InfoQ Homepage DevOps Content on InfoQ
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Stripe Rearchitects Its Observability Platform with Managed Prometheus and Grafana on AWS
Stripe replaced its observability platform, which used a third-party vendor solution, with a new architecture utilizing managed services on AWS. The company made the move due to scalability limits, reliability issues, and increasing costs while transitioning to microservices. The migration involved dual-writing metrics, translating assets, validation, and user training.
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Anna Berenberg Talks at QCon San Francisco on Google's One Network
Anna Berenberg, an Engineering Fellow at Google Cloud, unveiled One Network, a cloud-agnostic architecture that simplifies complex interconnected systems. Unifying disparate environments and leveraging open-source technologies enhances operational efficiency and consistency in security policies, empowering developers to focus on service endpoints while ensuring seamless platform integration.
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Scaling OpenSearch Clusters for Cost Efficiency Talk by Amitai Stern at QCon San Francisco
Amitai Stern, engineering manager at Logz.io and OpenSearch Leadership Committee member delivered practical insights on efficient OpenSearch cluster management at QCon San Francisco. His session highlighted strategies for scaling effectively amidst fluctuating workloads, focusing on optimal shard management and resource allocation to minimize costs without compromising performance.
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Rise of Python, Generative AI, and Global Developer Communities: Insights from GitHub Octoverse 2024
Recently, the GitHub Octoverse 2024 report revealed that Python has surpassed JavaScript as the most popular language on GitHub, primarily driven by its dominance in fields like data science, machine learning, and scientific computing. Generative AI continued its significant prominence in software development, with a substantial increase in contributions to generative AI projects on GitHub.
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Microsoft Introduces Long-Awaited Local Emulator for Azure Service Bus
Microsoft has unveiled a local Azure Service Bus emulator, transforming the way developers create and test applications. This tool eliminates cloud dependencies and costs, offering a streamlined development cycle and precise debugging in an isolated environment. Compatible with the latest SDKs, it empowers developers to innovate efficiently while ensuring reliable application communication.
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High-Performance Serverless with Rust: Insights from Benjamen Pyle’s Talk at QCon San Francisco
Benjamen Pyle's talk showcased the power of combining Rust with AWS Lambda for high-performance, scalable, serverless applications. He highlighted Rust's safety and efficiency and its ability to minimize cold start times and costs. Pyle emphasized best practices like multi-Lambda designs and infrastructure like code, enabling developers to build solutions that drive efficiency and sustainability.
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Timescale Bolsters AI-Ready PostgreSQL with pgai Vectorizer
Timescale recently expanded its PostgreSQL AI offerings with pgai Vectorizer. This update enables developers to create, store, and manage vector embeddings alongside relational data without the need for external tools or additional infrastructure.
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KubeCon + CloudNativeCon NA 2024: Key Announcements and Projects Updates
Last week, the cloud-native community gathered in Salt Lake City, Utah, for KubeCon + CloudNativeCon North America 2024. Practitioners, tech leaders, and vendors explored the latest innovations and technologies defining cloud-native computing.
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GitHub Universe 2024 Unveils AI Innovations and Developer-Centric Tools
GitHub Universe 2024 unveiled groundbreaking updates emphasizing developer autonomy and AI capabilities. With multi-model support for Copilot, the introduction of AI-driven GitHub Spark, enhanced security features, and improved workflows in popular IDEs, GitHub aims to democratize coding and empower developers, regardless of skill level, to harness the full potential of artificial intelligence.
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Native Vector Support in Azure SQL Database in Public Preview
Azure SQL Database now supports native vector storage and processing, streamlining AI development by integrating vector search with SQL queries. This update simplifies database management, enhances data analysis, and boosts performance by eliminating data movement. Ideal for diverse applications, it empowers sectors like e-commerce and healthcare with advanced, context-aware functionalities.
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Thoughtworks Technology Radar Oct 2024 - From Coding Assistance to AI Evolution
Thoughtworks recently published their Technology Radar Volume 31, providing an opinionated guide to the current technology landscape. As per the Technology Radar, Generative AI and Large Language Models (LLMs) dominate, with a focus on their responsible use in software development. AI-powered coding tools are evolving, necessitating a balance between AI assistance and human expertise.
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AWS Amplify and Amazon S3 Integration Simplifies Static Website Hosting
AWS has launched a seamless integration between Amplify Hosting and S3, revolutionizing static website deployment. This robust solution enables developers to quickly publish sites, configure custom domains, and manage updates effortlessly, all backed by Amazon's global CDN. Enjoy fast, secure hosting without complex setups—optimized for performance and efficiency.
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AWS CodeBuild Adds Support for Managed GitLab Runners
Recently, AWS CodeBuild introduced support for managed GitLab self-hosted runners, towards advancement in continuous integration and continuous delivery (CI/CD) capabilities. This new feature allows customers to configure their CodeBuild projects to receive and execute GitLab CI/CD job events directly on CodeBuild's ephemeral hosts.
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Google Cloud Boosts Observability Capabilities with Log Scopes
Google Cloud recently introduced log scopes for Cloud Logging, aimed at improving how organizations manage and analyze their logs. This enhancement addresses the common challenge of finding relevant data from the vast amount of information in observability tools.
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How Allegro Reduced the Cost of Running a GCP Dataflow Pipeline by 60%
Allegro achieved significant savings for one of the Dataflow Pipelines running on GCP Big Data. The company continues working on improving the cost-effectiveness of its data workflows by evaluating resource utilization, enhancing pipeline configurations, optimizing input and output datasets, and improving storage strategies.