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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Which Observability Tool Helps with Visibility Without Overspend

If you’re trying to control observability spend without cutting visibility, the platforms that usually offer the best cost balance at enterprise scale are Last9, Grafana Cloud, Elastic, and Chronosphere — depending on the shape of your telemetry and the level of operational ownership you want.

Your Guide To Inference Cost (And Turning It Into Margin Advantage)

AI adoption is exploding, but margins aren’t. In fact, an MIT analysis reports that 95% of organizations have yet to see measurable ROI from GenAI. This gap becomes obvious as soon as teams push a model into production and usage begins to scale. For most workloads, the pressure comes after training. Every message, call, query, completion, or retrieval triggers compute behind the scenes. That real-time execution is what AI inference is all about.

AWS Batch On EKS: Streamlining Containerized Workloads

Machine learning pipelines are getting heavier by the day. From model training to large-scale inference and data preprocessing, compute demands are scaling faster than teams can manage. Kubernetes clusters groan under unpredictable job spikes. Static infrastructure wastes money when workloads slow down. The result? Organizations are perpetually chasing flexibility, automation, and cost efficiency. AWS has quietly built a solution to establish that balance.

PagerDuty Becomes Newest AWS Software Partner to Earn Resilience Competency

As enterprise system failures cost businesses an estimated $400 billion annually in lost revenue and productivity, PagerDuty announced it has achieved the Amazon Web Services (AWS) Resilience Services Competency in the software category - becoming one of the first AWS Software Partners to earn the designation. This achievement validates PagerDuty's ability to help enterprises architect, deploy and maintain mission-critical systems that can withstand failures and recover rapidly with minimal business disruption.
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IT Ops vs DevOps: Same Goal, Different Mindset

The debate around IT Ops vs DevOps often creates confusion about whether these are competing approaches or complementary ones. While both aim to deliver reliable, efficient technology services, they approach this goal from fundamentally different perspectives. Understanding these differences helps organizations build stronger technology teams and choose the right operational model.

Automate infrastructure operations with Datadog Infrastructure Management

Many organizations struggle to track how their cloud infrastructure changes over time. Modern environments span tens of thousands of resources across hundreds of accounts and multiple clouds. Application teams add new services and regions at a rapid pace, increasing the number and variety of resources that need to be managed. These shifts can cause infrastructure configurations to drift from a well-architected state, increasing the risk of service reliability issues and unexpected cloud spend.