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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."
Best Practices For Successful Implementation Of DevOps
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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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Best Practices For Successful Implementation Of De...

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

Facts And Facets Of Agility and DevOps Assessment In Organizations

The fast and developing organizations are now mostly on Agile wheels! Even some of the biggest corporate giants have realized that “Agile begets Agile” and have kept no stone unturned to achieve complete agility. The first and possibly the biggest milestone was integrating DevOps into the Agile fabric to fully utilize the values of both the technologies. Yet, for the longest time, there existed innumerable constraints that were weighing down these Agile teams.  They finally understood that the first big step to attain speed, performance and synergy in Agile projects was a proper Agility Assessment. This was the foundation and the very basic formula that kept an Agile team up and running.    Gauge Your Continuous Deployment Maturity and Assessment now available https://t.co/GlTB870y4m via @forrester #DevOps #ContinuousDeployment #Agile — Robert Stroud CGEIT CRISC (@RobertEStroud) 11 December 2017 What is the purpose of assessment? The primary aim of assessment is to understand the current state of agility in delivering working software in the organization at all levels. Agile Coach will work with you to develop a shared understanding of conditions, strengths, and weaknesses in relevant technology and business areas, including organizational arrangements and processes, leadership and management, teams, Agile implementation readiness, infrastructure, and other areas. Assessment is based on interviews with key stakeholders, survey tools, review of documentation and records, published guidelines, wiki sites, and so on. Agile Coach will observe teams in action and inspect code assets and artifacts as appropriate. The primary objective of assessment is to develop an understanding of where the organization stands with Agile implementation strategy and recommendations which could help them in getting better. Assessment readout is a collaborative activity facilitated by Agile Coach in which your leadership and key stakeholders develop a shared understanding and ownership of the transformation program.   What shall be done as part of assessing the Organization Agility and DevOps? The outcomes of Agility and DevOps assessment are as follows: Initial findings, observations, major risks or impediments, and recommendations for an Agile transformation backlog, including the following topics: Team design Tool use (e.g., Jira) Workflow recommendations for Kanban, Lean Startup, or Scrum Backlog items for improving the organization Agility and DevOps practices Recommended metrics and key performance indicators appropriate to inspect, adapt and monitor ongoing improvements. Areas and Process of Assessment Leadership Schedule a meeting with the IT leadership team to introduce the team, discuss the outcomes, and initiate a process of Assessment. Discuss the various aspects of Agile transformation such as- What are the business drivers for Agile transformation? What are the priorities? What is the level of support? How involved will each leader be in the transformation? Who will lead and who will support? What risks does leadership foresee and how might those risks be mitigated? How is the alignment between IT and business? How does IT communicate with other business units? What are the leadership styles being exhibited in the organization and its impact? Organization Design and Policies Schedule a meeting with those responsible for managing people to visually depict roles and responsibilities, reporting structures, assignments, and team organization (composition, location, and number). Here are a few points to consider- How are teams created, modified, and directed? What is the organizational or management culture? An organization chart for IT and its business stakeholders, with names, managers, and roles Some of the organization policies Product Management Schedule a meeting with product management or product ownership to discuss the value delivered to Client: Product visions, roadmaps, and release goals and plans in the next year Budgeting Requirements gathering Who are the business stakeholders? What are the products, services, or user experiences delivered by IT? What are their product visions, roadmaps, and release goals and plans? Visually depict how requirements flow into IT. Delivery Schedule a meeting with program and project management and have clarity on the following points- How do requests or ideas turn into projects? How are projects prioritized, funded, and assigned to teams? What governance or lifecycle requirements do projects have? Is any work capitalized? How is software quality maintained? How is process governed? What compliance is required? How are deliverables, schedules, and milestones managed? What does IT deliver iteratively? How long are the iterations? What does IT deliver on demand? How long is the required lead time? High-level service description—the big picture view of the results of IT’s work Effectiveness of different roles being performed in the teams Product Engineering Schedule a meeting with system and application architects to visually depict APIs, integration points, platforms, source control systems, and technologies used by IT. Below is a rundown of the essentials to take care of- A list of technologies (programming languages, software stacks, databases, major 3rd-party components, etc.) Major code bases and tools Delivery pipeline and release frequency Release-level manual testing timeframes, participants, and strategies Automated testing frameworks, environments, and data Automated build practices and frequency Branch and merge practices An additional agenda item for this meeting will be determining the feasibility of collecting the following data: The number of unit, integration, acceptance, UI, and performance tests and what percentage of each type is automated Code coverage and any other static or dynamic codebase metrics The number of open defects categorized by severity and whether they are post-release (i.e., end user impacts) The time it takes to create and deploy a full build in a separate test environment The percentage of release time spent on integration, regression, stabilization, performance, load, and security testing, etc. A list of tools for automation, build, coding, defect tracking, design, requirements, source control, testing, etc. Arrange one or more sessions with representative teams. Include developers, testers, technical writers, usability engineers, architects, analysts, business people—whoever is involved in delivery. The outcome will be a visually depicted interview providing context for the team’s areas of pain, pleasure, and desired change. Assessment Readout Schedule a discussion with leadership after collecting the data to provide the details on what was done as part of the assessment and a set of recommendations which would help in improving the organization Agility and DevOps practices.  Takeaway  That fairly brings us to the end of Agility assessment, combined with DevOps assessment in Agile teams. Together, Agile and DevOps can work wonders in organizations, only if supported by proper assessment techniques. The role of the Agile leaders in such evaluative processes is crucial. They should familiarize themselves with all the key processes in Agile and DevOps assessment and spearhead their teams efficiently. 
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Facts And Facets Of Agility and DevOps Assessment ...

The fast and developing organizations are now most... Read More

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. We provide Devops Certification training, to check out the schedule click here
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DevOps & Automation- Advantages Of DevOps

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

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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DevOps, Digital & Cloud

In the modern world, the time available to produce... Read More

Making DevOps Applicable For You

In summary, DevOps is a philosophy of software development that focuses on meeting business requirements quickly and efficiently. It helps shorten time to value and in so doing helps create a more responsive organization. It multiplies the value from investments in cloud and encourages automation of key processes for better outcomes. All of which makes it highly suitable to cost constrained organizations that must deliver improvements to their current services and products while taking advantage of the opportunities presented by new digital and data-driven technologies. However, the advantages of the DevOps helping for organizations in large scale.  The long-term cost reductions are substantial, but the initial investment can be high. Although automation delivers a strong return on initial investment of time and resources, it does take longer to complete this initial automation of a task that it does to perform the same task manually. Maintaining the DevOps approach will also require specific technical skills to be build up, managed and retained by the implementation organization as well as the client organization. So, how do you make sure that the adoption of the DevOps approach works for your organization? The following can be those critical factors. Senior management buy-in As with all change projects, success is in part dependent on having committed leaders at senior leadership levels; in this case the CIO, CTO or the chief architect (and even the enterprise architect of the client organization) who can deliver technical and cultural changes. They are responsible for making sure the focus remains on breaking down the barriers between development and operations and ensuring the approach is designed around this core principle. They need to make sure that close collaboration between developers, system operators and testers is maintained and that open lines of communication with business users and service commissioners remain intact. Understand the demands of digital transformation It is important to understand the demands of digital transformation and balance it with the rigour of ITIL. At present, only about 5% of services of organizations are driven by technologies that are digital by design. Applying DevOps to these technologies is relatively straightforward. But mission-critical platforms on physical or virtual servers are a different question altogether.  An iterative approach to migrating these applications to the cloud, taking small steps to transformation and applying DevOps one step at a time requires not just digital skills but the depth of understanding residing in experienced IT managers. Need for security, compliance and governance It is important to ensure that testing and security are built into the automated processes of the implementing organization. Those processes must stay true to ITIL standards for security testing and compliance checking. Even at this pace software can only be put into production when it has no vulnerabilities that can corrupt sensitive information.  DevOps does not replace the need for quality assurance, software testing or data validation before and after a software release. Hence it is important to get the QA practices with regards to automated testing for security, performance and code check-ins and check-outs in top shape. Work with the right people Some IT services service providers are great at automation or at building digital services. Bringing them together is the key. This means that IT practitioners who already have wide experience of delivering systems under the DevOps umbrella and are prepared to share best practice and ensure effective knowledge transfer are a key part of the team. So are leaders with expertise in automating business and management processes and have a well defined and tested set of tools to support their work.  It is important for client organizations to look for service providers with real, in-depth experience of open technologies, domain expertise and cloud-based solutions and with the necessary hands-on experience in designing, building, migrating, supporting and operating scalable and robust systems for their customers.  
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Making DevOps Applicable For You

In summary, DevOps is a philosophy of software dev... Read More

INFOGRAPHIC: How DevOps Is Helping Organizations Remodel In 2017

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