Neaj Morshad

New to KubeDB? Please start here . Chaos Testing KubeDB Managed SQL Server Availability Group Clusters with Chaos-Mesh Setup Cluster To follow along with this tutorial, you will need: A running Kubernetes cluster. KubeDB installed in your cluster. kubectl command-line tool configured to communicate with your cluster. Chaos-Mesh installed in your cluster. helm upgrade -i chaos-mesh chaos-mesh/chaos-mesh \ -n chaos-mesh \ --create-namespace \ --set dashboard.create=true \ --set dashboard.securityMode=false \ --set chaosDaemon.

autoscaler cassandra clickhouse cloud-native database druid kafka kubedb kubernetes memcached mongodb mssqlserver operators postgres postgresql rabbitmq redis scaling

By Neaj Morshad

27-Apr-2026

Scaling KubeDB: Announcing Autoscaler Sharding Support

Sharding KubeDB Autoscaler (Introduced in 2026.4.27) Use Case As Kubernetes clusters grow to accommodate thousands of database instances, managing their resources efficiently becomes a critical challenge. In our previous blog, we discussed Provisioner Operator Sharding , which distributes database provisioning tasks across multiple controller instances. Today, we are excited to introduce Autoscaler Sharding using the Operator Shard Manager. Designed using the Consistent Hashing with bounded loads algorithm, this feature allows you to horizontally scale the KubeDB Autoscaler operator to efficiently distribute the continuous reconciliation and recommendation workloads among multiple controller pods.

ai appscode cloud-native databases dbaas gcp gke kubedb kubernetes

By Neaj Morshad

15-May-2025

Future-Proof Your Data Strategy - Why Kubernetes is the Engine Behind Stateful Workloads & Modern AI

Why do Enterprises Choose Kubernetes for Stateful Apps? In today’s rapidly evolving tech landscape, managing stateful applications—databases, caches, queues—at scale, efficiently is a top priority for enterprises. At Google Cloud Next 25, titled “Data on Kubernetes: Run stateful apps and AI workloads on GKE”, highlighted the growing adoption of Kubernetes for databases, AI, and machine learning (ML) workloads, showcasing its cost-efficiency, scalability, and performance benefits. Drawing from insights shared in that session, this blog explores why Kubernetes—paired with solutions like KubeDB from AppsCode—is the ideal platform for running stateful applications and future-proofing AI workloads.

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Neaj Morshad

Building Resilient SQL Server Availability Group Clusters on KubeDB with Chaos Mesh

Scaling KubeDB: Announcing Autoscaler Sharding Support

Future-Proof Your Data Strategy - Why Kubernetes is the Engine Behind Stateful Workloads & Modern AI

Building Resilient SQL Server Availability Group Clusters on KubeDB with Chaos Mesh

Scaling KubeDB: Announcing Autoscaler Sharding Support

Future-Proof Your Data Strategy - Why Kubernetes is the Engine Behind Stateful Workloads & Modern AI

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