Learn strategies to handle Out-Of-Memory (OOM) issues in Kubernetes for Java applications to ensure smoother operations.
https://yonahdissen.medium.com/surviving-oom-in-kubernetes-java-applications-fd1fb1a65f02
https://yonahdissen.medium.com/surviving-oom-in-kubernetes-java-applications-fd1fb1a65f02
Medium
Surviving OOM in Kubernetes: Java Applications
Capturing JVM OOMs and beyond
👍6
Deploy production grade application to AWS and GCP in minutes.
https://github.com/launchflow/launchflow
https://github.com/launchflow/launchflow
GitHub
GitHub - launchflow/launchflow: Deploy production grade application to AWS and GCP in minutes.
Deploy production grade application to AWS and GCP in minutes. - launchflow/launchflow
👍5
Discover how Monzo manages seamless migrations across 2,800 microservices to maintain efficiency and stability.
https://monzo.com/blog/how-we-run-migrations-across-2800-microservices
https://monzo.com/blog/how-we-run-migrations-across-2800-microservices
Monzo
How we run migrations across 2,800 microservices
👍7
Learn how to build an internal CLI to streamline workflows and improve productivity within your organization.
https://blog.chay.dev/create-an-internal-cli/
https://blog.chay.dev/create-an-internal-cli/
blog.chay.dev
Create an internal CLI
Learn how to create a custom CLI for your organization using Just.
👍5
🛡 Terminal-based, real-time traffic monitoring and statistics for your AdGuard Home instance
https://github.com/lissy93/AdGuardian-Term
https://github.com/lissy93/AdGuardian-Term
GitHub
GitHub - Lissy93/AdGuardian-Term: 🛡️ Terminal-based, real-time traffic monitoring and statistics for your AdGuard Home instance
🛡️ Terminal-based, real-time traffic monitoring and statistics for your AdGuard Home instance - Lissy93/AdGuardian-Term
❤1
A time traveling resource monitor for modern Linux systems
https://github.com/facebookincubator/below
https://github.com/facebookincubator/below
GitHub
GitHub - facebookincubator/below: A time traveling resource monitor for modern Linux systems
A time traveling resource monitor for modern Linux systems - facebookincubator/below
👍7
A concise guide on setting up NVIDIA RTX GPUs in Kubernetes for optimized workloads.
https://www.jimangel.io/posts/nvidia-rtx-gpu-kubernetes-setup
https://www.jimangel.io/posts/nvidia-rtx-gpu-kubernetes-setup
Jim Angel | jimangel.io
A Practical Guide to Running NVIDIA GPUs on Kubernetes
Setup an NVIDIA RTX GPU on bare-metal Kubernetes, covering driver installation on Ubuntu 22.04, configuration, and troubleshooting.
👍5
Cheatshh is a CLI tool to store commands and their denoscriptions in a place you can look into as cheatshheat so you dont have to remember them.
https://github.com/AnirudhG07/cheatshh
https://github.com/AnirudhG07/cheatshh
GitHub
GitHub - AnirudhG07/cheatshh: Cheatshh is a CLI tool to store commands and their denoscriptions in a place you can look into as cheatshheat…
Cheatshh is a CLI tool to store commands and their denoscriptions in a place you can look into as cheatshheat so you dont have to remember them. - AnirudhG07/cheatshh
👍4💯1
An overview of scaling workloads efficiently using EKS, Fargate, Karpenter, and KEDA.
https://medium.com/@kaiohsdc/scaling-workloads-with-the-big-savings-quartet-eks-fargate-karpenter-and-keda-1d43d2bb5f72
https://medium.com/@kaiohsdc/scaling-workloads-with-the-big-savings-quartet-eks-fargate-karpenter-and-keda-1d43d2bb5f72
Medium
Scaling workloads with the big savings quartet: EKS, Fargate, Karpenter and Keda
Scale workloads on AWS with EKS, Fargate, Karpenter & Keda, leveraging Terraform, Istio, Prometheus & Grafana for efficient workloads.
👍7
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
🖥 Receives $200 credit on DigitalOcean 🚀
https://ngrok.com/blog-post/how-we-built-ngroks-data-platform
🖥 Receives $200 credit on DigitalOcean 🚀
ngrok blog
How we built ngrok's data platform
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.
👍2
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
🖥 Receives $200 credit on DigitalOcean 🚀
https://medium.com/@maximonyshchenko/terraform-multi-env-chad-speed-cbee5d0d1ab9
🖥 Receives $200 credit on DigitalOcean 🚀
Medium
Terraform + iTerm2 hack 🧠
Applying Terraform project to multiple envs in parallel
👍4👎1
A practical guide to monitoring Apache Airflow using OpenTelemetry.
https://newrelic.com/blog/how-to-relic/using-opentelemetry-to-monitor-apache-airflow
🖥 Receives $200 credit on DigitalOcean 🚀
https://newrelic.com/blog/how-to-relic/using-opentelemetry-to-monitor-apache-airflow
🖥 Receives $200 credit on DigitalOcean 🚀
New Relic
Using OpenTelemetry to monitor Apache Airflow
Learn what Apache Airflow is, why monitoring it matters, and how using OpenTelemetry to do so can help improve the reliability and performance of your Airflow workflows.
👍4
Vulnerability scanners often rely on databases like the NVD, which miss many fixes that don't have CVEs. This article explores how these gaps occur and their impact on security.
https://www.chainguard.dev/unchained/vulnerability-fixes-in-plain-sight-how-your-scanners-are-missing-hundreds-of-vulnerabilities
🖥 Receives $200 credit on DigitalOcean 🚀
https://www.chainguard.dev/unchained/vulnerability-fixes-in-plain-sight-how-your-scanners-are-missing-hundreds-of-vulnerabilities
🖥 Receives $200 credit on DigitalOcean 🚀
www.chainguard.dev
Vulnerability fixes in plain sight: How your scanners are missing hundreds of vulnerabilities
Are your vulnerability scanners missing critical security flaws? Discover how Chainguard's research reveals hundreds of vulnerabilities hiding in plain sight.
👍3❤2
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
🖥 Receives $200 credit on DigitalOcean 🚀
https://netflixtechblog.com/enhancing-netflix-reliability-with-service-level-prioritized-load-shedding-e735e6ce8f7d
🖥 Receives $200 credit on DigitalOcean 🚀
Medium
Enhancing Netflix Reliability with Service-Level Prioritized Load Shedding
Applying Quality of Service techniques at the application level
👍3🔥3🎉1
Embrace engineers shared their approach to optimizing ClickHouse for handling large log sizes. They addressed query performance and storage efficiency by restructuring queries and implementing skip indices.
https://embrace.io/blog/solving-large-logs-with-clickhouse/
🖥 Receives $200 credit on DigitalOcean 🚀
https://embrace.io/blog/solving-large-logs-with-clickhouse/
🖥 Receives $200 credit on DigitalOcean 🚀
Embrace
Solving large logs with ClickHouse
Embrace engineers share a few key learnings from supporting larger log sizes, including working around a current limitation in ClickHouse and testing several skip indices to optimize query performance and storage cost.
👍4❤2