Add Row
Add Element
cropper
update

[Company Name]

Agility Engineers
update
Add Element
  • Home
  • Categories
    • SAFe
    • Agile
    • DevOps
    • Product Management
    • LeSS
    • Scaling Frameworks
    • Scrum Masters
    • Product Owners
    • Developers
    • Testing
    • Agile Roles
    • Agile Testing
    • SRE
    • OKRs
    • Agile Coaching
    • OCM
    • Transformations
    • Agile Training
    • Cultural Foundations
    • Case Studies
    • Metrics That Matter
    • Agile-DevOps Synergy
    • Leadership Spotlights
    • Team Playbooks
    • Agile - vs - Traditional
Welcome To Our Blog!
Click Subscribe To Get Access To The Industries Latest Tips, Trends And Special Offers.
  • All Posts
  • Agile Training
  • SAFe
  • Agile
  • DevOps
  • Product Management
  • Agile Roles
  • Agile Testing
  • SRE
  • OKRs
  • Agile Coaching
  • OCM
  • Transformations
  • Testing
  • Developers
  • Product Owners
  • Scrum Masters
  • Scaling Frameworks
  • LeSS
  • Cultural Foundations
  • Case Studies
  • Metrics That Matter
  • Agile-DevOps Synergy
  • Leadership Spotlights
  • Team Playbooks
  • Agile - vs - Traditional
March 08.2025
3 Minutes Read

Why APM Alone Cannot Meet the Demands of Modern DevOps: The Rise of IPM

Hands typing on laptop illustrating Internet Performance Monitoring.

The Paradigm Shift in Application Monitoring

In an era where digital transformation is accelerating rapidly, the limitations of Application Performance Monitoring (APM) tools have become increasingly evident. Originally designed to manage traditional application architecture, APM systems struggle to keep pace with today’s dynamic environments where cloud computing and distributed services reign supreme. This scenario necessitates new approaches to monitoring that ensure comprehensive visibility across the multitude of services utilized—enter Internet Performance Monitoring (IPM).

Why APM is Insufficient in Today’s Internet Infrastructure

We live in a world where cloud technologies aren't just supplemental—they are core to operations. With applications hosted in multiple data centers and dependencies spread across various services, organizations find themselves facing complexity like never before. APM tools, once suitable for monolithic applications operating on local area networks, now hinder more than help. They focus primarily on application code, leaving organizations blind to external internet factors that impact user experiences.

Understanding Internet Performance Monitoring (IPM)

IPM emerges as a comprehensive solution designed to fill this gap. Unlike APM—which targets code-level performance—IPM emphasizes overall network performance as experienced by users. By leveraging strategies such as real user monitoring (RUM) and synthetic testing from multiple vantage points around the globe, IPM solutions, like those offered by Catchpoint, allow organizations to analyze how internet infrastructures and services influence application performance.

As highlighted in various industry reports, only IPM can bridge the gaps left by APM. It empowers organizations to understand latency variations, unearth root causes of user experience issues, and provide real insights into application performance from the user's perspective. This level of insight is crucial today as businesses depend on a wide variety of internet-facing services, APIs, and third-party solutions to achieve their operational goals.

A New Monitoring Paradigm: Blending APM and IPM

It's important to note that APM is not entirely obsolete; rather, it works exceptionally well in concert with IPM. This combination can yield the robust monitoring strategies organizations need to thrive in today’s intricate digital landscape. For instance, while APM offers insights into application efficiencies, IPM ensures that those efficiencies translate into a satisfactory user experience by measuring real-world internet interactions.

Consider a company like SAP, which utilizes Catchpoint for its Commerce Cloud and APM for its application stack. They ensure user experiences are optimized not just by the performance of their application but by the entirety of their internet stack.

The Future of Monitoring: Skills for Tomorrow’s Network Engineers

As organizations evolve from traditional infrastructures towards Internet-centric approaches, so too must the skill sets of their network engineers. No longer can they rely solely on routers and switches; proficiency with IPM tools is essential for today’s engineering professionals. Companies like Catchpoint have identified this need and are fostering training initiatives to equip engineers with the necessary skills for this transition.

Take Action: Embrace IPM for a Resilient Future

In conclusion, the digital landscape demands that organizations adopt innovative monitoring strategies to ensure optimal user experiences. By embracing both APM and IPM, entities not only enhance operational resilience but also align their IT efforts with user expectations. The call to action is clear: organizations must explore integrated monitoring solutions, such as IPM, in order to stay ahead of performance challenges, improve digital experiences, and ultimately drive business success.

Agile-DevOps Synergy

62 Views

0 Comments

Write A Comment

*
*
Related Posts All Posts
01.10.2026

Why Fiserv's AI Partnership with Microsoft Marks a New Era in Fintech Innovation

Update The Dawn of AI in Fintech: A Game Changer In a significant move poised to reshape the financial technology landscape, Fiserv has teamed up with Microsoft to deepen its artificial intelligence (AI) capabilities. This collaboration is more than just a tech upgrade; it signifies a new era where AI becomes an integral part of daily operations at Fiserv, a company known for processing a staggering 90 billion transactions annually. As competition intensifies in the fintech industry, this partnership underscores Fiserv's commitment to remain at the forefront of innovation. Expanding AI Across Workforce and Platforms Under this partnership, Fiserv aims to embed Microsoft 365 Copilot within its global workforce. This AI-driven tool will streamline employee tasks, enhancing productivity through supported decision-making and content creation. Fiserv's broader strategy is not merely to implement AI; rather, it seeks to create an environment where AI tools are part of daily workflows, making them foundational rather than auxiliary. This operational transformation is expected to drive significant efficiency gains, particularly as Fiserv expands its use of the Azure-hosted Microsoft Foundry platform. Impacts on the Financial Ecosystem The implications of this partnership reach far beyond Fiserv itself. With a commanding 42% market share of U.S. banks in core banking services and partnerships with 31% of U.S credit unions, the AI integration will benefit around 10,000 financial institutions and influence nearly 80 million U.S. digital banking users. When Fiserv boosts its operational capacities through AI, every marginal improvement ripples through the economy, enhancing responsiveness and service quality in a sector where performance is vital. The Accelerating AI Investment Landscape Research indicates that spending on AI in financial services is projected to surge from $35 billion in 2023 to a staggering $97 billion by 2027. Fiserv is positioning itself to be a catalyst in this growth, as evidenced by its ongoing projects and the successful deployment of GitHub Copilot to over 8,000 engineers. This strong foundation allows Fiserv to potentially harness AI solutions in areas like fraud detection and client servicing, paving the way for smarter, more efficient financial products. The Future of AI in Fintech: Opportunities and Risks As Fiserv integrates AI into its operations, it also faces challenges characteristic of the fast-evolving fintech landscape. The potential for technological disruption means that while Fiserv stands to gain through increased efficiency and innovation, it must also navigate the accompanying risks of cybersecurity threats and data privacy concerns. The delicate balance of using AI to improve service without compromising security is a tightrope that all fintech firms must walk. Conclusion: A Call to Embrace the AI Revolution As Fiserv embarks on this bold initiative, the message is clear: AI is not just the future of technology; it is the cornerstone of innovation in fintech. By embedding these tools into the very fabric of their operations, organizations like Fiserv can lead the charge in making banking smarter, faster, and more customer-centric. For financial institutions, the time has come not just to adapt but to innovate. Embracing this shift will not only bolster efficiency but also enhance competitiveness in an increasingly digital landscape. In this high-stakes race, every financial institution has a choice: adapt to the AI-driven future or risk being left behind.

01.09.2026

AI’s Transformative Role in Software Testing: Ready or Not?

Update AI and Its Role in Modern Software Testing Artificial Intelligence (AI) has rapidly become a vital tool in software testing, reshaping traditional processes and workflows in ways previously unimaginable. The influx of AI capabilities into testing efforts has streamlined tedious tasks, minimized human errors, and improved overall accuracy. As developers are faced with increasingly complex applications, AI solutions now promise not only to enhance the efficiency of testing but also to significantly reduce the time-to-market for new features. Understanding the Traditional Challenges Before diving into the benefits of AI, it's crucial to recognize the perennial challenges faced by testing teams. Manual testing has long been a bottleneck due to its time-consuming nature—resources are often stretched thin when it comes to ensuring comprehensive test coverage. Furthermore, the enormity of test case volumes often leads to oversight and missed defects. The introduction of AI is profoundly addressing these inefficiencies. AI Solutions: From Automation to Predictive Analysis As AI integrates into the software testing landscape, it contributes in several significant ways. Firstly, automated test generation is one of the most beneficial AI applications. Solutions now can analyze code changes and automatically generate tests tailored to the specific modifications made by developers. This fundamentally eliminates the friction between development and testing, providing seamless transitions from code write-ups to testing protocols. Moreover, AI can assist in predictive defect detection by analyzing past bugs and their contextual relationships. For instance, a team implementing AI solutions has experienced a reduction in post-release bugs by a notable 30%. Such predictive analysis helps testers prioritize their efforts, focusing on the areas likely to yield the greatest improvements in quality. Pioneers of AI in Testing A few industry giants are leading the charge in AI-enhanced testing approaches. Google leverages AI to run numerous automated tests, identifying bug patterns and directing manual testers to focus on critical areas. Similarly, Netflix uses AI to anticipate playback issues, ensuring a consistent streaming experience for millions. These examples exemplify how AI not only accelerates testing workflows but also enhances quality assurance across platforms. Cultural Shifts: Embracing AI-Driven Strategies In addition to technical advancements, the integration of AI into software testing signifies a cultural shift within development teams. Traditional roles are evolving as teams embrace a methodology that favors collaboration between testers and AI algorithms. As InfoWorld highlights, testing leaders encouraging a learning culture around AI technology witness increased enthusiasm and engagement from their teams, leading to better quality outputs. Real-World Implementation: Steps for Adoption For organizations keen on adopting AI in their workflows, successful implementation requires strategic planning. Start by identifying key bottlenecks within your testing processes. Next, introduce AI incrementally, focusing on specific tasks such as automating regression tests. Prioritize data-driven insights, utilizing historical data to guide AI algorithm assessments. By demonstrating quantifiable ROI and building a learning culture around AI, teams can better secure buy-in from management and stakeholders. Looking Ahead: The Future of AI in Software Testing As AI technologies continue to evolve, the landscape of software testing is set to transform further. The incorporation of AI isn't merely a phase but marks the transition into a new era of development where agility and efficiency become paramount. Teams embracing this shift will find themselves not only ahead in productivity but also in delivering improved software quality. For those involved in software development and testing—embracing AI isn’t optional anymore; it's fundamental to staying competitive in the marketplace. The keys to success lie in strategic implementation, fostering a culture of learning, and continually adapting to the capabilities AI brings to the table.

01.09.2026

Unmasking Chen Zhi: The Scandalous Tale of a $15B Crypto Scam

Update The Fall of a Self-Made Empire: Chen Zhi and the Scandalous $15B Crypto Scam In a twist worthy of a thriller, Chen Zhi, the alleged mastermind behind one of Asia's largest transnational criminal organizations, was arrested in Cambodia and subsequently extradited to China. This dramatic closure marks the end of a $15 billion cryptocurrency scam empire that had thrived for years, duping victims across the globe with promises of quick returns on their investments. Reports from various news agencies detail how authorities revealed that Chen's operation was pulling in $30 million daily at its peak. Chen Zhi: From Philanthropist to Fugitive Once revered as a successful businessman, Chen was deeply embedded in the Cambodians’ political and economic fabric. He was not only the head of the Prince Holding Group but also a senior adviser to top government officials including former Prime Minister Hun Sen. Chen effortlessly transitioned from a seemingly legitimate entrepreneur to a criminal figure accused of masterminding extensive online fraud schemes. His attainment of Cambodian citizenship and recognition from the king as “Neak Oknha” added layers of protection to his operations for nearly a decade. Scamming on an Unprecedented Scale The mastermind was keen on exploiting technological infrastructures, resorting to innovative strategies such as 'pig butchering' investment scams. This term refers to a high-pressure, long con where victims are slowly enticed to invest increasing amounts of money. Chen's networks extended to forced labor camps where workers were coerced into perpetuating the scams, often under duress. A Global Response: Authorities Crack Down The international fallout from Chen's empire has led to a concerted effort by law enforcement and financial regulators. U.S. authorities, along with their counterparts from several countries, have initiated widespread investigations, seizures, and sanctions. The U.S. Treasury reported a staggering $15 billion in Bitcoin linked to Chen’s operations has been confiscated. Meanwhile, in regions like Hong Kong and Singapore, assets worth millions were frozen, signaling an urgent step toward dismantling his extensive web of financial deceit. Implications on Global Regulation The ripple effects of this scandal are profound, reshaping how countries will govern and regulate cryptocurrency. With Americans alone losing an estimated $10 billion to scams emanating from Southeast Asia, the crisis has led to calls for more stringent oversight of digital currencies and businesses trading in them. Chen Zhi: Behind the Mask of Philanthropy While Chen Zhi presented himself as a generous philanthropist through the Prince Foundation, the stark reality reveals a much darker involvement with fraud. His ties to the elite positioned him in a place where he could operate largely unchecked, revealing how intertwining financial and political power can mask illicit activities. The Broader Threat of Cybercrime in Southeast Asia This case serves to underscore the significant risk of cybercrime in Southeast Asia, where weak regulatory frameworks and lack of law enforcement resources have allowed such scams to flourish. Experts estimate that tens of thousands of victims continue to fall prey to similar scams across the region, often lured by false job advertisements and forced to work under extreme conditions. What Lies Ahead: Preventing Future Scams As regulatory authorities and lawmakers grapple with the fallout from Chen’s operations, their focus will likely shift toward building better international frameworks to combat transnational cybercrime. Setting up collaborative networks among affected nations may enhance the capacity to detect and prevent such heinous activities in the future. Conclusion: An End to the Reign or the Start of Something New? The extradition of Chen Zhi has catalyzed a critical, widespread investigation into the world of cybercrime and online investment scams, laying bare the vulnerabilities of current financial systems. As governments exert more control over digital finance, one must wonder about the next strategic moves that both criminals and regulators will undertake in the shifting landscape of modern finance.

Terms of Service

Privacy Policy

Core Modal Title

Sorry, no results found

You Might Find These Articles Interesting

T
Please Check Your Email
We Will Be Following Up Shortly
*
*
*