Zero-to-Hero: Running Postgres in Kubernetes

6. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.6 WHY • Business: Kubernetes is a system for deploying applications that can save money because it takes less IT manpower to manage and helps more efficiently utilize the infrastructure. It helps make your apps a more portable, so you can move them more easily between different clouds and internal environments or laptop to laptop. • Tech: Agility in development, deployment, and operations

9. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.9 MASTER • DOC: The Kubernetes Master is a collection of three processes that run on a single node in your cluster, which is designated as the master node. Those processes are: kube-apiserver, kube- controller-manager and kube-scheduler.The Kubernetes master is responsible for maintaining the desired state for your cluster. • Taylor: I would call it the brains / command and control. I would think of it like vCenter coming from that world.

11. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.11 NAMESPACE • Doc: Namespaces are a way to divide cluster resources between multiple users. Namespace provide a scope for names. Names of resources need to be unique within a namespace, but not across namespaces. Namespaces can not be nested inside one another and each Kubernetes resource can only be in one namespace. • Taylor: It’s a good way not to blow everything up ASAP.

12. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.12 NAMESPACE COMMANDS helm install edb-2.4.2.tgz -f myvalues.yaml –namespace anotherfailwhale Kubectl create namespace anotherfailwhale

13. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.13 NODES • Doc: A node is a worker machine in Kubernetes, previously known as a minion. A node may be a VM or physical machine, depending on the cluster. Each node contains the services necessary to run pods and is managed by the master components. The services on a node include the container runtime, kubelet and kube-proxy • Taylor: The physical server or virtual machine running all the magic.

14. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.14 NODE COMMANDS CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.14 NODE COMMANDS Kubectl get nodes

15. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.15 POD • Doc: A Pod is the basic execution unit of a Kubernetes application–the smallest and simplest unit in the Kubernetes object model that you create or deploy. A Pod represents processes running on your Cluster. • Taylor: Because they share a local host with all containers in pod I think of it like docker- compose on your laptop.

18. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.18 SERVICE • Doc: a Service is an abstraction which defines a logical set of Pods and a policy by which to access them. The set of Pods targeted by a Service is usually determined by a selector. • Taylor: what the doc said….

19. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.19 PV/PVC • Doc: A PersistentVolume (PV) is a piece of storage in the cluster that has been provisioned by an administrator or dynamically provisioned using Storage Classes. A PersistentVolumeClaim (PVC) is a request for storage by a user. It is similar to a pod. Pods consume node resources and PVCs consume PV resources. • Taylor: LUN and VMDK

21. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.21 DEPLOYMENT / REPLICASET • A Deployment controller provides declarative updates for Pods and ReplicaSets. • A ReplicaSet’s purpose is to maintain a stable set of replica Pods running at any given time. As such, it is often used to guarantee the availability of a specified number of identical Pods. • Taylor:

22. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.22 STATEFULSET • Doc: StatefulSet is the workload API object used to manage stateful applications. Manages the deployment and scaling of a set of Pods , and provides guarantees about the ordering and uniqueness of these Pods. • Taylor: Where you run a database. Stable, unique network identifiers. $(statefulset name)-$(ordinal) Stable, persistent storage. Ordered, graceful deployment and scaling. Ordered, automated rolling updates.

25. © Copyright EnterpriseDB Corporation, 2019. All rights reserved. metrics 25 HA REFERENCE ARCHITECTURE Postgres HA Agent Proxy Mon Agent Data Application EDB-Service Postgres HA Agent Mon Agent Data Postgres HA Agent DR Tool Proxy Mon Agent Data Admin Tool read/write readread redundant streaming replication streaming replication Shared or Local Storage Database, Tools, Agents Containers Pods Application Application Master Standby 2Standby 1 Proxy Postgres cluster with application scale-out Backup

26. © Copyright EnterpriseDB Corporation, 2019. All rights reserved. metrics 26 On-Prem In-Memory Compute Nodes Postgres HA Agent Proxy Mon Agent EDB-Service Postgres HA Agent Mon AgentPostgres HA Agent DR Tool Proxy Mon Agent Admin Tool read/write readread redundant streaming replication Database, Tools, Agents Containers Pods Master Standby 2Standby 1 Proxy NODE POOL DB PREFORMANCE NODE 2 NODE 3 Volume Claim Volume Claim Volume Claim Data Data DataBackup Nodes ApplicationApplication Application streaming replication 17k TPS PgBench

32. CONFIDENTIAL © Copyright EnterpriseDB Corporation, 2019. All rights reserved.32 MONITORING THOUGHTS Old way Utilization (U): The percentage of time a resource is in use. Saturation (S): The amount of work the resource must (the “queue” of work). Errors (E): A count of errors. RED methodology Rate (R): The number of requests per second. Errors (E): The number of failed requests. Duration (D): The amount of time to process a request. RED is actually derived from The Four Golden Signals Latency: The time it takes to service a request. Traffic: A measure of how much demand on the system. Errors: The rate of failed requests. Saturation: A measure of how “full” a service is, often measured by latency. OOM KILLER

Zero-to-Hero: Running Postgres in Kubernetes

Zero-to-Hero: Running Postgres in Kubernetes

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Zero-to-Hero: Running Postgres in Kubernetes