Operations | Monitoring | ITSM | DevOps | Cloud

Your app is deployed. Users are signing in. Traffic is flowing. Everything is live. Congratulations, give yourself a pat on the back. Okay that's enough. Now it’s time to get back to work because you’ve officially entered the phase where production starts revealing all the decisions you made three months ago, unsure how it would affect you today. Because deploying an app is one half of the job. And, production environments have a way of exposing: This is where operations begin.

When we shipped TV mode, we heard almost immediately: “Great, but I have five dashboards and one screen.” A single dashboard on a wall display covers one view of your infrastructure. If you want to rotate between your network overview, database health, application metrics, and infrastructure summary, someone has to walk over and click, or you’re buying more screens. Dashboard playlists solve this.

Claude on AWS now has two paths: Bedrock and the new Claude Platform. Compare pricing, billing mechanics, features, and cost visibility across both.

Claude API pricing per million tokens: Haiku 4.5 at $1/$5, Sonnet 4.6 at $3/$15, Opus 4.7 at $5/$25. Plus caching, batch discounts, and how to optimize API spend at scale.

The best ADO.NET tools for SQLite should preserve the speed that makes SQLite worth using in the first place. Recent benchmarks show it completing 100,000 sequential reads in 272 milliseconds, nearly 5x faster than MySQL on the same hardware, because there’s zero network overhead between your app and the database. A slow or poorly matched provider wipes out that advantage. Queries drag, operations behave unpredictably under concurrency, and simple data access turns into a scaling problem.

The time has come to announce the release of dbForge 2026.1, a grand update that brings a variety of new features and long-anticipated enhancements to the entire dbForge ecosystem. As usual, the update will cover all database systems that dbForge is compatible with, but this time, there will be a special focus on PostgreSQL and related databases and cloud services, whose users will be witnessing a major step forward, with multiple new features, options, and whatnot.

This blog is based on the webinar, “Panel Discussion: Understanding the importance of GPUs for AI success”. You can watch the full recording by clicking here! Cheap GPUs don't kill AI startups. Cheap thinking about GPUs does. In 2026, the teams burning through runway fastest aren't the ones who can't afford compute; they're the ones measuring the wrong thing and scaling the wrong way.

Compare LLM API pricing across OpenAI, Anthropic, Google, DeepSeek, and Mistral in 2026. Full pricing tables, hidden cost breakdowns, and proven strategies to cut AI spend. Written for engineering leads, platform teams, and FinOps practitioners evaluating or optimizing production AI costs.

Grafana Cloud pricing starts free and scales by metrics, logs, and traces. Compare all tiers, real-world costs, managed options, and ways to optimize. Written for DevOps engineers, SREs, platform teams, and FinOps practitioners managing observability spend.

Together AI pricing ranges from $0.10 to $9.00 per million tokens. Compare all models, GPU rates, free tier details, and practical cost optimization strategies. Written for engineering leads, platform teams, and FinOps practitioners evaluating open-source inference providers.