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A Complete Guide to DevOps

1.History of DevOps First time pitched in Toronto Conference in 2008 by Patrick Debois and Andrew Shafer. He proposed that there is a better approach can be adopted to resolve the conflicts we have with dev and operation time so far. This again took a boom when 2 flickr employee delivered a  seminar that how they are able to place 10+ deployment in a day. They came up with a proven model which can resolve the conflicts of Dev and operation having component build, test and deploy this should be an integrated development and operations process.2.Definition of DevOpsDevOps is a practice culture having a union of people, process, and tools which enables faster delivery. This culture helps to automate the process and narrow down the gaps between development and IT. DevOps is a kind of abstract impression that focuses on key principles like Speed, Rapid Delivery, Scalability, Security, Collaboration & Monitoring etc.             A definition mentioned in Gartner “DevOps represents a change in IT culture, focusing on rapid IT service delivery through the adoption of agile, lean practices in the context of a system-oriented approach. DevOps emphasizes people (and culture) and seeks to improve collaboration between operations and development teams. DevOps implementations utilize technology— especially automation tools that can leverage an increasingly programmable and dynamic infrastructure from a life cycle perspective.”3.How DevOps Works with a toolchain?4.Benefits of DevOpsAdding some benefits which we can see after adopting DevOps :a) Horizontal and vertical growth: When I’m using “Horizontal and Vertical Growth” I’m keeping customer satisfaction on X, Business on Y2 and time on Y axis. Now the question is how it helps to populate growth in 2 axes, and my answer will be the quick turnaround time for minor and major issues. Once we adopt DevOps we scale and build in such fashion that in less time the graph shows a rapid jump.b) Scalability & Quality: If a business starts reaching to more user we start looking to increase infrastructure and bandwidth. But in other hands, it starts popping up a question whether we are scaling our infra in right way and also if a lots people are pushing changes (Your code commits/builds) are having the same or great quality we have earlier. Both of the questions are somehow now reserved by the DevOps team. If your business pitch that we might be going to hit 2000+ client and they will be having billion of traffic and we are ready to handle, DevOps take this responsibility and says yes can scale infra at any point of time. And if the same time internal release team says I want to deliver 10 feature in next 10 days independently, DevOps says quality can be maintained.c) Agility & Velocity: They key param of adopting DevOps is to improve the velocity of product development. DevOps enables Agility and if both are in sync we can easily observe the velocity. The expectation of end users are always high and at the same time, the deliverable time span is short. To achieve this we have to ensure that we are able to our rollout new features to customers at much higher frequencies otherwise your competitors may win the marketBe an industry recognized DevOps engineer.  Click here for schedules.d) Improving ROI of Data: Having DevOps in an organization ensures that we can design a decent ROI from data at an early stage more quickly. If we will do a raw survey now Software industry is playing with data and have control over there a team should have an end to end control on data. And if we define DevOps it will help a team to crunch data in various ways by automating small jobs. Automation we can segregate and justify data and this helps to populate either in Dashboard or can present offline to a customer.5.How DevOps enables CI/CD (Continuous Integration/Continuous Delivery)When we say “continuous” it doesn’t translate that “always running” but of course “always ready to run”.Continuous integration is nothing but the development philosophy and practices that drive teams to check-in code to version control system as often as possible. So keeping your build clean and QA ready developer's changes need to be validated by running automated tests against the build that could be a Junit, iTest. The goal of CI is to place a consistent and automated way to build and test applications which results in a better collaboration between teams, and eventually a better-quality product.Continuous Delivery is an adjunct of CI which enables a facility to make sure that we can release new changes to your customers quickly in a sustainable way. Typical CD involves below steps:Pull code from version control system like bitbucket and execute build.Execute any required infrastructure steps command line/script to stand up or tear down cloud infrastructure.Move to build to right compute environment Able to handle all the configuration generation process.Pushing application components to their appropriate services, such as web servers, API services, and database services.Executing any steps required to restarts services or call service endpoints that are needed for new code pushes.Executing continuous tests and rollback environments if tests fail.Providing log data and alerts on the state of the delivery. Below there is a table which will help us better to understand what we need to put an effort and what we will gain if we enable CI/CD in place:Practice testEffort RequiredGainContinuous integrationa) Need to prepare automated  your team willneed to write automated tests for each new feature, improvement or bug fixb)You need a continuous integration server that can monitor the main repository and run the tests automatically for every new commits pushed.c)Developers need to merge their changes as often as possible, at least once a day.a) Will give control on regressions which can be captured in early stage of automated testing.b)Less context switching as developers are alerted as soon as they break the build and can work on fixing it before they move to another task.c)Building the release is easy as all integration issue have beer solved early.d)Testing costs are reduced drastically- your Cl server can run hundreds of tests in the matter 0 seconds.e)Your QA team spend less time testing and can focus or significant improvement to the quality culture.Continuous Deliverya)You need a strong foundation in continuousintegration and your test suite needs to cover enough of your codebase.b)Deployments need to be automated. The tigger is still manual but once a deployment is started there shouldn't be a need for human intervention.c)Your team will most likely need to embrace feature flags so that incomplete feature do not affect customer in production.a)The complexity of deploying software has been taken away your team doesn't have to spend days preparing for a release anymore.b)You can release more often thus accelerating the feedback loop with your customer.C)There is much less pressure on decisions for small changes hence encouraging iterating faster.Sample Flow of CI /CD plan:-      6. Devops Tools Version:Build: Jenkins:  Jenkins is an open source automation server which is used to automate the software build, and deliver or deploy the build.  It can be installed through native system packages, Docker, or even run standalone by any machine with a Java Runtime Environment (JRE) installed. In short, Jenkins enables continuous integration which helps to accelerate the development. There are ample of plugins available which enables integration for Various DevOps stages. For example Git, Maven 2 project, Amazon EC2, HTML publisher etc.Alert: Pingdom: Pingdom is a platform which enables monitoring to check the availability,  performance, transaction monitoring (website hyperlink) and incident collection of your websites, servers or web applications. Beauty is if you are using collaboration tool like slack or flock you can just integrate by using the webhook (Pretty much simple no code required)you can easily get notified at any time. Pingdom also provides API so you can have your customized dashboard (Recently started) and the documentation is having enough details and self-explanatory.                                                                                                     Image copyright Pingdom - D-3Nagios: It’s an Open Source Monitoring Tool to monitor the computer network. We can monitor server, applications, incident manager etc and you can certainly configure email, SMS, Slack notifications and phone calls even. Nagios is licensed under GNU GPLv2. Listing some major components which can be monitored with Nagios:Once we install Nagios we get a dashboard to monitor network services like SMTP, HTTP, SNMP, FTP, SSH, POP, etc and can view current network status, problem history, log files, notifications that have been triggered by the system, etc.We can monitor Servers resources like disk drives, memory, processor, server load usage, system logs, etc.                                                                                              Image copyright stack driver- D-4Stackdriver: Stackdriver is again a Monitoring tool to get the visibility of performance, uptime, and overall health for cloud-powered applications. Stackdriver monitoring collects events and metadata from Google Cloud Platform, Amazon Web Services (AWS). Stackdriver consumes data and generates insights via dashboards, charts, and alerts. And for alerting we can integrate to collaboration tools like Slack, PagerDuty, HipChat, Campfire, and more.                                                                                             Image copyright stack driver- D-2Adding one sample log where we can see what all parameter it collects and also i have just separated them in the fashion which will help us to understand what all it logs it actually collects:Log InformationUser Details and Authorization InfoRequest Type and Caller IPResource and Operation DetailsTimeStamp and Status Details{ insertId:   logName: operation: {  first:    id:  producer: }protoPayload: {  @type:  authenticationInfo: {  principalEmail:      }  authorizationInfo: [  0: {  granted:    permission:      }  ]methodName:    request: {   @type:    }requestMetadata: {callerIp:callerSuppliedUserAgent:  }resourceName:response: {@type:   Id: insertTime:   name: operationType:   progress:   selfLink:   status:     targetId:    targetLink:   user:   zone:    }  serviceName:   }receiveTimestamp: resource: { labels: { instance_id: project_id:     zone:     } type:   } severity: timestamp:  }Monitoring: Grafana: It is an open source visualization tool and can be used on top of different data stores like InfluxDB,Elasticsearch and Logz.io.We can create comprehensive charts with smart axis formats (such as lines and points) as a result of Grafana’s fast, client-side rendering — even over long ranges of time — that uses Flot as a default option. We can get the 3 different level of access, watcher, Editor and Admin, even we can enable G-Auth for having good access control. A detail information guide can be found here.                                                                                         Image copyright stack driver- D-5ELK:ELK:Elasticsearch: It's an open source realtime distributed, RESTful search and analytics engine. It collects unstructured data and stores in a cultivated format which is optimized and available for language based search. The beauty of Elastic is scalability, speed, document-oriented, schema-free. It scales horizontally to handle kajillions of events per second, while automatically managing how indices and queries are distributed across the cluster for smooth operations.Logstash:  Logstash is used to gather logging messages, convert them into JSON documents and store them in an ElasticSearch cluster.Kibana:reOptimize.io: Once we run ample of servers we usually end up with burning good amount not intentionally but of course because of not have a clear visualization. At reoptimize helps thereby providing a detailed insight about the cloud expense the integration can be done with 3-4 simple steps but before that you might need to look into the request which can be accessed here. Just a heads up that they only need a read access for all these and permission docs can be found here .                                                                                            Image copyright reOptimizeD-6  7  DevOps vs AgileDevopsAgileDevOps culture can be enabled in the software industry to deliver reliable build.Agile is a generic culture which can be deployed in any departmentThe key focus area is to have involvement at the end to end processAgile helps management team to push the frequent releaseEnables quality build with rapid deliveryKeep team aware of frequent changes for any release and featureAgile sprints work within the immediate future, A sprint lifecycle varies between 7-30 days.DevOps don’t have such scheduled matrix, they work to avoid such unscheduled disruptions.Team size also differs, in Agile wee can minimal resource can be one as well.DevOps works on collaboration and bridge a big set of the team.    8 What are a DevOps engineer & roles and responsibilities of it? Don’t want to be specific but I should say when they build or code they keep the business logic in mind. DevOps engineer should also seek for why this but why not this. They add value when they communicate infra which help business to scale. DevOps team should have control on data matrix collection which could be business driven and the automation pipeline would be Dev driven. As current demand of the cloud is on the pick they should also have a control over the scalability. DevOps engineer are expert collaborators and also they are often known as a mentor for a software developer as they help them to build a scalable architecture. At the same time, they join IT and security team to ensure that there is enough work has been done to push quality code and to avoid data breach.  9 DevOps engineer salary As per the current market, trend salary doesn’t seem to be a bar for right candidate. The basic expectation from companies are, the candidate should be a good learner and at the same time, he or she should be able to implement that expertise to resolve the real-time problem. And for cracking good no’s you must have the ability to build an automated pipeline of DevOpsCountryAverage salaryExpUS$51,640-$133,3780-5 YEARSIndia$4,144-$21,184UK$73,367-$96,845SV$41,000-$210,000  Above table is a kind of current trending no’s which we recently heard from candidates, companies and also the analytical firms who all participate in this (Hiring Firms). Nowadays there is we can see there is a demand for DevOps engineer in almost every organization. And also I must say Startup always beat MNC in salary though they also beat in work, which I believe it is always a good sign to see a growth in your skill and no’s.DevOps Useful LinkWhat is DevOps? (Credit- Sam Guckenheimer- Azure)Introduction to CI/CD (Credit- Justin Ellingwood- Digital Ocean)How to autoscale : GCP (Credit: RK Kuppala - Searce)Opensource Tool for DevOps (Credit: Tomer Levy - Logz.io)DevOps success story (Credit: Ben Putano - Stackify )Netflix Load Balancing system (Credit:Netfllix)DevOps by vmware (Credit: VmWare)
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A Complete Guide to DevOps

3K
  • by MD Zaid Imam
  • 30th Nov, 2018
  • Last updated on 17th Dec, 2018
  • 9 mins read
A Complete Guide to DevOps

1.History of DevOps 

First time pitched in Toronto Conference in 2008 by Patrick Debois and Andrew Shafer. He proposed that there is a better approach can be adopted to resolve the conflicts we have with dev and operation time so far. This again took a boom when 2 flickr employee delivered a  seminar that how they are able to place 10+ deployment in a day. They came up with a proven model which can resolve the conflicts of Dev and operation having component build, test and deploy this should be an integrated development and operations process.

2.Definition of DevOps

DevOps is a practice culture having a union of people, process, and tools which enables faster delivery. This culture helps to automate the process and narrow down the gaps between development and IT. DevOps is a kind of abstract impression that focuses on key principles like Speed, Rapid Delivery, Scalability, Security, Collaboration & Monitoring etc.
             
A definition mentioned in Gartner

 “DevOps represents a change in IT culture, focusing on rapid IT service delivery through the adoption of agile, lean practices in the context of a system-oriented approach. DevOps emphasizes people (and culture) and seeks to improve collaboration between operations and development teams. DevOps implementations utilize technology— especially automation tools that can leverage an increasingly programmable and dynamic infrastructure from a life cycle perspective.”


3.How DevOps Works with a toolchain?
How DevOps Works with a toolchain
4.Benefits of DevOps

Adding some benefits which we can see after adopting DevOps :

a) Horizontal and vertical growth: When I’m using “Horizontal and Vertical Growth” I’m keeping customer satisfaction on X, Business on Y2 and time on Y axis. Now the question is how it helps to populate growth in 2 axes, and my answer will be the quick turnaround time for minor and major issues. Once we adopt DevOps we scale and build in such fashion that in less time the graph shows a rapid jump.
Horizontal and vertical growth
b) Scalability & Quality: If a business starts reaching to more user we start looking to increase infrastructure and bandwidth. But in other hands, it starts popping up a question whether we are scaling our infra in right way and also if a lots people are pushing changes (Your code commits/builds) are having the same or great quality we have earlier. Both of the questions are somehow now reserved by the DevOps team. If your business pitch that we might be going to hit 2000+ client and they will be having billion of traffic and we are ready to handle, DevOps take this responsibility and says yes can scale infra at any point of time. And if the same time internal release team says I want to deliver 10 feature in next 10 days independently, DevOps says quality can be maintained.

c) Agility & Velocity: They key param of adopting DevOps is to improve the velocity of product development. DevOps enables Agility and if both are in sync we can easily observe the velocity. The expectation of end users are always high and at the same time, the deliverable time span is short. To achieve this we have to ensure that we are able to our rollout new features to customers at much higher frequencies otherwise your competitors may win the market

Be an industry recognized DevOps engineer.  Click here for schedules.

d) Improving ROI of Data: Having DevOps in an organization ensures that we can design a decent ROI from data at an early stage more quickly. If we will do a raw survey now Software industry is playing with data and have control over there a team should have an end to end control on data. And if we define DevOps it will help a team to crunch data in various ways by automating small jobs. Automation we can segregate and justify data and this helps to populate either in Dashboard or can present offline to a customer.


5.How DevOps enables CI/CD (Continuous Integration/Continuous Delivery)

When we say “continuous” it doesn’t translate that “always running” but of course “always ready to run”.

Continuous integration is nothing but the development philosophy and practices that drive teams to check-in code to version control system as often as possible. So keeping your build clean and QA ready developer's changes need to be validated by running automated tests against the build that could be a Junit, iTest. The goal of CI is to place a consistent and automated way to build and test applications which results in a better collaboration between teams, and eventually a better-quality product.

Continuous Delivery is an adjunct of CI which enables a facility to make sure that we can release new changes to your customers quickly in a sustainable way. Typical CD involves below steps:

  • Pull code from version control system like bitbucket and execute build.
  • Execute any required infrastructure steps command line/script to stand up or tear down cloud infrastructure.
  • Move to build to right compute environment 
  • Able to handle all the configuration generation process.
  • Pushing application components to their appropriate services, such as web servers, API services, and database services.
  • Executing any steps required to restarts services or call service endpoints that are needed for new code pushes.
  • Executing continuous tests and rollback environments if tests fail.
  • Providing log data and alerts on the state of the delivery. 

Below there is a table which will help us better to understand what we need to put an effort and what we will gain if we enable CI/CD in place:

Practice testEffort RequiredGain
Continuous integrationa) Need to prepare automated  your team will
need to write automated tests for each new feature, improvement or bug fix

b)You need a continuous integration server that can monitor the main repository and run the tests automatically for every new commits pushed.

c)Developers need to merge their changes as often as possible, at least once a day.
a) Will give control on regressions which can be captured in early stage of automated testing.

b)Less context switching as developers are alerted as soon as they break the build and can work on fixing it before they move to another task.

c)Building the release is easy as all integration issue have beer solved early.

d)Testing costs are reduced drastically- your Cl server can run hundreds of tests in the matter 0 seconds.

e)Your QA team spend less time testing and can focus or significant improvement to the quality culture.

Continuous Deliverya)You need a strong foundation in continuous
integration and your test suite needs to cover enough of your codebase.

b)Deployments need to be automated. The tigger is still manual but once a deployment is started there shouldn't be a need for human intervention.

c)Your team will most likely need to embrace feature flags so that incomplete feature do not affect customer in production.
a)The complexity of deploying software has been taken away your team doesn't have to spend days preparing for a release anymore.

b)You can release more often thus accelerating the feedback loop with your customer.

C)There is much less pressure on decisions for small changes hence encouraging iterating faster.


Sample Flow of CI /CD plan:-

      6. Devops Tools 

Version:
Build: 
Jenkins:  Jenkins is an open source automation server which is used to automate the software build, and deliver or deploy the build.  It can be installed through native system packages, Docker, or even run standalone by any machine with a Java Runtime Environment (JRE) installed. In short, Jenkins enables continuous integration which helps to accelerate the development. There are ample of plugins available which enables integration for Various DevOps stages. For example Git, Maven 2 project, Amazon EC2, HTML publisher etc.
Alert: 

Pingdom: Pingdom is a platform which enables monitoring to check the availability,  performance, transaction monitoring (website hyperlink) and incident collection of your websites, servers or web applications. Beauty is if you are using collaboration tool like slack or flock you can just integrate by using the webhook (Pretty much simple no code required
)you can easily get notified at any time. Pingdom also provides API so you can have your customized dashboard (Recently started) and the documentation is having enough details and self-explanatory.
                                                                                                     Image copyright Pingdom - D-3

Nagios: It’s an Open Source Monitoring Tool to monitor the computer network. We can monitor server, applications, incident manager etc and you can certainly configure email, SMS, Slack notifications and phone calls even. Nagios is licensed under GNU GPLv2. Listing some major components which can be monitored with Nagios:

  • Once we install Nagios we get a dashboard to monitor network services like SMTP, HTTP, SNMP, FTP, SSH, POP, etc and can view current network status, problem history, log files, notifications that have been triggered by the system, etc.
  • We can monitor Servers resources like disk drives, memory, processor, server load usage, system logs, etc. 


                                                                                             Image copyright stack driver- D-4

Stackdriver: Stackdriver is again a Monitoring tool to get the visibility of performance, uptime, and overall health for cloud-powered applications. Stackdriver monitoring collects events and metadata from Google Cloud Platform, Amazon Web Services (AWS). Stackdriver consumes data and generates insights via dashboards, charts, and alerts. And for alerting we can integrate to collaboration tools like Slack, PagerDuty, HipChat, Campfire, and more.

                                                                                             Image copyright stack driver- D-2

Adding one sample log where we can see what all parameter it collects and also i have just separated them in the fashion which will help us to understand what all it logs it actually collects:


Log Information


User Details and Authorization Info

Request Type and Caller IP
Resource and Operation Details


TimeStamp and Status Details


{
 insertId:  
 logName:
 operation: {
  first:  
  id:
  producer:
 }

protoPayload: {
  @type:
  authenticationInfo: {
  principalEmail:    
  }
  authorizationInfo: [
  0: {
  granted:  
  permission:    
  }
  ]


methodName:  
  request: {
   @type:  
  }
requestMetadata:
 {
callerIp:
callerSuppliedUserAgent:
  }


resourceName:
response: {
@type:  
 Id:
 insertTime:  
 name:
 operationType:  
 progress:  
 selfLink:  
 status:    
 targetId:    
targetLink:  
 user:  
 zone:  
  }
  serviceName:  
 }


receiveTimestamp:
 resource: {
 labels: {
 instance_id:
 project_id:    
 zone:    
 }
 type:  
 }
 severity:
 timestamp:  
}




Monitoring: 
Grafana: It is an open source visualization tool and can be used on top of different data stores like InfluxDB,Elasticsearch and Logz.io.We can create comprehensive charts with smart axis formats (such as lines and points) as a result of Grafana’s fast, client-side rendering — even over long ranges of time — that uses Flot as a default option. We can get the 3 different level of access, watcher, Editor and Admin, even we can enable G-Auth for having good access control. A detail information guide can be found here
.

                                                                                         Image copyright stack driver- D-5ELK:
ELK:
Elasticsearch: It's an open source realtime distributed, RESTful search and analytics engine. It collects unstructured data and stores in a cultivated format which is optimized and available for language based search. The beauty of Elastic is scalability, speed, document-oriented, schema-free. It scales horizontally to handle kajillions of events per second, while automatically managing how indices and queries are distributed across the cluster for smooth operations.

Logstash:  Logstash is used to gather logging messages, convert them into JSON documents and store them in an ElasticSearch cluster.
Kibana:

reOptimize.io: Once we run ample of servers we usually end up with burning good amount not intentionally but of course because of not have a clear visualization. At reoptimize helps thereby providing a detailed insight about the cloud expense the integration can be done with 3-4 simple steps but before that you might need to look into the request which can be accessed here. Just a heads up that they only need a read access for all these and permission docs can be found here .

                                                                                            Image copyright reOptimizeD-6

  7  DevOps vs Agile


Devops


Agile

DevOps culture can be enabled in the software industry to deliver reliable build.
Agile is a generic culture which can be deployed in any department

The key focus area is to have involvement at the end to end process
Agile helps management team to push the frequent release

Enables quality build with rapid delivery
Keep team aware of frequent changes for any release and feature

Agile sprints work within the immediate future, A sprint lifecycle varies between 7-30 days.
DevOps don’t have such scheduled matrix, they work to avoid such unscheduled disruptions.

Team size also differs, in Agile wee can minimal resource can be one as well.
DevOps works on collaboration and bridge a big set of the team.

 

   8 What are a DevOps engineer & roles and responsibilities of it? 

Don’t want to be specific but I should say when they build or code they keep the business logic in mind. DevOps engineer should also seek for why this but why not this. They add value when they communicate infra which help business to scale. DevOps team should have control on data matrix collection which could be business driven and the automation pipeline would be Dev driven. As current demand of the cloud is on the pick they should also have a control over the scalability. 

DevOps engineer are expert collaborators and also they are often known as a mentor for a software developer as they help them to build a scalable architecture. At the same time, they join IT and security team to ensure that there is enough work has been done to push quality code and to avoid data breach.

  9 DevOps engineer salary

 As per the current market, trend salary doesn’t seem to be a bar for right candidate. The basic expectation from companies are, the candidate should be a good learner and at the same time, he or she should be able to implement that expertise to resolve the real-time problem. And for cracking good no’s you must have the ability to build an automated pipeline of DevOps

CountryAverage salaryExp
US$51,640-$133,3780-5 YEARS
India$4,144-$21,184
UK$73,367-$96,845
SV$41,000-$210,000

  Above table is a kind of current trending no’s which we recently heard from candidates, companies and also the analytical firms who all participate in this (Hiring Firms). Nowadays there is we can see there is a demand for DevOps engineer in almost every organization. And also I must say Startup always beat MNC in salary though they also beat in work, which I believe it is always a good sign to see a growth in your skill and no’s.

DevOps by vmware (Credit: VmWare)

MD Zaid

MD Zaid Imam

Project Manager

Md Zaid Imam is currently serving as Project Manager at Bot Mitigation firm, ShieldSquare. With a zeal for project management and business analytics, Zaid likes to explore UI/UX, backend development, and DevOps. Playing a crucial role at his current job, Zaid has helped his team to deliver world-class product features that cater to the demand of current industry requirements of bot mitigation arena (Processing 50 billion API calls per month). Zaid is a regular contributor on Hashnode.


Website : https://hashnode.com/@Zaid

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DevOps & Automation- Advantages Of DevOps

Automation is the key to realizing the philosophy of DevOps and in ensuring that it delivers. The underlying building blocks of DevOps are to ensure that the engineering platform is in place to facilitate continuous delivery, integration, and improvement.  Consider the following processes that have traditionally been carried out manually- Creating development, testing and production infrastructure and configuring networks Harnessing security and data protection Setting up, configuring and deploying software Testing and validation of data – data generated from the application and about the usage of the application Supporting infrastructure and the applications running on it – maintenance, upgrades and transitions In a traditional development scenario, each new environment has to be created from scratch and include all of the above processes, making it a very tedious and lengthy process. However, in a DevOps environment, releases are more frequent and time for testing and quality assurance is therefore much shorter. Performing all these tasks manually therefore severely undermines the efficacy of the DevOps approach. However, it is not just about making DevOps possible, it also has its own advantages. Unexpected errors in production still occur in manual builds as it is difficult to exactly replicate each environment. This in turn, increases the risk of errors occurring in production after testing has been carried out on non-identical pre-production systems. In today’s software world, it is all about productizing and replicating solutions. A product needs to be customized and deployed at a new client site within a really short period of time. Once deployed, the operations support team must be able to support with issues, bug fixes and day-to-day activities in a smooth manner. Similarly, a product deployed for one business domain must easily be configured and utilized by another industry. Such is the flexibility expected from software today. What’s more, in the traditional development cycle, each member of the team has a local copy of the code. When a developer implements a new feature or fixes a bug locally, once complete, the new code is committed back to a central repository. But in a team of developers and system operators, more than one individual can be following this process at the same time, unintentionally breaking the code or affecting another developer’s code. The rule of thumb is that the greater the human intervention, the more testing that will be required. Pre-production or development environments become non-standard which makes processes like testing or releasing new software versions more difficult to repeat and more prone to error. In worst-case scenarios, developers are left to re-invent the wheel each time they need to make changes in response to new business demands. The advantage of DevOps By creating a more responsive development environment that is closely aligned to business requirements and which removes human error from the project lifecycle, DevOps enables organizations to:  Reduce the implementation time of new services from months to minutes  Increase productivity of business and IT teams  Save costs on maintenance and upgrades, and eliminate unnecessary capital expenditure  Standardize processes for easy replication and faster delivery  Improve quality, reliability and reusability of all system components  Increase the rate of success for digitalization strategies and transformation projects  Ensure that money invested in cloud infrastructure, analytics and data management are not wasted Since it focuses on delivering value much earlier in a project lifecycle, DevOps can be seen as an ideal approach to national and government IT projects, as well as massive scale projects for the private sector. It helps accelerate new services through continuous improvement and operational flexibility, providing innovative and cost-effective ways for delivering value through new ways of development and operations. Devops course helps in automation of organization & more benefits
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DevOps & Automation- Advantages Of DevOps

Automation is the key to realizing the philosophy ... Read More

Best Practices For Successful Implementation Of DevOps

What is DevOps?DevOps is nothing but the combination of process and philosophies which contains four basic component culture, collaboration, tools, and practices. In return, this gives a good automated system and infrastructure which helps an organisation to deliver a quality and reliable build. The beauty of this culture is it enables a quality for organizations to better serve their customers and compete more effectively in the market and also add some promised benefits which include confidence and trust, faster software releases, ability to solve critical issues quickly, and better manage unplanned work.                                       “DevOps is not a goal, but a never-ending process of continual improvement.”                                                                           Jez Humble Here are the key DevOps best practices that can help you for successful implementation of DevOps.1. Understand Your Infrastructure need: Before building the infrastructure, spend some good time to understand the application and then align your goals to design your Infrastructure and this implementation of DevOps should be business-driven. While understanding infra, make sure you are capturing below components:Cycle Time : Your software cycle needs to be defined in a generic way where you need to know the limitations, ability and if there is any down time then the exact time need to be noted.Versioning Environments: While planning DevOps, always be ready for an alternative solution and versioning your environments helps you to roll out/back your plan. If you are having multiple module and tightly coupled then it requires a clean and neat plan to identify each and every patch and release.Infra as a code: When we say infra as a code it means a solution to addressing both needs – minimizing cycle time and versioning environments can be addressed by capturing and managing your Infrastructure as code. What you built should scalable for a long run.2. Don’t jump start : There is no need to automate the complete cycle in one shot, always take a small entity and apply your philosophy and get this validated. Once you feel your POC is justified, start scaling up now and create a complete pipeline and define a process so anytime you can go back and check what all need to improve and where. All these small success will help you to get confidence internally in your team and builds a trust to stakeholder and your customers.                                                        “DevOps isn’t magic, and transformations never happen overnight”3. Continuous Integration and Continuous Deployment: If  your team is not planning to implement this continuous integration and continuous delivery, then it is not fair with DevOps. Even I’ll say the beauty of DevOps is how frequently your team can deliver without disturbance and how much you are automated in this process. Let’s take a use case: You and your team members are working in an Agile team. In fact, there are multiple teams and multiple modules which are tightly coupled  in which you are also involved. Every day you work on your stories and at the end of the day, you push your ‘private build’ of your work to verify if it builds and ‘deliver’ it to a team build server and same applies to other individuals. Which indicates you all ‘integrate’ your work in the common build area and do an ‘Integration Build’. Doing these integrations and builds to verify them on a regular, preferably daily basis, is what is known as Continuous Integration.Continuous Deployment doesn’t mean every change is deployed to production as soon as possible. It means every change is proven to be deployable at any time.  What it takes is your all validated feature and build from CI and deploys them into the production environment. And here we can follow some of the practices. a) Maintain a Staging Environment that Emulates Production b) Always deploy in staging then move to production c) Automate Testing of Features and Nonfunctional Requirements d) Automatically fetch version-controlled development artifacts.4. Define Performance and do benchmarking : Always do some performance testing and get a collective benchmarking report for the latest build shared by your team because this will only justify the quality of your build and the required infra as well.For example : We have done one performance testing a few days back and got good results, explaining in details. So we did some benchmarking for our CFM machines because we are having a global footprint and at the same time, for us, latency matters and we need CFM in the nearest region. We have verified with our current build how many requests we can handle and we found we are firing more than 200 RPS (request per second). So we planned to check our build capability and fired a good number of requests and noted the number where our build got crashed and noted the RPS and then we did autoscaling of CFM. We might have upgraded our CFM but we planned for auto scaling because the number of requests is an assumption and we don’t want to spend amount for that but at the same time we are ready to consume the experimented traffic. And then we found 7 out 2 CFM are only consuming exact or little less number configuration and request (181 to 191 RPS). So we shared a report to the business team to focus on other regions where we were having very less traffic because we were paying the same amount.Conclusion: We verified our build which has given good confidence to our dev team and we shared the report to the business team which helped them to plan their marketing strategies, meanwhile we completed auto scaling the process as well.  5. Communicate and Collaborate : Collaboration and communication are the X-factors to help organisation grow and assess for DevOps. Collaboration with business and development team helps DevOps team to understand to design & define a culture. This helps to speed up the development, operations, and even other teams like marketing or sales, allowing all parts of the organization to align more closely with goals and projects.6. Start Documenting : Document everything (All your work done) which you are spreading across the process and infrastructure and specially the reports, RCA’s (Root cause Analysis), change management. This helps you to go back and see if all issues we faced can be automated in the next cycle or other ways to handle them smoothly without interrupting your production environment.7. Keep your eyes on cost burning: It has been experienced many a time that if we don’t keep an eye on cloud bills it will keep increasing and will tend to be proportional to the growth of your business till the time you don’t look for optimization. Always do an audit in 2 months and evaluate your cloud computation to optimize. Do some experiment with infra because you should not spend not more than 5  to 10 % of cost for cloud infra if you are completely dependent. Tools you can try : Reoptimize, Cloudyn, Orbitera etc.                                                                                 “If you are DevOps you should account the no’s.”8. Secure your infra : If your team follows certain compliances from day 1 then there is very less chance to compromise with your data and this can be easily enabled by providing a setup where you can verify your vulnerabilities. Before moving your build to the production team you may need to follow the standard at an early stage of development by using configured tools like: SonarQube, VeraCode, Codacy, CodeClimate etc.9. Tool Selection : Always select tools which all are compatible with rest of the toolchain you are planning to use. Why you should have to be so careful is because you have to capture each and every request capture. Once you are done with the tool selection, draft a tools metrics you are willing to capture or will be going to help you to debug. Start logging and monitoring them and have some clear definition for those logs so you can justify and determine that your processes are working as expected. Tools you can have a look : Nagios, Grafana, Pingdom, Monit, OpsGenie, Observium, Logstash etc.                                                                                                        Tool chain for DevOps process:                                                                             “If you are not monitoring,  you are not in the production”Conclusion:An organization that follows all the above best practices creates the right culture, which finally gets the ending it deserves i.e DevOps organization. "A good DevOps organization will free up developers to focus on doing what they do best: write software," says Rob Steward, Vice President of product development at Progress Software. "DevOps should take away the work and worry involved in deploying, securing and running the software once it is written."
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Best Practices For Successful Implementation Of De...

What is DevOps?DevOps is nothing but the combinati... Read More

Is DevOps Certification Worth It?

IT certifications have always served as the benchmark for assessing professionals’ ability to exploit technology and offer something which proves that the candidates are proficient with the required skills in the workplace. However, many such certifications are available and it’s hard to measure the softer, less-tangible skills that managers require with such certifications. In this article, we’ll look at one such certification—DevOps—in detail. Subjective Assessment The ‘idea’ of best practices varies from from one organisation to another and finding ‘one right answer’ to the question is not easy. You need to factor in things like how would the candidate design, create, deploy, and integrate the tools? What about security? Resource allocation and value? Agile, and DevOps are niche areas that deal with continuous delivery. Since the space is yet to be clearly defined, certifications become more than just a necessity as they can help differentiate candidates in the industry by not just measuring technical competency but showing the candidate’s approach to addressing issues and problem solving. These certifications can also be used to represent your point of view. New views and definitions are developing every single day within these frameworks, and a certification serves as a proof that you know exactly which approach you take while solving different customer issues. The skills and tools developed using Agile and DevOps foundation are much broader than just one specific process or technology. In order to measure the capability of a candidate in these areas, you need to know whether they’re comfortable working with more than one technology and that’s exactly what a DevOps certification is trying to address. Earning a DevOps certification demonstrates that you as an individual have gained a thorough understanding of concepts and skills like communication and management. It’s not easy to measure these skills even when the candidate has such a certification. Employers leave no stones unturned to ensure the validity of this certification and they do extensive research on the certification authority too as that’s the only way of ensuring that they get the results they’re looking for. So, make sure you’re taking this course from an institution that has the authority to certify DevOps. How To Choose The Right Institution? The certifying body needs to produce learning materials and a body of knowledge showing their own approaches to framework and topics related to DevOps. This is necessary so that candidates have a clear understanding of ‘how’ and ‘why’ of the best practices on which they’ll eventually be assessed on. For the past 20-30 years, IT certifications have mostly been about taking an exam. However, with DevOps, things don’t work in the same way. A lot of emphasis is laid on courseware delivery, content, and most importantly on training. Apart from teaching material, candidates also should learn how to use that knowledge in real-world situations. They should be assessed on real time based scenarios, with a given set of facts and a specific technology. DevOps-like certifications are difficult to design and develop, but these offer a deeper understanding of the candidate’s potential. Getting a DevOps certification is a great way to get a much-needed competitive edge over your peers in the IT hiring market. Experienced workers are scarce in this area and the best thing to do for any manager will be to get a DevOps certification. However, make sure that you choose the right institution in order to truly reap the benefits of the same.
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Is DevOps Certification Worth It?

IT certifications have always served as the benchm... Read More