DevOps & SRE notes – Telegram
DevOps & SRE notes
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Helpfull articles and tools for DevOps&SRE

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Discord embarked on a six-month project to reduce bandwidth usage for their clients, particularly on iOS and Android, aiming to create a more responsive experience. The initiative focused on improving the "gateway" service, which provides real-time updates to clients, by transitioning from zlib compression to zstandard, which offers higher compression ratios, faster compression times, and support for dictionaries[

https://discord.com/blog/how-discord-reduced-websocket-traffic-by-40-percent

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The article discusses a critical incident involving Postgres indexing at a high-volume database with billions of rows. It highlights the potential pitfalls of concurrent indexing, which can fail silently and lead to performance issues. The author shares best practices for Postgres indexing, including using the CONCURRENTLY flag, monitoring index creation, validating indexes manually, and properly handling partitioned tables.

https://blog.bemi.io/indexing/
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The article provides a step-by-step guide on deploying a Node.js application to AWS Lambda using OpenTofu and GitHub Actions. It demonstrates how to automate the deployment process, leveraging infrastructure as code principles and continuous integration/continuous deployment (CI/CD) practices for efficient and reliable serverless application deployment.

https://developer-friendly.blog/blog/2024/09/02/how-to-deploy-nodejs-to-aws-lambda-with-opentofu--github-actions
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Netflix's Key-Value Data Abstraction Layer (KV DAL) is a versatile solution designed to simplify data access and enhance infrastructure reliability.

https://netflixtechblog.com/introducing-netflixs-key-value-data-abstraction-layer-1ea8a0a11b30
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OpenSauced shares their experience in significantly reducing costs by implementing open-source AI technologies on a large scale using Kubernetes. Their approach demonstrates how organizations can leverage cost-effective solutions for AI deployment without compromising on performance or capabilities.

https://dev.to/opensauced/how-we-saved-10s-of-thousands-of-dollars-deploying-low-cost-open-source-ai-technologies-at-scale-with-kubernetes-57j8
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AWS explores strategies for optimizing costs associated with generative AI implementations in enterprise environments. The blog post likely provides insights into efficient resource allocation and cost-effective approaches for leveraging generative AI technologies on the AWS platform.

https://aws.amazon.com/blogs/enterprise-strategy/generative-ai-cost-optimization-strategies
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The author shares their experience with OpenTelemetry, highlighting its potential as a unified observability framework for logs, metrics, and traces. They discuss the benefits of OpenTelemetry's vendor-agnostic approach and its ability to simplify data collection from various sources, while also addressing challenges such as complexity and documentation gaps.

https://medium.com/@magstherdev/opentelemetry-journey-87efbfa261db
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The article explores the challenges of creating code that is not only functional for computers but also intuitive for human developers to use and understand. He emphasizes the importance of user-friendly design in frameworks, libraries, and APIs, highlighting the need for easy onboarding, learning through examples, and avoiding conceptual overload.

https://erikbern.com/2024/09/27/its-hard-to-write-code-for-humans.html
This exploration delves into the reasons behind the adoption of Infrastructure as Code (IaC) in cloud and Kubernetes environments, comparing it with traditional Graphical User Interfaces (GUIs) and Command-Line Interfaces (CLIs). It highlights the advantages and challenges of IaC, discussing its ability to address limitations found in GUIs and CLIs while acknowledging the learning curve and complexity associated with its implementation

https://itnext.io/what-drives-users-to-infrastructure-as-code-848e8640a506
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