A movement has begun to take shape. It’s a movement of people who think it’s time for change in the IT industry – time to stop wasting money, time to start delivering great software and building systems that scale and last. This movement is being called Devops. But what is Devops? Where did it come from? And what can it achieve?
Our DevOps Service can automate anything and everything in the infrastructure with the outfit experiences to ensure the applications high availability with rock solid performance without hanging with any compatibility issues.
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Developers working in DevOps-mode receive fewer calls in the middle of the night to resolve production issues. That’s because they see issues before they become catastrophic problems due to an orientation of proactive monitoring rather than reactive alerts.
In a traditional software process, once software is developed it’s thrown over the wall to QA, which later throws it over another wall to production — so what the end-user ultimately sees might be quite different from what the developer wrote. But under the DevOps model, what you write goes live because you continue to have visibility and access to the code even after it goes to QA and production. In other words, developers own the delivery of the code from creation to implementation.
Developers, like most human beings, get greater satisfaction from work that has relevance in the real world. Because developers in a traditional organization are isolated, they often work on simulated problems in made-up user scenarios — and they only find out that these approximations are wrong when something breaks. In a DevOps model, scenarios are real. Environments are load tested, for example — before they’re put into production to see if they work correctly. Another example is that test scripts are themselves tested for realism by being deployed in the production environment and not just test labs. performs under real-life conditions.
Ansible, Puppet, Chef
Mesosphere, Kubernetes, Swarm, Ranger
Grafana with opentsdb,Integrating graphite, kairosdb Automation. Gathering metrics, Monitor plugin, Integrating the data with application by scripting in Python, Bash, Perl
AWS,Rackspace, Azure, Digital Ocean, Eucalyptus, Openstack
Mysql, Maria-DB, Percona cluster,postgresql
Mongo-DB, Redis, AWS Dynamo.
Jenkins, Codeship, Bamboo
Splunk, Gray log – HA, logstash, Cloud watch
By in -depth experience creating the graphs by system
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