How is Computing Security Framework
Designed

  1. With many businesses migrating to the cloud, there have been increased instances of attacks and exploitations on them. Making a more robust cloud infrastructure has become vital for smooth business activities. Computing Security frameworks are a set of best practices that help you streamline your security. This further optimizes your expenditure and helps you run a smooth business.

What is a Computing Security Framework?

Cloud Security Framework is a set of documents that outline necessary tools, configurations, cloud best practices, hazard mitigation, and other best practices. It is more comprehensive than a similarly used term called cloud compliance which caters to regulatory policies.

The necessity of Cloud Security

Though cloud security is very standard during current times. It is however essential to go beyond the average standards to ensure better performance. Further, to gain the best security, there must be individual designs for each company such designs cover every aspect that is relevant to a business. This achieves two goals; to address vulnerabilities within a business type and reduce costs. Many businesses overlook the latter, resulting in an unexpected expenditures.

How to design a computing Security Framework?

  1. It is necessary to identify the common security standards for each industry and design a minimum standard framework. Each industry has a separate standard of cloud security. This differs because every industry faces different kinds of threats. For example, a stock exchange faces front-running attacks, whereas native blockchains face “51% attacks”.
  2. The next step is to address compliance regimes that local governments or industry associations mandate. The US uses a NIST-designed framework, which consists of five critical pillars. They are:
    • Identify organizational requirements
    • Protect self-sustaining infrastructure
    • Detect security-related events
    • Respond through countermeasures
    • Recover system capabilities
  3. Next, upgrade those standard frameworks to suit threats that can make your security vulnerable. For example, businesses running wide-scale Business-2-Consumer customer service need to address DDoS attacks, which deny website access by using thousands of coordinated bot attacks.
  4. Make sure that you can manage, upgrade or make changes regularly that best suit the short-term and long-term goals of your business. This includes building sufficient infrastructure and having experts at the shortest notice.
  5. The most critical part is setting user roles. This becomes important as, during an attack, chaos ensues. Setting user roles and bringing them to speed can be done through mock drills. Many organizations also host hackathons to understand these unseen attacks and prepare for them in advance.
  6. Another uncommon and therefore overlooked aspect is the threat from insiders. This threat can be intentional or even an act of omission. Identifying the weak position in the talent pool is critical; otherwise, you will hamper your own efforts.
  7. The next step is to identify the best software, tools, web applications, and other comprehensive solutions that help recover from an attack or prevent one altogether. For example, Cloudflare helps almost all content management businesses avoid DDoS attacks. Similarly, Cisco Systems Cloudlock offers an enterprise-focused CASB solution that helps maintain data protection, threat protection, and identity security and also manages vulnerability.
  8. The next procedure is to document security threats that have been frequent and take steps to minimize them. Risk assessment and actions have to be in coordinated way to ensure smooth processes.
  9. Additionally, making a response plan is very essential in case of a security breach. Data recovery and backups help restore business activities in minimal time. Lost data can cause permanent damage to both business capabilities and reputation.
  10. Raising awareness is also crucial. Around 58% of cyber vulnerabilities in 2021 arose from human error. On average, IBM reports that each security breach costs more than $4 Million.
  11. Finally, a human-related aspect is Zero-Trust Security. This includes authentication of insider and outsider credentials who have system access. Further, these accesses and the related individuals are to be constantly validated for security access. It has to be ensured that no human has access to a system outside their authority or mandated access period.

A Brief Note on Implementation

A strategy is only as good as its implementation. Lack of effective implementation can breach even the best security frameworks. Ensuring implementation is easy when it is done on a regular basis even though the need does not arise.

Conclusion

Cloud Security Frameworks help you deal with present vulnerabilities and prepare for the future. They should be designed to fit each of the companies or businesses they are designed for. These practices help reduce costs and allocate resources where they are most needed. Finally, constant upgrades and employee awareness help these cloud security frameworks achieve the best results.

 

Learn More: Cloud Services of Metaorange Digital 

 

Cloud Optimization Issues
to Resolve in 2023

Having a cloud certainly does not ensure that you will spend less. Sometimes unforeseen expenditures and the requirement for add-on tools for various purposes can burn a hole in your pocket. Well, these requirements cannot be ignored for saving on costs. However, sometimes the organization goes for cloud optimization process to save their expenditures on regular maintenance and cloud adoption. Cloud cost challenges are daunting but they can be avoided.

One of the best ways to avoid them is to find the issues and address them at the earliest. To make it easy for you we have enlisted the issues that you should ponder and resolve in 2023. Keep reading for more!

Unable to Track Cloud Expenses – Cloud Optimization Process

Enterprises consistently face the issue of cloud sprawl. What happens when a business fails to properly monitor and assess its use of cloud computing resources?

The term describes the exponential growth of multiple clouds, cloud computing, or even cloud service providers.

Without the proper resources, how can businesses effectively oversee their cloud expenditures? When there is insufficient time-series billing data and cloud expenditure data, it is difficult to make cost-related judgments. The inability to monitor expenditures made on the cloud has serious financial implications.

Cloud Optimization Process Reservation-Based Decision Making

Businesses typically choose the reservation and savings alternatives instead of the on-demand ones because of the substantial cost savings. While this may seem to be a wonderful bargain for first cloud investment by firms, it is possible that these discounts may need to be extended for many more years. Because of this, efforts to reduce cloud costs will be slower than planned.

Different Cloud Cost Optimization Process Strategies

When trying to reduce expenses in the cloud, businesses shouldn’t focus on just one factor. That is to say, the company as a whole shouldn’t have many teams or departments responsible for overseeing cloud resources & cloud charges. When it comes to establishing new services for a company, DevOps & engineering teams usually take the lead. However, since they rely on the cost flexibility that the cloud provides to do their best work, they don’t always give cloud cost optimization the attention it deserves. However, not all businesses have someone on staff whose only responsibility is to oversee the company’s cloud strategy. Finance, business, & IT managers should work together and establish rules that are in line with budget expenses in order to properly manage cloud expenditures. After all, cloud-based forecasts of consumer spending are all that’s needed for budget approval.

Cloud Optimization Over-provisioning

Over-provisioning, in which businesses purchase more resources from the cloud than they need to serve their workloads, leads to inefficient utilization of the cloud’s resources and, in certain cases, excessive expenditure. You may reduce your dependency on over-provisioned resources by spending less on cloud services, customized monitoring, cost management tools, and rightsizing.

Complex Billing & Cloud Cost Breakdown

Oftentimes, cloud billing is too sophisticated and filled with technical jargon for the finance department to understand. If you use many cloud services or have a hybrid cloud architecture, tracking all of your cloud spendings will be much more of a hassle. Because of this, optimizing cloud costs is more difficult and prone to error. Most cloud service providers also reserve the right to alter their pricing structures at any moment. This means that the company’s cloud expenses might fluctuate widely from one month to the next, requiring frequent reviews of fresh cloud bills.

Fewer Options for Cloud Cost Optimization

Cloud cost optimization takes cues from both native cloud platforms and external cloud management technologies, such as automation and auto-scaling, to correctly size containers and instances. In the meanwhile, businesses may optimize their cloud spending and cut their cloud-related costs dramatically.

Over time, cloud optimization tools monitor inconsistencies and alert groups when unexpected spikes in expenditure on non-essential items emerge. An intuitive dashboard that shows key cost drivers in the corporate cloud and provides immediate recommendations for actions to reduce expenses is invaluable.

Conclusion

It goes without saying that any organization working with cloud computing and cloud storage cannot afford to spend the excess amount on its upkeep and operations. Therefore, the major concerning issues need to be addressed in the first place. As of now, we have learned about the issues related to cloud optimization process that should be addressed. Hope this write-up has served the purpose for you!

 

Learn More: Cloud Services of Metaorange Digital 

Transitioning from DevOps to DevSecOps
Key Tips

The transition from DevOps to DevSecOps may be difficult and complex particularly when considering the dynamic nature of software security. Because security is an ever-changing issue, the transition is an ongoing thing. As DevSecOps practices evolve, so must the tools, governance practices, and developer training. You must be mindful that it involves a complete cultural shift and thus cannot be accomplished overnight. It takes time and dedication. However, there are several tips for doing it efficiently and smoothly to make sure your firm’s a more secure future. Let’s discuss those tips to transition from DevOps to DevSecOps smoothly in this blog post.

What is DevOps?

DevOps is a software engineering method that incorporates all of the best practices for developing a software system with a strong emphasis on software security. The primary goal of DevOps is to reduce overall development time while continuously providing value to the customer. This is accomplished by removing barriers between both the teams that send the source code and the professionals that run the software. It enables one team to effectively understand the role of the other, and it encourages them to cooperate through all stages of the software development life cycle and resolve issues that occurred when these team members were basically working independently. With DevOps, it is easier to adapt to feedback and make changes. Delivery times are shorter, and implementations are more consistent. DevOps ensures that the software development procedure flows smoothly between teams.

What is DevSecOps?

In the past few years, advanced software products have evolved massively. Rather than a monolithic layout, we have microservices that interact with one another and work effectively by employing several third-party services such as APIs or databases. These apps can be run on digital operating systems known as containers, which are hosted on cloud platforms. All of these layers reveal the Software Security risks that could have serious consequences. Furthermore, the extensive infrastructure complexity, as well as the increasing speed and regularity of new releases, make it challenging for security professionals to continuously provide a protected end product.

DevSecOps solves this problem by incorporating Software Security into the DevOps methods. Instead of thinking about security only before bringing out a new feature, the DevSecOps method allows you to think about security from the start and solve problems as they arise. Security teams, like the development and processes teams of the DevOps method, participate in the collaborative process. Essentially, DevSecOps involves all team members contributing to the integration of security into the DevOps CI/CD work process. You will have a better chance of detecting and rectifying potential vulnerability issues if you incorporate security sooner in the workflow.

This is also referred to as “shifting left,” which means that developers play an important role in the Software Security procedure and fix issues in real-time rather than at the end of every release cycle. DevSecOps manages the product’s entire life cycle, from planning to implementation, and provides continuous feedback and insights.

Tips for a smooth Software Security from DevOps to DevSecOps

Now, let’s discuss the 4 major tips that make the Software Security from DevOps to DevSecOps smooth.

Develop a framework specifically for DevSecOps

Effective governance requires a Software Security framework customized to DevSecOps. The framework must define the security activities and tasks carried out across the pipeline of continuous integration/continuous development (CI/CD). Each of those activities, in turn, must have a specified KPIs or criterion, in addition to a risk-bearing that measures the development of application code in the pipeline.

The KPIs and tasks assigned may differ depending on the app’s (or microservice’s) business affect analysis rating. Security professionals can choose to use a required baseline that applies to all code and a more strict standard for important apps on top of that. This enables developers to have transparency into governance requirements, allowing them to plan and deliver more efficiently.

Cultural change

Developers can fulfill all necessary tasks and actions when DevSecOps solutions are properly implemented. Changing culture requires keeping the human element in mind. The developers will be in full control of not only running the security operations (both automated and manual) but also resolving any problems that occur. They’ll need a basic understanding of Software Security as well as the ability to develop and enforce it. In a large team, developers’ knowledge and skills will vary.

More specifically, you should promote a mindset change that fully embraces security. This is essential for reducing alert fatigue and minimizing disturbance in the CI/CD pipeline. One method, in addition to training, is to identify and promote “security champions” inside the developer team. These security leaders will become the “go-to” people for everything security. They should also foster a long-term mindset change among developers.

Create a DevSecOps Center of Excellence.

Create a center of excellence to help in the smooth transition to DevSecOps. This is a core, cross-functional team responsible for conducting research, developing best practices, and automating manual tasks. Users who have already established a DevOps center of excellence should expand it to add security. One of the team’s primary goals is to create templates for security features and tasks to make sure they are repeatable. They will also help in the fine-tuning of tooling components to minimize false positive results. With a centralized team, your procedure for reducing the risk or carrying out a task is more likely to be uniform across the organization. A DevSecOps center of excellence will also accelerate the business’s overall implementation of Software Security.

Integrate and automate security governance

You may be familiar with the “shift left” practice in DevSecOps. Bringing testing previously in the software development life cycle (SDLC), helps to improve quality and security. As more DevSecOps best practices are automated, it becomes more difficult to identify the metrics necessary (as defined by the framework) to show that compliance and security requirements are met.

As a result, a DevSecOps framework must include a method to monitor governance throughout the software Security delivery process’s life cycle. Governance automation necessitates careful monitoring of the associated tools and platform. They must adhere to the performance measures and thresholds established by the security gate. Businesses will benefit from this as it allows for quicker software delivery and improved employee confidence.

Final Thoughts

It is more crucial than ever to provide Software Security. Transitioning from DevOps to DevSecOps is now a requirement for organizations that understand the importance of security to their customers and business. Change is a difficult task with numerous challenges, but the benefits for the business outweigh the time, effort, and mental change needed.

 

Learn More: DevOps Services of Metaorange Digital

How Important Is Observability For
Modern Applications

You need to have the necessary insights into an issue in order to develop a workable solution. Because unexpected faults and malfunctions frequently occur in distributed systems. Observability in modern applications makes it possible to identify the root causes and develop workable solutions.

Operating a distributed system is challenging due to the complexity of the system as well as the unpredictable nature of failure mechanisms. The number of potential failure scenarios is growing as a result of rapid software delivery, continuous build deployments, and current cloud architectures. Regrettably, standard monitoring technologies are no longer able to assist us in overcoming these obstacles.

Modern Application Problems

The monolithic architecture was first used by IT behemoths to construct their apps since it was more practical at the time. They all encountered similar challenges and eventually concluded that they should use microservices and event-driven architecture patterns. These patterns allow for individual creation, scaling, and deployment. The speed and scalability of application delivery have grown dramatically as a result, but on the downside, managing these microservice installations has added a new level of operational complexity. Working with older technology has the advantage of only having a small number of failures. It is simpler to design these complicated systems by using application programming interfaces (APIs) to expose fundamental business functions and facilitate service-to-service communication.

These four fundamental concerns are being addressed by any business or organization that is using these microservices and API-based architectures:

  • Do the services and APIs offer the functionality for which they were created?
  • Are the APIs and services secure?
  • Do you, as a business, comprehend how people utilize APIs?
  • Are the services/APIs giving the user the best performance possible?

What Is Observability in modern applications?

The term “observability” originated from control theory. It is a branch of engineering that concentrates on automating the control of a dynamic system based on input from the system. Such as water flow through a pipe or a car’s speed across hills and valleys.

Observability is the ability to understand a complex system’s internal state or condition only based on the knowledge of its external outputs. The more visible the system is, the quicker and more precisely you can pinpoint the root cause of a performance problem without additional testing or coding.

Observability_2

Why Do We Need Observability?

APM systems collect telemetry, which includes application and system data known to be related to application performance problems, by routinely sampling it. It analyzes the telemetry in relation to key performance indicators (KPIs) and compiles the results in a dashboard. In order to notify operations and support teams of anomalous situations that need to be addressed in order to resolve or avoid difficulties.

APM systems can monitor and troubleshoot monolithic applications or conventional distributed applications. These applications issue new code regularly, and the processes and dependencies between application components, servers, and associated resources are well-known or simple to trace.

In recent days advanced development practices and cloud-native technologies are being adopted by organizations. Due to the adoption of modern applications and faster time to market. Some of the examples are Docker containers, Kubernetes, serverless functions, agile development, continuous integration, continuous deployment (CI/CD), DevOps, multiple programming languages, etc.

They are now releasing more services than ever as a result. APM’s once-a-minute data sampling, however, is unable to keep up with how frequently they are deploying new application components, in how many different places, in how many different languages, and for how vastly different amounts of time (for seconds or fractions of a second, in the case of serverless services).

Modern System Observability

How Does Observability in modern applications Work?

Application observability solutions integrate with existing instrumentation built into application and infrastructure components. They provide tools to add instrumentation to these components in order to continually identify and gather application performance telemetry. The four primary telemetry kinds, the three observability pillars of logs, metrics, traces, and dependencies are the emphasis of application observability.

  • Logs –  Engineers can use logs and other tools to create a high-fidelity, millisecond-by-millisecond record of every event that might be in binary, structured, or plain text forms, including context, so that they can “playback” the record for troubleshooting and debugging purposes. Logs are discrete, comprehensive, timestamped, and unchangeable records of application events.
  • Metrics – Metrics, also known as time-series metrics. Metrics are basic indicators of the performance of an application or system over a specified time period. Examples of metrics include how much memory or CPU a program uses over the course of five minutes. Examples of metrics also include how much latency it experiences during periods of high usage.
  • Traces – Traces record the complete traversal of every user request from the UI or mobile app. Through the fully distributed architecture and back to the user.
  • Dependencies – Dependencies, often known as dependency maps. Show how each application component depends on other apps, other components, and IT resources.

Summary

Modern application designs greatly improve scalability and resilience while streamlining the procedures for system deployment and change. DevOps teams must now more than ever achieve end-to-end observability due to the increasing complexity these systems bring.

 

Learn More: Application Modernization Services of Metaorange Digital