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There are hundreds or probably thousands of Python best practices out there and depending on who you ask, you would get some slight variation on a given practice. But in this article, we will be dealing with 50 Python best practices that are set in stone. These are practices that even God himself ca.. read more
Hudy built an open-source project manager to keep operational costs below $15 per month, after finding traditional tools like Trello, Jira, and Clickup to be too costly for their small team. Leveraging platforms like Vercel, AWS, Resend, and Cloudflare, they were able to keep costs low. The app incl.. read more
The Director of Technology at Spotlight PA shared insights on the history and architecture of the news site, detailing the evolution of their technical setup and the challenges faced along the way. The site was initially built on Hugo and JAMStack, later incorporating dynamic services to enhance fun.. read more
The Y2K bug was a computer glitch tied to the use of two-digit year representations. Developers resolved the issue by working with languages like COBOL that used goto statements. Identifying dependencies is crucial in software development to prevent issues like the Y2K bug... read more
The architecture of LLaMA 3 is largely similar to LLaMA 2, and these are the key points to understand the technical details. LLaMA 3 features components like Pre-normalization using RMSNorm, SwiGLU activation function, Rotary Embeddings (RoPE), and the Byte Pair Encoding (BPE) algorithm from the tik.. read more
The open, non-commercially licensed model specializes in more than 80 languages and already outperforms CodeLlama 70B and Deepseek Coder 33B... read more
This blog post discusses DevOps automation and its benefits for streamlining workflows, reducing errors, and expediting software delivery. It explores real-world use cases such as CI/CD pipelines, Infrastructure as Code (IaC), and automated monitoring & alerting. The blog also addresses challenges like cultural resistance and skills gaps, providing solutions to overcome them. Here are the key takeaways:
DevOps automation automates software development, IT operations, and delivery tasks.
Benefits include faster deployments, fewer errors, and improved resource utilization.
Common use cases involve CI/CD, IaC, and automated monitoring & alerting.
Challenges include cultural resistance, skills gaps, and tool selection.
To succeed, continuously assess tools, prioritize learning, and embrace experimentation.
By adopting DevOps automation, teams can become leaders in delivering high-quality software faster and more efficiently.
This blog series explores how Zabbix and Nagios users can leverage the SRE Golden Signals for effective application monitoring. It focuses on the importance of monitoring for maintaining high availability and introduces the concept of SRE Golden Signals.
SRE Golden Signals: These are four core metrics (Latency, Traffic, Errors, Saturation) that provide a foundational understanding of a system's health.
The blog delves into Latency, explaining how to measure it from different perspectives (client vs server) and the importance of differentiating between successful and failed request latencies. It highlights how Zabbix and Nagios can be configured to address these aspects.
The summary mentions that future parts will explore the remaining Golden Signals (Traffic, Errors, Saturation) and even delve into strategies for incorporating additional metrics for more in-depth monitoring.
❗ ❗ 🚀 Today is a good day! We have launched a new release of our Enterprise Edition! RELIANOID Load Balancer Enterprise Edition 6.2.34!! Would you like to try it? https://www.relianoid.com/blog/relianoid-load-balancer-enterprise-6-2-34-release-notes/ #release#enterprise#security#bugfixes#cherokee#le..
When running multi-tenant applications spanning hundreds of clusters and databases, it’s not uncommon to build extensive maintenance pipelines, monitoring, and on-call rotations to achieve database reliability. Many things can break, starting with bugs, inefficient queries written by developers, or inefficient configuration and indexing. Do you worry about your databases? You’re doing it wrong. Read on to see how to stop worrying and still have continuous database reliability.
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