Skip to main content

Docker | Image | Container | VM | Containerd

Docker:
  • Docker is an engine by Docker. Explore slides.
  • Runs on host OS as well as guest OS, bare metal, cloud.
Image:
  • Packages software code, run-time, system tools, system libraries and settings.
  • Images become containers when they run on Docker Engine.
Container: 
  • Standard unit of software.
  • Isolate software from its environment
  • Software run same on Windows and Linux.
  • Could be portable anywhere.
  • Abstraction at the app layer that packages code and all dependencies together.
  • Runs application quickly from one computing env. to another env.
  • Do not require an OS per application, as it share the machine’s OS system kernel
  • Applications are safer in containers
  • Multiple containers can run on the same machine
  • Each container runs as an isolated processes in user space.
  • Require less space than VM.
Virtual Machines:
  • VMs are an abstraction of physical hardware.
  • Turns one server into many servers.
  • The hypervisor allows multiple VMs to run on a single machine.
  • Each VM includes a full copy of an operating system, the application, necessary binaries and libraries - taking up tens of GBs.
  • VMs can also be slow to boot.
Containerd:
  • Daemon available for Linux and Windows.
  • Manage by CNCF - Cloud Native Computing Foundation.
  • Designed to be used by Docker and Kubernetes and any other container platform
  • Docker, Kubernetes, Cloud Foundry, Fire Cracker and others are using.
  • Manages complete life cycle of the container on its host system.
  • Manages image transfer, storage  to container execution, supervision to low level storage to network attachments,  and beyond.
  • Abstract away syscalls or OS specific functionality to run containers on linux, windows, solaris, or other OSes.
  • Abstraction layer between management code and the syscalls.
  • Duct tape of features to run a container.
  • Complete storage and distribution system that supports both OCI and Docker image formats.
  • Networking are out of scope for containerd.
  • Provides push and pull functionality as well as image management.
  • You get container life-cycle APIs to create, execute, and manage containers and their tasks.
  • An entire API dedicated to snapshot management. 
  • Provides everything that you need to build a container platform without having to deal with the underlying OS details. 
  • Having a versioned and stable API that will have bug fixes and security patches backported.
Ref.:
https://www.docker.com/resources/what-container
https://www.docker.com/blog/what-is-containerd-runtime/

Explore -
Docker Network,
Docker Network

7 layers (level) of OSI
Docker v/s Kubernetes
Weave v/s Calico
Weave
VXLAN
What is VXLAN
VXLAN White papers

Comments

Popular posts from this blog

MySQL InnoDB cluster troubleshooting | commands

Cluster Validation: select * from performance_schema.replication_group_members; All members should be online. select instance_name, mysql_server_uuid, addresses from  mysql_innodb_cluster_metadata.instances; All instances should return same value for mysql_server_uuid SELECT @@GTID_EXECUTED; All nodes should return same value Frequently use commands: mysql> SET SQL_LOG_BIN = 0;  mysql> stop group_replication; mysql> set global super_read_only=0; mysql> drop database mysql_innodb_cluster_metadata; mysql> RESET MASTER; mysql> RESET SLAVE ALL; JS > var cluster = dba.getCluster() JS > var cluster = dba.getCluster("<Cluster_name>") JS > var cluster = dba.createCluster('name') JS > cluster.removeInstance('root@<IP_Address>:<Port_No>',{force: true}) JS > cluster.addInstance('root@<IP add>,:<port>') JS > cluster.addInstance('root@ <IP add>,:<port> ') JS > dba.getC...

Amazon RDS | Amzon Redshift | Big Data | Boost Performance with Amazon ElastiCache

Amazon RDS with Amazon ElastiCache for Performance: Amazon RDS supports - Oracle, MS SQL server, MySQL, Maria DB and PostgreSQL. It is a managed service offered by the Amazon.  Couple of customers have observed the performance issues during their journey with Amazon RDS with Oracle, MS SQL Server, MySQL, Maria DB and PostgreSQL. Amazon cloud engineers / database consultants / database architect and Amazon supports worked to-gather to boost the Amazon RDS performance by tuning the RDBMS configuration parameters using Amazon RDS parameter group , and have not achieved the SLA for Amazon RDS .  Amazon RDS with Multi AZ and Read Replica: Some of the the AWS professionals have suggested for vertical scaling of the Amazon RDS . It should works and its absolutely correct. In my opinion, it would be a good idea to think about the Amazon ElastiCache service with Amazon RDS for better performance and cost optimization also rather than vertically scaling the Amazon RDS . I would sug...

Needs for Graph Database

Needs for Graph Database: We are living in the era of data, data is treated more precise than gold and platinum. Most of the enterprises are trying to get more insight about the data they have it as an operational / warehouse / analytical.   Ref.: https://dist.neo4j.com/wp-content/uploads/graph-example.png To get more insight into the data, it is required to see the relationship among the data points. The challenge is how to establish the relationship among data points and the answers is Graph database. Relational databases can't help to establish the relationship among data points, due to their rigid schema, and consistent schema. Relational Database issues for data set: Number of Joins:  While fetching data from relational databases, we join many tables, these joins are complex, and consume considerable amount of computing resources, which increase the query response times. Self- joins: For database ware house / business intelligence systems using RDBMS, self-JOIN are ...