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Can DevOps And Scaled Agile Models coexist?

DevOPs, is a perfect blend of Software DEVelopment and Information Technology OPerationS. This term is used to refer to a set of practices that highlights the collaboration and conveyance of both software developers and Information Technology people, while automating the software delivery process and performing changes in infrastructure. The aim behind DevOPs is to provide the environment which can help in coding, testing and deploying the software, rapidly and more reliably. Agile and DevOPs are similar concepts. Agile represents some changes in imagining and practicing what is best for organizational change, whereas DevOps places more importance on implementing the organizational changes to perceive its goals. Due to the increasing popularity of the Agile Software Development, the need to introduce DevOPs has escalated. This has led to a cooperation in software delivery, as there are increased number of releases. If DevOps practices are adapting the Agile methodology, it will contribute to an increased organizational profit. Ultimately, it will be beneficial if Agile and DevOps go hand in hand, to maximize the outcome for the organization. However, everyone should be aware of the fact that the software is being created first and ranked by the developers. The success of the implementation of this software  depends entirely on the use of the software. Let’s have a look on some well-known models: SAFe (Scaled Agile Framework) Scaled Agile Framework is the Agile Software Framework, designed by Scaled Agile, Inc. It consists of a knowledge base of combined patterns, which forms the Enterprise-Scale and Lean-Agile development. SAFe aims at the collaboration of both software and systems development and delivery, for increased number of Agile teams. SAFe is mainly about helping the customers to solve their most challenging scaling problems. SAFe uses 3 primary bodies to maximize the advantage. These are: Agile development, Lean product development, and systems thinking. You can say that there are two aspects of SAFe are: the DevOps team and the System team. The System team is more centered around the development side activities like Continuous Integration and test automation, while  the DevOps team focuses on the features which will be useful for deployment and the automation of the process. DAD (Disciplined Agile Delivery): The focus of DAD is more on the processes. DAD is the decision framework process that enables decisions on incremental and iterative solution delivery. DAD has been known as the “movement beyond the scrum”,which is described in the book written by Scott Ambler and Mark Lines. The DAD framework provides a mechanism to construct smoothly working of IT processes and helps in Scaling. LESS (Large Scale Scrum): In LESS, DevOps is not called in the detailed manner, but it is covered by Technical Excellence. Technical Excellence is the way of  making changes to the product in a simple, rapid and flexible way,also called Technical Agility. LESS has a ‘less’ focus on explicitly describing how to use the process and at what time.  So, it is upto you to assign the work at the right time to the right person. It is therefore highly recommendable that the organizations use the combination  of ‘Explicit Structure of SAFe principles’ and the ‘ideas of LESS’ to create a framework. This will definitely create more profit in your Organizations.
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Can DevOps And Scaled Agile Models coexist?

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Can DevOps And Scaled Agile Models coexist?

DevOPs, is a perfect blend of Software DEVelopment and Information Technology OPerationS. This term is used to refer to a set of practices that highlights the collaboration and conveyance of both software developers and Information Technology people, while automating the software delivery process and performing changes in infrastructure. The aim behind DevOPs is to provide the environment which can help in coding, testing and deploying the software, rapidly and more reliably.

Agile and DevOPs are similar concepts. Agile represents some changes in imagining and practicing what is best for organizational change, whereas DevOps places more importance on implementing the organizational changes to perceive its goals. Due to the increasing popularity of the Agile Software Development, the need to introduce DevOPs has escalated. This has led to a cooperation in software delivery, as there are increased number of releases.

If DevOps practices are adapting the Agile methodology, it will contribute to an increased organizational profit. Ultimately, it will be beneficial if Agile and DevOps go hand in hand, to maximize the outcome for the organization. However, everyone should be aware of the fact that the software is being created first and ranked by the developers. The success of the implementation of this software  depends entirely on the use of the software.

Let’s have a look on some well-known models:

SAFe (Scaled Agile Framework)

Scaled Agile Framework is the Agile Software Framework, designed by Scaled Agile, Inc. It consists of a knowledge base of combined patterns, which forms the Enterprise-Scale and Lean-Agile development. SAFe aims at the collaboration of both software and systems development and delivery, for increased number of Agile teams. SAFe is mainly about helping the customers to solve their most challenging scaling problems. SAFe uses 3 primary bodies to maximize the advantage. These are: Agile development, Lean product development, and systems thinking. You can say that there are two aspects of SAFe are: the DevOps team and the System team. The System team is more centered around the development side activities like Continuous Integration and test automation, while  the DevOps team focuses on the features which will be useful for deployment and the automation of the process.

DAD (Disciplined Agile Delivery):

The focus of DAD is more on the processes. DAD is the decision framework process that enables decisions on incremental and iterative solution delivery. DAD has been known as the movement beyond the scrum,which is described in the book written by Scott Ambler and Mark Lines. The DAD framework provides a mechanism to construct smoothly working of IT processes and helps in Scaling.

LESS (Large Scale Scrum):

In LESS, DevOps is not called in the detailed manner, but it is covered by Technical Excellence. Technical Excellence is the way of  making changes to the product in a simple, rapid and flexible way,also called Technical Agility. LESS has a ‘less’ focus on explicitly describing how to use the process and at what time.  So, it is upto you to assign the work at the right time to the right person.

It is therefore highly recommendable that the organizations use the combination  of ‘Explicit Structure of SAFe principles’ and the ‘ideas of LESS’ to create a framework. This will definitely create more profit in your Organizations.

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1 comments

Kajal Mehra 10 Jul 2018

Very interesting blog post.Quite informative and very helpful

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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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DevOps, Digital & Cloud

In the modern world, the time available to produce new software, develop new products or to release new updates of existing solutions is reducing rapidly. This has resulted in IT services or product development organizations to be more responsive to change and thereby assisting business entities to be more receptive to change as well. The Devops philosophy was born from this need to create a way of working that would enable a more agile and responsive organization. An effective DevOps operation helps reduce the time between concept and cash. In other words, it shortens the time required to create value from new or innovative solution ideas. Good engineering practices centered on good DevOps practices help organizations meet these demands. If above sounds familiar, that is purely because these are also the key drivers behind any organization’s cloud strategy. In addition to time constraints, the modern day IT organizations face budget constraints and financial or non-financial resource constraints. This creates a need for a more flexible hardware environment, in which computational power can be ‘spun up’ in response to operational, development or testing demands and then spun down again when no longer needed. High valued resources can thus be saved through on-demand meticulous planning and utilization of such assets. Amazon Web Services (AWS) is subsidiary of Amazon.com that provides on-demand cloud computing platforms for individuals, organizations and governments. It is a very secure cloud services platform with high computational power, massive and scalable database storage, bandwidth, content publishing and delivery platform with monitoring support. AWS cloud platforms provide pay-as-you go features to organizations thus allowing them to customize the use of cloud resources as per their requirement. This provides organizations the flexibility to select and utilize resources as per their technical, financial and management capabilities. The DevOps philosophy has a symbiotic relationship with cloud-enabled solutions. A cloud environment, whether private or increasingly public is an essential feature of Devops. An agile approach to development requires an agile IT infrastructure to deliver the responsive services that the organization demands. Thus AWS cloud management capability is an essential skill organizations would look to develop and utilize in delivering high valued products fast. On the other hand, a cloud strategy will often not deliver the benefits outlined in its original use case in scenarios where DevOps is not used. Organizations often find that the cost savings promised by a utility model of renting computational power when it is needed often disappear in the face of traditional development schedules and delays. DevOps multiplies the value of the cloud and vice versa. A well-defined DevOps practice with a well laid cloud services platform will enable organizations to quickly get servers up and running. It will enable them to deploy secure backup or failover cluster servers to rely on in case of a disaster. The applications can be securely and quickly be deployed to cloud environments with a fully automated process through DevOps. In conclusion, DevOps and SysOps are here to stay. May it be web or mobile and in deploying on any device or platform, using any architecture, the possibilities for high value products is endless. So, it is up to organizations to use these wisely. We provide Devops training, to check out the schedule click here  
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