From Spaghetti Applications to Structured and Scalable Architecture: 3 Best Practices to Follow
January 18, 2022

Sashank Purighalla
BOS Framework

In today's hyper-digital world, organizations and their developers are having to deliver faster go-to-market innovations than ever, which can mean siloed applications and rising integration challenges — otherwise known as spaghetti architecture — instead of stable and resilient ecosystems.

Spaghetti architecture is an information technology problem that hinders businesses’ ability to rapidly transform applications and data to meet ever-changing requirements. Therefore, organizations should consider incorporating DevOps and Site Reliability Engineering (SRE) best practices as architectural philosophy in their DNA — rather than checklist items — to create resilient and scalable architecture.

While it is extremely important to build each application with all the right security constructs, it is far easier to build a secure individual application than an entire ecosystem with multiple applications. Therefore, vulnerabilities invariably exist in between systems that must interoperate. Incorporating best practices is a mechanism to systemically increase the resilience of ecosystems that power businesses.

IT professionals must therefore recognize that best practices are not piecemeal; they reduce risk when applied appropriately together in an architectural paradigm with a holistic approach to drive security, reliability, scalability, and maintainability.

So, what are the three best practices, and how can companies implement these to streamline processes at the application and ecosystem level?

1. Distributed Applications and Data

Breaking large, monolithic systems into smaller elements or units — a design principle known as separation of concerns (SoC) — immediately reduces the blast radius and susceptibility to ransomware attacks.

A database broken into smaller units, like in healthcare, could involve separating protected health information (PHI) and personally identifiable information (PII) so that this sensitive data becomes anonymized. The anonymity ensures a higher level of security since the data cannot be compromised. Plus, the setup becomes far more reliable because only a portion of the system would be down at any one time, rather than the entire monolithic system.

Distributed systems also mean that smaller IT teams can build individual units using the technology of their choice, based on specific standards. The smaller units can be scaled individually by being deployed on commodity hardware to get the greatest amount of useful computation at a low cost.

The smaller units become highly maintainable since the distributed teams have their own independent development executives. Maintainability is an underappreciated item, especially in the developer community, because many are thinking about how to build a system in the first place instead of how it will perform over time.

When we talk about distributed systems today, you’ll see that microservices architecture and going serverless are the most popular implementations, with the serverless market set to grow to $21.9 billion by 2025.

2. Network Isolation Control and Principle of Least Privilege

Securing distributed systems involves segmenting functional servers or resources into separate virtual networks with distinct levels of trust and access controls. This is a mechanism to control potential damage in case of a security breach too. Most cloud providers offer native capabilities to create such network silos (or zones), including the two most deployed, Virtual Network (VNet) from Azure and Virtual Private Cloud (VPC) from AWS.

It is vital to ensure that the connection between your isolated networks is not persistent but transient — and based on the Principle of Least Privilege — with an appropriate type of authentication and authorization protocol (OAuth 2.0 based OpenID Connect or SAML) used at the application and infrastructure level.

Having data on separate virtual networks ensures reliability, scalability, and security due to their load balancers, auto-scale factors, and caching. This, in turn, helps with geographic redundancy and backups to guarantee that, even when disasters happen, critical applications remain available. Implementing automation and very strong DevSecOps would be essential to keep this a maintainable best practice.

3. Visibility, Observability and Traceability

How can you secure something unless it is visible? CIOs should constantly be on top of how many applications, servers, and databases they have running, and have an idea of the health metrics associated with each of these.

You may be wondering how you gain access to this overview. Instead of disrupting engineers’ and developers’ workflows, look to automation platforms and DevSecOps professionals to deliver tech-enabled business outcomes.

By having advanced observability across cloud-native environments, cross-functional teams have access to the right level of logging, alerting, and monitoring to better understand complex distributed systems. Every compliance authority requires access controls from logging but, more importantly, it helps companies have an overview of and updates about system health, incident response, and threat detection.

Furthermore, infrastructure monitoring tools detect and debug performance issues by analyzing application metrics, traces, logs, and user experience data.

Traceability ultimately means that the smaller distributed systems can be put back together accurately. If something fails, developers would be able to trace it back and determine what caused the outage, breach, or hardware failure. This allows businesses to scale freely, without the worry that they’ll be caught out in the future.

Final Takeaway

The challenge that companies face is that developers are not natively trained on these aspects of best practices. As much as organizations and technology leaders are aware of this responsibility, incorporating best practices still seems an afterthought (especially when you have multiple legacy systems).

Every application in the ecosystem has to be built in a sustainable, secure, scalable, and reliable way — a holistic architecture — which can only be achieved if best practices are seen as a cohesive whole rather than checklist items. You cannot retrofit a tool into a systemic gap to bring about security and integration — that would leave you with spaghetti applications.

Sashank Purighalla is CEO and Founder of BOS Framework
Share this

Industry News

November 20, 2024

Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.

November 20, 2024

The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:

November 20, 2024

Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.

November 20, 2024

Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.

November 19, 2024

OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.

November 19, 2024

Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.

November 19, 2024

Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.

November 19, 2024

Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.

November 19, 2024

Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.

November 19, 2024

Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.

November 19, 2024

Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.

November 18, 2024

MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.

November 18, 2024

Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.

Read the full news on APMdigest

November 18, 2024

Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.

November 18, 2024

Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.