AWS Auto Scaling
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
Learn more
Percona Kubernetes Operator
The Percona Kubernetes Operator for Percona XtraDB Cluster or Percona Server for MongoDB automates the creation, alteration, or deletion of members in your Percona XtraDB Cluster or Percona Server for MongoDB environment. It can be used to instantiate a new Percona XtraDB Cluster or Percona Server for MongoDB replica set, or to scale an existing environment. The Operator contains all necessary Kubernetes settings to provide a proper and consistent Percona XtraDB Cluster or Percona Server for MongoDB instance.
The Percona Kubernetes Operators are based on best practices for configuration and setup of a Percona XtraDB Cluster or Percona Server for MongoDB replica set. The benefits of the Operator are many but saving time and delivering a consistent and vetted environment is key.
Learn more
DanubeData
DanubeData is a next-generation managed services platform for European cloud infrastructure, bringing compute, databases, caches, storage, and apps into one unified namespace. It is built to put your data on the right course, deploy AMD Zen4-powered VPS instances, managed PostgreSQL, MySQL, and MariaDB databases, Redis-compatible caches, S3-compatible object storage, and Rapids serverless containers from one dashboard. Everything runs in the same German datacenter, so services communicate with zero-latency internal networking, no cross-region hops, and simpler architecture. Virtual machines provision in under 45 seconds with AMD EPYC Zen 4 cores, NVMe Gen4 storage, DDR5 memory, full root access, cloud-init compatibility, SSH keys, DDoS protection, and real-time resource graphs. Managed databases are production-ready with automated backups, point-in-time recovery, read replicas, automatic failover, SSL/TLS encryption by default, performance insights, and more.
Learn more
Azure Cache for Redis
As traffic and demands on your app increase, scale performance simply and cost-effectively. Add a quick caching layer to the application architecture to handle thousands of simultaneous users with near-instant speed—all with the benefits of a fully managed service. Superior throughput and performance to handle millions of requests per second with sub-millisecond latency. Fully managed service with automatic patching, updates, scaling, and provisioning so you can focus on development. RedisBloom, RediSearch, and RedisTimeSeries module integration, supporting data analysis, search, and streaming. Powerful capabilities including clustering, built-in replication, Redis on Flash, and availability of up to 99.99 percent. Complement database services like Azure SQL Database and Azure Cosmos DB by enabling your data tier to scale throughput at a lower cost than through expanded database instances.
Learn more