The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
The second decade of the 21st century witnessed an unprecedented paradigm shift in the educational sphere. With the onset of the pandemic, conventional ideas of an educational institution gave way to a far modernized and on-the-go approach. Joining class and listening to teachers’ lectures on Zoom or through Microsoft Teams is now the new norm.
Are you just getting started with Cribl Stream? Or maybe you’re well on your way to becoming a certified admin through our Cribl Certified Observability Engineer certification offered by Cribl University. Regardless, using Cribl Stream to send data from one source to many destinations is something you’ll want to try. So if you’re ready, read on!
Trust is everything. It is the glue that builds the lasting relationship between you and your customers, and it depends on a variety of factors like customer service, product quality, and user experience. A large part of your customer’s experience is from their interaction with your website. So, if your website is not meeting their expectations, you can lose them as customers.
2022 saw a return to normalcy on the Covid front as offices re-opened, people gathered in large groups indoors again and mask mandates waned, even as Covid never really went away. Meanwhile, inflation raged through the summer months before subsiding somewhat later in the year and the Great Resignation gave way to mass layoffs, especially in the tech industry.
Brick by brick, block by block—if you’ve been with us throughout our Author’s Cut blog series (and if you haven’t, you can go catch up), you’ve seen us build the case for observability from the ground up. We’ve covered structured events, the core analysis loop, and use cases for managing applications in production—and that’s just to start.
This article was originally published in The New Stack and is reposted here with permission. Arrow makes analytics workloads more efficient for modern CPU and GPU hardware, which makes working with large data sets easier and less costly. One of the biggest challenges of working with big data is the performance overhead involved with moving data between different tools and systems as part of your data processing pipeline.
Check our December 2022 health report on the top most popular cloud providers. We analyze the health of the cloud providers based on the number of outages and problems during the month. The source of the data is made available by the cloud providers themselves via their status page. We normalize it and use it to generate the report.
