it is written together with a > symbol that will synthesize a >> symbol4. Operation of IteratorsOperations supported by all iterators *iter // Returns the reference of the element to which the iterator points iter->name // Gets the iterator pointing to the name in the element The container

1.Start a container running Consul:Here we use this image:https://hub.docker.com/r/progrium/consul/$ docker run-it-h node-p 8500:8500-p 53:53/udp progrium/consul-server-bootstrap-advertise $DOCKER _ipHow to check this Consul is running:METHOD1:In Docker-machine, run$ docker PSwould see running Consul container:We can a

Recently in the study of Kubernetes,docker warehouse used more, every query has to curl good trouble, so just wrote this.#!/usr/bin/envpython#-*-coding:utf-8-*-"" "author= ' Perling ' time = ' 2016/11/10 ' "" "importurllib2importjsonregistry=" 172.31.14.229:5000 "registry_url= "http://%s"%registrydefhttp_get (URL): req=urllib2. Request (URL) req.add_header ("Content-type", "Application/json-rpc") resp=urllib2.urlopen (req) resp_json=json.loads (Resp