SBS

Agenda: What is Moore's Voting Algorithm? Analogy Logic Why it works? Code

 Agenda: Introduction What is Denormalization? Benefits When to use? Read-Heavy Systems Reporting and Analytics Real time data Requirements Denormalization Techniques Materialized Views Redundant Columns Aggregated Tables Challenges and Consideration Conclusion

 Agenda: Understanding Federation Federation in precise and simple possible terms with good example Advantages of Federation Disadvantages of federation The Essence of Sharding Disadvantages of Sharding Federation vs Sharding Key Differences Choosing the Right Path In the dynamic landscape of data management, the quest for efficient and scalable database solutions is perpetual. Two prominent strategies that often stand out in this pursuit are Federation and Sharding. Both approaches address the challenges of handling large volumes of data and maintaining optimal performance, yet they differ significantly in their implementations and implications. In this blog post, we'll delve into the intricacies of Federation and Sharding, exploring their strengths, weaknesses, and applications. [1] Understanding Federation Federation (or functional partitioning) splits up databases by function. Federation is like having separate but independent databases, each responsible for specific types of d...

Agenda: Introduction What is Consistent Hashing? Why it is needed? How Consistent Hashing Works Hash Ring Hash Function Data Retrieval Advantages of Consistent Hashing Real-World Applications Challenges and Considerations Conclusion

# Agenda: COMMAND TO UNINSTALL EXISTING NBUKOPS Installation Steps: STEP-1: Get Packages STEP-2: Extract Package & create NS for nbukops installation. STEP-3: Create a secret under the above ns. This secret would be used for pulling Docker Images. STEP-4: Load DM image to local cache & upload it to repo. STEP-5: Update values.yaml file. STEP-6: Create NetBackup API KEY STEP-7: Create a secret in k8s namespace  STEP-8: Run helm install  STEP-9: Check status of Deployment STEP-10: Trigger Reinstall (Optional - For failed case) Validate Installation #  COMMAND TO UNINSTALL EXISTING NBUKOPS: ---     helm uninstall veritas-netbackupkops -n <ns>     k delete ns <ns>     E.g:     helm uninstall veritas-netbackupkops -n shakti-nbukops-ns     k delete ns shakti-nbukops-ns   1) STEP-1: Get Packages. --- Download following two packages from support.veritas.com ➢ NetBackup Kubernetes operator package (net...

Agenda: Attach new HDD Clone Rook Github Repo Install ROOK  Configure the Storage Class Configure Volume Snapshot class Validate Snapshot Creation      1) Attach new HDD  - 10GB (or As per your need). 2) Clone Rook Github Repo     A) mkdir /root/ROOK     B) cd /root/ROOK     # (SKIP the OLD) -> git clone --single-branch --branch release-1.5  https://github. com/rook/rook.git     C) # USE LATEST ->     $ git clone --single-branch --branch v1.12.4  https://github.com/ rook/rook.git   3) Install ROOK      A) cd /root/ROOK/rook/deploy/ examples     B) # BEFORE RUNNING FOLLOWING COMMAND, Update operator.yaml: CSI_PROVISIONER_REPLICAS: "1" -> (Default is 2, change it to 1).     C) kubectl create -f crds.yaml -f common.yaml -f operator.yaml      D) kubectl create -f cluster-test.yaml     E) # Run following command to validate installatio...

# Agenda: Overview Common inputs in a requests-per-second (RPS) calculation Example of RPS / QPS calculation Techniques to simplify the calculations Handy conversion Table Capacity or Storage Planning Conclusion # Overview: Back-of-the-envelope math is a very  useful tool in our system design toolbox. In this article, we will go over how and when to use  it, and share some tips on using it effectively. Let’s dive right in. Experienced developers use back-of-the-envelope  math to quickly sanity-check a design. In these cases, absolute accuracy is not that important . Usually, it is good enough to get  within an order of magnitude or two of the actual numbers we are looking for. For example, if the math says at our scale our web  service needs to handle 1M requests per second, and each web server could only handle about 10K  requests per second, we learn two things quickly:     1) W e learn that we will need to cluster of web  servers, with a l...