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How businesses are using Low Latency Streaming in 2022

  • July 15, 2022
  • 10 min read
How businesses are using Low Latency Streaming in 2022

Video is the most popular and engaging type of content. According to experts, streaming will account for 82% of all internet traffic in 2022.

Online broadcasting is used for solving business problems in many areas. Nowadays, livestreaming is being used in areas that no one could imagine before—e.g., as a sales tool in online stores.

Low latency plays a huge role in high-quality online streaming. After all, users want to watch videos in real time and feel like participants of an online event, not just spectators.

Today, we will explain what Low Latency Streaming is and how it helps solve problems in different business areas.

Latency: Causes and ways to reduce it

Latency is the time difference between what happens in the real world and when it appears on the viewer’s screen. All video broadcasts are subject to latency.

This is because streaming is a complex process that consists of several stages:

Streaming steps
  1. Filming and primary encoding of broadcast. The video is captured by a professional camera, computer webcam, or phone and sent for processing. The latency at this stage is 1–5 seconds.
  2. Transcoding. Video segments are merged and processed into the required formats and codecs that user devices can read and play. The latency at this stage is 2–10 seconds.
  3. Packing and encryption. The stream is being prepared for distribution to end users. The latency is 2–10 seconds.
  4. Internet distribution. The video is broadcast to users via a CDN (Content Delivery Network). The stream must be sent to the cache servers, and from there, it reaches the nearest users. The latency is 1–5 seconds.
  5. Playback. The player displays the broadcast on the user’s screen. As a rule, the player needs to load a certain number of segments into the buffer to start the playback. The latency is 10–40 seconds.

It turns out that stages 2–5 take 30 to 60 seconds. Which is very long.

Various technologies are used to reduce this time. For instance, on our Streaming Platform, all stages of broadcasting are optimized. As a result, we managed to reduce latency to just 1–5 seconds.

This parameter meets the definition of Low Latency Streaming—streaming with a latency of no more than 5 seconds.

You can read about the technologies that helped us achieve this result in our article “What advanced streaming platforms should be able to do in 2021”.

Projects that can’t do without Low Latency Streaming

Low latency has become an all-around trend in online broadcasting. It is particularly important in these areas:

  • Sports
  • Gaming and esports
  • Education
  • E-commerce
  • Finance
  • Auctions, lotteries, and gambling
  • Media and entertainment
  • Interpersonal communication

And this is by no means a complete list.

Low latency is the key requirement for broadcast quality. After all, if a video severely lags, you can lose a large part of your audience.

Imagine a webinar with an active discussion. The viewer asks a question but has to wait 30 seconds for an answer. Meanwhile, the speaker may move on to another topic, thinking there are no more questions.

Or imagine an intense match where the audience finds out about the decisive goal 50 seconds after it was scored—later than those who watched the broadcast on other platforms. The experience will be ruined, and next time, users will go to your competitors to watch football.

Even 10 seconds these days is a huge latency. That’s why more and more companies are looking for the right IT solutions to meet their streaming speed needs.

The acceptable latency level varies from task to task. Let’s see how Low Latency Streaming is applied in different areas and study some specific examples.

1. Sports

Most sports events are now broadcast online along with traditional delivery methods, such as via satellite, cable, or terrestrial broadcasting.

This is convenient for viewers: they don’t have to watch the match or competition on TV, as the broadcast is available on any device, including smartphones.

If you are broadcasting major sports events over the Internet, it is crucial that your stream keeps up with traditional broadcast channels. Otherwise, your users will notice it very quickly and leave to watch the broadcast on TV, where they will feel closer to real events.

The same is true for local sports events. It is imperative to make the broadcast as close to real time as possible, especially now during the pandemic and lockdown when most fans are not at the stadiums.

Before the introduction of Low Latency Streaming, the issue of latency during internet streaming was very significant. OTT streaming’s latency was 30–40 seconds longer than that of cable and satellite TV.

The problem felt especially bothersome during major events, such as the UEFA Champions League, FIFA World Cup, or UEFA European Football Championship, when fans loudly celebrated important goals and shared their joy on social networks. Those who watched the broadcast over the Internet learned about the goal before it could even reach their screens. Naturally, their experience was ruined.

But latency is not the only issue here. Major sporting events are usually watched by millions of viewers around the world. The network must be ready for high loads to cope with such a surge of traffic.

Low Latency Streaming, together with a reliable CDN, solves both problems. Thanks to modern technologies, the latency can be at least equal to TV broadcasting, and sometimes, the stream can be delivered even faster.

A recent example of successful sporting event streaming is the UEFA Champions League 2020, with smooth streaming provided by Gcore.

The broadcast was shown simultaneously on TV and the web portal. Both streams were broadcast at the same speed with minimal latency.

Moreover, we coped with peak loads perfectly. Even during the Bayern Munich vs. PSG final match, everything ran smoothly and without buffering. Gcore came on top, and the viewers were pleased.

2. E-commerce

Online retailers are now actively using streams as an additional sales channel. A new format has been introduced, live commerce, which allows you to purchase items during a broadcast with the participation of influencers, celebrities, or experts.

This format is gaining popularity as users increasingly make purchase decisions based on emotions. Video works very well in terms of audience engagement, creating a favorable atmosphere for shopping.

You can broadcast almost anything related to your store and goods:

  • Product reviews
  • Unboxing and unpacking
  • Try on hauls
  • Influencer or expert advice
  • Product presentations
  • Tutorials—e.g., how to use an item, make a purchase, arrange delivery, etc.

We discussed this format in detail in the article “How to boost online sales with streaming in 2021”.

The most common problem online retailers face when they want to launch live commerce is a latency of 30 seconds or more. Another big challenge is integrating the streaming platform with their service.

Minimal latency in this area is vital. Viewers should be able to ask an influencer or an expert a question. Interactivity works incredibly better for engagement than just video. However, with a 30-second pause between a question and an answer, both users and speakers are left feeling frustrated.

It is equally important that the video is delivered not only without latency but also in good quality. After all, you will be demonstrating goods, which means you want your audience to see them well.

Finally, streams on your website are much preferred to those on third-party services or social media. This means that the solution should easily integrate with your web application and not eat up your IT team’s time.

The most striking example of successful live commerce is probably Taobao Live. In 2020, the service generated $2.5 billion in revenue during the Bachelor’s Day sale.

Today, you have a choice of turnkey solutions for live commerce. There are special services that already have all the necessary features: purchase during the broadcast, comments, likes, etc.

3. Finance

The financial sector is not the most obvious type of business where online streaming can work. However, banks and investment companies have long been using livestreaming to interact with their audience.

The most common application is through webinars and online conferences. These can be online events for regular clients aimed at increasing their financial literacy or conferences for entrepreneurs and investors with the participation of experts.

One of the latest trends is the use of video calls to communicate with customers and answer their questions. According to a recent survey, about 30% of customers are happy to use this method of communication with their bank. And this number is higher among the younger generation.

In any case, video is a pretty effective channel for interacting with customers and attracting new users. And if you’re not using it yet, you’re already losing to your competition.

Here again, low latency is a must. If you’re hosting an interactive event or video call and allow your audience to ask questions, it is crucial they get the answers right away. A latency of 30–40 seconds will annoy both parties and kill user engagement.

Free external platforms like YouTube or Twitch will not work here. They cannot provide the required speed. In addition, you would have to divert users to third-party resources where they could see your competitors’ ads.

As with e-commerce, it’s important to keep viewers on your website in the financial sector. This means you need a solution that can be quickly integrated.

4. Education

This is an area that is not new to streaming. Distance learning gained popularity during the pandemic when not only separate educational platforms but also public schools and universities had to use it.

Online learning proved to be more convenient than traditional models:

  • Students don’t need to get to class. They can simply connect to the resource from home.
  • No geographical restrictions. Students and teachers can be located in different cities or even countries. Students from different regions can study in one group.
  • More learning opportunities. Along with the broadcast, you can show a presentation or, for example, run tests in real time and discuss the results.

Low Latency Streaming is highly relevant in learning since it is necessary to ensure real-time communication between students and teachers. Ideally, the latency should not exceed 1 second.

Various third-party services can be used to teach lessons, such as Zoom. They were a good starting point when there was a need to quickly switch from face-to-face to distance learning. But in the long run, this is not the best solution, and here’s why:

  • They have certain restrictions, such as the participant number or call time.
  • If something goes wrong or your students have connection issues, you won’t be able to promptly get in touch with Tech Support and fix the problem.
  • Users will not be on your resource and may see third-party ads—maybe even those of your competitors!

Therefore, high-quality streaming requires a platform that can provide real-time interaction and be quickly integrated with your resource.

Streaming is successfully used in education. There are many educational platforms, such as LinkedIn Learning, Coursera, and Skillshare. Students go there to watch pre-recorded courses and livestreams of classes. Some platforms, like Coursera, even partner with universities and offer their curricula entirely online.

5. Gaming and esports

Game streaming is probably one of the most popular areas of online broadcasting. The main trends as of late focus on real-time on-screen demonstrations and feedback from the audience.

Live chat streams are where gaming communities get together and communicate.

Twitch is currently one of the leading game streaming platforms. It allows almost any gamer to stream and host large events with a large audience.

However, the platform has plenty of internal rules and restrictions that are not always easy to comply with. And in case of accidental violations, your stream and account can be blocked.

For interactive broadcasts, even a 4-second latency can be decisive. And wouldn’t it also be nice if the IT solution provided the option of content monetization through advertising and sponsorship?

The esports and game streaming market is enormous and brings big bucks to big players. For example, in 2020, the Chinese platform Bilibili purchased the exclusive broadcast rights to the League of Legends Championship, Mid-Season Invitational, and League of Legends All-Star for three consecutive years and a total of $113 million. It was the biggest deal in the industry and helped make the Chinese video game streaming market bigger than Twitch, YouTube Gaming, and Facebook Gaming.

6. Auctions and gambling

The use of Low Latency Streaming in this area has been recently growing. Livestreaming of gambling has already gained popularity comparable to standard game streaming. Experienced players organize streams from online and offline casinos, bet real money, and win.

Such broadcasts attract a large audience and help both streamers and casinos make money.

Auctions are also moving online. Instead of coming to an auction in person, participants can connect online. It is more convenient and can help attract an even bigger audience.

Along with minimal latency, auctions also require high video quality, as the participants need to see the lots.

Lastly, it is critical that the stream is stable and delivered to all regions at the same speed. If one of the stream participants is disconnected or experiences longer latency, they will not be able to raise the bet for the desired item in time. The disappointment will make them go to competitors with a more stable stream.

Auctions are 100% interactive. Gambling can be broadcast both in standard and interactive formats. The latter option helps you engage your audience more efficiently. It turns players into full-fledged participants of the game rather than simple spectators.

Shared viewing is perfect for both types of events. This is an innovative form of streaming where viewers connect with a camera and a microphone to watch a broadcast and can join groups to discuss what is happening in real time.

This form of broadcasting unites participants and immerses them in action.

Talking about successful streams in this area, we can use Property Auctions as an example. In 2020, during the U.K. lockdown, they managed to quickly switch to an online format.

Property Auctions raised more than £75 million during that period and received the status of the most successful online auction in the U.K. Unsurprisingly, they decided to keep the online format permanently.

Turnkey Low Latency Streaming for various businesses

We talked about different areas where Low Latency Streaming is successfully used and helps solve problems.

But for livestreams to really work, they have to meet certain requirements. These requirements vary from project to project. However, some general criteria apply to any business:

  • Low latency—up to 4 seconds, and in some cases no more than 1 second.
  • Stream stability and availability in different parts of the world.
  • High quality—ideally 4K or even 8K.
  • Quick and easy integration with your resource.

Gcore Streaming Platform meets all these criteria. It is a turnkey IT solution for online streaming. We cover all stages of broadcasting—from video capture to playback in the player. Although, if necessary, we can implement separate blocks into your project.

We provide a latency of up to 4 seconds—or 1 second depending on your project requirements—while maintaining a quality of 4K and 8K. We deliver videos faster than most modern channels.

One of our main advantages is integration without coding. We will implement streaming on your web resource with full customization and player branding in 1 to 2 days without involving your IT team.

More facts about our Streaming Platform:

  • We deliver the stream anywhere in the world at the same speed since our platform is integrated with a global CDN.
  • We broadcast streams to 1,000,000+ users without crashes and buffering.
  • We use transcoding and adaptive bitrate technologies to make your stream available on any device with any internet connection.
  • We protect your content from illegal viewing and copying.
  • We provide convenient tools for monetization.

You can test our platform for free and check the speed and reliability of our streams firsthand.

More about Streaming Platform

Summary

  1. Low Latency Streaming implies latency of no more than 4–5 seconds. Many areas of business use it to solve their problems. Low latency is becoming a trend in a number of industries.
  2. Streaming is a complex process that consists of several stages. To deliver the video to the viewer in less than 5 seconds, each stage needs to be optimized. To do this, you need to use modern technologies speeding up delivery.
  3. The highest streaming speed is a must in such industries as sports, education, gaming, e-commerce, gambling, auctions, etc. The acceptable latency depends on the specifics of the business.
  4. For example, for sports, it is important that the broadcast over the Internet doesn’t lag behind the TV, is available anywhere in the world, and can accommodate more than 1,000,000 viewers simultaneously.
  5. E-commerce and financial services use streaming as an additional sales channel and a means of attracting customers. It is critical to maintaining a dialogue between the expert and the viewer in real time without sacrificing video quality. In addition, the solution must be easily integrated into your web application so that you do not have to take customers to third-party platforms.
  6. Education is actively switching to distance learning. Reducing latency to a minimum for students to freely communicate with their teacher is especially important.
  7. Esports and gaming remain among the most popular areas where streaming is used. Nowadays, there is a trend toward real-time and interactive demonstration of events. Many are looking for an alternative to Twitch as it has too many restrictions.
  8. Low Latency Streaming is actively developing in the area of auctions and gambling. An innovative model, collaborative viewing, is just perfect for these areas.
  9. Gcore Streaming Platform has turnkey solutions for any business. We provide stable broadcasts with minimal latency to multimillion audiences.

Our platform will help bring any live broadcasting project to life. If you’d like some advice on choosing the right solution for you, take advantage of a free consultation.

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By caching content at the edge before it’s requested, platforms avoid the delay caused by round-trips to origin servers. This is especially critical for:Live sports and eventsInteractive or real-time formats (e.g., polls, chats, synchronized streams)Edge environments with unreliable last-mile connectivityFor instance, during the 2024 Copa América, mobile viewers in remote areas of Argentina were able to stream matches without delay thanks to proactive edge caching based on geo-temporal viewing predictions.How it worksAt the core of predictive streaming is smart caching: the process of storing data closer to the end user before it’s explicitly requested. Here’s how it works:Data ingestion: The system gathers data on user behavior, device types, content popularity, and location-based trends.Behavior modeling: AI models identify patterns (e.g., binge-watching behaviors, peak-hour traffic, or regional content spikes).Pre-positioning: Based on predictions, the system caches video segments, trailers, or interactive assets to edge servers closest to where demand is expected.Real-time adaptation: As user behavior changes, the system continuously updates its caching strategy.Use cases across streaming ecosystemsSmart caching and predictive delivery benefit nearly every vertical of streaming.Esports and gaming platforms: Live tournaments generate unpredictable traffic surges, especially when underdog teams advance. Predictive caching helps preload high-interest match content, post-game analysis, and multilingual commentary before traffic spikes hit. This helps provide global availability with minimal delay.Corporate webcasts and investor events: Virtual AGMs or earnings calls need to stream seamlessly to thousands of stakeholders, often under compliance pressure. Predictive systems can cache frequently accessed segments, like executive speeches or financial summaries, at regional nodes.Education platforms: In EdTech environments, predictive delivery ensures that recorded lectures, supplemental materials, and quizzes are ready for users based on their course progression. This reduces lag for remote learners on mobile connections.VOD platforms with regional licensing: Content availability differs across geographies. Predictive caching allows platforms to cache licensed material efficiently and avoid serving geo-blocked content by mistake, while also meeting local performance expectations.Government or emergency broadcasts: During public health updates or crisis communications, predictive streaming can support multi-language delivery, instant replay, and mobile-first optimization without overloading networks during peak alerts.Looking forward: Personalization and platform governanceWe predict that the next wave of predictive streaming will likely include innovations that help platforms scale faster while protecting performance and compliance:Viewer-personalized caching, where individual user profiles guide what’s cached locally (e.g., continuing series, genre preferences)Programmatic cache governance, giving DevOps and marketing teams finer control over how and when content is distributedCross-platform intelligence, allowing syndicated content across services to benefit from shared predictions and joint caching strategiesGcore’s role in the predictive futureAt Gcore, we’re building AI-powered delivery infrastructure that makes the future of streaming a practical reality. Our smart caching, real-time analytics, and global edge network work together to help reduce latency and cost, optimize resource usage, and improve user retention and stream stability.If you’re ready to unlock the next level of content delivery, Gcore’s team is here to help you assess your current setup and plan your predictive evolution.Discover how Gcore streaming technologies helped fan.at boost subscription revenue by 133%

Protecting networks at scale with AI security strategies

Network cyberattacks are no longer isolated incidents. They are a constant, relentless assault on network infrastructure, probing for vulnerabilities in routing, session handling, and authentication flows. With AI at their disposal, threat actors can move faster than ever, shifting tactics mid-attack to bypass static defenses.Legacy systems, designed for simpler threats, cannot keep pace. Modern network security demands a new approach, combining real-time visibility, automated response, AI-driven adaptation, and decentralized protection to secure critical infrastructure without sacrificing speed or availability.At Gcore, we believe security must move as fast as your network does. So, in this article, we explore how L3/L4 network security is evolving to meet new network security challenges and how AI strengthens defenses against today’s most advanced threats.Smarter threat detection across complex network layersModern threats blend into legitimate traffic, using encrypted command-and-control, slow drip API abuse, and DNS tunneling to evade detection. Attackers increasingly embed credential stuffing into regular login activity. Without deep flow analysis, these attempts bypass simple rate limits and avoid triggering alerts until major breaches occur.Effective network defense today means inspection at Layer 3 and Layer 4, looking at:Traffic flow metadata (NetFlow, sFlow)SSL/TLS handshake anomaliesDNS request irregularitiesUnexpected session persistence behaviorsGcore Edge Security applies real-time traffic inspection across multiple layers, correlating flows and behaviors across routers, load balancers, proxies, and cloud edges. Even slight anomalies in NetFlow exports or unexpected east-west traffic inside a VPC can trigger early threat alerts.By combining packet metadata analysis, flow telemetry, and historical modeling, Gcore helps organizations detect stealth attacks long before traditional security controls react.Automated response to contain threats at network speedDetection is only half the battle. Once an anomaly is identified, defenders must act within seconds to prevent damage.Real-world example: DNS amplification attackIf a volumetric DNS amplification attack begins saturating a branch office's upstream link, automated systems can:Apply ACL-based rate limits at the nearest edge routerFilter malicious traffic upstream before WAN degradationAlert teams for manual inspection if thresholds escalateSimilarly, if lateral movement is detected inside a cloud deployment, dynamic firewall policies can isolate affected subnets before attackers pivot deeper.Gcore’s network automation frameworks integrate real-time AI decision-making with response workflows, enabling selective throttling, forced reauthentication, or local isolation—without disrupting legitimate users. Automation means threats are contained quickly, minimizing impact without crippling operations.Hardening DDoS mitigation against evolving attack patternsDDoS attacks have moved beyond basic volumetric floods. Today, attackers combine multiple tactics in coordinated strikes. Common attack vectors in modern DDoS include the following:UDP floods targeting bandwidth exhaustionSSL handshake floods overwhelming load balancersHTTP floods simulating legitimate browser sessionsAdaptive multi-vector shifts changing methods mid-attackReal-world case study: ISP under hybrid DDoS attackIn recent years, ISPs and large enterprises have faced hybrid DDoS attacks blending hundreds of gigabits per second of L3/4 UDP flood traffic with targeted SSL handshake floods. Attackers shift vectors dynamically to bypass static defenses and overwhelm infrastructure at multiple layers simultaneously. Static defenses fail in such cases because attackers change vectors every few minutes.Building resilient networks through self-healing capabilitiesEven the best defenses can be breached. When that happens, resilient networks must recover automatically to maintain uptime.If BGP route flapping is detected on a peering session, self-healing networks can:Suppress unstable prefixesReroute traffic through backup transit providersPrevent packet loss and service degradation without manual interventionSimilarly, if a VPN concentrator faces resource exhaustion from targeted attack traffic, automated scaling can:Spin up additional concentratorsRedistribute tunnel sessions dynamicallyMaintain stable access for remote usersGcore’s infrastructure supports self-healing capabilities by combining telemetry analysis, automated failover, and rapid resource scaling across core and edge networks. This resilience prevents localized incidents from escalating into major outages.Securing the edge against decentralized threatsThe network perimeter is now everywhere. Branches, mobile endpoints, IoT devices, and multi-cloud services all represent potential entry points for attackers.Real-world example: IoT malware infection at the branchMalware-infected IoT devices at a branch office can initiate outbound C2 traffic during low-traffic periods. Without local inspection, this activity can go undetected until aggregated telemetry reaches the central SOC, often too late.Modern edge security platforms deploy the following:Real-time traffic inspection at branch and edge routersBehavioral anomaly detection at local points of presenceAutomated enforcement policies blocking malicious flows immediatelyGcore’s edge nodes analyze flows and detect anomalies in near real time, enabling local containment before threats can propagate deeper into cloud or core systems. Decentralized defense shortens attacker dwell time, minimizes potential damage, and offloads pressure from centralized systems.How Gcore is preparing networks for the next generation of threatsThe threat landscape will only grow more complex. Attackers are investing in automation, AI, and adaptive tactics to stay one step ahead. Defending modern networks demands:Full-stack visibility from core to edgeAdaptive defense that adjusts faster than attackersAutomated recovery from disruption or compromiseDecentralized detection and containment at every entry pointGcore Edge Security delivers these capabilities, combining AI-enhanced traffic analysis, real-time mitigation, resilient failover systems, and edge-to-core defense. In a world where minutes of network downtime can cost millions, you can’t afford static defenses. We enable networks to protect critical infrastructure without sacrificing performance, agility, or resilience.Move faster than attackers. Build AI-powered resilience into your network with Gcore.Check out our docs to see how DDoS Protection protects your network

Introducing Gcore for Startups: created for builders, by builders

Building a startup is tough. Every decision about your infrastructure can make or break your speed to market and burn rate. Your time, team, and budget are stretched thin. That’s why you need a partner that helps you scale without compromise.At Gcore, we get it. We’ve been there ourselves, and we’ve helped thousands of engineering teams scale global applications under pressure.That’s why we created the Gcore Startups Program: to give early-stage founders the infrastructure, support, and pricing they actually need to launch and grow.At Gcore, we launched the Startups Program because we’ve been in their shoes. We know what it means to build under pressure, with limited resources, and big ambitions. We wanted to offer early-stage founders more than just short-term credits and fine print; our goal is to give them robust, long-term infrastructure they can rely on.Dmitry Maslennikov, Head of Gcore for StartupsWhat you get when you joinThe program is open to startups across industries, whether you’re building in fintech, AI, gaming, media, or something entirely new.Here’s what founders receive:Startup-friendly pricing on Gcore’s cloud and edge servicesCloud credits to help you get started without riskWhite-labeled dashboards to track usage across your team or customersPersonalized onboarding and migration supportGo-to-market resources to accelerate your launchYou also get direct access to all Gcore products, including Everywhere Inference, GPU Cloud, Managed Kubernetes, Object Storage, CDN, and security services. They’re available globally via our single, intuitive Gcore Customer Portal, and ready for your production workloads.When startups join the program, they get access to powerful cloud and edge infrastructure at startup-friendly pricing, personal migration support, white-labeled dashboards for tracking usage, and go-to-market resources. Everything we provide is tailored to the specific startup’s unique needs and designed to help them scale faster and smarter.Dmitry MaslennikovWhy startups are choosing GcoreWe understand that performance and flexibility are key for startups. From high-throughput AI inference to real-time media delivery, our infrastructure was designed to support demanding, distributed applications at scale.But what sets us apart is how we work with founders. We don’t force startups into rigid plans or abstract SLAs. We build with you 24/7, because we know your hustle isn’t a 9–5.One recent success story: an AI startup that migrated from a major hyperscaler told us they cut their inference costs by over 40%…and got actual human support for the first time. What truly sets us apart is our flexibility: we’re not a faceless hyperscaler. We tailor offers, support, and infrastructure to each startup’s stage and needs.Dmitry MaslennikovWe’re excited to support startups working on AI, machine learning, video, gaming, and real-time apps. Gcore for Startups is delivering serious value to founders in industries where performance, cost efficiency, and responsiveness make or break product experience.Ready to scale smarter?Apply today and get hands-on support from engineers who’ve been in your shoes. If you’re an early-stage startup with a working product and funding (pre-seed to Series A), we’ll review your application quickly and tailor infrastructure that matches your stage, stack, and goals.To get started, head on over to our Gcore for Startups page and book a demo.Discover Gcore for Startups

Introducing FastEdge Triggers: real-time edge logic

When you're building real-time applications, whether for streaming platforms, SaaS dashboards, or security-sensitive services, you need content that adapts on the fly. Blocking suspicious IPs, injecting personalized content, transforming media on the edge—these should be fast, scalable, and reliable.Until now, they weren't.Developers and technical teams often had to work across multiple departments to create brittle, hardcoded solutions. Each use case, like watermarking video or rewriting headers, required a custom integration. There was no easy way to run logic dynamically at the edge. That changes with FastEdge Triggers.Real-time logic, built into the edgeFastEdge Triggers let you execute custom serverless logic at key moments in the HTTP lifecycle:on_request_headerson_request_bodyon_response_headerson_response_bodyFastEdge is built on the proxy-wasm standard, making it easy to adapt existing proxy-wasm applications (e.g., for Envoy or Kong) for use with Gcore. These trigger types align directly with proxy-wasm conventions, meaning less friction for developers familiar with modern proxy architectures.This means that you can now:Authenticate users' tokens, such as JWTBlock access by IP, region, or user agentInject CSS, HTML, or JavaScript into responsesTransform images or convert markdown to HTML before deliveryAdd security tokens or watermarks to video contentRewrite or sanitize request headers and bodiesNo backend round-trips. No manual routing. Just real-time, programmable edge behavior, backed by Gcore's global infrastructure.While FastEdge enables instant logic execution at the edge, response-stage triggers (on_response_headers and on_response_body) naturally depend on receiving data from the origin before acting. Even so, transformations happen at the edge, reducing backend load and improving overall efficiency.Our architecture means that FastEdge logic is executed in ultra-low-latency environments, tightly coupled with CDN. Triggers can be layered across multiple stages of a request without performance degradation.Built for developersFastEdge Triggers were built to solve three core pain points for technical teams:Hard to scale: Custom logic used to require bespoke, team-specific workaroundsHard to maintain: Even single-team solutions became brittle without proper edge infrastructureLimited flexibility: Legacy CDN logic couldn't support complex, dynamic behaviorWith FastEdge, developers have full control: no DevOps bottlenecks, no workarounds, no compromises. Logic runs at the edge, not your origin, minimizing backend exposure. FastEdge apps execute in isolated, sandboxed environments, reducing the risk of vulnerabilities that might otherwise be introduced when logic runs on central infrastructure.How it works behind the scenesEach FastEdge application is written in Rust or AssemblyScript and connected to the HTTP request lifecycle through Gcore's configuration interface. Apps are linked to trigger types through the CDN resource settings page in the Gcore Customer Portal.Configuring FastEdge Triggers from the CDN resource settings screen in the Gcore Customer PortalHere's what happens under the hood:You assign a FastEdge app to a trigger point.Our Core Proxy detects that trigger and automatically routes execution through your custom logic.The result is returned before hitting cache or origin, modified, enriched, and secured.This flow is deeply integrated with our CDN service, delivering minimal latency with zero friction.A sequence diagram showing how FastEdge Triggers works under the hood A real-life use case: markdown to HTML at the edgeHere's a real-world example that shows how FastEdge Triggers can power multi-step content transformation without a single backend server.One customer wanted to serve Markdown-based documentation as styled HTML, without spinning up infrastructure. Using this FastEdge app written in Rust, they achieved just that.The app listens at three trigger points: on_request_headers, on_response_headers, and on_response_bodyIt detects requests for .md files and converts them on the flyThe HTML is served directly via CDN, no origin compute requiredYou can see it live here:README renderedTerraform docs renderedThis use case showcases FastEdge's ability to orchestrate multi-stage logic at the edge: ideal for serverless documentation, lightweight rendering, or content transformation pipelines.Ready to build smarter at the edge?FastEdge Triggers are available now for all FastEdge customers. If you're looking to modernize your edge logic, simplify architecture, and ship faster with fewer backend dependencies, FastEdge is built for you.Reach out to your account manager or contact us to activate FastEdge Triggers in your environment.Try Fastedge Triggers

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