📌 Mozilla fixes Firefox zero-day actively exploited in attacks
Hey there! Mozilla has recently patched a zero-day vulnerability in Firefox that was being actively exploited in attacks. This fix is super important for keeping your browsing experience safe and secure. Stay updated and make sure your Firefox browser is up to date to protect yourself against potential threats. Stay safe online, folks! 🛡🔒
🔗 Read the full article
Hey there! Mozilla has recently patched a zero-day vulnerability in Firefox that was being actively exploited in attacks. This fix is super important for keeping your browsing experience safe and secure. Stay updated and make sure your Firefox browser is up to date to protect yourself against potential threats. Stay safe online, folks! 🛡🔒
🔗 Read the full article
BleepingComputer
Mozilla fixes Firefox zero-day actively exploited in attacks
Mozilla has issued an emergency security update for the Firefox browser to address a critical use-after-free vulnerability that is currently exploited in attacks.
📌 Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30%
A global financial services provider reduced their Amazon EMR, EC2, and S3 costs by over 30% monthly by optimizing their setup on AWS. They migrated Apache Hadoop clusters to Amazon EMR on EC2 and collaborated with DevOps teams to implement cost-saving strategies. By enforcing auto-termination, optimizing scaling configurations, using Spot Instances, and fine-tuning Spark and HBase setups, they achieved significant cost reductions. A financial hackathon further helped identify and implement data-driven cost optimization strategies, leading to a 30% reduction in monthly costs over 3 months.
🔗 Read the full article
A global financial services provider reduced their Amazon EMR, EC2, and S3 costs by over 30% monthly by optimizing their setup on AWS. They migrated Apache Hadoop clusters to Amazon EMR on EC2 and collaborated with DevOps teams to implement cost-saving strategies. By enforcing auto-termination, optimizing scaling configurations, using Spot Instances, and fine-tuning Spark and HBase setups, they achieved significant cost reductions. A financial hackathon further helped identify and implement data-driven cost optimization strategies, leading to a 30% reduction in monthly costs over 3 months.
🔗 Read the full article
Amazon
Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30% | Amazon Web Services
In this post, we highlight key lessons learned while helping a global financial services provider migrate their Apache Hadoop clusters to AWS and best practices that helped reduce their Amazon EMR, Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Simple…
📌 The Ultimate Guide to Error Handling in Python
The article discusses Python error handling, comparing "Look Before You Leap" (LBYL) and "Easier to Ask Forgiveness than Permission" (EAFP) methods. EAFP, using exceptions, is often preferred. It categorizes errors as new or bubbled-up, and recoverable or non-recoverable, providing strategies for handling each type. The key takeaway is to handle errors appropriately based on their nature to write more effective error handling code in Python.
🔗 Read the full article
The article discusses Python error handling, comparing "Look Before You Leap" (LBYL) and "Easier to Ask Forgiveness than Permission" (EAFP) methods. EAFP, using exceptions, is often preferred. It categorizes errors as new or bubbled-up, and recoverable or non-recoverable, providing strategies for handling each type. The key takeaway is to handle errors appropriately based on their nature to write more effective error handling code in Python.
🔗 Read the full article
Miguelgrinberg
The Ultimate Guide to Error Handling in Python
I often come across developers who know the mechanics of Python error handling well, yet when I review their code I find it to be far from good. Exceptions in Python is one of those areas that have a…
📌 Devs gaining little (if anything) from AI coding assistants
The article discusses how developers might not be benefiting much from AI coding assistants. Despite the hype around these tools, developers may not see significant improvements in productivity or code quality. The Reddit post delves into the topic, sharing insights and opinions on whether AI coding assistants truly add value to developers' workflows. It's a reminder to carefully evaluate the actual impact of technology tools before fully embracing them in your coding process. Remember, not every trendy tool may bring the expected benefits!
🔗 Read the full article
The article discusses how developers might not be benefiting much from AI coding assistants. Despite the hype around these tools, developers may not see significant improvements in productivity or code quality. The Reddit post delves into the topic, sharing insights and opinions on whether AI coding assistants truly add value to developers' workflows. It's a reminder to carefully evaluate the actual impact of technology tools before fully embracing them in your coding process. Remember, not every trendy tool may bring the expected benefits!
🔗 Read the full article
Reddit
From the programming community on Reddit: Devs gaining little (if anything) from AI coding assistants
Explore this post and more from the programming community
📌 How GenAI will impact data engineering
GenAI is gaining popularity in data engineering, offering benefits like faster development and reduced maintenance. By using GenAI for tasks like code generation and quality checks, data engineers can focus on key business aspects. GenAI can also help in troubleshooting issues like false positives and out-of-memory errors, improving mental health and lowering maintenance costs. It's important for data engineers to embrace GenAI, stay updated on AI advancements, and consider learning new skills like building online systems or adopting more analytical roles. The future of data engineering involves leveraging AI tools like LLMs, exploring AI infrastructure, and adapting to changes in the field.
🔗 Read the full article
GenAI is gaining popularity in data engineering, offering benefits like faster development and reduced maintenance. By using GenAI for tasks like code generation and quality checks, data engineers can focus on key business aspects. GenAI can also help in troubleshooting issues like false positives and out-of-memory errors, improving mental health and lowering maintenance costs. It's important for data engineers to embrace GenAI, stay updated on AI advancements, and consider learning new skills like building online systems or adopting more analytical roles. The future of data engineering involves leveraging AI tools like LLMs, exploring AI infrastructure, and adapting to changes in the field.
🔗 Read the full article
blog.dataexpert.io
How GenAI will impact data engineering
GenAI is catching fire over the last two years.