Cloud Datalytics

🪔 **Happy Diwali!** 🪔 Wishing you a Diwali filled with light, joy, and prosperity. May this festival bring new beginnings, endless happiness, and success into your life. Shine bright and celebrate with love and laughter! ✨ Happy Diwali to you and your loved ones! ✨

✨ Cloud Datalytics wishing everyone a joyous and blessed Navratri! ✨ May these nine nights of devotion and celebration fill your life with happiness, prosperity, and good health. Let's come together to honor Goddess Durga and embrace the divine energy of this festive season. 🏵️🌸 #HappyNavratri #MaaDurgaBlessings #FestiveVibes #Navratri2024 #CelebrateWithJoy #CloudDatalytics #Cloud #data #analytics

Databricks has announced the general availability of row and column-level security within its Unity Catalog, marking a significant enhancement to its data governance capabilities. This feature allows administrators to apply fine-grained access controls, ensuring that only authorized users can view specific data. By implementing dynamic views, organizations can now filter rows based on user roles or restrict access to sensitive columns by masking them. The solution targets industries such as healthcare, finance, and others handling confidential information, where compliance with privacy regulations like HIPAA and GDPR is critical. Unity Catalog's security measures simplify the process of managing permissions for large datasets by integrating seamlessly with existing identity and access management (IAM) systems. Additionally, the new capabilities are designed to work with existing Databricks features, making it easier for organizations to protect sensitive information without needing to restructure their data. Databricks envisions that these granular controls will help companies maintain trust with stakeholders while facilitating a secure environment for data collaboration across different teams and regions. Databricks' Unity Catalog now supports row and column-level security, enabling granular control over data access. These controls help organizations filter and mask data based on user roles, ensuring better compliance with privacy laws and improving security without sacrificing ease of use. Full article : https://buff.ly/3TNpjHr #Databricks #UnityCatalog #DataSecurity #DataGovernance #DataPrivacy #AccessControl #RowLevelSecurity #ColumnLevelSecurity #DataCompliance #CloudDataManagement #cloud #clouddatalytix #data #analytics

Happy Labor Day! Today we celebrate the hard work and dedication of every individual who contributes to making our world better. Enjoy the day off—you’ve earned it! #LaborDay #HardWork #CelebrateWorkers #WorkHardPlayHard #LaborDayWeekend #HonoringWorkers #EndOfSummer #CloudDatalytics #Cloud #data #analytics

CloudDatalytics wishing you a joyful Janmashtami filled with divine blessings and boundless happiness! #HappyJanmashtami #Janmashtami2024 #KrishnaJanmashtami #CelebrateKrishna #DivineJanmashtami #CloudDatalytics #Cloud #data #analytics

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐬? Kubernetes is an open-source 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 designed to automate the deployment, scaling, and management of containerized applications. It provides a framework for deploying, managing, and scaling applications across clusters of hosts. 𝐀𝐏𝐈 𝐒𝐞𝐫𝐯𝐞𝐫 : The Kubernetes API Server acts as the frontend for the Kubernetes control plane. It exposes the Kubernetes API, which is used by internal components and external tools to communicate with the cluster. It validates and processes REST requests, and then updates the corresponding objects in etcd. 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞𝐫: The Scheduler in Kubernetes is responsible for placing newly created pods onto nodes in the cluster. It takes into account various factors like resource requirements, hardware/software constraints, affinity, anti-affinity, and other policies to make optimal scheduling decisions. 𝐞𝐭𝐜𝐝:  etcd is a distributed key-value store used by Kubernetes to store all of its cluster data. This includes configuration data, state information, and metadata about the cluster's objects. etcd ensures consistency and helps maintain the desired state of the cluster. 𝐊𝐮𝐛𝐞𝐥𝐞𝐭: Kubelet is an agent that runs on each node in the Kubernetes cluster. It is responsible for ensuring that containers are running in a pod. Kubelet communicates with the Kubernetes API Server and manages the pods and their containers on the node. 𝐊𝐮𝐛𝐞-𝐩𝐫𝐨𝐱𝐲: Kube-proxy is a network proxy that runs on each node in the cluster. It maintains network rules on nodes, which allows communication between different pods and services within the cluster and from external clients to services within the cluster. 𝐏𝐨𝐝𝐬:  Pods are the smallest deployable units in Kubernetes and represent a single instance of an application. They can contain one or more containers that share storage and network resources and are scheduled and deployed together on the same host. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫:  A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably across different computing environments. Containers are managed by container runtimes like Docker or containerd within Kubernetes. #kubernetes, #DevOps, #K8s, #K8s_architecture

May your 4th of July be filled with joy and celebration! Happy Independence Day! #IndependenceDay #FourthOfJuly #July4th #RedWhiteAndBlue #Fireworks #America #StarsAndStripes #LandOfTheFree #Patriotic #Freedom #CloudDatalytics #Cloud #datalytics

On this special occasion, Cloud datalytics sends heartfelt greetings to all fathers. #CloudDatalytics, #FathersDay'

AWS Migration Strategy Guide!!