How to Make DevOps Pipelines More Secured?

How to Make DevOps Pipelines More Secured

Measures for continuous growth of an organization are imperative for successful business execution. Besides core DevOps, where these measurements are already uplifted, monitoring of the pipeline is also necessary; this does not merely include tool-based assistance to gear up processes, in fact, DevOps itself does not mark it as necessary. Instead, understanding the human needs of the security team, going through their workflow to grasp the limitations and pressures they endure, helps in securing the DevOps pipelines.

Additionally, explaining how a deployment pipeline works and what controls are in place — such as ensuring functional adherence performance and reliability; describing how these controls are visible to everyone and how the pipe stops when problems are found, can further enhance utility and security.

Therefore, it’s essential not only to secure the application and its runtime environment but continually enhance and secure the delivery toolchain and the build and test environments which are also equally important. Confidence should be boosted concerning the integrity of delivery and the chain of custody, not just for securing compliance for enhancing security, but also to ensure that necessary changes are made safely.

A continuous delivery toolchain is also a potential target of attacks: it becomes vulnerable in providing a clear path for making changes and pushing them automatically into production. If the toolchain is compromised, attackers have an easy way into the development, test, and production environments.

From stealing data or intellectual property to injecting malware anywhere into the environment, the attack can bring it all down. It even, in a sense, cripples the organization’s ability to respond to an attack by shutting down the pipeline itself. Thus, continuous delivery and continuous deployment effectively extend the attack surface of a production system to the build and automated test and deployment environment.

It is thus imperative to safeguard the pipeline against such attacks. But, the measure is not limited here, one also needs to protect the pipe from insider attacks by ensuring that all changes are fully transparent and traceable from end to end. Advanced automated steps mean that an informed insider cannot make a move without being detected and that they cannot bypass any checks or validations.

As the initial step, a threat model on the continuous delivery pipeline should be formed. Spotting weaknesses in the setup and controls, and loopholes in auditing or logging. After this, the following steps to secure the configuration management environment and the continuous Delivery pipeline must be taken:

• Strengthening the systems that host the source and build artifact repositories, the continuous integration and continuous delivery server/s, and the systems that host the configuration management, build, deployment, and release tools. Having absolute knowledge of what is done on premises and what is in the cloud helps in clearly understanding the environment potential and gain better control.

• Strengthening the continuous integration and continuous delivery servers by continuing to update the tools and plugins, and testing considering that simple tools like Jenkins are designed for developer convenience and are not secure by default.

• Configuration management tools are at the core that manifest system management. These need to be securely encrypted, locked down, and hardened for enhanced security.

• Often sensitive information such as keys, credentials, and other secrets are saved here and there. Such potential data must on a regular basis be taken out of scripts, source code, and plain-text files, and an audit must be performed through secure managers such as Chef Vault, Square’s KeyWhiz, etc.

• Securing access to the source and binary repositories, and auditing access to them.

• Implementing access control across the entire toolchain and disallowing anonymous or shared access to the repos, the continuous integration server, or the confirmation manager.

• Changing the build steps to sign binaries and other build artifacts to secure against tampering.

• Periodically reviewing logs to ensure that they are complete and tracing a change through from start to finish. Also, ensuring that the records are immutable and cannot be erased or forged.

• Ensuring the monitoring of all these systems as part of the production environment.

Through constant monitoring and taking these management steps, the DevOps pipeline is engaged in a continuous harmony towards a more secure platform. Indeed, tool cantered measures are essential, but taking considering the workforce into consideration also calls for equal care.

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How can Artificial Intelligence and Machine Learning Help with DevOps?

How can Artificial Intelligence and Machine Learning Help with DevOps?

Artificial Intelligence (AI) and Machine Learning (ML) have both become integral parts within the world of DevOps because of their ability to help developers break free from the chains of manual labor. DevOps is all about breaking down siloed developmental walls, and there is no doubt that AI and ML can help teams achieve their goal. With the combination of both these practices, efficiency and productivity can be further enhanced by providing additional performance to businesses.

How will Artificial Intelligence and Machine Learning Drive DevOps in the Future?

AI and ML are undoubtedly the best ways to drive efficiency and growth within processes; however, they do come with their own set of problems. The idea behind the implementation of these practices is to help organizations achieve their targets; however, what’s difficult is the fact that the application of the technologies into a company’s workflow might not be as easy as it seems.

To get AL and ML up and running within your business, you’ll need creative developers, who are well versed with the nuances of the two practices. Given this knowledge, it might be preferred to state upfront that the implementation of AI and ML will initially be quite a tedious task and that the learning curve would be slower than usual.

The above does not negate the fact that DevOps developers can still gain a lot of traction by adopting the essential features of Artificial Intelligence and Machine Learning within their day to day functions.

Through the successful implementation of AI and ML, management can expect to make rapid decisions, which can significantly benefit the business and further lead to improved profitability within the company.

To add a futuristic touch to the world of DevOps, AI and ML can help manage large volumes of data and solve computational problems. AI will eventually become the sole driver to assess, compute, and ease decision making within DevOps environments.

What is Artificial Intelligence’s Influence on DevOps?

Artificial Intelligence is the changing face of DevOps; it can change the way DevOps teams develop their tools, deliver their production goals, and deploy the changes within their functions. AI can mainly help developers improve an application’s efficiency, and enhance business operations.

To understand the influence of both practices, it’s best to summarize:

Improved Data Accessibility
Within the DevOps environment, data access is a big concern. However, this issue is addressed, when AI releases critical data from its formal storage place. Through the use of AI, data can be collected from different sources and made available in a single spot, which can then further be used for different types of analysis and production uses.

Greater Ease of Implementation
AI is all about self-implementing systems; this means, the transition of processes from human run systems to mechanical systems is seamless and smooth. When it comes to assessing human efficacy, one can understand how quickly system complexity is driven out.

Effective Use of Resources
Through the use of Artificial Intelligence, resources can be managed effectively, and judiciously, wherever needed.

How can Artificial Intelligence and Machine Learning be Applied to Optimize DevOps?

Organizations have come a long way, especially when it comes to technical transformations. DevOps and its implementation is no stranger to this concept. Couple the ideas of AI and ML with your organization’s technology hierarchy, and you can rest assured that you have a winning solution on your hands.

AL can also help create complex data pipelines which feed data into app development models. By the dawn of 2020, if predictions are to be believed, AI and ML will take the lead, and digital transformation will see the launch of a new technical era. However, like the two sides of a coin, even AI and ML don’t come without their own set of issues and drawbacks. To derive maximum benefit out of a DevOps structure, a customized DevOps stack is needed.

AI and ML, as futuristic concepts, have taken over the world of technology by storm. The combination of the two languages can go a long way in ensuring a steady ROI for an organization while enhancing the working of IT operations. Efficiency can take an all-new stage, and productivity can reach another level, if DevOps, AI, and ML can be fused together into one dependent model.

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The 5 Best Practices for DevOps in the Cloud

The 5 Best Practices for DevOps in the Cloud

The Cloud is known for offering scaling and automated provisioning facilities to accommodate potential changes that can affect applications. DevOps is used for streamlining an application’s progress so that user requirements can be mapped according to the appropriate application production queues.

Even though DevOps is considered to be a helpful tool, IT Engineers tend to utilize them in the wrong way; it can be rightly said that this is just due to the lack of study and understanding in the field of DevOps. Individuals who are skilled in the nuances of the IT sector don’t necessarily understand the correct functionality of DevOps and its powers in the world of technology.

Implementation of 5 Common Practices

Rely on Security For Your Cloud
It is common that security standards are permitted to change on a regular basis in the cloud. Usually, one can integrate different types of technologies, such as identity-based security models, to enhance security within the cloud.

However, security also needs to be extended to the organization and the individual DevOps tools, which will lead to the creation of a secured cloud; this can go a long way in keeping organizational processes safe at all times.

It’s important to understand that there is never enough security. In some way, there is always another way to add an extra layer of protection without affecting the existing security structure. It is even helpful to employ a security officer, whose job focus will be on monitoring security within the DevOps process, in conjunction with the cloud.

Choose DevOps Tools That Work with Multiple Cloud Systems
Due to the integration of technology over the past three to four decades, a collection of development has led the computing and technology industry towards more advanced software development.

Today, IT specialists and engineers, along with coders, are in remarkably high demand. In fact, obtaining a qualification in these fields will almost ensure you a high profile career; however, it doesn’t come without its own set of challenges.

DevOps is quite challenging to understand; it forms a part of a much higher public cloud provider, which can be tedious to follow. It’s never a good idea to lock your process knowledge and applications on a single platform within the cloud. In fact, applications should be established on various cloud platforms for safety purposes – this way, one can ensure maximum security within both public and private clouds.

Integrate Automated Performance Testing
On many occasions, performance issues don’t get recognized in time, which causes cloud users to discover and report them after a lag in time. Since the cloud is considered to be such a large storage platform, this isn’t a sound methodology to follow. Regular performance testing is a necessary component of application design, which works towards preventing such issues from occurring.

One can enhance the production of poor-performing apps by automating and testing their performance on a regular basis. During this process, the idea is to ensure that the existing testing procedures for user interfaces and APIs are stable and accurate at all times.

Consider Using Containers
Applications can be enhanced by making use of containers, which are both well-managed and portable for your convenience – you could integrate them into the relevant DevOps or Cloud strategy to bring out the best out of each application. One can also consider making use of cluster management, security, and any orchestration tools that might prove to be advantageous to you in the long run.

Deploying containers for building applications won’t always work; however, it’s important to keep trying to garner any advantages one can gain through the use of technology.

Make Applications Cloud-Native
Use your Cloud platform and the infrastructure wisely and choose to design applications that don’t have to rely on any physical resources. Understand the efficiency involved in the deployment and overall development stages of all apps, as well as their underlying resources in the cloud. Chances are, you can improve your overall performance by 70%; this, in turn, will save your organization money as your resources will be far more efficient, thereby, allowing your organization to garner monetary savings on a monthly basis.

By implementing these five practices for DevOps in the Cloud, you’ll be able to integrate the two more efficiently, allowing for ultimate success.

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What is DevOps Consulting and Why Do You Need it?

What is DevOps Consulting and Why Do You Need it
DevOps is a complete software automation delivery process that allows software development and testing to work simultaneously at a given point in time. This software automation delivery process first started in Belgium in the year 2009.

What is DevOps all About?
In the earlier days, software development teams and IT teams found it difficult to work together, especially when it came to automating development processes. With the help of DevOps, the times have changed; both sides have become robust, allowing them to work in tandem with each other to ensure a smoother automation process.

DevOps is required to automate the processes of product development and delivery. The best part of using DevOps automation process is that it helps developers make changes in products during the development stages. It also works as a smart communication bridge between the developer and operational teams, allowing them to quickly identify any process gaps or errors, which can’t be fixed once the products are fully developed.

DevOps has been adopted by over 30% of the world’s top 2000 companies. The technical benefits of DevOps have been discussed extensively over the years. Faster development process cycle, a lower rate of failure and speedier time to market the product are some of the well-known benefits.

The overall influence of DevOps is not limited to the technical sphere of business; it is much more profound than that. DevOps helps in better employee engagement and results in high levels of job satisfaction.

Why You Need DevOps Consulting
Traditional software came with prominent differentiation between the development of software and its release details. It was the software team’s responsibility to develop the software, and IT team’s job to release the software post development.

Development of a new feature would often incur a lot of time, and naturally, the entire process would become a highly time-consuming job. Software development is a field where time is money; it was entirely necessary to come up with a smart solution that could make the entire procedure efficient and free of hassles.

Apart from such time-consuming processes, this method also breeds a culture where each team defends its interest. As an apparent result, this creates a dysfunctional relationship between the development and the operational teams, in turn leading to a generation of misunderstandings, communication problems, trust issues, and different types of collaboration problems.

The DevOps approach breaks down challenges by promoting a sense of ownership amongst all team members; this has resulted in the creation of a peaceful and satisfactory job environment for all teams involved.

The Crucial Benefits of Employing DevOps

Better Employee Engagement: It encourages a sense of ownership. Each developer is entirely responsible for their code base, from writing the first lines of code to testing and ensuring its reason. The developer is engaged throughout the development process, which leads to happier, satisfied, and well-motivated employees, which in turn has a very positive effect on the business as a whole. Such an approach provides a better learning scope for the employees.

Enhanced Efficiency: DevOps promotes complete transparency across the entire process of development. The responsibility of building high-quality code is entirely on the developers. Writing the code, testing it for bugs and adding it to the deployment pipeline is an end to end process, which is the developer’s prerogative and responsibility.

The automated testing suite forms an integral part of DevOps and plays a very crucial role. The results given by the test suite are made public across the entire team so that each member of the team can easily know whose code performance is low. Coupled with the right spirit, it helps to increase efficiency and encourages the organizations to strive for par excellence.

Enhanced Communication and Collaboration: Open communication and active collaboration form the basis of DevOps ideology. The developer’s team and ops team no longer work in silos. Team members communicate more openly and work in active collaboration with each other.

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The Future of DevSecOps

The Future of DevSecOps
2015 was the year of predictions; Gartner predicted the rise of DevOps and how it would go mainstream, only to be adopted by a series of companies. By the beginning of 2017, DevOps had indeed become the talk of the town, as more and more companies began to realize the benefits of adopting DevOps within their processes.

The adoption of new technologies is a boon for companies since they get to enhance their productivity using the procedures of DevOps. However, where do the considerations of security stand in between all of this? With a total of 64, 000 incidents and 2,300 breaches in the year 2016 (and still counting), protecting personal data has become a priority and a necessity rather than just an option.

By 2019, close to 70% of companies who are using DevOps will realize the importance of security within their development procedures and will start incorporating the practices within their DevOps foundation itself. For this very reason, even the “normal” DevOps would need to be tuned to security procedures to protect the data from being stolen or misused.

To infuse security at every step, and to remain faithful to the spirit of DevOps, security needs to be inbuilt right from the beginning of the delivery process; this would mean that companies need to embrace the very culture and philosophy of teamwork and coordination while keeping agility and shared responsibility in mind.

The Need of Security Within DevOps Procedures

Simply put, if you want to save time and money at the same time, you should employ security measures within your DevOps procedures. If the appropriate security procedures are tuned in from the beginning itself, teams can provide the necessary feedback at the initial stage, instead of waiting for the lifecycle to end.

In large organizations, last level security checks often take endless stretches of time, which causes not only a delay in rollout time but also a delay in the feedback and the resolution time; this would mean that the company would need to spend an additional amount of time waiting for the final launch of the products and services, which in turn can mean losses for the company.

Building Security Into DevOps Foundations

Understand the consequences of not having security within DevOps: Answering simple questions can go a long way in helping one understand the implications of not having the right security measures within the DevOps cycle. While cost is one major influencer, time and money come just close enough. Add reputational damage to the list, and everything will get impacted on an immediate basis.

Focus the efforts in the pain areas to make them useful: Resources should be channelized into areas which need the most attention. Consider the worst case scenarios, to understand the extent of the damages, so that the appropriate tools of remediation can be devised. This way, if you are prepared for the worst scenario, every simple yet complex security breach can be handled with utmost ease.

Provide a free hand, but don’t stop monitoring: The progress of the inclusion of security should be of utmost importance. During the inclusion process, freedom of operation should be of utmost priority. Teams should be given a free hand to perform as they please. However, this does not mean that everything goes unsupervised. Keep a strict vigil on what is right and what is not; provide feedback for rectification, wherever necessary. This way, everything goes as per plan; the teams will be happy, and security will also not be compromised.

Automating will help estimate vulnerabilities: Automation is an essential tool within the very fabric of DevOps. Not only can businesses rapidly change, but they can work more efficiently and effectively. Security should be infused within the very structure of DevOps, which means it should be effectively included within Development, QA, Operations, and infrastructure. Automate as much as possible; the lesser the human intervention, the more secure your operations would become. Consider every manual process as a security hazard and consider opportunities for automation as a pain area.

Main Obstacles During the DevOps Procedure

A difference in priorities: Security teams often don’t count as one of the DevOps stakeholders; this means that there will always be a difference in opinions, which can cause a slowdown in deployment procedures.

Setting the pace: Going at a breakneck pace during the deployment stage can upset the very essence of DevOps. While automation is an essential factor during the deployment stage, high speed should not bring the whole process down to its knees.

Maintaining a protocol: More often than not, to implement security, specific protocols would need to be changed during the building process; this might mean ruffling up a few feathers to get the required approvals. However, obtaining the needed approvals can be a challenge, especially since higher management is actively involved in the DevOps development and implementation.

Security has slowly but steadily become a keyword within the DevOps world. It has become a significant segment, which is often considered to be a substantial part of the DevOps lifecycle, and should be followed to the tee.

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Idexcel Achieves AWS DevOps Competency Status

Idexcel Achieves AWS DevOps Competency Status
Herndon, VA– May 22, 2018 – Idexcel, a professional services and technology solutions provider, announced today that it has achieved Amazon Web Services (AWS) DevOps Competency status. This designation recognizes that Idexcel provides proven technology and deep expertise to help customers implement continuous integration and continuous delivery practices or helping them automate infrastructure provisioning and management with configuration management tools on AWS.

Achieving the AWS DevOps Competency differentiates Idexcel as an AWS Partner Network (APN) member that provides specialized demonstrated technical proficiency and proven customer success with specific focus on Continuous Integration & Continuous Delivery, Monitoring, Logging, and Performance, Infrastructure as Code or Consulting. To receive the designation, APN Partners must possess deep AWS expertise and deliver solutions seamlessly on AWS.

AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise.

Idexcel’s DevOps as a Service enables agile development teams to focus on their core strengths by delivering a ‘as a service’ environment, customized for your organization’s needs. Idexcel offers proven tools, flows, environments and expertise for large and small enterprises to quickly spin up a DevOps environment for your use. We offer capabilities for enterprises to develop, build, test and deploy software across a variety of cloud environments including Amazon AWS and on-premise environments.

About Idexcel
Idexcel is a Professional Services and Technology Solutions provider specializing in Cloud Services, Application Modernization, and Data Analytics. Idexcel is proud that for more than 20 years it has provided services that implement complex technologies that are innovative, agile and successful and have provided our customers with lasting value.

Our name, “idexcel” is a representation of our core principle “Ideas to Excellence” We are relentlessly driven by results and take pride in our customer-centric engagement models. We blend our clients’ needs with proven delivery models and highly talented execution teams to deliver an exceptional customer experience.

Headquartered in Herndon, Virginia, Idexcel has offices and delivery locations in the US, Europe and Asia supporting global clients.

Learn more about us at http://www.idexcel.com

DevOps West Conference

DevOPs West Conference
Event Details: Find out how the practice of DevOps brings cross-functional stakeholders together to deliver software with greater speed and agility. Learn from industry experts how your organization can apply DevOps concepts to improve deployment frequency and time to market, reduce lead time, and more successfully deliver stable new features.

[Know more about the Conference]

About Idexcel: Idexcel is a Professional Services and Technology Solutions provider specializing in Cloud Services, Application Modernization, and Data Analytics. Idexcel is proud that for more than 20 years it has provided services that implement complex technologies that are innovative, agile and successful and have provided our customers with lasting value.

Anand Allolankandy – (Sr. Director Technical Sales & Delivery at Idexcel) will be attending this event. For further queries, please write to anand@idexcel.com

DevOps and The Cloud are the Much-Needed Pillars of Digital Transformation

DevOps and The Cloud are the Much-Needed Pillars of Digital Transformation
Digital transformation has become the new age mantra in this fast-paced tech equipped world. The Cloud has become synonymous with such modern age developments. One would ideally relate the development of the Cloud with digital transformation. However, the current situation could not be further from the truth.

To drive fast-paced changes in today’s business structures there needs to be agile IT architectures in place. These days, more or less every sector is heavily influenced by four technological components, which are social media, mobile technology, analytics, and the cloud.

On the other hand, DevOps refers to speed, quality, and adding value for money. Combine the Cloud to this mix, and you have a winner on your hands. The provisioning of applications and infrastructure is supported heavily by the Cloud, which helps balance out the duo of DevOps and the Cloud for bringing about Digital Transformation.

Successfully Merging the Cloud and DevOps
The sheer beauty of the Cloud’s relationship with DevOps lies in the inclusive relationship they share with each other. Organizations which rely heavily on operations use the Cloud’s computing services to steer their productivity and efficiency speed. Through the means of Cloud computing, developers can gain more control over their components, which often results in shorter waiting time.

By using Cloud’s tools, the process of building and managing codes, services and can eliminate human errors while driving speed and efficiency in the day to day processes. Another aspect where the Cloud comes to the forefront is in developing the ability to generate self-service methods for enabling IT in-frastructure. Since the provisioning time is eliminated, developers can try new things, create new codes, penetrate new markets easily, and launch new products with ease.

DevOps is nothing but the amalgamation of all such services, wherein the developers and the opera-tions teams work together, by using the Cloud as a common platform. By following this approach, they can learn new definitions, as well as develop various strategies at the same time. Through the regular use of Cloud services, developers and operations become more comfortable with the nuances of the Cloud’s languages, allowing them to work seamlessly with each other.

The Multiple Benefits of a DevOps Strategy
In this give and take the relationship between Operations and developers, both parties can benefit immensely. Developers can teach Operations about the various aspects of the code, while Operations can educate developers about the organization’s infrastructure. This way, both parties involved bene-fit tremendously, which translates into the organization’s growth in the long run.

The Cloud propels IT transformation through a means of advanced tools and automation, enabling companies to drive growth and efficiency throughout the different processes within their organiza-tion; it also allows the usage of DevOps processes, with an aim to aid transformation.

At the end of the day, DevOps and the Cloud can aid digital transformation in the following manners:

    • Introduce new products within the market, since development, and deployment processes are streamlined to make production releases quick with high efficiency.
    • Enhance system maintenance through automation and code induced infrastructure within the Cloud.
    • Increased levels of security, which comes as a result of automation.
    • Eliminate downtime through the use of continuous cloud-based operations in which developers can apply automation, build stateless applications, and increase business reliability. These processes im-prove the organization’s customer satisfaction in the short run and the long run simultaneously.
    • Scalability is the final reason why organizations turn towards using DevOps and the Cloud. Through scalability, organizations can reduce development costs, which are incurred in the development of global IT infrastructure.

To usher in digital transformation there is an inclusive interdependence between the Cloud and DevOps; the two can’t be performed in silos, and need to be applied together to ensure a significant degree of digital transformation.

The concept is rather simple; the more involved developers and operations continue to be with each other, the better would be the results in the future. The higher the interdependence, the stronger would be the outcome of digital transformation within the company’s policies and procedures.

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