Posts

Auditing in Kubernetes

Image
  As Kubernetes clusters runs different resources at desired scale. We need to have full control over the cluster with all lifecycle of events and audits which helps us to trace out the source. Also, it would be great to get notified when something abnormal happens in the cluster. Now let's look at the details we need from api-server when an event occurs. When to log? What to log? Stages in lifecyle of request in api-server: RequestReceived : This is when api-server received the request but request is not processed yet by the api-server. ResponseStarted : The response headers are sent out but the response body isn't sent out. This stage only occurs for long running requests like watch. ResponseComplete : The response is sent out and the request is completed. Panic : When ever a panic occurs while processing the request. Request flow in the api-server: Levels in logging the audits: None : don't log the requests. Metadata : Only metadata. (i.e. requesting user, timestamp, res...

Deja Vu !!

  You walk into a room, and you suddenly feel like you’ve been there before — even though you know you haven’t. The feeling is overwhelming, then it disappears just as quickly as it came on. The eerie feeling that you’ve been here and done this before is called déjà vu. It’s French for “already seen,” and it can be a very strange and even unsettling experience. Logically, you know you haven’t experienced this moment before, but your brain is telling you otherwise. Déjà vu is a common experience — about two-thirds of people have had it. But it’s still widely misunderstood. The reason simply is it’s hard to study in a laboratory, so our understanding is limited. There are a few theories, though, about what might lead to this “glitch” in the brain. A healthy brain can experience déjà vu. This doesn’t necessarily mean you should raise the alarms. The sensation is more likely to happen to people who travel often and have college or advanced degrees. And it can peak in young adulthood, b...

THE PRACTICAL USE OF MACHINE LEARNING IN TECH-COMPANIES !!

Image
  What is machine learning? The meaning of machine learning is learning from data. People often consider Machine learning as Artificial Intelligence, but it is not valid. ML is a part of Artificial Intelligence that learns from the data and provides the results based on the analysis. You can solve many problems by using these results. The Data is provided to the right learning algorithms which in turn give results suitable for the users. Here are a few examples of machine learning use in tech companies. 1. SWIGGY   To classify products as Veg/Non-Veg/Egg; For Understanding Preference of users and display restaurants. 2. Instagram / Facebook / Twitter   To Identify Bullying/Harassment in comments/posts. To Recommend Posts and Reels & Fake-News Detection.   3. Uber    Predict time and area of demand. Analyze user behave to offer discounts. 4. Spotify  It Suggests u songs based on ur recent searches and adds up to weekly recom...

30 Days of Google Cloud

Image
  What is 30 Days of Google Cloud?        30 Days of Google Cloud program will provide you an opportunity to kickstart your career in the cloud and get hands-on practice on Google Cloud - the tool that powers apps like Google Search, Gmail, and YouTube. Along the way, you will learn & practice concepts like computing, application development, big data & machine learning using the cloud & if you get stuck, you will have your "Campus Facilitators" who are specially trained on Google Cloud to help.  I Completed My Program in both tracks. Track 1 was about Cloud Engineering, it was an easy to moderate level task. The best part of the track was it introduces you to the real-world application of the cloud in our daily life. Track 2 was about Data Science and Machine Learning. It allows you to perform some foundational data, ML, AI in Google Cloud. I had a good time learning about ML and also had the opportunity to use amazing applications like P...

My First Post

  Hello Everyone My Name is Rohit, Currently a first-year student at SRM University as of now. The Main Purpose of this website is to share my experiences in daily life with various activities like watching movies, anime, web series, and my personal projects in the domain of machine learning and Web Development. I'm a beginner in the field of Competitive Programming, also  A 3-star coder at CodeChef. So I will be sharing all tips and tricks which I used to solve a problem after every context. My Interests Include;- 1. Deep Learning 2. Web Development  3. Competitive Programming  4. Food 5. Badminton Your Feedback values the most for the improvement of my blog  feel free to mail at sallarohit10@gmail.com or comment below.