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

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Integrating APIs with Terraform can simplify and automate the management of cloud infrastructure. This article from Nitric explores how to manage APIs using Terraform, offering insights into best practices and strategies for API provisioning, deployment, and configuration. Learn how to effectively use Terraform to streamline your API management, enhance scalability, and reduce manual operations.

https://nitric.io/blog/terraform-api
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Backstage is a powerful platform for managing developer infrastructure, and it can streamline the creation of infrastructure resources. This article from Medium explains how Inventa uses Backstage to simplify infrastructure resource creation, offering a unified interface for managing and provisioning cloud resources. Learn how Backstage integrates with tools like Terraform to automate resource creation and improve developer efficiency.

https://medium.com/building-inventa/infrastructure-resource-creation-with-backstage-f36ae01633b5
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Using PostgreSQL as a search engine can be a powerful and cost-effective solution for certain use cases. This article from AnyBlockers discusses how PostgreSQL can be configured to handle search functionality, leveraging features like full-text search, indexing, and extensions like pg_trgm. Learn about the advantages and limitations of using PostgreSQL as a search engine, and how it can be optimized for specific search requirements.

https://anyblockers.com/posts/postgres-as-a-search-engine
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Hiring the right Chief Technology Officer (CTO) is critical for a company's success, especially in tech-driven industries. This article from Khosla Ventures provides guidance on how to hire a CTO, discussing the key qualities to look for, such as leadership skills, technical expertise, and strategic vision. It also covers the importance of aligning the CTO with the company’s goals and culture to ensure long-term success.

https://www.khoslaventures.com/how-to-hire-a-cto
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Kubernetes 1.31 introduces significant updates, particularly aimed at enhancing support for AI/ML workloads and networking capabilities. This article from The New Stack discusses the new features and improvements in Kubernetes 1.31, including better resource management for machine learning tasks and advanced networking functionalities. Learn how these updates can improve the performance, scalability, and efficiency of Kubernetes clusters, especially for AI and ML applications.

https://thenewstack.io/kubernetes-1-31-arrives-with-new-support-for-ai-ml-networking
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While Database-as-a-Service (DBaaS) solutions offer significant convenience and scalability, they also come with hidden costs that can affect long-term operational efficiency and expenses. This article from The New Stack explores the trade-offs associated with DBaaS, such as vendor lock-in, performance limitations, and higher costs at scale. Learn how to weigh the pros and cons of DBaaS to make more informed decisions about managing your database infrastructure.

https://thenewstack.io/the-hidden-cost-of-dbaass-convenience
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Optimizing global message transit latency is a critical challenge for real-time applications that rely on fast and reliable message delivery. This article dives into the technical intricacies of TCP configuration, exploring how fine-tuning settings can minimize latency and enhance communication efficiency on a global scale. By leveraging insights into TCP behaviors and adjustments, readers can learn practical methods for optimizing message transit across networks.

https://ably.com/blog/optimizing-global-message-transit-latency-a-journey-through-tcp-configuration
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As this channel, but for Python developers 🐍👨‍💻

🔗 Python notes
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Debugging complex distributed systems often requires innovative solutions, especially when issues arise only in production environments. This article explores the concept of "production neighbors," a debugging technique that leverages similar workloads and configurations in neighboring systems to troubleshoot and resolve production issues effectively. Through real-world examples, readers can gain insights into how Uber's engineering team improves debugging efficiency and reduces downtime.

https://www.uber.com/en-IN/blog/debugging-with-production-neighbors/
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Building a Kubernetes Admission Controller can be a powerful way to manage and enforce policies within a cluster, especially when dealing with specific infrastructure requirements. This article details the process of developing an Admission Controller using Kotlin to address an Azure Kubernetes Service (AKS) add-on issue related to User Defined Routes (UDR). It provides practical guidance on how to implement custom checks and configurations, helping developers better control Kubernetes behavior in AKS environments.

https://eggboy.medium.com/developing-kubernetes-admission-controller-with-kotlin-fixing-aks-add-on-issue-in-udr-23418ab21d56