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Showing posts older than #1879 Β· Back to latest

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Post #1877 2.35K
Serverless computing is experiencing a resurgence, offering developers a simpler, more scalable way to build modern applications. This article dives into the reasons behind the renewed interest in serverless and its evolving role in the tech landscape.

https://www.fermyon.com/blog/why-serverless-is-trending-again

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Fermyon β€’ Experience the next wave of cloud computing. Why Serverless Is Trending Again The resurgence of serverless is due to a clearer definition, increased productivity, success stories, and WebAssembly improvements.
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Post #1872 2.76K
The article "Expert Guide on Selecting Observability Products" explores the evolution of observability tools and offers guidance on choosing solutions that align with an organization's specific needs. It emphasizes the importance of comprehensive monitoring, intelligent data analysis, and anomaly detection in managing modern, distributed systems.

https://www.cloudraft.io/blog/guide-to-observability

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CloudRaft Expert Guide on Selecting Observability Products How to select observability products in 2024? Our comprehensive guide is based on our research and experiences with various observability products.
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Post #1871 2.72K
The article discusses the limited visibility in Continuous Integration and Continuous Deployment (CI/CD) processes and how OpenTelemetry is enhancing observability in these areas. By adopting OpenTelemetry standards, organizations can gain insights into previously unobservable aspects of CI/CD pipelines, leading to improved efficiency and proactive issue resolution.

https://grafana.com/blog/2024/07/08/ci-cd-observability-a-rich-new-opportunity-for-opentelemetry/

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Grafana Labs CI/CD observability: A rich, new opportunity for OpenTelemetry | Grafana Labs If we shift our observability focus to the left, we can address issues in CI/CD before they escalate.
Post #1868 2.91K
Post #1867 2.88K
In June 2024, Netflix detailed its implementation of service-level prioritized load shedding to enhance system reliability. This approach allows critical user-initiated requests to be prioritized over non-critical pre-fetch requests, ensuring a seamless viewing experience even during high traffic or backend latency issues.

https://netflixtechblog.com/enhancing-netflix-reliability-with-service-level-prioritized-load-shedding-e735e6ce8f7d

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Medium Enhancing Netflix Reliability with Service-Level Prioritized Load Shedding Applying Quality of Service techniques at the application level
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Post #1864 2.82K
Post #1860 2.62K
The article discusses efficient strategies for managing multiple environments in Terraform, emphasizing the importance of streamlined workflows and best practices. It likely explores techniques to optimize Terraform configurations for different deployment scenarios, aiming to improve development speed and maintainability across various environments.

https://medium.com/@maximonyshchenko/terraform-multi-env-chad-speed-cbee5d0d1ab9

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Medium Terraform + iTerm2 hack 🧠 Applying Terraform project to multiple envs in parallel
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Post #1859 2.64K
The blog post discusses the development of ngrok's data platform, detailing the company's approach to building a robust infrastructure for handling and analyzing data. It provides insights into the technical decisions and challenges faced by ngrok's engineering team in creating a scalable and efficient data processing system.

https://ngrok.com/blog-post/how-we-built-ngroks-data-platform

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ngrok blog How we built ngrok's data platform | ngrok blog At ngrok, we manage a ~100TiB, 500+ table data lake, managed by a very small team. Here's a look at how we built it and what unique challenges we solved.
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