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
December 03.2025
3 Minutes Read

Microsoft Teams Update: Boosting Performance with a New Background Process

Stylized Microsoft Teams performance update image with digital interface.

Microsoft Teams: A Game-Changer for Efficient Remote Work

In the ever-evolving landscape of remote work, Microsoft is breaking new ground with a major update rolling out for its Teams application in January 2026. This update isn’t just about adding a few neat features; it represents a significant architectural redesign aimed at vastly improving performance and user experience.

Understanding the Update: A Split for Speed

The core of this update lies in a clever structural change. Microsoft is introducing a new background process named ms-teams_modulehost.exe, which will specifically handle the demanding tasks associated with calling during Microsoft Teams meetings. Previously, all functions — chat, file sharing, and video calls — relied on the ms-teams.exe process. By separating these processes, Microsoft aims to cut down on launch times and optimize resource use, addressing long-standing user complaints about sluggish system performance.

Seamless Experience: No Changes for Users

For everyday users, the transition to this new system is designed to be entirely seamless. There will be no changes to the user interface or the established workflows that have become familiar in the digital workspace. Instead, users can expect a noticeable increase in speed and stability during meetings, especially when participating in large calls. This architectural change is all about enhancing the back-end experience while keeping the front-end interactions unchanged.

The Role of IT in Transition

While users sit back and enjoy improved performance, system administrators have some preparatory work to do. With the inclusion of a new executable file, security systems and endpoint management tools need updates to recognize this new process as safe. Proper configuration is crucial; if the new ms-teams_modulehost.exe process is not allowlisted, it might trigger security alerts or block its functionality altogether. Microsoft is calling on IT departments to ensure that all relevant security settings are updated accordingly to avoid confusion during troubleshooting.

Anticipated Rollout and Implications

The rollout is set to begin early January 2026, impacting all environments including Worldwide, GCC, GCC High, and DoD tenants, with completion expected by the end of the month. This timeline is crucial for organizations that depend heavily on Teams for communication and collaboration. In an era where digital presence is pivotal, efficient tools are essential for maintaining productivity.

Broadening the Impact: Beyond Call Handling

This update is significant not only for its immediate benefits but also for its long-term implications. With Microsoft continually working on enhancing security features, like blocking malicious links and preventing unauthorized screen captures, the Teams application is becoming a robust solution for secure communication. This encompasses not only the speed improvements but also an emphasis on creating a safe environment for conversations and collaborations.

Why This Matters: A Transformative Step for Teams

This update is a clear indication of Microsoft’s commitment to enhancing the user experience in remote work settings. As challenges persist in navigating virtual environments, tools like Teams are evolving to meet these demands head-on. By making this architectural shift, Microsoft is ensuring that Teams can handle the pressures of an increasingly virtual world while providing users with the reliability they expect.

Final Thoughts: Are You Ready for the Change?

As the rollout approaches, organizations must prepare for this significant change. Ensuring that IT departments are equipped with the right information will be critical in leveraging the full potential of the new Teams architecture. By prioritizing these updates, companies can enhance their communication efficiency, ultimately leading to better workflows and productivity. So, get ready to embrace this change — it promises to make remote meetings smoother and more enjoyable than ever!

Agile-DevOps Synergy

25 Views

0 Comments

Write A Comment

*
*
Related Posts All Posts
12.23.2025

Why 95% of AI Startups Fail: Lessons from the Trenches

Update The Rise and Fall of AI Startups: A Cautionary Tale The landscape of artificial intelligence (AI) in the business sector is marked by tremendous potential and crushing failures. A recent study revealed that 95% of generative AI projects never go beyond the pilot stage, indicating a serious disconnect between expectations and reality. This prompts a critical assessment: why are so many AI startups collapsing despite the hype surrounding them? Against the backdrop of billions in funding, AI startups have been capturing the imagination of business leaders and investors alike, often with spectacular demos that promise transformative solutions. However, as the dust settles, it's clear that many of these initiatives have fallen short of delivering measurable value, leading to a growing skepticism about their long-term viability. Trend-Chasing: The Downfall of Misguided Investments One of the primary reasons for the failure of AI startups is the tendency of businesses to chase trends rather than focus on solving substantive problems. According to research conducted by MIT’s Media Lab, about 50–70% of AI budgets are allocated to sales and marketing projects that often promise much but deliver little. This was echoed in recent articles discussing the proliferation of initiatives that are more about maintaining a competitive image rather than creating meaningful change within organizations. Many executives are lured by the allure of AI technologies without fully understanding their operational implications. As businesses rush to adopt AI, they often overlook the importance of aligning these tools with existing workflows, resulting in extended pilot phases that ultimately yield no return on investment. Lessons Learned: The Importance of Sustainable Strategies The MIT report highlights that successful AI implementations come from a solid strategy rooted in measurable outcomes and integration into organizational workflows. Companies that incorporate internal expertise while also leveraging external experience tend to see significantly higher success rates, emphasizing the need for a balanced approach in AI adoption. The melding of internal business acumen with external technological savvy creates a more comprehensive strategy that addresses both operational realism and innovative aspirations. Businesses that fail to adapt run the risk of using AI merely as a shiny new tool, rather than as a transformative force. The pressure to adopt quickly can often lead to half-hearted implementations that do little more than waste resources. Shifting Perspectives: AI as Cultural Transformation AI change is not just about technology; it represents a fundamental shift in the way organizations operate. This cultural transformation entails understanding the real applications of AI across departments and weaving these capabilities into the fabric of the business model. For AI to provide value, organizations must cultivate an environment that embraces change, encourages feedback, and aims for a shared vision of success that encompasses both technology and people. This cultural shift may seem daunting, but it’s essential for fostering innovation that resonates not just within the tech sphere but across the entire business. Looking Ahead: The Future for AI Startups As we move deeper into 2025, it’s crucial for AI startups to reassess their approaches. The successful companies of tomorrow will be those that prioritize collaboration, accountability, and alignment in their AI efforts, rather than rushing to deploy technology for technology's sake. They must focus on understanding real use cases, overcome internal resistance to change, and seek ongoing engagement with users to maximize the potential of their offerings. By treating AI as a part of their operating system, rather than an add-on, businesses can begin to unlock the true value of these powerful technologies. Final Thoughts: Aligning AI Implementation with Business Goals The road ahead for AI startups will not be easy. By maintaining a focus on strategic alignment and cultural readiness, they can not only survive but thrive in an increasingly complex business landscape. As these organizations learn from the failures of the past and embrace innovative solutions with a grounded approach, the future of AI in business could very well reshape the way we connect, serve clients, and operate efficiently. If you are interested in keeping pace with the evolution of AI in business, stay tuned for insights and strategies that could define the next wave of transformation. Subscribe to our newsletter for updates on critical developments in the AI landscape that matter to you.

12.22.2025

How the Surge in Factory Robots and AI Innovations Will Impact the Future

Update The Rise of Factory Robots and Hyperscale Funding: A New Era The recent surge in factory automation and AI advancements marks a pivotal shift in manufacturing and technology. With innovations emerging rapidly, robots like Midea’s six-armed MIRO U are taking center stage, reflecting a demand for efficiency as they adapt to diverse tasks and enhance productivity. According to the World Economic Forum, AI is not just enhancing factory operations but is reshaping the entire industry landscape, ensuring competitive edge in a global market. AI's Transformative Role in Manufacturing Artificial intelligence is gaining traction as a powerful tool in factories, allowing for a significant increase in automation and precision. A notable instance includes MIT's recent development of a pipeline that transforms plain language into robotic actions, enabling on-demand manufacturing without traditional bottlenecks. This is pivotal against the backdrop of growing labor shortages, illustrating how technology can offset challenges inherent to human workforce dependencies. Investments Are Pouring In A frenzy of investment is occurring as hyperscale tech companies race to fund advancements in AI and robotics. The interest from major players like Google and Amazon not only highlights the profitability and potential of these technologies but also stresses the urgency for businesses to adapt or face obsolescence. With tools like Google’s Gemini 3 Flash leading the charge, companies have access to powerful and budget-friendly AI solutions that dramatically reduce operational costs, making high-inference AI applications more accessible than ever. Parallel Innovations: AI in Healthcare Just as AI robots are revolutionizing factories, their applications in healthcare are equally profound. AI technologies facilitate surgical precision and support rehabilitation, enhancing patient outcomes while minimizing recovery times. The synergy between robotics and AI extends across multiple industries, including food service and agriculture, indicating a burgeoning trend where optimized processes coincide with technological advancements. Future Predictions: What Lies Ahead? As we look ahead, the future of AI and robotics appears laden with promise. With predictions of AI’s capability to create up to 78 million new jobs by 2030, the focus will shift towards reskilling and adapting the workforce to leverage these technologies, underscoring the importance of agility in DevOps and Agile methodologies. The integration of AI in manufacturing could redefine job roles, requiring new skill sets that blend technical knowledge with creative problem-solving. Conclusion: The Time for Embracing Change is Now The rapid evolution of AI in manufacturing and robotics suggests that businesses must adapt or risk being left behind. As companies embrace agile methodologies and invest in technological advancements, the demand for educated, tech-savvy workers will continue to rise. Understanding how to leverage tools like AI and robotics is crucial not only for individual career trajectories but also for the sustainability and competitiveness of industries as a whole. For anyone interested in the intersection of AI, robotics, and agile development, staying informed and ready to adapt is essential. Explore continuous learning opportunities to remain relevant in this fast-paced landscape.

12.21.2025

Why AI Observability Tools from Dynatrace are Essential for DevOps Success

Update Unpacking Dynatrace's Commitment to AI Observability As businesses increasingly adopt AI technologies, the need for robust observability tools becomes paramount. Dynatrace has stepped forward to fulfill that demand by delivering comprehensive observability solutions tailored specifically for AI coding tools from leaders like Google. This strategic move promises to allow organizations to harness AI capabilities more effectively and enhance their performance metrics across various platforms. The Growing Importance of AI Observability Generative AI is not just a trend; it represents a transformative shift in how businesses operate. As reported by Dynatrace, the use of large language models (LLMs) and advanced AI agents for complex queries is becoming commonplace. The ability to monitor and assess these AI applications ensures high availability and optimal performance, which can markedly increase business productivity while minimizing risks associated with deployment failures. Key Features of Dynatrace's AI Observability With a lineup of advanced features, Dynatrace's observability tools enable organizations to track a multitude of metrics, including: Health and Performance Monitoring: Offers real-time insights into application performance, helping developers identify bottlenecks swiftly. Cost Management: Automated cost tracking facilitates better resource allocation and budget management, ensuring efficient spending during AI operations. Error Budgeting: Customized error budgets allow businesses to maintain quality and performance thresholds, crucial for meeting Service Level Objectives (SLOs). End-to-End Tracing: Complements observability with granular tracing capabilities that provide visibility from initial request to final AI-generated response, making troubleshooting more efficient. Davis AI: Revolutionizing Application Monitoring Central to Dynatrace's solution is the powerful Davis AI system. Davis leverages a combination of predictive, causal, and generative AI to provide actionable insights and automated processes. For example, businesses can utilize Davis to run automatic root-cause analyses, improving response times when issues arise. Moreover, Davis includes natural language processing capabilities, translating user queries into data-driven insights seamlessly. Future Trends in AI and Observability The integration of AI observability into DevOps ecosystems is shaping the future of application performance management. With tools like Dynatrace leading the charge, organizations are gaining visibility that allows them to predict issues proactively and react autonomously. This shift not only enhances operational resilience but also paves the way for a deeper integration of AI in other business processes. The Relevance of Agile DevOps Strategies As AI technologies evolve, the principles of Agile and DevOps become even more relevant. By adopting Agile methodologies alongside observability tools, teams can implement changes more rapidly and effectively monitor the impacts of those changes. The synergy created between Agile DevOps and AI observability tools like Dynatrace ensures that organizations remain competitive in a fast-paced digital landscape. Take Action: Elevate Your DevOps with AI Observability For businesses committed to staying ahead of the curve, embracing AI observability tools is essential. Investing in platforms like Dynatrace not only empowers teams to maximize their resources but also enhances overall service quality. With the ongoing evolution of AI technologies, companies that prioritize observability will be better positioned to drive innovation and efficiency in their operations.

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
*
*
*