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As we wrap up the summer season and check off the back to school list, the countdown is on to the busiest sales period in US eCommerce. Traffic can surge up to 

 during Cyber 5. Retailers risk losing millions if sites experience disruptions or delays over the Black Friday weekend.

and shoppers ready to splurge, Cyber 5 can account for a significant part of annual revenue. A 2021 

 showed shoppers plan to spend 50% of holiday budgets during Cyber 5. However, consumers can’t buy when a site goes down. And 50% won’t stick around if pages take 

The Cyber 5 peak shopping period puts eCommerce infrastructure through the ultimate stress test and any consequences can have a long lasting impact. The key is taking action now to improve website resilience, get control of bots, optimize virtual waiting rooms, safeguard coupons, and improve performance even at scale.

Say bye to "bad" bots, DDoS attacks, and peak traffic crashes

Modern eCommerce landscapes often experience overwhelming traffic surges during promotions, pushing websites to the brink of crashing. Virtual waiting rooms emerge as a remedy by effectively regulating user access and preventing overloads, ensuring stability even during peak demand. This proactive approach safeguards smooth user experiences and cultivates loyalty by reducing frustration during spikes.

While managing traffic is a necessity, it's worth noting that not all visitors are genuine customers. In the midst of the Black Friday shopping frenzy, virtual waiting rooms play a pivotal role in filtering out approximately 

 attributed to bots and fake users, conserving valuable computing resources for authentic customers. Furthermore, these waiting rooms act as a deterrent to bots attempting to hoard limited-stock items for resale, preserving fair access for actual shoppers.

, exploiting legitimate traffic to mask malicious activities. By distinguishing and filtering out such traffic, virtual waiting rooms bolster the overall security of platforms.

 seek discounts and offers when deciding to buy from a retailer or brand. This trend intensifies during the holiday season, as 

 businesses compete to capture consumers' attention with irresistible deals.

Securing these incentives is vital, striking a balance between engaging users and curbing misuse. Fraud prevention is key to tackling code exploitation. Careful tracking mechanisms are essential to deter misuse proactively.

In the anonymity of online shopping, unclear customer details enable easier coupon abuse, damaging profits. 

 counters this by assigning unique identifiers to track coupon usage without cookies. Each coupon receives its own distinct fingerprint made of letters, numbers and symbols, linking it to transactions or users.

During redemption, the system checks the coupon's fingerprint against valid codes, foiling counterfeits by comparing fingerprints. Over time, it spots suspicious patterns like identical prints by multiple users - indicating potential fraud. With 

, fingerprinting detects odd behaviors, triggering alerts to resolve disputes. Fingerprinting enhances coupon security and traceability.

Ecommerce website optimization is now essential

Fast website performance isn't just a choice – it's a competitive necessity. Users expect quick, seamless experiences, and delays lead to lost conversions and revenue. Extensive research confirms the link between site speed and business success. Sites loading in a second see 

 and even a 0.1-second speed improvement can mean an 

 say page speed affects their buying decision. However, large eCommerce businesses and retailers face complex challenges in maintaining fast site speed at scale. Fragmented efforts and legacy tech can complicate matters. Automated performance proxies offer a unique solution to optimize pages and assets on-the-fly from any device, at scale.

The edge advantage: Macrometa eCommerce & retail solutions

Navigating the ever-changing digital landscape of 

 requires prioritizing exceptional user experiences and robust defenses against online threats. From enhancing fraud detection and site resilience to driving up performance, Macrometa’s real-time approach addresses the diverse challenges of eCommerce and retail.

Optimize experiences and defenses with virtual waiting room services

Beyond limiting users and filtering traffic to help thwart DDoS attacks and bots, Macrometa’s Virtual Waiting Room Services act as an effective buffer between users and origin services to ensure optimal performance. A continuous feedback mechanism dynamically adjusts the dequeuing rates, while a seamless user experience and fairness in resource allocation are maintained. Upon visiting the waiting room page, users are informed of wait times and queue status in real time. Administrators can see valuable insights into user behavior and queue metrics, and receive threshold alerts. 

Enhance user tracking and fraud detection with fingerprinting

Macrometa’s Fingerprinting creates non-cookie identifiers from browser attributes to identify customers. Fingerprint profiles update in real time instead of becoming stale. Advanced machine learning models strengthen accuracy, address fingerprint shifts, and detect spoofing or misuse like coupon fraud. This is critical during sales events when attackers are active and consumers may misunderstand coupon rules. With responsible fingerprinting, Macrometa empowers companies to maintain personalized experiences while adhering to privacy regulations. The solution uses lightweight code to minimize performance impact, unlike heavy fingerprinting scripts.

Drive up page loads, performance, and revenue

Macrometa's PhontonIQ Performance Proxy (P3)

 optimizes delivery between CDN and origin infrastructure. PhotonIQ employs AI optimization, edge processing, and holistic monitoring to dramatically improve site speed. Running on Macrometa’s 

 (GDN) of edge nodes, P3 accelerates your site transparently without any changes to code and works seamlessly with existing infrastructure and apps. Unique capabilities include AI-Powered dynamic page optimization that can increase site speed over 70% and significantly boost Core Web Vitals scores - even at scale.

Get ready for the holiday season in just 60 days!

Learn about Macrometa’s AI-powered solutions, which are designed to boost website resiliency, effectively manage bots, protect coupons, and streamline virtual waiting rooms. Or 

 today to ensure uptime and peak performance during the holiday sales crunch.

Holiday Countdown: Optimize eCommerce Defenses & Performance

Edge Side Tag Management Series

Welcome back to our series on tag management! In our 

, we looked at traditional tag management approaches including their benefits and limitations. Now, we’ll explore edge side tag management - and how it aims to provide improved flexibility, speed, scale, and control.

In this post, we’ll examine the benefits of edge side tagging, including instant iteration, built-in redundancy, and enhanced performance. Let’s dive into the potential opportunities edge side tag management enables for digital teams and then cover Macrometa’s PhotonIQ solution.

Massive opportunity of edge side tag management

 - offers a vastly superior approach compared to browser-based and centralized server side models.

With edge side tag management, tags are executed within cloud functions distributed globally at the network edge: By running tags as close as possible to 

, edge side architecture provides unmatched benefits:

Tags can fire at the first network request before anything is sent to origin servers. You get full insight into the entire 

No more tag traffic needs to flow back to central servers. Pages load faster.

- Custom code can be executed at the edge to customize tag logic and capabilities.

 - Data stays within your controlled edge environment instead of leaking to external tags or central servers.

 Changes deploy at the edge in seconds without centralized release processes.

 - Stateless edge servers easily scale to handle spikes without provisioning delays.

- Edge networks provide native redundancy across data centers and regions.

For all these reasons, leading digital organizations are adopting edge side tag management to achieve new levels of flexibility, performance, scale, and cost efficiency.

Introducing PhotonIQ - edge side tag management from Macrometa

Macrometa provides a cloud native edge side tag management called PhotonIQ as part of their dynamic site performance acceleration suite built on its 

With PhotonIQ, tags execute within isolated secure edge functions distributed across 

 globally. This geo-distributed architecture brings tag management to the edge near end users.

 PhotonIQ executes tags in <50ms at the edge for real-time data flow.

 - Send tag data to tools like Google Analytics, Amplitude, Snowplow, Segment out-of-the-box.

 (streaming and complex event processing engine within Macrometa) with Javascript capability allows edge side tags to do things impossible in browser solutions.

- Deploy tags across global regions to keep traffic local and redundant.

 - View tag performance, traffic, errors, and more through PhotonIQ dashboards.

 Update tags and business logic in seconds without any backend deployments.

For digital teams, PhotonIQ provides an enterprise-grade edge side tag management system that's simple, flexible, and affordable. Organizations gain fine-grained control without the DevOps overhead.

Benefits of edge side tag management with PhotonIQ

Migrating to PhotonIQ edge side tag management creates tremendous business value including:

 - Capture every user action from the first network call for perfectly accurate 

 by 50% or more by eliminating excess tag requests and trips to central servers.

 - Roll out new tags, experiments, and experiences in seconds without engineering bottlenecks.

 - Gain visibility into tag performance, sequencing, and data to build organization-wide trust.

- Reduce developer time spent on tag management by 90% or more. Focus talent on innovation.

 - Keep data within your controlled edge environment to meet 

 - Scale to billions of tag executions per month without architecture limits or DevOps delays.

 - Distribute tags globally to cut latency and keep traffic within regions.

Tag management has evolved from early browser-based solutions to centralized servers and now next-generation edge side models like Macrometa's PhotonIQ.

For organizations where customer experience, developer productivity, and marketing agility are critical to growth, PhotonIQ 

By executing tags at the edge globally, PhotonIQ overcomes the constraints of legacy solutions to provide flexibility and scale not possible just 24 months ago. For digital teams racing to convert, engage, and retain users, PhotonIQ edge side tag management is the future. Learn more today by chatting with a 

Unlocking Speed With Edge Side Tag Management

Tag management is now essential infrastructure for digital analytics, marketing optimization, and personalization. However, legacy browser-based tag management has major limitations in flexibility, performance, accuracy, and control for websites.

​Tags like trackers can drastically reduce website speed, with a 

 showing a load time of 9.46 seconds with trackers, against just 2.69 seconds without, underscoring a balance between gaining insights and maintaining speed.

This blog examines the role and value of tag management, compares architectures and sets the stage for the transformative benefits edge side tagging delivers for modern digital enterprises.

Tags are snippets of tracking code used to collect data on visitor and customer actions on websites, apps and other digital touchpoints. Tags enable real-time data collection to understand digital experiences and optimize business outcomes.

Tag management systems (TMS) provide a way to deploy and manage tags used for tracking, 

, advertising, and more. With a TMS, tags can be managed from a central interface instead of hard-coding them on every page.

Tag management enables connecting insights across 

, audiences and systems to improve experiences end-to-end.

Key benefits of tag management include faster implementation, improved consistency, enhanced flexibility, lower risk, and optimized 

. With these advantages, the majority of large companies rely on tag management solutions to deliver high ROI.

However, traditional browser-based tag management (i.e., client-side tag management) has major limitations in today's business environment.

The high hidden costs of browser tag management

Since the early days of tag management, solutions have relied on a browser-based architecture. With this model, the TMS script is loaded in the header of web pages. This script asynchronously requests tags from a central server and loads them into the page after the initial HTML is parsed.

This offers obvious benefits over hard-coded tags. But there are also serious limitations including:

 -  Browser tags load late in the page request lifecycle, after the initial HTML is returned. This means key user actions like Initial 

 timing, time to first click, early page scrolling and engagement etc are missed. Without capturing these vital events, your analytics data will be incomplete and inaccurate. Critical parts of the user journey are lost.

 - While asynchronous browser tags seem "invisible", they still require additional HTTP requests and JavaScript execution that blocks other downloads and slows page rendering. This drag on performance hurts 

- External tag management systems have full access to fire tracking pixels and cookies on your site with little visibility or control from your end. This introduces security vulnerabilities and 

 - Although easier than hard-coded tags, deploying new tags in browser-based systems still often requires QA and troubleshooting support from your development teams. This bottleneck limits your ability to make rapid changes to support agile optimization and experimentation.

 - Browser tag management only allows packaged JavaScript tags. There's no ability to run custom code for advanced logic. This curtails innovation, such as creating enhanced tags with edge computing capabilities.

With the limitations of browser-based tagging exposed, many companies have explored centralized server side tag management solutions. With this model, tags are executed on a dedicated tag server, cloud-based TMS, or within backend application servers.

Tags can fire earlier before the HTML response is sent, improving data capture.

Tag management is controlled in your own infrastructure.

No frontend website changes are required.

However, centralized server side tagging has significant pitfalls:

- While tags fire earlier, you still have increased latency from the extra network hop to the central TMS server. 

 - Scaling requires procuring more centralized tag management infrastructure to handle traffic spikes. Costs grow rapidly.

 - New tags still need to be deployed on centralized servers. Agility is curtailed, especially for globally distributed teams.

 - A failure in the tagging server or zone can disrupt data collection across all traffic. Redundancy requires even more infrastructure.

In summary, centralized server side tagging improves data capture over browser-based solutions, but still falls short in achieving maximum performance, scalability, reliability, and deployment velocity.

 offers a superior model compared to browser and centralized server options. With edge side tagging, tag execution happens globally at the network edge near 

. This unlocks major advantages we’ll explore in Part 2 such as:

For organizations where customer experience and agility are critical, edge side tag management delivers the next evolution. In Part 2 of this series, we’ll do a deep dive into the benefits of edge side tagging and how it works.

The Evolution And Limitations of Tag Management - From Slow Pages To Fast Revenue

Data protection is a critical aspect of any organization's data strategy, and in today's world, it is becoming increasingly important. In 

, close to half of the respondents said that data sovereignty and industry compliance have been important topics when talking about future IT systems. The need for stringent data protection has been accelerated by the introduction of regulations that aim to protect the privacy of individuals. Failure to comply with these regulations can result in severe consequences for organizations, including fines and reputational damage that can impact the bottom line.

The General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the United States, the Personal Information Protection Law (PIPL) in China, and the Personal Information Protection and Electronic Documents Act (PIPEDA) in Canada are some of the most significant regulations affecting data protection in different regions of the world.

It is not just a question of regulatory laws per Jason Conyard, CIO of VMware, as he indicated in a 

, “customers want assurances about their data - how it is used, who it is shared with, and how it is protected.” The other consideration is protecting against cyber threats across different industries. Both data privacy and thwarting cyber attacks are key elements to ensure a company’s reputation, customers’ trust, business continuity, and future profitability.

In this blog we will explain how Macrometa provides features to maintain data privacy and how real-time data can aid cybersecurity efforts. We will begin by covering how Data Protection works with other components within the Macrometa platform, then go over specific features, cybersecurity, resiliency, and Macrometa’s SOC 2 certification.

The Macrometa GDN - a comprehensive solution platform with Data Protection

is comprised of three key components: the Global Data Mesh, Edge Compute, and Data Protection. These components work together to provide comprehensive solutions for organizations seeking to optimize their data infrastructure and unlock the full potential of their data.

 component enables data to be replicated and synchronized across multiple data centers and cloud regions worldwide, providing seamless data access and management. The 

 component enables data to be processed closer to where it is created and consumed, reducing latency and improving performance. The 

 component ensures compliance, security, and privacy for sensitive and regulated data through features like region-based secure vaults and data tokenization, allowing organizations to securely access, store, process, and analyze their data from anywhere in the world.

Exploring the benefits of Macrometa’s Data Protection

Data Protection is a critical aspect of the Macrometa GDN that allows organizations to have more control of their enterprise data with hyper locality for compliance and performance. With geo-distribution being a core feature of the Macrometa GDN, the ability to limit access to data by region and permissions is essential. The key features of Data Protection are:

 form the foundation for managing data distribution, replication, and synchronization across the distributed infrastructure of the GDN. They represent replication and synchronization rules between two or more data centers or cloud regions. GeoFabrics lets enterprises define policies for data placement and movement, ensuring that data is stored and processed in the appropriate locations based on latency, data sovereignty, and compliance requirements.

So many organizations today are global or multi-regional and have to manage the complexity of adhering to local privacy laws. Region-based secure vaults are designed to store sensitive PII data or regulated data in regional, country, or state-specific locations, ensuring compliance with data protection and privacy regulations. These vaults provide an additional layer of security, isolating sensitive data from the rest of the system and controlling access based on policies and permissions..

 is a key feature of the Macrometa GDN's Data Protection, enabling organizations to replace sensitive data with format-preserving tokens. This preserves the privacy and regulatory compliance of sensitive information while still allowing it to be used for processing and analysis. Data tokenization allows organizations to get a complete view of customer behaviors and patterns for better insights - without compromising privacy. For example, a primary account number (PAN) could be replaced with a random token like "ADF953JDL” to meet PCI-DSS requirements.

 are another key feature of the Macrometa GDN's Data Protection component. Anonymizers are functions that transform data into an anonymous or pseudonymous form, which cannot be used to identify an individual. The anonymized data can still be used for analysis, machine learning, or other purposes, without compromising the privacy of individuals. For example, names could be replaced with "User A" and precise locations could be generalized to only show the city or region.

One important aspect that strengthens data protection is having 

 methods in place. Cybersecurity will continue to be a top priority for 

. The threat from cyber criminals is growing - 

 shows reported cybercrime losses jumped 49% last year compared to 2021, exceeding $10 billion. With attacks on the rise, investing in cybersecurity remains crucial for companies.

Macrometa's Global Data Network (GDN) platform offers various features to enhance an organization’s cybersecurity by providing real-time data streaming to existing Log Analytics, Secure Access Service Edge (SASE), and Security information and event management (SIEM) solutions. Because Macrometa has over 175

 (PoPs) around the world, the roundtrip time for data analysis and processing is significantly faster than the centralized cloud. This real-time data can help organizations detect fraud faster - like credit card skimming at gas stations.

Enhancing fault tolerance and availability

The Macrometa GDN provides fault tolerant disaster recovery with its distributed data architecture and compute fabrics, delivering a flexible data integration platform. By using 

Conflict-free Replicated Data Types (CRDTs)

 across thousands of geographic locations, the Macrometa GDN provides greater scalability and fault tolerance by eliminating the need for a centralized arbitrator.

By co-locating microservices and data on the same node, the Macrometa GDN improves availability and reduces the risk of network failures or outages that can impact the ability to access data. In addition, Macrometa's approach of using an append-only log with materialized views ensures that the database can handle the sudden increase in workload without sacrificing performance or availability.

End-to-end encryption and SOC 2 certified platform

Macrometa prioritizes data security by implementing end-to-end encryption for data in motion and at rest, ensuring that an organization’s sensitive information is protected at all times. This robust approach to data security helps safeguard data from unauthorized access, interception, or tampering, providing an additional layer of protection for  organizations.

The Macrometa Global Data Network (GDN) has also been certified by third party auditors for the Trust Criterias of Security, Availability and Confidentiality. The

 SOC 2 auditing and certification process

 looked at Macrometa's Security Controls to ensure that the Macrometa GDN is operating in a secure, controlled, and audited environment. Macrometa demonstrated that the systems and data stored are protected against unauthorized access and unauthorized disclosure, and information and systems are available for operation and used to manage an organization’s most sensitive data workloads.

In conclusion, data protection is becoming increasingly important, and organizations need to maintain the security and privacy of sensitive data and take steps to ensure regulatory compliance. Macrometa's GDN platform provides features like region-based secure vaults, data tokenization and anonymizers to enable data privacy for sensitive and regulated data. With Macrometa solutions, organizations can store and process sensitive data in compliance with data privacy regulations and protect the privacy of individuals - all while maintaining application performance. To learn more about Macrometa Data Protection and 

 designed to solve the most challenging operational problems, chat with a 

Data Protection In The Age Of Stringent Privacy Regulations And Cyber Threats

Today's organizations face unique problems that defy their current data solutions - issues that may seem unsolvable, having been only partially addressed by past fixes. As data volumes and demand for speed increase, businesses are struggling to fully 

 from data. This means confronting lingering data problems head-on to gain competitive advantage.

The question becomes how to tap into data in completely new ways, pushing beyond today’s customer expectations and industry norms to prepare for what’s next. Small 

 gains are not enough anymore. To stand out from competition, companies must leverage data at speeds that redefine what's possible, tackling previously “impossible” challenges in the process.

Not only are IT executives feeling the burden of balancing shrinking budgets and delivering innovation, they are under pressure to “accelerate time to value from digital investments” based on a 2022 Gartner survey as highlighted in an 

Given this crucial and timely data task at hand, businesses must choose between building a solution from scratch or adopting a ready-to-go solution. In this blog, we will cover how both approaches have pros and cons and can ultimately be beneficial for these modern data challenges.

Before we begin it is important to note this may not be an all or nothing choice between in-house development and implementing a ready-to-go solution. In many cases, companies may choose to develop or enhance a in-house solution - that is at the core of their business. For example, pricing or point of sale systems may be developed in-house but retailers will leverage a ready-to-go solution for their 

. Or a plane manufacturer may have a proprietary engineering system but use a ready-made solution for 

. Ultimately, companies may choose to build in areas where they have expertise and seek external solutions for other components.

Technology is advancing at an unprecedented pace, and creating a solution from scratch often involves a significant investment of time and resources. Sure, organizations want to adopt 

, AR/VR, and have millisecond responses at the 

 but each element adds a layer of complexity and another component to update and maintain.

By the time an in-house custom solution is completed, it may already lag behind the latest technological advancements. However, building a solution from scratch allows companies to incorporate the exact technologies they require and make it adaptable for future technology updates.  On the other hand, ready-to-go solutions are typically built and updated by dedicated external teams, ensuring they incorporate the latest technologies.

Manage the timeliness of changes and improvements

Technology trends and customer preferences evolve rapidly, requiring continuous updates and modifications to stay relevant. Ready-to-go solutions excel in this area by providing regular updates to ensure security, incorporate

, and enable businesses to effortlessly stay at the forefront of innovation. Companies can prioritize and quickly implement critical updates first when designing an in-house solution.

Developing a solution from scratch requires skilled resources. It is essential to assess whether your organization possesses the necessary expertise and whether your in-house team can dedicate their time and effort to the project. Moreover, even if you have the expertise, it is crucial to consider whether those resources will be available throughout the entire development process and for future modifications. 

Ready-to-go solutions eliminate this concern as they come with dedicated support teams who ensure the solution's smooth functioning and provide assistance when needed. It is important to note that ready-to-solutions will require some in-house resources for usage and maintenance.

Accelerate implementation and time-to-market

One of the primary advantages of ready-to-go solutions is their rapid implementation, allowing organizations to seize opportunities quickly as opposed to waiting months or even years. As a 

 stated, “Visit a future-ready organization and you’ll observe that speed is both a preoccupation and a cultural bias.

Often the vendor selection process for a ready-to-go solution can cause delays, or finding the right fit may be difficult. Budget cuts can also affect the purchase process and put it on hold. However, ready-to-go solutions can cover a specific problem that can validate ROI before larger investments or lengthy selection processes.

Developing in-house takes time for planning, hiring, and infrastructure decisions. But companies can accelerate by prioritizing critical components first and taking a phased approach from pilot to company-wide launch. They can also utilize 

Avoid rip and replace or “patchwork” solutions

Most data centers have millions to billions of dollars in proprietary systems, off the shelf software, equipment, 

, and service contracts. The ecosystem complexity cannot be unraveled, reworked, and optimized in weeks or months.

Some existing systems may be providing exactly what the organization requires or may just need a few enhancements. Providing a point-in-time enhancement as a patch may have a limited shelf life. If developing in-house, companies need to create enhancements or new features that can scale or are easily adaptable if needs change.

Rather than start from scratch, or create a temporary fix, ready-go-solutions allow organizations to choose the most critical areas and provide a way to accelerate business outcomes, modernize their platform, and set the stage for future innovation.

Integrate seamlessly with current systems

 and analysis to drive better business results, even with complex system architectures. A 2019 

 indicated poor integration can cost companies 500K a year. A complicated maze of in-house, point solutions, and partner systems can contribute to poor performance and an incomplete data view. Companies building in-house can work to ensure seamless integration given their familiarity with the architecture.

 stated new solutions "should enhance or retain positive interactions" across customer touchpoints. Ready-to-go solutions must integrate across mission-critical applications, suppliers, and partners in real time. They can also bridge multiple systems with less manual effort, quickly providing a complete data view and insights.

Connect across touchpoints with APIs for real-time data

 power our interactions everywhere - from ordering coffee to booking flights. They can provide quick access to new technologies and better customer experiences, like an omnichannel SuperApp.  High-performance, seamless API integration allows for real-time data processing and analytics to deliver fast and relevant customer responses.

However, APIs can be difficult to implement with legacy systems or partners, and require robust security. Data synchronization and architecture challenges can slow down performance. Edge computing, 

, efficient replication, and a multi-model database approach can accelerate 

This may prove challenging for in-house implementations, but using 

 can help boost API speed. Choosing a ready-to-go solution with high-performing APIs to integrate current systems may provide faster business results.

The main benefit of building in-house is that companies can construct the solution to their exact specifications. They can still utilize outside components where beneficial, like 

. In-house builds allow businesses to focus on core objectives and customer needs. Proprietary technology also provides a competitive advantage, like 

While some argue ready-made solutions lack flexibility, many offer extensive configuration options and customization. Providers recognize the need for tailoring to individual business requirements. This flexibility allows for adapting the solution to unique needs while benefiting from the ready-to-go foundation.

 and can benefit from ready-to-go managed solutions designed for growth and fluctuating demand. This eliminates infrastructure investments while ensuring performance - crucial for organizations in areas with severe weather risks or power issues. It also minimizes the need to manage multiple cloud providers to eliminate downtime, or pay heavy egress charges when data spikes.

Planning ahead for higher computing power and data storage that can scale and support fast performance times is critical for in-house implementations. These organizations also need a plan in place to ensure resilience and robust security measures.

By adopting a ready-to-go solution, organizations can redirect their resources and attention towards core business activities and innovations. Instead of dedicating substantial efforts to the development and maintenance of a custom solution, businesses can concentrate on creating new value for their customers. This strategic advantage enables businesses to stay agile, responsive, and ahead of their competition. This where the gold is truly is - focusing on how you will be meeting customers’ needs today and tomorrow.

Conversely, if companies choose to build in-house they can make sure a portion of their development cycle or resources focus on innovation. They can also include innovation planning as part of their development and maintenance timelines.

Map your success with ready-to-go or in-house solutions

The most important considerations for ready-to-go solutions or in-house development is what is the underlying technology foundation and is it flexible enough to scale and adapt as needs evolve and technology changes. The other important factors are accelerating time-to-market, maximizing performance, and managing complexity.

In-house development may take time to build out a team of experts and resources as well as equipment or architecture, but companies can tailor the solution for their exact requirements. Companies may choose to develop or enhance systems that support core competencies in-house for proprietary advantage and choose ready-to-go solutions for areas where they require outside expertise.

Ready-to-go solutions can offer a faster time-to-market and can offer the latest technologies to quickly deliver a competitive advantage. They are also easier to maintain and are usually updated by the vendor, requiring a lot less in-house effort. Not all ready-to-go solutions are created equally, so let’s explore a few possibilities at the edge.

How a hyper distributed cloud solution provides an “edge”

The traditional centralized cloud isn’t the only answer in our fast-evolving digital world. 

Archive

Holiday Countdown: Optimize eCommerce Defenses & Performance

Unlocking Speed With Edge Side Tag Management

The Evolution And Limitations of Tag Management - From Slow Pages To Fast Revenue

Data Protection In The Age Of Stringent Privacy Regulations And Cyber Threats

The Advantages of Ready-To-Go Solutions Vs. From Scratch Solutions

Emotional Personalization: The Secret to Boosting eCommerce Sales

Device Fingerprinting for eCommerce: An Overview

The Advantages of a Hyper Distributed Cloud for Data-Driven Enterprises

The Edge Advantage for Financial Services