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With the enormous attack surface of cloud providers like AWS, Azure, and GCP, why aren't there more security problems? Data breaches and cyber attacks occur daily. How do you explain the unreasonable effectiveness of cloud security? Google has an ebook on their security approach; Microsoft has some web pages. Both are the equivalent of that person who is disgustingly healthy and you ask them how they do it and they say "I don't know.
Exploring use cases for the two tools. This episode of the O’Reilly Podcast, features a conversation on serverless and Kubernetes, with Kelsey Hightower , developer advocate for Google Cloud Platform at Google (and co-author of Kubernetes: Up and Running ), and Chris Gaun , Kubernetes product manager at Mesosphere. Discussion points: Hightower and Gaun agree that the biggest issue people face when deciding to start using Kubernetes is an underestimation of the learning curve.
In this article, we'll go through the major concepts of performance optimization catered towards web builder platforms so you can ensure your hand-built site loads fast.
The key to success in life is learning from your mistakes. The same can be said for web development. Error tracking is a vital component to any web project because it helps you pinpoint performance problems before they get out of hand. Let’s take a look at some of the best error monitoring tools and strategies for 2018. What is Error Tracking?
Wake up! It's HighScalability time: A swarm of 300 autonomous burner drones take flight like sparkle from a fairy godmother's wand. ( mnn ). Do you like this sort of Stuff? Please lend me your support on Patreon. It would mean a great deal to me. And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10.
These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and g
A few months ago I wrote a blog post on How to Capture Per Process Metrics in PMM. Since that time, Nick Cabatoff has made a lot of improvements to Process Exporter and I’ve improved the Grafana Dashboard to match. I will not go through installation instructions, they are well covered in original blog post. This post covers features available in release 0.4.0 Here are a few new features you might find of interest: Used Memory.
Chrome Extensions have been around for a long time. I believe they are a very under-explored technology - and if you’re a traditional web developer, there’s a very small learning curve since Chrome Extensions are comprised of HTML, JavaScript and CSS. Bonus - you don’t have to worry about every browser under the sun, just Chrome! (though Firefox is becoming extension-friendly, it might be a good idea to not include Chrome-only web features).
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Chrome Extensions have been around for a long time. I believe they are a very under-explored technology - and if you’re a traditional web developer, there’s a very small learning curve since Chrome Extensions are comprised of HTML, JavaScript and CSS. Bonus - you don’t have to worry about every browser under the sun, just Chrome! (though Firefox is becoming extension-friendly, it might be a good idea to not include Chrome-only web features).
Who's Hiring? Twitch's commerce team in San Francisco is looking to hire senior developers to keep up with rapidly increasing demand for our Subscriptions and Payment platform. Engineers will be tasked with building new products and features to solve business and ecommerce challenges as we're dealing with engaging problems at a massive scale and will create solutions that impact millions of people around the world.
Cryptocurrencies have had a lot of ups and downs. A lot of questions have been asked about whether they’re actually viable or not. These conversations have been focused on the technical problems such as slow transactions, preventing the 51% attack, bugs in smart contracts, etc. Yet, solving technical problems won’t have as much of an effect as other factors.
These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and g
Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. Processes running on the two Logical Processors share most of the processor resources (particularly caches and execution units).
I’ve been slowly trying to cut down on my online file storage footprint by switching to software and tools that I’m in full control over. For example, I was once a very heavy user of Dropbox and similar tools when it came to transferring files around between my computers, but that could leave my files exposed in the cloud, not to mention it was slow due to the time it took to communicate with the remote server.
Cryptocurrencies have had a lot of ups and downs. A lot of questions have been asked about whether they’re actually viable or not. These conversations have been focused on the technical problems such as slow transactions, preventing the 51% attack, bugs in smart contracts, etc. Yet, solving technical problems won’t have as much of an effect as other factors.
Creating a HCI benchmark to simulate multi-tennent workloads. HCI deployments are typically multi-tennant and often different nodes will support different types of workloads. It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement.
Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. Processes running on the two Logical Processors share most of the processor resources (particularly caches and execution units).
Recently one of my developers came to and complained of slow performance on a particular query. During the investigation I noticed that the primary cause was the poor query execution plan. In this article, I will discuss the approach which I used to improve the execution plan. For demonstration purpose, I will be creating a […].
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