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NGINX vs. HAProxy: Comparing Features and Use Cases

NGINX and HAProxy share much in common at a high level: Both are open source technologies used to manage web traffic. However, the more specific the use case and volume of data, the more the minor differences become significant. This is when weighing the benefits and drawbacks of NGINX vs. HAProxy can be beneficial.

In this blog, our expert highlights the key differences between NGINX vs. HAProxy and explains how to determine which is more suitable for your website or application.

Note: While both NGINX and HAProxy have commercial versions (NGINX Plus and HAProxy Enterprise), this blog is focused on the FOSS versions. 

NGINX vs. HAProxy: Overview

The main difference between NGINX vs. HAProxy is that while both are effective as load balancers and reverse proxies, NGINX is a web server with broader range of capabilities, making it more versatile. HAProxy is ideal for complex load balancing scenarios where high throughput and low latency are needed to manage a high volume of web traffic.

The key technical differences between NGINX and HAProxy come into play in two areas: the efficiency of the worker processes and load balancing health checks of the next endpoint. The latter is particularly limited in NGINX (less so in NGINX Plus, which has a number of premium features left out of the free OSS version). 

 

What Is NGINX?

NGINX is an HTTP web server, reverse proxy for TCP/UDP and web traffic, and mail proxy server. It’s characterized by its lightweight footprint, and efficient and modular design.

What Is HAProxy?

HAProxy is a layer 4 TCP proxy and an HTTP gateway/reverse proxy that can handle HTTP 1.1, HTTP2, and HTTP3 requests/responses on either end and a combination of protocols. Due to its queue design and features, HAProxy can terminate TLS and normalize HTTP and TCP traffic.

While there are many use cases where HAProxy shines, it is not capable of per-packet load balancing or serving static web content, nor is it a good fit as a dedicated, large-scale caching proxy.

NGINX vs. HAProxy: Key Similarities and Differences

When it comes to reverse proxying and load balancing, there are more similarities than differences between NGINX and HAProxy. However, we’ll explore a few areas where the two technologies differ and when/why it matters.

Architecture

NGINX and HAProxy both utilize event-driven architecture, though HAPRoxy has a multi-threaded single process design and NGINX uses dedicated worker processes.

Configuration

NGINX uses a hierarchical block structure for configuration. The main NGINX configuration file is typically nginx.conf with additional configuration loaded in a separate file (for example, the TLS configuration). The directives in the configuration blocks are structured in key-value pairs and encapsulated in curly brace blocks.

The main contexts are http, server, and location. The context is inherited from parent context and directives have priorities. When building more complex ‘location’ and ‘match’ logic, the directive order and priority is often overlooked.

Here are some best practices for location blocks in NGINX:

  • Use exact matches for static pages that you know won’t change.
  • Utilize regular expressions for dynamic URI matching but be aware of the order of precedence.
  • Prefix matches (^~) can be used for performance benefits if you do not need regular expression matches.
  • Root-level (/) location should be your fallback option.

The most common issues when configuring location blocks in NGINX include:

  • Regular expressions evaluated out of order can lead to unexpected results.
  • Overusing regular expressions can degrade performance.
  • Prefix directives without the ^~ modifier may be overridden by regular expressions.

Get more NGINX setup and configuration tips >>

Now let’s compare to HAProxy, which uses a flat section-based configuration. The configuration file for HAProxy is commonly haproxy.cfg. The main sections are global, defaults, frontend, backend, and listen.

Some common issues to be aware of regarding HAProxy configuration:

  • Not using graceful reload to avoid connection interruptions.
  • Lack of observability implementation for the golden signals of the HAProxy Frontend and Backend systems (Latency, Service Saturation, Errors, and Traffic Volume).

Key difference: HAProxy configuration tends to be more specific to load balancing and proxying, while NGINX configuration can cover a broad range of web server functionalities that HAProxy lacks.

Performance

When evaluating the performance of NGINX vs HAProxy, the differences are pretty nuanced, and comparable only on a use case by use case basis. Generally speaking, they are both considered high-performance in terms of delivering content to clients and users.

There are some features of HAProxy that can be useful in scenarios where NGINX does not have an equivalent function. For example, HAProxy’s design with multiple threads on the same process allows it to share resources among the processes. This is advantageous when many different clients access similar endpoints that share resources or web services.

Scalability

Again, both NGINX and HAProxy are highly scalable. One drawback of NGINX is that each request can only be served by a single worker. This is not optimal use of CPU and network resources. Because of this request-process pinning effect, requests that do CPU-heavy or blocking IO tasks can slow down other requests.

Security

HAProxy offers fine-grained Access Control List (ACL) configurations via a flexible ACL language. NGINX, on the other hand, uses IF statements for routing.

For observability, NGINX relies on logging, and an OpenTelemetry module can be added during build time, whereas HAProxy offers a native API and statistics on demand.

Learn more about web server security >>

Support

Both NGINX and HAProxy have a very large user bases and communities, and are being actively developed with new features (e.g. QUIC, HTTP/3) and updated regularly with security patches. Additionally, both also have active Github projects with discussion forums where users can submit questions and share feedback on features.

For teams that need immediate, expert-level remediation beyond what OSS communities provide, OpenLogic offers SLA-backed technical support up to 24/7/365 for both NGINX and HAProxy.

Use Cases: NGINX vs. HAProxy

On a qualitative basis, NGINX is the go-to option for fast and simple builds. This is also why NGINX is so popular as an ingress controller in Kubernetes and edge deployments.

While HAProxy will cover all the same use cases as NGINX, it is more feature-rich as a reverse proxy. For example, you could use HAProxy for a layer 4 database frontend for a MySQL cluster/replication architecture, multiple monolithic web applications or services, DNS cache, and initial Denial of Service protection via queueing. SRE Engineers will appreciate the detailed real-time metrics and monitoring capabilities in HAProxy as well.

Using NGINX and HAProxy Together

In large, data-intensive distributed architectures, there are some use cases where the upsides of combining the strengths of NGINX and HAProxy are appealing. However, there are also some drawbacks worth considering.

Use cases

  • High-traffic websites and microservices requiring both content delivery and load balancing
  • Applications with mixed static and dynamic content, especially beyond web type content

Upsides

  • Complementary strengths: NGINX excels at content caching and serving static content, while HAProxy is optimized for load balancing.
  • Enhanced security: NGINX can act as a reverse proxy, adding an extra layer of security before requests reach HAProxy.
  • Flexibility: This setup allows for more complex architectures and fine-tuned control over traffic flow.

Drawbacks

  • Increased complexity: Managing two separate systems can be more challenging.
  • Potential bottlenecks: If not configured properly, the additional layer can introduce latency.
  • Higher resource usage: Running both services requires more server resources.
  • Configuration challenges: Ensuring both systems work harmoniously together can be tricky.

Final Thoughts

Hopefully it is now clear that comparing NGINX vs. HAProxy is a worthwhile exercise. There are use cases that favor each, as well as situations when deploying them together can be an effective strategy. Most agree that the learning curve for NGINX is less steep, with easier setup and configuration, so for simpler applications delivering static content where speed is prioritized over complexity, NGINX works. However, for applications that require real-time responsiveness and high availability, and teams that want more advanced customization for traffic routing and better observability, HAProxy is probably a better fit. 

About Perforce
The best run DevOps teams in the world choose Perforce. Perforce products are purpose-built to develop, build and maintain high-stakes applications. Companies can finally manage complexity, achieve speed without compromise, improve security and compliance, and run their DevOps toolchains with full integrity. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce is trusted by the world’s leading brands to deliver solutions to even the toughest challenges. Accelerate technology delivery, with no shortcuts.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Perforce Acquires Delphix

We are delighted to announce our acquisition of Delphix, a best-in-class leader in Enterprise Data Management solutions. I want to share with you why I am personally excited about this major milestone in our company’s continued DevOps evolution and the benefits this acquisition provides to our customers. Data is at the heart of how enterprises operate today and essential for successful software development, but accessing and managing that data is extremely challenging. Many teams do not have rapid access to solid, high-quality test data. Imagine something the size of a relational database, with all the data to collect and piece together to make it testable — this is both labor-intensive and very difficult to achieve. All that changes with Delphix. This truly outstanding platform provides on-demand, easy access to data very quickly and in a safe way. Delphix protects and masks customer data giving teams the right data, securely and quickly, so they can focus on creating great software.

More Stand-Out Advantages

Another unique ability of the Delphix platform is how it virtualizes data and ultimately reduces storage footprints, which is good news for sustainability and operational costs. Furthermore, it works across a wide variety of our customers’ environments, from mainframes to Oracle databases, ERP applications, multi-cloud, and containerized environments. The acquisition of Delphix is a reflection of what our customers tell us they need and how we respond. I cannot think of another solution better aligned with what we are trying to achieve: helping our customers innovate at speed and automate their developer environments. We aim to solve DevOps’ biggest challenges without stifling innovation, and Delphix is an excellent example of how we can do that. Moreover, our two organizations are extremely complementary — from our technology, teams, and shared dedication to delivering exceptional customer support. Like us, Delphix has a global presence, and we serve many of the same esteemed customers, including some of the world’s largest and most successful organizations.

Immediate Customer Benefits

Our customers can immediately reap the benefits of this acquisition. They gain access to enhanced capabilities within our already robust testing portfolio, complemented by Delphix’s expertise and the addition of skilled teams worldwide. This is just the beginning. We are committed to exploring how Delphix can further augment our comprehensive portfolio, aiming to become the preferred partner for all enterprise DevOps needs. Delphix represents a critical step forward, among many more to come. Stay tuned for what comes next. If you want to learn more about Delphix, please head over to their website https://www.delphix.com/

About Perforce
The best run DevOps teams in the world choose Perforce. Perforce products are purpose-built to develop, build and maintain high-stakes applications. Companies can finally manage complexity, achieve speed without compromise, improve security and compliance, and run their DevOps toolchains with full integrity. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce is trusted by the world’s leading brands to deliver solutions to even the toughest challenges. Accelerate technology delivery, with no shortcuts.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

How Does UL 4600 Keep Autonomous Trucking Systems Safe?

The third edition of UL 4600 was released in 2023 to add specific requirements for the use case of autonomous trucking and to address changing industry trends.

Here, we explain what’s happening in the autonomous trucking industry, why UL 4600 is important for autonomous trucking specifically, and how static analysis helps to overcome challenges for this evolving technology.

Read on or jump ahead to the section that interests you most:

➡️ start Your Free Static Analysis Trial

While some just dream of fleets of autonomous trucks efficiently delivering goods across the country, others are already at work to ensure they can do so safely and resiliently. With the update to ANSI/UL 4600, the Standards for Safety for the Evaluation of Autonomous Products, Edition 3, in play, embedded software teams now have better safety guidance just as self-driving technology is ramping up to make shipping faster, more cost-effective, and more efficient in the face of driver shortages and rising transportation costs.

Autonomous trucking software is on the cusp of widespread adoption. To prepare for the inevitable transition from closed-course testing to widespread deployment, OEMs need to understand the current state of trucking automation and how to effectively implement software safety practices.

What Is Autonomous Trucking?

Autonomous or driverless trucks operate with minimal to no human input. Instead, autonomous trucks or autonomous tractor-trailers rely on sensors — usually combinations of cameras, LiDAR, and radar — to feed environmental data into algorithms and actuators that control the vehicle.

The Society of Automotive Engineers (SAE) have defined levels of driving automation that are adopted across the industry, which range from Level 0 (completely manual) to Level 5 (completely autonomous). While the lower levels with an automated driving system (ADAS) are already in play for autonomous trucks, software development teams will need to ensure functional safety for the higher autonomy levels, ideally Levels 4 (High Automation) and 5 (Full Automation) for the freight industry to benefit from autonomous trucking.

Autonomous Trucking Development Today

Trucking is the dominant mode of inland freight transportation in many countries, with several trucking companies competing to be the first to operationalize autonomous driving. Driverless technologies offer significant potential value for fleet operators: They can reduce operating costs, overcome driver shortages, and improve efficiency.

For example, driverless semi trucks (or lorries) can employ truck platooning more effectively than human drivers, where vehicles follow each other at the same speed to improve fuel economy and reduce their impact on traffic.

While there have been a few setbacks in recent years — for example, TuSimple, Navistar and UPS shut down their “Driver-out” self-driving truck system in 2023 and Waymo, Embark and Locomation are no longer actively developing autonomous trucks — there are many more new entrants working toward wide-scale deployment:

Traditional OEMs are nearing full operationalization, with trucks already being tested in North America. In partnership with Aurora, Volvo revealed its first production-ready autonomous truck in May, and Daimler Truck reported that its Freightliner Cascadia semi-trucks are meeting closed-course acceptance tests in October of 2024.

These announcements indicate that the automotive industry is driving autonomous trucking plans forward — so software development teams in automotive manufacturing will need to get familiar with the challenges, solutions, best practices, and compliance with UL 4600 to ensure they are prepared for these exciting advancements.

Trucking Automation Software Challenges

There are five main challenges for teams developing autonomous trucking software:

It’s hard to reuse autonomous software built for cars.

The development and testing of self-driving cars focus on short, low-speed routes with stop-and-go traffic. In contrast, autonomous trucks will operate on long-haul highway routes at higher speeds and will encounter less traffic, more variable terrain, and transitions between urban and rural roads.

More critically, a Class 8 driverless semi-truck has a gross vehicle weight eight times that of the average passenger vehicle — before loading its cargo. This means autonomous driving software has to account for a larger turn radius, longer stopping distances, and the presence of a trailer that can weigh as much as 14,000 U.S. pounds unloaded.

Software has to handle many use cases.

Trucking automation software must accommodate different vehicle classes, cargo conditions, and route types. While some fleets deliver consumer packaged goods within cities, most autonomous trucks are particularly good for long distances, which will need to be accounted for in the software. Still others transport hazardous, refrigerated, or liquid materials across international borders.

There is also the scalability factor: To build and test multiple branches of software to handle various scenarios at scale, developers should design systems to accommodate a wide range of input and control conditions before deploying them into real-world trucking environments.

Verification and validation require long highway driving.

Once acceptance tests are performed on closed-loop circuits, autonomous trucks must conduct road tests on highways, ideally for hundreds of miles across the country. That way, developers can ensure their autonomous trucks can cover the distances, runtime, and road conditions necessary for the long haul. The U.S. Department of Energy reports that the average semi-truck travels over 62,000 miles annually.

Security must be a top priority.

Similar to their automotive counterparts, driverless trucks must address the following security concerns:

  • Protect connected infrastructure and endpoints such that there is acommon baseline of trust between nodes.
  • Track and adapt to vulnerabilities that will continue to grow as malicious actors realize new opportunities to attack and destabilize critical trucking networks.
  • Secure the manufacturing supply chain with vendors who may not have had to deal with software security before.
  • Comply with cybersecurity regulations and best practices, such as ISO/SAE 21434.

Safety compliance must be accounted for.

Safety will be the key differentiator between manufacturers that make it to market and those stuck in verification and validation activities. Fully unmanned trucks operating at highway speeds present real concerns, including difficulty in handling unexpected situations and decision-making capabilities, in addition to more typical concerns about undefined behaviors and software malfunctions.

The challenges of developing safe trucking automation systems lie in their components. Everything from sensors to decision-making algorithms to vehicle motion control must be scrutinized. Given this complexity, manufacturers will find themselves relying on automated tools, like Perforce Static Analysis, to help with UL 4600 compliance.

Understanding UL 4600: Safety Principles and Processes for Autonomous Trucking

UL 4600 is the first safety standard designed specifically for autonomous and connected vehicles. Unlike a traditional UL satefy standard, UL 4600 takes a “safety case” approach with real-world applications in a specific environment — and the inclusion of autonomous trucks in UL 4600 Edition 3 includes trucking-specific examples. The standard helps developers build a safety case for carious aspects of system development and maintenance:

“It offers framework that leads designers of autonomous systems through the required thought process to ensure all possible complications have been considered. What are the safety questions that need to be considered in design? How do you think beyond design and for the lifecycle of the vehicle? Can quality and consistency be assured across manufacturers?

— Dr. David Steel, Executive Director of UL Standards & Engagement, ULSE, Inc.

The UL 4600 Edition 3 standard requires developers to follow a three-step approach for assessing and validating driverless truck safety:

  1. Make a measurable safety claim, where developers state how the autonomous truck should operate.
  2. Make an argument that proves the claim is true by describing the perception technologies and the systems that are triggered by them.
  3. Provide evidence that the system will perform as expected by providing simulation results, road test outcomes, and other proof that the autonomous truck will perform as stated.

The end result is a safety case arguing that an exceptionally robust combination of analysis, simulation, closed course testing, and public road testing have been performed — with evidence given — to ensure an appropriate level of system safety.

How Static Analysis Helps Achieve Autonomous Truck Safety

There is a specific requirement in UL 4600 for coding standard compliance, as the development process should be similar to that of IEC 61508 or ISO 26262, so developers should use static analysis to some degree and produce the results of source code analysis. Static code analyzers — like Perforce Helix QAC and Klocwork — support these goals by ensuring comprehensive code coverage and sufficient supporting evidence in these areas:

Amid the pressure of getting driverless trucks to market, these tools enable developers to focus on feature development rather than compliance activities.

About Perforce
The best run DevOps teams in the world choose Perforce. Perforce products are purpose-built to develop, build and maintain high-stakes applications. Companies can finally manage complexity, achieve speed without compromise, improve security and compliance, and run their DevOps toolchains with full integrity. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce is trusted by the world’s leading brands to deliver solutions to even the toughest challenges. Accelerate technology delivery, with no shortcuts.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Perforce Introduces AI Validation: Adaptive, Intelligent AI Testing for Enterprise Teams

Perfecto’s new AI Validation moves autonomous testing closer to reality through context-aware testing.

 

MINNEAPOLIS, Jan. 28, 2025 — Perforce Software, a DevOps company for global teams requiring speed, quality, security, and compliance at scale along the development life cycle, announces the launch of AI Validation, a new capability within its Perfecto continuous testing platform for web and mobile applications.  

Perfecto’s AI Validation completely changes the way organizations experience testing. Instead of creating multiple scripts and frameworks, which are cumbersome and do not scale on multiple platforms that require consistent digital experiences, AI Validation uses advanced artificial intelligence to validate applications visually and contextually and dynamically adapts to application changes without human intervention. Designed to address the increasing complexity of modern applications, this innovation empowers teams to deliver software faster while maintaining the highest levels of quality. 

While many testing solutions rely on AI co-pilots to simply create more scripts, Perforce’s AI uses natural language prompts and does not rely on objects or code, instead creating durable tests that work across platforms. This user-centric approach eliminates the need for specialized scripting knowledge, allowing anyone—regardless of skill set—to adopt and scale test automation quickly. By removing co-pilot complexity, Perforce moves towards autonomous testing, an AI-driven approach to testing that eliminates the need for human intervention.  

“The success that our early adopters have already experienced with AI Validation is a huge validator to our approach with testing,” said Stephen Feloney, Vice President, Product Management at Perforce. “Creating more frameworks and more code in co-pilot does not help testers do what they have always wanted: validate exactly what appears on the screen. This is what AI Validation provides them. Our early customers are already experiencing a reduction in their time by around 20%, but we anticipate this will be closer to 50% or more as we continue to innovate in this area.”

Perfecto client, Midwest Tape, a physical and digital media distributor, has already incorporated AI Validation into their testing strategy, reducing their overall testing time by 20%.

“AI Validation has proven to be extremely beneficial and critical for our testing processes, as it eliminates the dependency on traditional [object] locators,” said a QA Automation Lead at Midwest Tape. “Given that our application relies heavily on [object] locators, which can often be unreliable and prone to flakiness, the use of AI-driven validation significantly enhances stability and efficiency.”

Another client, Servus Credit Union, has also utilized AI Validation in their testing and looks forward to the growth potential it provides for their organization. “We are excited about where this can go,” said Byron Chan, Digital Delivery Quality Assurance Lead at Servus. “I see tremendous potential because eventually you could come up with test cases in this prompt format before development even starts, and then once developed/deployed, you could potentially avoid manual testing and automation test development because it’s already done.”

Perfecto’s AI Validation is tailored for enterprise teams navigating the complexities of multi-platform testing. Its seamless integration into CI/CD workflows enables continuous and scalable testing that evolves with the dynamic demands of agile and DevOps practices. By simplifying processes and enhancing adaptability, it empowers teams to maintain quality and speed across the development life cycles.

Whether validating a complex trending graph, bar chart, or a dynamic calendar view—across Android, iOS, and varied screen resolutions—AI Validation significantly improves quality, lowers maintenance, and reduces costs while fundamentally changing how testing is done.

KEY FEATURES OF AI VALIDATION

  • Dynamic Adaptability: Manually updating scripts or object locators whenever an application changes leads to frequent test failures and costly maintenance. Perfecto’s AI Validation inherently avoids this issue by eliminating reliance on fragile locators and script updates—so there is no need for continuous adjustments when the UI evolves. This ensures uninterrupted testing and significantly lowers costs.
  • Contextual Test Coverage: Unlike basic OCR-based solutions, Perfecto’s AI-driven approach verifies the meaning behind dynamic elements—charts, dashboards, or graphics—to ensure user experiences reflect the intended content. This deep level of coverage ensures thorough visual validation across all application layers.
  • Efficiency At Scale: Slow feedback loops and fragmented processes bog down agile and DevOps teams. AI Validation seamlessly integrates into CI/CD pipelines, accelerating releases and allowing teams to adapt quickly to any change in their development cycle with extensible SDKs.
  • Anyone Can Test: Test creation and maintenance demands specialized scripting skills, limiting participation to a few technical experts. AI Validation’s natural language prompts open testing to everyone on the team, expanding coverage while freeing specialists to tackle more complex challenges.

AI Validation represents a paradigm shift in testing, marking a new era of seamless innovation—and this milestone is just the beginning. Over the coming months, Perforce will unveil a series of transformative releases that promise to redefine industry standards and push the boundaries of continuous testing. Some of these capabilities will include autonomous testing, the simplification of test creation through low-code workflows and AI-guided suggestions, the ability to automatically adapt to real-time changes across platforms, AI-driven dashboards that pinpoint root causes for faster resolution, and the ability to continuously adapt to UI, data, or logic changes in real time, eliminating manual updates and ensuring your testing remains resilient and future-ready.

Visit www.perfecto.io to discover how AI Validation can simplify testing, enhance coverage, and accelerate delivery timelines. While there, request a custom demo to see the feature in action and experience the future of testing firsthand. Current Perfecto customers can unlock the power of AI Validation by contacting their system administrator to enable the feature for their workplace instance.

Additional Resources:

About Perforce
The best run DevOps teams in the world choose Perforce. Perforce products are purpose-built to develop, build and maintain high-stakes applications. Companies can finally manage complexity, achieve speed without compromise, improve security and compliance, and run their DevOps toolchains with full integrity. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce is trusted by the world’s leading brands to deliver solutions to even the toughest challenges. Accelerate technology delivery, with no shortcuts.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

選擇 OpenLogic 支援開源軟件的五大理由

現今，全球公司企業比以往更積極採用及貢獻開源軟件 (OSS)，這點已在《開源軟件現狀報告》中清楚呈現。然而，在關鍵應用中成功部署 OSS，往往需要可靠的合作夥伴提供專業技術支援與服務。

這篇文章將深入探討公司企業選擇 OpenLogic 的五大關鍵原因，並闡述 OpenLogic 如何協助公司企業釋放 OSS 的創新潛力，同時有效降低相關風險。

 

為什麼需要 OSS 支援
根據最新的《開源軟件現狀報告》，無論企業規模、地區或產業，採用 OSS 的首要動機皆是為了降低成本，因為它無需支付授權費用。

然而，儘管社群開源軟件能免費使用，但仍需專業知識才能駕馭。報告亦持續指出，企業在尋找具備整合、操作及維護開源技術的專業人才方面，面臨嚴峻挑戰。仰賴自身力量往往難以持續，而社群論壇與文件提供的協助也可能有限。

因此，許多看重 OSS 成本效益的企業，也會選擇投資 OpenLogic 等商業供應商提供的第三方支援服務。

 

選擇 OpenLogic 取得 OSS 支援的五大理由
OpenLogic 在過去 20 多年來，致力於為全球企業提供專業的 OSS 技術支援與服務，涵蓋諮詢、遷移、培訓等多元面向。以下將分享客戶選擇 OpenLogic 作為 OSS 合作夥伴的五大原因：

  1. 全面支援您的 OSS 技術堆疊的單一平台
    OpenLogic 支援超過 400 種開源技術，包括頂級企業級 Linux 發行版、資料庫與巨量資料技術、框架、中介軟件、DevOps 工具等。為客戶提供一站式服務，滿足他們在開發與生產環境中使用的絕大多數 (甚至全部) OSS 需求。

    OSS 商業化的一大問題是，企業可能需要與多個支援供應商合作，數量甚至可能達到十幾個，這往往導致問題發生時，各方互相推諉，延誤解決時程。此外，供應商鎖定也是一大隱憂，企業可能被迫接受價格上漲，或只能使用特定供應商生態系統中的服務與整合。

    OpenLogic 正能有效解決上述兩大困擾。企業只需與單一供應商合作，即可獲得涵蓋整個技術堆疊的全面支援，同時保有隨時更換技術的自由。

     

  2. 經驗豐富的企業架構師提供一致且直接的支援
    內部專業人才短缺與人員流動，可能阻礙企業充分發揮 OSS 的強大功能。大型企業或許擁有足夠的人力，但未必具備管理最新技術的專業知識。OpenLogic 提供直接途徑，讓客戶能與頂尖的專家團隊聯繫，這些專家都具備全堆疊的專業知識，有效彌補企業在這方面的缺口。

    不同於一般技術支援中心，OpenLogic 的客戶能直接與至少擁有 15 年經驗的企業架構師互動，處理每個支援個案。專家們擁有豐富的實戰經驗，能協助客戶處理複雜的部署，無論是版本升級、調整關鍵擴展性的配置，或是排除效能問題，都能立即提供專業協助。

     

  3. 符合法規要求，SLA 保證的支援
    合規性是指保護企業 IT 基礎架構的內部控制與外部要求。PCI-DSS、CIS Controls、ISO 27001、GDPR、FedRAMP、HIPAA 等法規，皆要求軟件必須獲得完整支援，並定期更新至最新版本與安全修補程式，開源軟件亦不例外。

    持續追蹤更新與修補程式，對使用 OSS 的企業而言是一項艱鉅的挑戰。OpenLogic 在 OSS 發布生命週期方面擁有深厚的專業知識，並長期支援 CentOS、AngularJS 及 Bootstrap 等終止支援軟件，這也是眾多企業選擇與 OpenLogic 合作的主因之一。透過與 OpenLogic 合作，企業能更輕鬆地維持合規性並通過 IT 稽核，因為 OpenLogic 提供企業級 SLA 保證回應與解決時間的技術支援與長期支援 (LTS)。

     

  4. 整合開源軟件包至完整堆疊部署的專業知識
    大多數技術堆疊中，所有 OSS 之間的整合與互通性往往並非易事。即使是成熟穩定的開源基礎設施軟件，各組件之間的關聯性也可能複雜到需要 OpenLogic 專家的協助。

    多數支援個案的起因並非軟件本身存在錯誤，而是涉及兩項或多項技術的問題，此時，擁有具備全堆疊操作專業知識的單一供應商就顯得格外重要。OpenLogic 能更快地排除故障並協助您恢復完整功能，因為 OpenLogic 能全面評估整個技術堆疊的狀況。

     

  5. 提供公正建議，不受限於基礎設施或環境
    由於 OpenLogic 與特定軟件無關，其企業架構師能根據客戶的具體需求提供公正建議，而非基於贊助或商業利益考量。OpenLogic 始終以您的業務需求為優先，推薦最適合您的技術。

    此外，OpenLogic 深知現今企業的應用程式託管在各種環境中，包括內部部署、公共雲端及混合環境，並採用裸機、虛擬機器或容器等不同技術。OpenLogic 提供全面支援，不受限於您的基礎設施或環境，不會設下平台限制或支援範圍，更不會為了提供服務而強迫您遷移至公共雲端。

 

總結
在內部支援所有開源軟件包，可能會耗費大量資源，並分散開發人員的注意力，使其無法專注於核心業務的創新。與 OpenLogic 合作，您不僅能享有免費社群開源軟件的優勢，更能獲得具備深厚 OSS 專業知識的專家所提供的 SLA 保證與 24/7 全天候支援，讓您無後顧之憂。

關於 OpenLogic

OpenLogic 由 Perforce 提供完整的企業級支援和服務，專為在其基礎設施中使用開源軟件的公司企業而設計。我們支援超過 400 種開源技術，提供保證的服務水準協議（SLA），並可直接與經驗豐富的企業架構師溝通。透過我們的 24×7 工單支援、專業服務和培訓，OpenLogic 提供綜合且全面的開源支援解決方案。

About Version 2

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products. Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.