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Plan Your Multi Cloud Strategy

Scalegrid

Thinking about going multi-cloud? A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in.

Strategy 130
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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

While Kubernetes is often considered the operating system of the cloud, the scale and complexity of Kubernetes cluster deployments are creating new challenges for IT teams. You can ask for the best configuration to reduce latency or improve the user experience.” Engineering teams are overwhelmed with stuff to do.”

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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

During a joint webinar , Henrik Rexed (Cloud Native Advocate, Dynatrace) joined us to talk about the Kubernetes challenges and how to leverage Dynatrace observability and Akamas AI-powered optimization to address them. Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach.

Latency 200
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Comparing PostgreSQL DigitalOcean Performance & Pricing – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

DigitalOcean is a cost-effective cloud provider that caters to, and is widely adopted by the developer community. Along with many popular cloud providers, DigitalOcean also provides a Managed Databases service. Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. Compare Pricing. Throughput.

Database 230
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage. The Serverless Process.

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Automated observability, security, and reliability at scale

Dynatrace

This is especially crucial in microservice architectures, where the number of components can be overwhelming. Stay tuned for more examples and easy-to-adopt automations provided in our public Github project. Furthermore, increasing the frequency of releases requires additional product lifecycle automation and setup.

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PostgreSQL Connection Pooling: Part 1 – Pros & Cons

Scalegrid

Moving to a multithreaded architecture will require extensive rewrites. But that causes a problem with PostgreSQL’s architecture – forking a process becomes expensive when transactions are very short, as the common wisdom dictates they should be. The PostgreSQL Architecture | Source. The Connection Pool Architecture.