#Benchmarking

[thepersonalwords]

A life that lacks physical exercise and activity leads to lethargy and promotes sickness of both body and mind. Exercise is important because it helps the heart, lungs, muscles and brain to be more efficient in their use of oxygen. Take personal responsibility over what you can control – it’s your life.

Archibald Marwizi, Making Success Deliberate

[arconinternet]

Speedy (Windows 3.1, J. Lin, 1993)

You can run this Windows 3.1 benchmarking program in your browser here.

[quotelr]

How do you visualize the success of those parts of the world falling under your leadership? What about the success of your organisation, your family and all the people related to the two institutions? How fulfilling are the results of this personal evaluation? What can you start doing about it, today?

Archibald Marwizi, Making Success Deliberate

[frog707]

Please hold

The project to convert my buildscripts to Kotlin is on hold because I have an EXCITING NEW PROJECT.

Earlier this month (June 2024) Mazhar Akbar drew my attention to his performance comparison between JMonkeyEngine and Godot on a physics-intensive workload. The comparison favored Godot by a large margin. I was skeptical at first, but gradually I became convinced that, in order to level the field, JMonkeyEngine needs a new physics engine, one based on Jolt Physics instead of Bullet.

So now I'm coding all-new JVM bindings for Jolt. Jolt is an open-source software project of some complexity (about 100,000 lines of C++ code), so this could take awhile. Please hold. But not your breath.

I'm having a blast!

[inmobilexion-info]

「CFO必見！冷たいメールの真実」

冷たいメールがCFOに今なお効果的な理由 要約 最近のSaaS…

[w2gsolution01]

Report Shows OpenTelemetry’s Impact on Go Performance

Observability in software development has become a cornerstone for building reliable and efficient systems. A recent report highlights OpenTelemetry’s impact on Go performance, shedding light on how this open-source observability framework influences the efficiency of applications written in the Go programming language. As Go, also known as Golang, continues to gain traction for its simplicity and performance in cloud-native environments, understanding the implications of integrating tools like OpenTelemetry is crucial for developers aiming to optimize their systems.

This blog explores the findings of the report, diving into how OpenTelemetry affects Go applications, its benefits, challenges, and practical considerations for developers. With observability becoming a non-negotiable aspect of modern software, this analysis provides insights for Go developers seeking to balance performance with robust monitoring.

What is OpenTelemetry and Why It Matters for Go

OpenTelemetry is an open-source project under the Cloud Native Computing Foundation (CNCF) that provides a standardized way to collect, process, and export telemetry data, including traces, metrics, and logs. For Go developers, it offers a powerful toolkit to gain visibility into application behavior, especially in distributed systems like microservices architectures. Go’s lightweight concurrency model and fast execution make it a popular choice for high-performance applications, but without proper observability, debugging and optimizing these systems can be challenging.

The report emphasizes that OpenTelemetry’s integration with Go enables developers to instrument their code efficiently, capturing critical data about request latencies, error rates, and system resource usage. This visibility is essential for identifying bottlenecks and ensuring applications run smoothly in production.

The Role of Observability in Go Applications

Go’s design prioritizes simplicity and performance, making it ideal for building scalable systems. However, as applications grow in complexity, developers need tools to monitor and understand their behavior. OpenTelemetry fills this gap by providing a standardized approach to observability, allowing developers to collect telemetry data without relying on proprietary solutions. This standardization is particularly valuable in Go, where minimalism is a core principle, as it aligns with the language’s philosophy of avoiding unnecessary complexity.

Key Findings on OpenTelemetry’s Impact on Go Performance

The report provides a detailed analysis of how OpenTelemetry affects Go applications, focusing on performance metrics such as latency, throughput, and resource consumption. While OpenTelemetry enhances observability, it introduces some overhead, which developers must carefully manage to maintain Go’s hallmark efficiency.

Performance Overhead of Instrumentation

One of the primary concerns for Go developers is the potential performance cost of adding observability. The report reveals that OpenTelemetry’s instrumentation, when properly configured, introduces minimal overhead—typically less than 5% in terms of CPU and memory usage for most workloads. This is a testament to Go’s efficiency and OpenTelemetry’s lightweight design. However, in high-throughput systems processing millions of requests per second, even small overheads can accumulate, requiring developers to optimize their instrumentation strategies.

For instance, the report notes that excessive tracing or poorly configured sampling can increase latency. By using techniques like adaptive sampling, where only a subset of requests is traced, developers can mitigate this impact while still gaining valuable insights.

Benefits of Enhanced Observability

Despite the minor overhead, the report underscores the significant benefits of OpenTelemetry’s impact on Go performance. By providing detailed traces and metrics, OpenTelemetry helps developers pinpoint performance issues quickly. For example, in a case study highlighted in the report, a Go-based microservice reduced its average request latency by 20% after using OpenTelemetry to identify a bottleneck in a database query. This kind of actionable insight is invaluable for maintaining high-performing systems.

Moreover, OpenTelemetry’s compatibility with popular observability platforms like Prometheus, Jaeger, and Grafana allows developers to visualize and analyze data effectively, further enhancing their ability to optimize Go applications.

Challenges of Implementing OpenTelemetry in Go

While the benefits are clear, integrating OpenTelemetry into Go applications is not without challenges. The report outlines several considerations developers must address to ensure successful adoption without compromising performance.

Configuration Complexity

OpenTelemetry’s flexibility comes with a learning curve. Configuring exporters, samplers, and processors requires a deep understanding of both the tool and the application’s architecture. The report notes that misconfigurations, such as overly verbose logging or incorrect sampling rates, can lead to performance degradation. For Go developers, who often prioritize simplicity, this complexity can feel counterintuitive.

To address this, the report recommends starting with minimal instrumentation and gradually expanding as developers become familiar with OpenTelemetry’s components. Using Go-specific libraries, such as the OpenTelemetry Go SDK, can also simplify the process.

Balancing Observability and Performance

Another challenge is striking the right balance between observability and performance. The report highlights that excessive telemetry collection can strain system resources, particularly in resource-constrained environments like edge computing. Developers must carefully select which metrics and traces to collect, focusing on those that provide the most value for debugging and optimization.

Best Practices for Using OpenTelemetry with Go

To maximize the benefits of OpenTelemetry’s impact on Go performance, the report offers several best practices for developers. These strategies help minimize overhead while ensuring robust observability.

Optimize Sampling Strategies

Sampling is a critical factor in managing OpenTelemetry’s performance impact. The report suggests using probabilistic or rate-based sampling to reduce the volume of telemetry data without sacrificing visibility. For high-traffic Go applications, adaptive sampling—where the sampling rate adjusts based on system load—can further optimize performance.

Leverage Context Propagation

Go’s concurrency model, with its goroutines and channels, requires careful handling of request context. OpenTelemetry’s context propagation ensures that telemetry data is correctly associated with the right request, even in highly concurrent systems. The report emphasizes the importance of properly propagating context to avoid gaps in traces, which can obscure performance issues.

Monitor Resource Usage

To prevent unexpected performance hits, developers should monitor the resource usage of OpenTelemetry itself. Tools like Prometheus can track the CPU and memory overhead of instrumentation, allowing developers to fine-tune configurations as needed.

Real-World Applications and Success Stories

The report includes several case studies demonstrating OpenTelemetry’s impact on Go performance in real-world scenarios. One notable example is a fintech company that used OpenTelemetry to optimize a Go-based payment processing system. By analyzing traces, the company identified inefficiencies in its API calls, reducing transaction times by 15% and improving customer satisfaction.

Another case study involves a cloud-native startup that integrated OpenTelemetry into its Go microservices. The detailed metrics provided by OpenTelemetry allowed the team to scale their infrastructure more efficiently, reducing costs while maintaining performance.

Future Outlook for OpenTelemetry and Go

As observability continues to evolve, OpenTelemetry is poised to become a standard tool for Go developers. The report predicts that future improvements in OpenTelemetry’s Go SDK will further reduce overhead and simplify integration. Additionally, advancements in automated instrumentation could make it easier for developers to adopt OpenTelemetry without extensive manual configuration.

The growing adoption of Go in cloud-native and serverless environments also underscores the importance of tools like OpenTelemetry. As more organizations rely on Go for critical workloads, the ability to monitor and optimize performance will be a key differentiator.

OpenTelemetry’s impact on Go performance is a game-changer for developers building high-performance, observable systems. While it introduces some overhead, the benefits of enhanced visibility and actionable insights far outweigh the costs when implemented thoughtfully. By following best practices like optimized sampling and context propagation, Go developers can harness OpenTelemetry to build faster, more reliable applications.

As the report demonstrates, OpenTelemetry empowers developers to unlock the full potential of their Go applications, ensuring they remain performant in even the most demanding environments. For Go developers looking to stay ahead in the world of observability, embracing OpenTelemetry is a step toward building more robust and efficient systems.

[datagardener0]

What Is Benchmarking in Business? Types & Benefits Explained

Have you ever wondered how leading companies excel in everything they do? Whether achieving stellar customer satisfaction, improving operational efficiency, or staying ahead of the competition, benchmarking is one secret behind their success. “What is benchmarking in business?” This solution allows companies to measure performance, analyse shortcomings, and set goals for excellence. In this guide, we’ll explore everything from the basics of benchmarking to its benefits, types, and practical steps for implementing it in your business.

What is Benchmarking in Business?

Benchmarking in business refers to measuring and comparing an organisation’s performance, processes, or products against industry standards, competitors, or best practices. It helps companies understand how well they perform compared to others and identify areas for improvement. Benchmarking provides valuable insights to drive strategic decision-making and increase efficiency by identifying performance gaps.

Benefits of Benchmarking

Why should businesses invest time and resources in benchmarking? Here are the primary benefits:

Improved Performance: By identifying performance gaps, companies can make informed decisions to enhance efficiency and productivity.

Competitive Advantage: Benchmarking allows companies to understand their strengths and weaknesses relative to competitors, providing an edge in the market.

Cost Reduction: Benchmarking helps businesses identify inefficiencies and find cost-effective solutions to improve operations.

Innovation: By studying industry leaders, companies can adopt innovative practices and stay ahead of the curve.

Customer Satisfaction: Benchmarking often involves understanding customer expectations, which can help businesses improve service delivery and increase customer loyalty.

Source: https://datagardener.com/blogs/what-is-benchmarking-in-business/

[amtechhive]

3DMark Benchmarking Tool Now Available on macOS

The popular, previously PC-centric graphics benchmarking suite 3DMark has been launched natively on macOS, offering Mac users a dedicated tool to test their system’s gaming performance. The new macOS version includes four benchmark tests: Wild Life Extreme, Solar Bay, Steel Nomad Light, and the demanding Steel Nomad benchmark previously exclusive to Windows. All tests run natively using Apple’s…

[juaniitaalopezz]

ICYMI: Driving Organizational Transformation Through Business Process Reengineering in Consulting https://kamyarshah.com/driving-organizational-transformation-through-business-process-reengineering-in-consulting/

[cristianonordio]

Ascolta questo episodio del podcast per scoprire come i Big Data stanno rivoluzionando il benchmarking, trasformandolo in uno strumento strategico per migliorare le prestazioni aziendali e ottenere un vantaggio competitivo in un mercato sempre più dinamico.

Perché ascoltarlo? Questo episodio offre un’analisi approfondita di come l’enorme quantità di dati digitali disponibili oggi, provenienti da fonti come transazioni, social media e sensori, consenta alle organizzazioni di confrontare le proprie performance con quelle dei leader di settore in modo più preciso e predittivo.

Attraverso esempi pratici, come l’analisi delle metriche di vendita nell’e-commerce, l’uso dell’intelligenza artificiale per prevedere il churn nei servizi finanziari e il confronto dei dati pubblici per migliorare la soddisfazione del cliente nel settore della ristorazione, il podcast illustra come i Big Data rendano il benchmarking non solo più accurato, ma anche capace di rivelare correlazioni nascoste e pattern di prestazioni che possono guidare decisioni strategiche.

Vengono esplorati i vantaggi di questa evoluzione, come la maggiore affidabilità delle analisi, la possibilità di apprendere da settori diversi e l’identificazione di opportunità di innovazione attraverso tecniche avanzate come il machine learning. Tuttavia, l’episodio non trascura le sfide, affrontando temi cruciali come la complessità della gestione e integrazione dei dati, la necessità di garantire privacy e sicurezza in conformità a normative come il GDPR e l’importanza di competenze analitiche per interpretare correttamente i risultati.

Questo episodio è una risorsa preziosa per manager, analisti di dati e professionisti del marketing che desiderano comprendere come sfruttare i Big Data per ottimizzare i processi decisionali e posizionare la propria organizzazione al vertice del proprio settore. Si rivolge anche a chi vuole approfondire l’impatto delle tecnologie moderne, come il cloud computing e l’intelligenza artificiale, nel trasformare il benchmarking in un’attività dinamica e orientata al futuro.

L’episodio offre spunti pratici su come implementare un benchmarking data-driven, con suggerimenti su strumenti come Tableau o Power BI per visualizzare i dati in tempo reale e prendere decisioni rapide. È un’occasione per imparare come le organizzazioni possono adottare una cultura basata sui dati, superando le barriere tecnologiche e normative per raggiungere l’eccellenza operativa.

[hrsourcer]

Still relying on outdated salary surveys? 2025 demands smarter pay strategies, backed by real-time data. 📖 Read the full blog on how salary benchmarking is evolving: https://tinyurl.com/597p56jz

#SalaryBenchmarking #CompensationStrategy #FutureOfWork

[saicpa01]

Sai CPA Services: Unlock Better Benchmarks, Better Valuations!  

In today’s fast-paced business environment, knowing the true value of your company is essential for smart decision-making. At Sai CPA Services, we believe that better benchmarks lead to better valuations — and ultimately, to greater success for your business. 

Accurate business valuation is not just about numbers; it’s about understanding your company's full potential. With Sai CPA’s expert team, you receive comprehensive valuation services that reflect current market realities, industry trends, and your unique business strengths. Whether you are preparing for a sale, merger, acquisition, or simply want to track your business growth, our customized approach ensures your company’s worth is accurately represented. 

What sets Sai CPA apart is our commitment to data-driven benchmarks. We use advanced analytics, updated industry standards, and in-depth financial assessments to provide valuations you can trust. Our team doesn’t just deliver numbers — we deliver insights that empower you to make confident, strategic decisions. 

Partnering with Sai CPA Services means having a team that values precision, transparency, and your future success. We guide you through every step of the valuation process, providing clear communication, tailored strategies, and actionable recommendations. 

When your benchmarks improve, your valuation — and your opportunities — grow. Don’t leave the future of your business to guesswork. Trust Sai CPA to elevate your company's value with the expertise and dedication you deserve. 

Get a true measure of your business’s potential. Contact Sai CPA Services today! 

Facebook: AjayKCPA   Instagram: sai_cpa_services   Twitter: SaiCPA   LinkedIn: Sai CPA Services   WhatsApp: Sai CPA Channel   Phone: (908) 380-6876  

    (908) 888-8900  

1 Auer Ct, East Brunswick,   NJ 08816 

[inmobilexion-info]

「AIで変革するSaaSビジネスの未来」

Abacumの革新と成長: Julio Martinezとの対談から学ぶ 今回の「SaaS CFO Podcast」では、Abacumの共同創業者兼CEOであるJulio…

[radiantresume]

“Inspection, Verification & Audit in the Automotive Industry”

“Inspection, Verification & Audit in the Automotive Industry: Key Tools and Best Practices for Quality Assurance” 🧰 1. Introduction In the highly competitive and regulated automotive industry, maintaining the highest standards of quality control is crucial. Whether you’re ensuring components meet specific measurements, verifying that designs match product specifications, or auditing processes…

[pythonjobsupport]

How to Avoid Common Mistakes When Benchmarking Multifamily Housing Campuses

This video offers practical guidance on how to avoid common mistakes when benchmarking multifamily housing campuses using … source

[zeynepom3r]

TQM Smart Tools for Continuous Improvement 📈

This course offers an in-depth exploration of Total Quality Management (TQM) and equips you with the essential tools for driving continuous improvement within your organization. By blending theory with practical application, you’ll gain the knowledge and skills needed to implement key quality frameworks like Lean and Six Sigma, and use powerful tools to boost productivity and customer satisfaction.

Key Takeaways:

Master TQM Tools: Learn how to apply quality improvement tools such as the seven quality control tools, process mapping, Poka-yoke, and more.

Enhance Operational Efficiency: Understand how to eliminate waste using Lean and improve processes with Six Sigma.

Benchmarking for Success: Discover how benchmarking can help drive quality initiatives and foster continuous improvement.

Quality Frameworks: Learn about the contributions of quality gurus (Deming, Crosby, Juran) and how their models can be applied in real-world scenarios.

Why Attend?

Continuous Improvement: Gain expertise in tools and strategies that drive continuous quality improvement.

Customer Satisfaction: Learn how to ensure customer-driven quality in every aspect of your organization.

Achieve Operational Excellence: Master TQM to optimize processes, reduce waste, and improve overall business performance.

📍 Enroll Today: TQM Smart Tools for Continuous Improvement

#TQM #QualityManagement #Lean #SixSigma #ContinuousImprovement #Benchmarking #ProcessImprovement #ISO9000