Operations | Monitoring | ITSM | DevOps | Cloud

The Hidden Cost of "Modernization": When Upgrades Become Extortion

Across the IT and observability landscape, enterprise leaders are facing a troubling pattern. A trusted vendor announces a “modernization initiative,” often following a major acquisition or a shift in ownership. Overnight, pricing structures change, license models disappear, and long-time customers are pressured into multi-year bundles under the banner of innovation. What’s being framed as progress often feels more like pressure.

Automating your synthetic test infrastructure with Datadog Synthetic Monitoring and Terraform

Testing ecosystems contain massive amounts of data, including outlined test scenarios, prerequisite configurations, and the tests themselves. As a result, these ecosystems are prone to data sprawl. This makes it difficult to prevent configuration drift and quickly spin up new tests, especially at the frequency needed to support a fast-growing application. Teams can handle these challenges by treating their tests as part of their application infrastructure.

Store and search logs at petabyte scale in your own infrastructure with Datadog CloudPrem

As AI workloads and cloud-native applications expand, organizations are generating more log data than ever. Each service, container, and model inference produces continuous telemetry that must be stored, secured, and analyzed. As telemetry grows more complex, teams must balance full visibility with new retention and residency needs.

Create a PostgreSQL Database in 60s

Learn how to set up a PostgreSQL service on Aiven in just one minute. This demo walks you through accessing your account, configuring your new service, and selecting the right options for your needs. We’ll cover selecting an immutable service name, picking the cloud provider and plan, and show how Aiven’s clear deployment feedback makes creating a scalable database fast and straightforward. Get your PostgreSQL database up and running quickly, so you can focus on building your applications.

AWS Fargate Alternatives: Comparing Serverless Container Options

Imagine you have an API service composed of multiple microservices. Traffic fluctuates — sometimes light, sometimes spiking. Without Fargate, you’d have to manage EC2 instances, autoscaling, patching, and more. With Fargate, you define each microservice as a task, setting the CPU/memory, container image, network rules, and AWS schedules, and then run them as needed. The result: faster deployment, lower ops overhead, and smooth scaling.