InfoQ Homepage application performance management Content on InfoQ
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Performance Tuning Techniques of Hive Big Data Table
In this article, author Sudhish Koloth discusses how to tackle performance problems when using Hive Big Data tables.
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Training from the Back of the Room and Systems Thinking in Kanban Workshops: Q&A with Justyna Pindel
In the book Kanban Compass, Justyna Pindel shares her experiences from applying training from the back of the room and systems thinking in her Kanban workshops. She adapted her training approach by connecting with attendees and providing them suitable exercises to maximize learning opportunities.
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Monitoring Microservices the Right Way
Modern systems are more complex to monitor as they tend to emit large amounts of high cardinality data. Recent innovations in open-source time series databases have improved the scalability of newer monitoring tools such as Prometheus. These solutions are able to handle the high scale of data while providing metric scraping, querying, and visualization based on Prometheus and Grafana.
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Instrumenting the Network for Successful AIOps
AIOps platforms empower IT teams to quickly find the root issues that originate in the network and disrupt running applications. AI/ML algorithms need access to high quality network data to determine what went wrong and where. Network visibility starts from TAPs around network equipment, and teams can add application instrumentation and logs as data sources for complete insights.
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Load Testing APIs and Websites with Gatling: It’s Never Too Late to Get Started
Conducting load tests against APIs and websites can both validate performance after a long stretch of development and get useful feedback from an app in order to increase its scaling capabilities and performance. Engineers should avoid creating “the cathedral” of load testing and end up with little time to improve performance overall. Write the simplest possible test and iterate from there.
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Resilience in Deep Systems
Deep systems, with multiple layers of microservices, have special challenges, and handling them requires the right mindset and tools.
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Realtime APIs: Mike Amundsen on Designing for Speed and Observability
In a recent apidays webinar, Mike Amundsen, trainer and author of the recent O’Reilly book “API Traffic Management 101”, presented “High Performing APIs: Architecting for Speed at Scale”. Drawing on recent research by IDC, he argued that organisations will have to drive systemic changes in order to meet the upcoming increased demand of consumption of business services via APIs.
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Understandability: The Most Important Metric You’re Not Tracking
Understandability is the concept that a system should be presented so that an engineer can easily comprehend it. The more understandable a system is, the easier it will be for engineers to change it in a predictable and safe manner. A system is understandable if it meets the following criteria: complete, concise, clear, and organized.
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The Fundamental Truth behind Successful Development Practices: Software is Synthetic
Software systems are creative compounds, emergent and generative; the product of complex interactions between people and technology. They are different from the orderly, analytic worlds that our school-age selves expect to find. Being so full of complexity and uncertainty, we use a different way to arrive at a solution.
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Q&A with Tyler Treat on Microservice Observability
Tyler Treat attempts to disambiguate the concepts of Observability and Monitoring. He discusses how the complexity of elastic systems produces more unknowns that require a discovery-based approach. InfoQ recently sat down with Treat to discuss the topics of observability and monitoring, and he shares some challenges and best practices when introducing observability concepts.
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Lessons Learned in Performance Testing
Performance testing is a hard discipline to get right and many things can go wrong. The key is to pay attention to the details, understand the behavior, and avoid just producing fancy numbers. This article describes a few common problems seen frequently with performance testing and shares tips on how to make your performance testing routine better.
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Understanding Serverless: Tips and Resources for Building Servicefull Applications
There are still many misconceptions and concerns regarding serverless solutions. Vendor lock-in, tooling, cost management, cold starts, monitoring and the development lifecycle are all hot topics where serverless technologies are concerned. This article shares tips and resources to guide serverless newcomers towards building powerful, flexible and cost-effective serverless applications.