#DevOps Performance

[trailynne]

📅 Daily I/O Log – 2025.05.08

🧠 Morning Mindset

Book: Think & Grow Rich

Takeaway:

- Lack of persistence is one of the major causes of failure. - Lack of persistence is a weakness common to the majority of men, a weakness which may be overcome by effort. - The starting point of all achievement is desire. Keep this constantly in mind. - If you find yourself lacking in persistence, this weakness may be remedied by building a stronger fire under your desires. How to Develop Persistence a) A definite purpose backed by burning desire for it's fulfillment. b) A definite plan, expressed in continuous action. c) A mind closed tightly against all negative and discouraging influences, including negative suggestions of relatives, friends, and acquaintances. d) A friendly alliance with one or more persons who will encourage one to follow through with both plan and purpose.

💪🏽 Fitness Focus

Yoga -> Yin Yoga for Lung Cleanser ( L1 | 33m )

💻 Code Challenges

Platform: LeetCode Challenge: 2626. Array Reduce Transformation, 2629. Function Composition

🎓 Course Progress

➤ Personal Branding: Stand Out and Succeed • Focus: Note Taking • Module 2: People as Brands

➤ Full-Stack JavaScript Developer • Focus: Note Taking • Module 2: Introduction to Development (Introduction to Software Development)

[atatusapm]

Struggling with Microservices Monitoring?

Struggling with Microservices Monitoring?

Microservices architectures bring agility but also complexity. From Microservices application Monitoring to tackling real-time challenges in Microservices Monitoring, the right APM tool makes all the difference.

🔍 Discover how Application Performance Monitoring (APM) boosts microservices observability, performance, and reliability.

✅ Ensure seamless APM for Microservices ✅ Resolve bottlenecks faster ✅ Achieve end-to-end visibility

📖 Read now: https://www.atatus.com/blog/importance-of-apm-in-microservices

[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.

[cloudolus]

Amazon RDS for MySQL | Streamline Your Database Management RDS for MySQL offers a managed MySQL database environment, one of the most popular open-source databases. MySQL is known for its simplicity, reliability, and robust community support, making it an excellent choice for web applications and CMS platforms.- Key Features:  - Automatic backups, snapshots, and point-in-time recovery.  - Support for major MySQL versions and plugins.  - Seamless scaling of compute and storage resources.  - Multi-AZ deployments and Read Replicas for enhanced performance.- Use Cases:  - Content management systems.  - E-commerce sites.  - Small to medium-sized web applications.Key Benefits of Choosing the Right Amazon RDS Database:1. Optimized Performance: Select an engine that matches your performance needs, ensuring efficient data processing and application responsiveness. 2. Scalability: Choose a database that scales seamlessly with your growing data and traffic demands, avoiding performance bottlenecks. 3. Cost Efficiency: Find a solution that fits your budget while providing the necessary features and performance. 4. Enhanced Features: Leverage advanced capabilities specific to each engine to meet your application's unique requirements. 5. Simplified Management: Benefit from managed services that reduce administrative tasks and streamline database operations.Conclusion:Choosing the right Amazon RDS database engine is critical for achieving the best performance, scalability, and functionality for your application. Each engine offers unique features and advantages tailored to specific use cases, whether you need the speed of Aurora, the extensibility of PostgreSQL, the enterprise features of SQL Server, or the robustness of Oracle. Understanding these options helps ensure that your database infrastructure meets your application’s needs, both now and in the future.

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#AmazonRDS #RDSMonitoring #PerformanceInsights #CloudWatch #AWSDevOps #DatabaseOptimization #ClouDolus #ClouDolusPro

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[techbreeze-it-solutions]

Introducing Spike Sleuth, a real-time Linux disk I/O monitoring tool designed to help you identify and analyze unexpected disk activity spikes. Born from the need to pinpoint elusive IOPS alerts, Spike Sleuth offers a lightweight solution that logs processes, users, and files responsible for high disk usage without adding overhead. Whether you're a developer, system administrator, or solutions architect, this tool provides the insights needed to maintain optimal system performance.​ Discover how Spike Sleuth can enhance your system monitoring and help you stay ahead of performance issues.​ #Linux #Monitoring #OpenSource #SystemAdmin #DevOps

[goodoldbandit]

How to Use Telemetry Pipelines to Maintain Application Performance.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Optimize application performance with telemetry pipelines—enhance observability, reduce costs, and ensure security with efficient data processing. 🚀 Discover how telemetry pipelines optimize application performance by streamlining observability, enhancing security, and reducing costs. Learn key strategies and best…

[market-insider]

Automation Testing Insights: Transforming Testing

The global automation testing market size is expected to reach USD 92.45 billion by 2030. Prominent technological advancement in artificial intelligence (AI) and machine learning (ML) is propelling the demand for the market. Mobile application usage is growing across various end-user industries, and smartphone penetration is rising, opening an attractive potential for market expansion. Furthermore, there is a rising demand for automation testing as web-based applications have developed significantly and new software technologies have emerged. The market is growing rapidly due to the increasing usage of ML and AI for advanced analytics and continuous testing across DevOps and DevSecOps areas.

Automation Testing Market Report Highlights

The services segment dominated the market and accounted for over 56% of the global revenue owing to rapid advancements in implementation services, which make it easier to include automation into a functioning infrastructure for software testing

With the aid of this service, automation is integrated into an existing software automation testing setup

The large enterprises segment held the largest revenue share in 2022 as it helps improve efficiency, reduce manual effort, increase test coverage, and ensure the quality of software applications

The BFSI segment is estimated to have significant growth over the forecast period; adopting digitalization in the BFSI sector creates a significant demand for application software automation testing

Gain deeper insights on the market and receive your free copy with TOC now @: Automation Testing Market Report

The emerging use of RPA to automate time-consuming, error-prone manual processes are just a few instances of the usage of AI & ML in automation testing. Moreover, a bot uses the page’s numerous links and web forms to systematically explore through an online application when web crawling or spidering. This is a new use for AI and ML in automation testing. This approach is typically used for indexing online browsing. It may be improved further to perform reverse engineering on an application being tested and automatically find Test Cases. Emerging automation testing tools are significantly fueling market growth.

For instance, Testcraft, a codeless Selenium test automation platform for regression and continuous testing, as well as monitoring of web applications, is gaining traction among users. Their revolutionary AI tech removes maintenance time and cost, as it certainly affects changes in the app. Similarly, Applitools Eyes, Testim, and Test.ai are more automation testing tools propelling the market growth. Furthermore, mergers and acquisitions by other key players are propelling market growth. For instance, in 2022, to improve the user experience on 5G smartphones, Key sight introduced AI-driven and automated testing. Automation and AI enable mobile service providers and app developers to more swiftly evaluate how smartphone users engage with native apps in the real world.

[qicon]

Looking for the best Performance testing Institute in Hyderabad, join Qicon. We offer the best training in Ameerpet Hyderabad, with Quality Trainers, Live projects as well as placement Assistance.

[technicalfika]

Exciting Mock interview with DevOps/AWS engineer #devops #cloud #aws #devopsengineer #cloudengineer

Interviewer: Welcome to this exciting mock interview for the role of a DevOps/AWS Engineer! Today, we have an enthusiastic candidate eager to showcase their skills. Let’s begin! Candidate: Thank you! I’m thrilled to be here. Interviewer: Great to have you. Let’s start with a classic question: What attracted you to the field of DevOps and working with AWS? Candidate: DevOps combines my passion…

[trailynne]

📅 Daily I/O Log – 2025.05.07

🧠 Morning Mindset

Book: Atomic Habits

Takeaway:

- The 3rd Law of Behavior Change is make it easy - The most effective form of learning is practice, not planning. - Focus on taking action, not being in motion. - Habit formation is the process by which a behavior becomes progressively more authentic through repetition. - The amount of time you have been performing a habit is not as important as the number of times you have performed it.

💪🏽 Fitness Focus

Cardio Step Routine

Yoga

💻 Code Challenges

Platform: HackerRank Challenge: 3 Month Preparation Kit - Week 1 - Camel Case 4

🎓 Course Progress

➤ Personal Branding: Stand Out and Succeed • Focus: Study • Module 2: People as Brands

➤ Full-Stack JavaScript Developer • Focus: Study • Module 2: Introduction to Development (Introduction to Software Development)

[princesscolumbia]

Adventurer (me) Seeking Quest (employment)

Is anyone working for an employer that does remote work and is based in Seattle, WA, USA? I need to stay in Arizona until July 2026 for family reasons, but I would LOVE to move and lend my skills to a company who could use them, supports queer folk, and will pay me what I'm worth.

What I can do:

I know enough HTML, CSS, and Javascript to piss off people on dev teams who count on the rest of the company not knowing what they're doing

I'm an Excel GODDESS (VLookup is legacy garbage, use Xlookup or, even better, pipe the data through Power Query and use Power Pivot)

My current job is a combination Salesforce power-user, data analyst, devops, and project manager. Does my job title reflect ANY of that? Of COURSE not...

Prior to that, I was a Team Lead in charge of the Florida market, something I did while working remote. I worked with two others to manage a team of approx. 30 people.

I'm a member of the Pride ERG for the company and was selected to attend the Washington D.C HRC Dinner in 2024.

In 2022 I won an award from my current employer for creating a new, streamlined process for scheduling appointments.

Before that I was a Customer Care agent for the same company and went from a temp worker to the Top 5 performers in 6 months

Before I switched to Customer Care I was a "generalist" I.T. worker for 15 years, working as break-fix, housecalls, working as part of an I.T. team, being "the Mac guy" for a print shop, managing the I.T. for an insurance agency, and even working for Apple (retail, don't get too excited)

Why you should hire me:

If you're wrong, I'll tell you as much. I don't care if you're the same pay scale or the Owner/CEO. You're paying me and part of the value is when my expertise helps me see a red flag. Whether you listen to me or not is up to you.

If I don't know something, I won't bullshit you. I'll tell you to your face, "I don't know." I will then turn my Superpowers on the question and proceed to find out the answer, or at least get somewhat closer to the answer than you might have been before.

My superpowers are being Neurodivergent. I WILL hyperfocus until a project is done

I require little in the way of praise. So long as you're paying me enough to pay my bills and take care of my family and have enough left over for retirement and hobbies, I almost never ask anything

I strongly believe in making the boss look good. If you look good, you'll like what I do for you to make you look good

My Philosophy:

I believe in being ambitiously lazy. I will do as much work as needed to get the job done so I don't have to do it again. Having to do a thing a second time for anything short of prior failure means you've wasted people's time and money the first time

I would rather do MASSIVE amounts of work NOW if it means it will make my workload/job easier tomorrow

If you're in "emergency" mode for longer than 24 hours, you're doing something wrong. If you're in "crisis" mode for longer than 7 days, you're doing something wrong.

Unless you need to physically touch something in a building for the purpose of getting that specific thing to someone else that needs the physical thing, there is no need to work in an office. Remote Work is correct, as is Hybrid. Information workers do NOT need to work in an office.

There is no such thing as unskilled workers, only under-valued workers

The difference between me and anyone else is time and space. I am not inherently worth more or less than anyone else

Conversely, nobody gets "special treatment," everyone gets the same excellent treatment, period

Things to know about me:

I write fiction. If you're seeing me here you likely can find my work with a few clicks. Yes, that includes NSFW stuff. No, I won't work for a discount if you read my stuff, but read it anyway and leave a comment. 😋

I have a polycule and a daughter

I'm a pretty darn good home cook

If you want to hire me:

DM me to get my phone number and direct email

Prepare to help with moving expenses if at all possible. No matter what I'll be moving to Seattle after July 2026, how fast that goes depends on how quickly money can be applied directly to the problem of getting me there (Moving assistance == faster, no moving assistance == slower)

Be ready for me to jump in as soon as you have an opening and say, "Yes." My current employer has passed me over for promotion 3 times in the last 5 years even when my direct boss has been pushing for it repeatedly

[cherami-chat]

Regarding Migration!

alright so, we ran into an unexpected complication. i was basing my previous estimates upon the server having SSDs. it does not have SSDs. it used old fashioned Hard Drives that spin. 48 hour cap for the migration is no longer viable. instead it could take up to five days. i hope that it doesn't, and we're doing everything we can think of to gain extra performance for the migrations, but as it currently stands this is the state of things. bear this in mind. sorry for the inconvenience! devops is hard. -Hex

Thank you for understanding!

[cloudolus]

Amazon RDS for MariaDB | Simplify Database Management RDS for MariaDB is a fork of MySQL, offering additional features, security enhancements, and improved performance. It is fully compatible with MySQL and provides a rich ecosystem of storage engines, plugins, and tools.- Key Features:  - Enhanced security features like data-at-rest encryption and data masking.  - Support for MariaDB-specific features such as the Aria storage engine.  - Seamless compatibility with MySQL, enabling easy migration.  - Automated backups, monitoring, and maintenance.- Use Cases:  - Applications needing advanced security and performance.  - Users looking for an enhanced, open-source alternative to MySQL.  - Web applications with moderate to high traffic.Key Benefits of Choosing the Right Amazon RDS Database:1. Optimized Performance: Select an engine that matches your performance needs, ensuring efficient data processing and application responsiveness. 2. Scalability: Choose a database that scales seamlessly with your growing data and traffic demands, avoiding performance bottlenecks. 3. Cost Efficiency: Find a solution that fits your budget while providing the necessary features and performance. 4. Enhanced Features: Leverage advanced capabilities specific to each engine to meet your application's unique requirements. 5. Simplified Management: Benefit from managed services that reduce administrative tasks and streamline database operations.Conclusion:Choosing the right Amazon RDS database engine is critical for achieving the best performance, scalability, and functionality for your application. Each engine offers unique features and advantages tailored to specific use cases, whether you need the speed of Aurora, the extensibility of PostgreSQL, the enterprise features of SQL Server, or the robustness of Oracle. Understanding these options helps ensure that your database infrastructure meets your application’s needs, both now and in the future.

[stuarttechnologybob]

What is an open source platform used for?

Open Source Development

An open source platform is a type of software whose source code or the base code is freely available to the public and open in segments. This means anyone can view, use, modify, and share the code. Open source platforms are widely used across industries because they offer flexibility, cost savings, and community-driven innovation. Open source development has become an initial go-to approach and one of the ideal options for building scalable and secure digital solutions.

Common Uses of Open Source Platforms -

1. Web and App Development

Open source platforms like WordPress, Drupal, and Joomla are widely used for building websites. The coders working in open source development department can customize and personalize these platforms to meet specific and unique business needs. Similarly, common frameworks such as React, Angular, and Laravel facilitate the development of dynamic and feature-rich web applications with their implementation and usage.

2. Operating Systems and Servers

Linux is one of the most well-known open-source operating systems. Many companies use Linux-based servers for hosting websites and applications because they are secure, fast, and cost-effective. These platforms are maintained by communities that constantly improve performance and patch vulnerabilities.

3. Cloud Computing

While the additional tools like OpenStack and Kubernetes are open source platforms and mediums that support the cloud infrastructure. They help businesses to manage their storage, networking, and computing resources efficiently while keeping operating costs low through open-source development.

4. Software Testing and DevOps

Open source tool and the common resources such as Selenium (for test automation) and Jenkins (for continuous integration) are essential and most considered in DevOps environments and stiff settings. These tools support the automated testing process, faster deployments, and seamless collaboration.

5. Data Management and Analytics

Platforms like Hadoop, Apache Spark, and PostgreSQL facilitate the processing and management of large datasets. These open-source solutions are widely used and leveraged in industrial sectors such as healthcare, finance with e-commerce for better understanding.

Why Do Businesses Prefer Open Source?

Open source platforms are cost-effective, highly customizable, and backed by active communities. They reduce and lower down the dependency on single vendors and parties and offer a general transparency in security and performance with its adaptation into the system or the infrastructure. Trusted providers and professional experts like Suma Soft, IBM, and Cyntexa specialize in delivering tailored and custom solutions through open source development, helping businesses to stay flexible, secure, and future-ready in this digital age and competitive market.

[megafan1993]

I was replaying Tokyo Mirage Sessions ( a great game that gets too much hate), and I was thinking about Itsuki and how I don't think becoming the President of Fortuna Entertainment was the right choice.

I know they were going for the idea of a surporting MC, and becoming the leader fits in with the Lord aspect of FE, but I still don't really like it.

My idea is that instead, Itsuki should have become a songwriter, and that's how he supports his friends and shows his own creative skills.

This isn't just a random idea I have as the gane itself shows that Itsuki dose have a way around words such as with his descriptions of the local foods and drinks best shown off in Yashiro frist sidequest and Tiki second.

Tiki's third side quest is where Itsuki decides to write a song for Tiki, which she ends up performing. The song is called "This world is not an illusion" (one of the best songs in the game). This in-universe is considered her best song, and it's one she takes back home with her and performs.

Basically, Itsuki has the skills, and seeing how important singing is for this game, I really think it would have added so much to his character if he was the one writing the songs for his friends near the end and helping to bring out there skills.

This could also tie into the Opera of Light as imagine if the song itself was written by Itsuki and was the confirmation of his growth and devopment. It would also explain why he was the one to take on Marths role.

Sorry about this random rant, but this has been on my mind for a while, and I just want to let it out.