Author: Tobi Knaup

  • DevSecOps Provides a Modern Security Model for Modernization

    DevSecOps Provides a Modern Security Model for Modernization

    Developers and security experts are now tasked with bolstering, extending and adjusting cloud and Kubernetes security to protect against cyberattacks that are ever more complex, volatile, and frequent. To foil attacks and create a secure foundation for applications and infrastructure from the beginning, DevSecOps (development, security and operations) has become the trending development and operations practice. In the DevSecOps model, security becomes a shared responsibility. Thus, DevSecOps requires a mindset shift to enable collaboration between development, security and operations teams. This shift, commonly referred to as shift left, involves culture, processes and tools. With DevSecOps, whether it’s testing for security vulnerabilities or building security services that can be used directly for business purposes, the goal for all participants is to build security into applications from the start and throughout the continuous integration and continuous delivery (CI/CD) workflow of DevOps.

    DevSecOps to the Rescue

    In the past, security considerations and practices were often introduced at the end of the development cycle by a separate security team and tested by a separate (QA) team. This was manageable when software updates were released every few months or even years. But in today’s landscape, consumer habits and expectations are shaped by smartphones and digital commerce, which has fueled the demand for software services that are real-time and available 24/7. This requires modern enterprises to find ways to improve the efficiency of application developments, releases, and updates.

    Because of these factors, enterprises realize that security can no longer be a small part of an afterthought in the production environment. The purpose of DevSecOps is to ensure that through collaboration, security can be carried through to every point in the development cycle. This enables teams and enterprises to deliver secure, high-quality applications in a more efficient manner without extensive security checks and fixes occurring during post-production.

    To meet these more extreme demands, cloud computing, containers, and microservices have made it possible to accelerate the development and delivery of software releases. Developers adopting agile and DevOps practices can reduce software development cycles to days and weeks, thus meeting the diverse needs of enterprises and users.

    This fast-paced development and upgrade frequency has created new security concerns and the need for companies to be more agile in responding to security issues. DevSecOps has been introduced into the DevOps framework to meet these needs by make security a shared responsibility. Today, continuous testing and integration, including security scanning of pipelines, is becoming the norm.

    DevSecOps Business Benefits

    In principle, DevSecOps shares the DevOps ideal of multiple teams working together to improve team efficiency and achieve secure, continuous software delivery.

    In addition to the security benefits DevSecOps provides, there are significant business advantages to be gained, including:
    ● Efficiency–Under the DevSecOps practice, security is integrated into all periods of development to help all teams be more agile in responding to security risks, eliminating the need for teams to spend a lot of time tweaking and fixing during the production cycle.
    ● Cost reduction–By discovering security vulnerabilities before they enter production, organizations and teams can significantly reduce the time and labor costs of fixing them.
    ● Ensure compliance–DevSecOps can ensure compliance with industry-standard regulations, such as the General Data Protection Regulation (GDPR). DevSecOps gives teams a holistic overview of these measures that makes compliance easier.
    ● Establishes collaborative culture–Integrating security practices into DevOps enhances the value of DevOps and improves the overall security posture as a culture of shared responsibility. When everyone is involved in the process, it increases their awareness of security fundamentals and best practices and provides a sense of ownership in the results.

    Meeting New DevOps Challenges

    Kubernetes offers many advantages but also poses unique security challenges that can be difficult to address for organizations lacking in Kubernetes talent and experience. This is why organizations will increasingly see the need to reevaluate their security practices and prioritize a more advanced security-focused culture.

    Because DevSecOps requires security to be addressed throughout all development stages, it requires developers to have security expertise while coding and operating. We are currently seeing a growing skills gap in the DevOps industry, and developers are feeling burned out. Security training is a way for teams adopting DevSecOps to acquire additional knowledge.

    Deploying Kubernetes platforms with security built in by default also will be recognized as a means to reduce the burden of security on IT teams. This will reduce the pressure and burnout on all sides.

    Platform Engineering Provides Additional Help

    With the rapid development of Kubernetes and cloud-native applications, organizations are realizing the inadequacies of their IT teams to leverage DevOps practices. Just as platform engineering eases the burden of DevOps by providing an Internal Development Platform (IDP) that serves as a “golden path” for developers, an IDP can simplify the practice of DevSecOps.

    We’ve seen that a DevOps workload is difficult to practice in small and medium-sized enterprises, as well as in large enterprises that lack sufficient talent. The gradually accumulated cognitive load ultimately leads to a less agile and efficient collaboration between teams. Given these issues, more organizations will adopt platform engineering as a better alternative.

  • Challenges with the Rapid Adoption of Cloud-Native Technologies

    Challenges with the Rapid Adoption of Cloud-Native Technologies

    To keep pace with the ever-changing digital landscape, today’s enterprises are trying to move to the cloud as fast as possible. As more and more companies move toward implementing cloud native and open source technologies to enable agility and increased time-to-value, the operational impacts to the business can be significant. While these challenges can cause serious setbacks and complexity, if an organization addresses them from the very beginning as part of its cloud strategy, it can overcome any trial.

    The following are top challenges enterprises may face when rapidly adopting cloud native technologies. 

    Intense Competition and Market Pressure

    As businesses fight to keep their competitive edge, they are feeling significant pressure to adopt new initiatives to achieve greater business velocity. New initiatives such as data analytics, data science and cloud computing are being leveraged by organizations to gain an advantage while disrupting how businesses have traditionally been performed. 

    Lack of Maturity and Interoperability of Many Open Source Technologies

    Understanding the cloud landscape is a critical component for kicking off any digital transformation project, but the state of each technology varies significantly. Because so many of these technologies are open source, getting a true understanding of maturity can be challenging. Some solutions are in very early stages with low commercial adoption and support, while other solutions are at a later stage and much more mature.

    Unfortunately, most of these technologies were not built to ensure interoperability from the beginning and the efforts of jamming together multiple disparate solutions from the cloud native landscape is complex and rife with challenges. This is why it is imperative that modern organizations ensure its solutions are enterprise-grade, ready to scale and nearly fool-proof to challenges. 

    No Clear Best Practices or Architectural Standards

    Because many of these new technologies lack maturity, the right information and proper documentation is scattered and difficult to distill. How can developers trust if an application is safe to include in their implementation if they are unsure whether documentation is correct and up-to-date? Since many of these open source technologies do not have well-defined best practices or architectural standards, implementing these solutions can be a huge business risk.

    Limited Choices for Leveraging External Domain Expertise and Support

    In order to ensure that organizations’  Day 2 operations go smoothly, they need the right expertise to provide guidance and support. Unfortunately, because so many of these technologies are new, there is a very limited pool of talent—both internally and externally—organizations can pull from. Organizations need the right technical support and services to operate and scale effectively, and with limited options available, the complexities of long term success can be a huge barrier.

    The Complexity of Managing Ongoing Operations

    Implementation is just the beginning, what really enables businesses to be successful with any digital transformation initiative is tackling ongoing Day 2 operations. This means ensuring that technologies work well together, the team understands how to leverage the technologies and organizations have an operational readiness plan for continued development and ongoing improvement. So many businesses focus their attention on what happens before production and as a result, success is not always achieved. 

    When beginning a cloud native journey, enterprises must be conscious of the inherent challenges rapid adoption poses. Competition, lack of maturity and best practices, limited choices and complexity can all complicate an enterprise’s journey to the cloud. Awareness of potential problems can help stop issues before they arise while easing the transition to the cloud.

    — Tobi Knaup