Best Practices & Top Solutions for Fast and Secure Application Delivery

• Build security into the SDLC from the start: Integrate security requirements, threat modeling, secure coding practices, and testing throughout the development lifecycle.
• Automate CI/CD pipelines: Use automated build, testing, deployment, and security validation processes to improve speed, consistency, and reliability.
• Shift security left with DevSecOps: Embed security controls and collaboration into development workflows so vulnerabilities are identified earlier.
• Protect applications at the edge: Deploy WAFs, DDoS protection, CDNs, and access controls to stop threats before they reach backend systems.

• Optimize application performance continuously: Monitor and improve performance metrics while ensuring security controls do not negatively impact user experience.
• Secure APIs and microservices: Apply strong authentication, authorization, encryption, governance, and monitoring across distributed services.
• Manage software supply chain risk: Continuously assess dependencies, validate software integrity, and monitor third-party components for vulnerabilities.
• Design for resilience and rapid recovery: Build redundancy, failover capabilities, backup processes, and incident response procedures into application architectures.

• Application Delivery and Security Solutions at a Glance
• Key Challenges in Fast and Secure Application Delivery
• Best Practices for Fast and Secure Application Delivery

• Notable Application Delivery and Security Tools
1. Radware Alteon
2. F5 BIG-IP LTM
3. NetScaler ADC
4. A10 Thunder ADC
5. Progress Kemp LoadMaster
6. HAProxy Enterprise
7. Cloudflare WAF
8. Akamai App & API Protector
9. Imperva WAF
10. Barracuda WAF
11. AWS Elastic Load Balancing
12. Azure Application Gateway
13. Google Cloud Load Balancing

Complex Cloud-Native Environments

Cloud-native environments introduce significant complexity due to their distributed, dynamic, and highly scalable nature. Applications are often broken into microservices, running across containers and orchestrated by platforms like Kubernetes. This leads to a sprawling attack surface, where each component, service, and network connection becomes a potential vulnerability. Managing consistent security policies and monitoring across diverse cloud providers and hybrid setups further complicates the landscape.

Security Bottlenecks in CI/CD

Continuous integration and continuous delivery (CI/CD) pipelines are central to rapid software deployment, but they can introduce security bottlenecks if not properly managed. Traditional security processes, such as manual code reviews or approval gates, can slow down delivery, leading to tension between development and security teams. In fast-moving environments, security checks that are not automated or integrated into the pipeline risk being bypassed, leaving applications exposed to vulnerabilities.

API and Third-Party Dependency Risks

APIs and third-party dependencies are integral to modern applications, but they introduce security challenges. APIs expose functionality and data, making them targets for attackers seeking to exploit improper authentication, excessive permissions, or vulnerabilities in the API logic. Similarly, third-party libraries and services can contain unpatched vulnerabilities or hidden malicious code, expanding the attack surface beyond direct developer control.

Performance, Availability, and User Experience Expectations

End users expect applications to be fast, reliable, and available at all times. Security measures that introduce latency, disrupt service, or degrade user experience are often met with resistance from users and business stakeholders. Balancing security with performance is a persistent challenge, especially as applications scale globally and are accessed from diverse locations and devices.

1. Build Security into the SDLC from the Start

Embedding security into the software development life cycle (SDLC) ensures that vulnerabilities are addressed early, reducing the cost and complexity of remediation later. This involves defining security requirements alongside functional ones, performing threat modeling during design, and integrating secure coding practices into development standards. Security-focused code reviews, automated testing, and continuous education for developers are key components of building resilient software.

Action items:

• Define security requirements during planning and design.
• Perform threat modeling for new applications and features.
• Enforce secure coding standards and peer reviews.
• Integrate security testing into development workflows.

By treating security as a core part of the SDLC, organizations can catch issues before they reach production environments. Early detection of vulnerabilities allows for faster fixes and reduces the likelihood of critical flaws reaching end users. This approach improves the overall security posture and supports compliance efforts by documenting controls and processes throughout development.

2. Automate CI/CD Pipelines

Automation in CI/CD pipelines helps maintain speed and consistency while reducing the risk of human error. Automated build, test, and deployment processes ensure that applications are delivered quickly and reliably. By integrating security tools, such as static and dynamic analysis, container scanning, and secret detection, directly into these pipelines, organizations can enforce security standards without manual intervention.

Action items:

• Automate build, test, and deployment processes.
• Integrate SAST, DAST, and dependency scanning tools.
• Scan containers and infrastructure-as-code templates.
• Detect secrets and credentials before deployment.

Automated pipelines also enable rapid feedback, allowing developers to identify and resolve issues as they arise. This continuous cycle of integration and delivery supports agile development practices and shortens the time from code commit to production deployment. Consistent automation ensures that every build is subject to the same security checks, reducing gaps and strengthening the security framework of the application delivery process.

3. Shift Security Left with DevSecOps

DevSecOps extends DevOps by integrating security practices throughout the development and deployment pipeline rather than addressing them as an afterthought. Shifting security left means involving security experts and automated controls from the earliest stages of development, ensuring that vulnerabilities are identified and mitigated before they become embedded in the application.

Action items:

• Include security teams in planning and development activities.
• Run automated security tests early in development.
• Provide developers with secure coding training.
• Establish security ownership across development teams.

By fostering a culture where security is a shared responsibility, DevSecOps reduces silos between development, operations, and security teams. This collaboration improves communication, accelerates incident response, and leads to more resilient applications. Continuous security testing and monitoring, combined with automated enforcement of policies, enable organizations to keep pace with deployment cycles without compromising protection.

4. Protect Applications at the Edge

Edge security involves deploying protection mechanisms closer to end users and application endpoints, reducing latency and improving defense against distributed threats. Technologies such as web application firewalls (WAFs), distributed denial-of-service (DDoS) protection, and content delivery networks (CDNs) provide a buffer that absorbs attacks before they reach the core application infrastructure. These edge solutions can also block malicious traffic and enforce access policies in real time.

Action items:

• Deploy web application firewall protections.
• Implement DDoS mitigation capabilities.
• Use CDNs to improve performance and resilience.
• Enforce access controls and traffic filtering policies.

By securing applications at the edge, organizations can mitigate large-scale attacks and reduce the risk of service disruptions. Edge-based security tools are scalable and can adapt to changing traffic patterns, providing performance optimization and threat mitigation. Integrating edge security with centralized monitoring and incident response ensures protection for applications, regardless of user location or device.

5. Continuously Optimize Application Performance

Continuous performance optimization is necessary to meet user expectations and maintain a competitive position. This requires ongoing monitoring of key metrics such as response time, throughput, and resource utilization. Automated performance testing during development and after deployment helps identify bottlenecks and scalability issues before they impact end users.

Action items:

• Monitor response times, throughput, and resource utilization.
• Conduct regular load and performance testing.
• Use caching and load balancing to improve efficiency.
• Track the performance impact of security controls.

Performance optimization must also account for the impact of security controls, ensuring that protective measures do not introduce unnecessary latency or degrade user experience. Techniques such as caching, load balancing, and adaptive resource allocation help maintain high performance while supporting security. By integrating performance management with security monitoring, organizations can deliver applications that are both fast and secure.

6. Secure APIs and Microservices

APIs and microservices are foundational to modern application architectures, but they require dedicated security controls due to their distributed nature. Implementing strong authentication, authorization, and encryption for all API endpoints is critical to prevent unauthorized access and data leakage. Regular vulnerability assessments and runtime monitoring are also necessary to detect and respond to emerging threats.

Action items:

• Require strong authentication and authorization.
• Encrypt API traffic and sensitive data.
• Monitor API activity for abuse and anomalies.
• Maintain API inventories and governance processes.

In addition to technical controls, organizations should adopt API governance practices, including versioning, documentation, and access management. This helps maintain visibility and control over the API landscape, reducing the risk of shadow APIs and unintentional exposure. Securing microservices and APIs is an ongoing process that must adapt to changing business requirements and threat environments.

7. Manage Software Supply Chain Risk

Software supply chains are targeted by attackers seeking to compromise applications through third-party components, libraries, or development tools. Managing this risk requires an inventory of all dependencies, continuous monitoring for vulnerabilities, and prompt patching or replacement of insecure components. Supply chain security also involves verifying the integrity and authenticity of software artifacts through techniques like code signing and secure build processes.

Action items:

• Maintain an inventory of software dependencies.
• Continuously scan for vulnerable components.
• Verify software integrity through code signing.
• Establish approval processes for third-party software.

Organizations should establish policies for evaluating and approving third-party software, including open source, before use in production environments. Automated tools can help identify outdated or vulnerable dependencies and enforce compliance with internal security standards. By managing supply chain risk, organizations can reduce compromise through indirect attack vectors and maintain trust in their software delivery process.

8. Design for Resilience and Rapid Recovery

Resilience is the ability of applications to withstand and recover quickly from failures or attacks. Designing for resilience involves implementing redundancy, failover mechanisms, and automated recovery processes across infrastructure and application layers. Regular testing of backup and disaster recovery plans ensures that organizations can restore service rapidly in the event of an incident.

Action items:

• Implement redundancy and failover mechanisms.
• Regularly test backup and disaster recovery plans.
• Create incident response playbooks and procedures.
• Monitor systems continuously and automate alerting.

Rapid recovery also depends on effective incident detection, response, and communication strategies. Real-time monitoring, automated alerts, and coordinated response playbooks enable teams to identify issues quickly and minimize downtime. By prioritizing resilience, organizations can maintain service availability and protect user trust, even in the face of unexpected disruptions or security breaches.

Best for: Hybrid and multi-cloud application delivery with integrated cloud-augmented security

Strengths: Single ADC architecture across all environments, Global Elastic Licensing model, AI-powered cloud security platform

Things to consider: Advanced configurations benefit from specialized personnel; some AI-driven features are still developing; documentation gaps require support engagement

Alteon is Radware's next-generation application delivery controller (ADC) and network load balancer, a cloud-augmented application delivery and security platform. It delivers consistent application delivery and security across on-premises, private cloud, and public cloud environments, using a single ADC architecture with the same code and feature set in each location.

Key features include:

Limitations (as reported by users on G2):

• Learning curve for advanced configuration: Reviewers note that while routine, day-to-day tasks are straightforward, configuring more advanced scenarios can be complex and benefits from experienced or specialized personnel.
• Documentation availability: Some users mention that built-in documentation is limited and that certain reference material needs to be requested through support rather than being readily available.
• Maturing AI functionality: A few reviewers observe that the platform's AI-driven capabilities are still developing relative to other, more established areas of the product.

Source: Radware

Best for: Enterprise-grade application traffic management requiring deep programmability and customization

Strengths: Highly flexible iRules scripting, industry-leading SSL performance, full-proxy architecture with DDoS integration

Things to consider: High hardware, licensing, and support costs; GUI considered outdated; steep learning curve for advanced features

F5 BIG-IP Local Traffic Manager is a full-proxy application delivery controller and the foundation of F5's broader Application Delivery and Security Platform. It manages network traffic at both the network and application layers, using real-time protocol and traffic-management decisions based on application and server conditions.

Key features include:

Limitations (as reported by users on G2):

• Higher cost than alternatives: Reviewers frequently describe the hardware, licensing, and support renewals as expensive compared with competing products, which affects their overall value assessment.
• Dated administrative interface: Several users find the web GUI outdated and clunky, note that logs are not easily viewed in the interface, and say the command line is not especially user-friendly.
• Steep learning curve and complex rule writing: Users report it takes time to learn the full feature set, that writing iRules and traffic policies can be difficult, and that advanced programmability support may require engaging paid professional services. License activation is also required before some features appear in the console.

Source: F5

Best for: Large enterprise application delivery requiring a unified code base across all form factors and hybrid cloud environments

Strengths: One-pass architecture for reduced latency, single management plane across all deployments, comprehensive security controls built in

Things to consider: Licensing costs have increased significantly in recent years; features are distributed across the console without a search function; support quality varies by region

NetScaler ADC (formerly Citrix ADC, now part of Cloud Software Group) is an application delivery and security platform that combines load balancing, traffic management, security, and observability in a single system. It uses a common code base across all form factors and a single management plane so that ADCs can be managed consistently across hybrid and multi-cloud environments.

Key features include:

Limitations (as reported by users on G2):

• Rising and high licensing costs: Reviewers report that per-license costs have increased sharply in recent years and that the product can be expensive, particularly for advanced editions and larger deployments.
• Learning curve and console navigation: Users note that learning the full feature set is difficult because functions are spread across the ADC console, and that the absence of a search capability makes locating specific configurations harder.
• Documentation and regional support: Some reviewers describe documentation and support as inconsistent in certain regions, with limited access to help resources for in-house IT staff.

Source: NetScaler

Best for: High-performance load balancing across data centers and multi-cloud with flexible deployment and licensing

Strengths: All-inclusive FlexPool licensing, AXAPI for CI/CD integration, strong multi-tenancy with RBAC

Things to consider: Logging capacity limitations under heavy traffic; WAF features less advanced than dedicated WAF products; some management interfaces reported as clunky

A10 Thunder Application Delivery Controller is a high-performance load balancing and application delivery solution built on A10's ACOS platform. It is intended to keep applications highly available, accelerated, and secure across multiple data centers and clouds, and it can be deployed as hardware, virtual, cloud, bare metal, or container form factors.

Key features include:

Limitations (as reported by users on G2):

• Cost and vendor lock-in: Some reviewers consider the product expensive and note concerns around vendor lock-in and performance overhead in certain deployments.
• Interface responsiveness: A user reported delays in the management UI when switching between contexts, which can slow administrative tasks.
• Scope and procurement timelines: Reviewers note the product is focused on load balancing and application tuning, and one cited long hardware lead times that affected deployment planning.

Source: A10 Networks

Best for: Mid-market organizations needing a full-featured ADC with built-in WAF and authentication at a competitive price

Strengths: Strong feature set including L4/L7 load balancing, WAF, and zero trust access; top-rated customer support; flexible licensing

Things to consider: Interface described as less modern and less intuitive for advanced configs; logging and analytics less rich than some competitors; complex custom configurations require engineering expertise

Progress Kemp LoadMaster is an application delivery and load balancing platform for cloud, Kubernetes, and on-premises environments. It provides Layer 4 and Layer 7 load balancing and reverse-proxy capabilities aimed at optimizing performance, security, and availability, and it can be deployed as a virtual appliance, hardware appliance, or cloud instance.

Key features include:

Limitations (as reported by users on G2):

• Dated interface: Reviewers describe the interface as feeling dated and cluttered, and suggest it needs more built-in guidance for configuring complex features.
• Licensing and default configuration friction: Users cite friction such as a perpetual-to-subscription license transition that required reinstallation, default configurations that can be confusing initially, and an inability to change or disable the default account that ships with the product.
• Roadmap, documentation, and management gaps: Some reviewers feel the roadmap is weak and documentation could be better, note that support quality has varied over time, and mention limited command-line management options and cumbersome WAF exception-rule writing.

Source: Kemp

Best for: High-throughput environments needing sub-millisecond latency load balancing with multi-layered application security

Strengths: Handles millions of requests per second, active-active failover, open source foundation with 20+ years of stability

Things to consider: Configuration syntax has a steep learning curve; WAF and bot protection are available in the Enterprise edition only; advanced features may require Fusion control plane

HAProxy Enterprise is the commercial load balancer from HAProxy Technologies and the data-plane component of the broader HAProxy One platform. It extends the open-source HAProxy core with added security, centralized management through HAProxy Fusion, and vendor support. The product aims to deliver consistent performance and a multi-layered security stack across bare metal, virtual machines, Kubernetes, and public or multi-cloud environments.

Key features include:

Limitations (as reported by users on G2):

• Configuration complexity: Reviewers note that the configuration syntax can be challenging for first-time users, the learning curve can be steep, and debugging configurations can be difficult.
• Documentation and edition gaps: Some users say documentation is occasionally unclear or hard to locate, and that the WAF capability is only available in the Enterprise edition rather than the open-source one.
• Operational considerations: Reviewers mention that aggregating statistics and controls across multiple processes or servers is difficult without the Fusion control plane, that newer releases sometimes contain bugs, and that platform updates can introduce downtime if not carefully managed.

Source: HAProxy

Best for: Organizations needing edge-enforced WAF with low latency, virtual patching, and CI/CD-ready management

Strengths: Global edge network, auto-updating managed rulesets, full API management and CI/CD integration

Things to consider: Advanced rule configuration can be complex; some powerful features require higher-priced tiers; rule debugging and false positive tuning can be tedious

Cloudflare WAF is a web application firewall that inspects HTTP and HTTPS requests at the edge of Cloudflare's global network, using managed and custom rules to identify and block malicious payloads before they reach the application. Because protection is enforced close to the user across Cloudflare's network, it aims to add minimal latency while still filtering attacks.

Key features include:

Limitations (as reported by users on G2):

• Complexity of advanced configuration: Reviewers note that while the basics are easy, configuring advanced WAF rules, bot management, and rate limiting can become complex and at times feels unintuitive.
• Detection transparency and pricing tiers: Users report that it is not always clear why certain requests are blocked or challenged, which slows troubleshooting and tuning, and that some of the more powerful features sit behind higher-priced tiers.
• Rule debugging and false positives: Some reviewers find rule testing and validation tedious and mention occasional false positives in bot management that require manual allowlisting.

Source: Cloudflare

Best for: Large organizations needing unified WAF, bot mitigation, API security, and DDoS protection from a global edge network

Strengths: Adaptive Security Engine with auto-tuning, behavioral DDoS defense, API discovery with sensitive data protection

Things to consider: Configuration change propagation can be slow; pricing is high for smaller organizations; WAF depth and reporting interface have room for improvement per some reviewers

Akamai App & API Protector is a solution that combines a web application firewall, bot mitigation, API security, and DDoS protection, including Layer 7 DDoS defense. It is delivered from Akamai's global edge network and is designed to identify vulnerabilities and mitigate threats across complex web and API architectures with relatively low operational effort.

Key features include:

Limitations (as reported by users on PeerSpot):

• Configuration propagation delays: Reviewers report that pushing configuration changes across the network and retracting them can each take a noticeable amount of time, slowing change cycles.
• Pricing and support: Users describe the product as expensive, particularly for smaller organizations, and say customer support and documentation could be improved.
• WAF depth and interface: Some reviewers feel the WAF and Layer 7 protections have room for improvement, occasionally prompting the use of a second WAF layer, and describe the interface and reporting as areas that could be refined.

Source: Akamai

Best for: Organizations needing a high-fidelity WAF with near-zero false positives that can run in blocking mode from day one

Strengths: Production-tested managed rules, near-zero false positives, machine learning event correlation

Things to consider: Higher cost than many alternatives; potential performance impact in some configurations; initial setup and ongoing maintenance require security expertise

Imperva WAF is a web application firewall available in both cloud and on-premises deployments, designed to stop application attacks with very low false positives. Its managed rules are written and tested in production by Imperva's Threat Research team before deployment, which allows customers to run the WAF in blocking mode.

Key features include:

Limitations (as reported by users on G2):

• Cost and regional support: Reviewers describe the product as expensive, note that the cost of implementing and maintaining the WAF is high, and report that partner support quality varies by region.
• Potential performance impact: Some users mention that the WAF can introduce latency and affect web application performance in certain configurations.
• Setup complexity: Reviewers note that initial setup and configuration can be complex for those unfamiliar with security concepts and that ongoing maintenance and monitoring are needed to keep protection effective.

Source: Imperva

Best for: Organizations needing WAF coverage across web applications, APIs, and mobile backends with built-in application delivery capabilities

Strengths: Broad protocol and API protection, machine-learning bot detection, full REST API and DevOps integrations

Things to consider: Machine learning detection can be inconsistent; complex custom configurations require firewall and networking expertise; support response times can be slow for some issues

Barracuda Web Application Firewall protects web applications, APIs, and mobile application backends against a range of attacks, and is part of the broader Barracuda Application Protection platform. It combines signature-based policies, positive security, and anomaly detection to block sophisticated attacks, and offers flexible deployment across on-premises and cloud-native environments.

Key features include:

Limitations (as reported by users on G2):

• Detection consistency: Reviewers note that the machine-learning-based threat detection can behave inconsistently and sometimes generate false positives that require manual review.
• Support response times: Some users report that technical support can take a significant amount of time to troubleshoot certain issues.
• Advanced setup expertise: Reviewers indicate that while basic setup is straightforward, more custom or complex configurations require above-average knowledge of firewalls and networking.

Source: Barracuda

Best for: Organizations running workloads on AWS that need native load balancing with deep integration across AWS services

Strengths: Tight AWS ecosystem integration, automatic scaling, content-based routing for microservices, hybrid load balancing

Things to consider: Pricing based on Load Balancer Capacity Units can be difficult to predict; less suitable for multi-cloud deployments; SSL and health check configuration is complex for new users

AWS Elastic Load Balancing (ELB) is Amazon Web Services' managed load balancing service, which automatically distributes incoming application traffic across multiple targets and virtual appliances in one or more Availability Zones. It helps improve application scalability and availability while integrating natively with EC2, ECS, and EKS.

Key features include:

Limitations (as reported by users on G2):

• Pricing predictability: Reviewers report that the pricing model, including Load Balancer Capacity Units, can be difficult to predict and that costs can add up quickly under fluctuating or high traffic, with limited cost visibility in the console.
• Ecosystem dependence: Users note that ELB is tightly tied to the AWS ecosystem, which makes it less suitable for multi-cloud or hybrid deployments, and some observe a slight increase in latency in certain cases.
• Configuration complexity: Reviewers mention that configuring listener rules, target groups, SSL, and health checks can be complex for new users and that some customizations are constrained.

Source: AWS

Best for: Organizations running HTTP/HTTPS applications on Azure that need Layer 7 routing with an integrated WAF

Strengths: Integrated WAF, autoscaling, native integration with Azure Monitor and Azure Key Vault

Things to consider: Supports HTTP/HTTPS traffic only; expensive under high traffic; operates within a single Azure region; integration latency through additional network hops

Azure Application Gateway is Microsoft Azure's web traffic load balancer and application delivery controller, used to build scalable and highly available web front ends in Azure. It routes web traffic with application-layer (HTTP/HTTPS) features such as SSL termination, routing, and load balancing, and includes an integrated web application firewall.

Key features include:

Limitations (as reported by users on G2):

• Cost for high traffic: Reviewers note that the service can be expensive, particularly for high-traffic applications.
• Setup effort and learning curve: Users report that it can be difficult to set up and maintain for those unfamiliar with the product, with a steeper initial configuration effort than some alternatives.
• Scope and integration constraints: Reviewers mention that it operates within a single Azure region, is designed for web (HTTP/HTTPS) traffic, cannot balance traffic between VPNs, and that integrations can add latency through additional network hops, along with concerns about vendor lock-in.

Source: Microsoft

Best for: Organizations on Google Cloud needing global traffic distribution from a single anycast IP with built-in DDoS and WAF through Cloud Armor

Strengths: Single anycast IP for global distribution, built on Google Front End and Maglev infrastructure, AI/ML workload routing, Cloud CDN integration

Things to consider: Configuration is complex relative to some alternatives; requires GCP expertise; dedicated customer support is limited at lower service tiers

Google Cloud Load Balancing is a fully managed service that distributes traffic across application instances for performance and resilience, scaling from low volumes to very large request rates. It offers a portfolio of application and network load balancers built on the same infrastructure as Google's other products, and it can serve a global audience from a single anycast IP address.

Key features include:

Limitations (as reported by users on G2):

• Configuration complexity: Reviewers describe the service as complicated relative to some alternatives and note initial setup complexity, including occasional issues with load balancer health checks.
• Required expertise: Users report that considerable IT knowledge is needed and that, while the admin panel is reasonably user-friendly, it may not be sufficient for proper handling without experienced staff.
• Customer support: Several reviewers say customer support is limited, noting that dedicated or free support is not as available as they would like.

Source: Google Cloud