InfoQ Homepage Performance Content on InfoQ
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Why Change Intelligence is Necessary to Effectively Troubleshoot Modern Applications
Change Intelligence is often a missing component in incident management. Successfully correlating monitoring and observability data to arrive allows engineers to arrive at the root cause more rapidly. Telemetry provides the building blocks that enable change intelligence to identify and map the root cause, based on changes in the system and their broader impact.
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The Next Evolution of the Database Sharding Architecture
In this article, author Juan Pan discusses the data sharding architecture patterns in a distributed database system. She explains how Apache ShardingSphere project solves the data sharding challenges. Also discussed are two practical examples of how to create a distributed database and an encrypted table with DistSQL.
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Why the Future of Monitoring Is Agentless
Traditionally, monitoring software has relied heavily on agent-based approaches for extracting telemetry data from systems. Observability requires better telemetry than agents currently provide. OpenTelemetry is driving advances in this area by creating a standard format and APIs to create, transmit, and store telemetry data. This unlocks new opportunities in observability.
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How Unnecessary Complexity Gave the Service Mesh a Bad Name
There is immense value in adopting a service mesh, but it must be done in a lightweight manner to avoid unnecessary complexity. Take a pragmatic approach when implementing a service mesh by aligning with the core features of the technology, such as standardized monitoring and smart routing, and watching out for distractions.
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Improving Speed and Stability of Software Delivery Simultaneously at Siemens Healthineers
In this article, we focus on the software delivery process at Siemens Healthineers Digital Health. The process is subject to strict regulations valid in the medical industry. We show our journey of transforming the process towards speed and stability. Both measures improved at the same time during the transformation, confirming research from the “Accelerate” book.
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Software Testing in the World of Next-Gen Technologies
The introduction of next-gen technologies like AI, Big Data, Robotics and IoT have quickly redefined the way the world looks at software technology. Some of the biggest impacts of these changing trends can be seen in the software testing industry. This article discusses how these emerging technologies need some new approaches, and changes to existing approaches to software testing.
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DevOps and Cloud InfoQ Trends Report - July 2021
This article summarizes how we see the "cloud computing and DevOps" space in 2021, which focuses on fundamental infrastructure and operational patterns, the realization of patterns in technology frameworks, and the design processes and skills that a software architect or engineer must cultivate.
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Solving Mysteries Faster with Observability
At QCon plus, a virtual conference for senior software engineers and architects covering the trends, best practices, and solutions leveraged by the world's most innovative software organizations, Elizabeth Carretto discussed observability at Netflix and how their internal tool, Edgar, comes into play.
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Using the Plan-Do-Check-Act Framework to Produce Performant and Highly Available Systems
The PDCA (plan-do-check-act) framework can be used to outline the performance, availability, and monitoring to enable teams to ensure performant and highly available applications. These include infrastructure design and setup, application architecture and design, coding, performance testing, and application monitoring.
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Evolution of Azure Synapse: Apache Spark 3.0, GPU Acceleration, Delta Lake, Dataverse Support
At Microsoft Build 2021, Azure Synapse has announced significant improvements for its Apache Spark pool, its performance, and data querying and integration capabilities. This article outlines the improvements and provides the context.
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Compiled, Typed, Ruby-Inspired Crystal Language is Ready for Production - Q&A with Beta Ziliani
The Crystal language is ready for production, 12 years after inception. Crystal is compiled for performance, typed for safety, and Ruby-like for productivity. Due to the strong type inference, developers need only sparse type annotations. We interviewed the head of the Crystal team on the language tradeoffs, the present features and the language roadmap.
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Cloud Native and Kubernetes Observability: Expert Panel
InfoQ recently caught up with Observability experts to discuss several topics including fundamental questions about what Observability really entails, the misconceptions and challenges that the users are facing, the open standards that are influencing the industry in general and why there is more interest in this area off late.