Operations | Monitoring | ITSM | DevOps | Cloud

AI Merge Conflict Resolution + Commit Messages in GitKraken Desktop

AI-assisted merge conflict resolution is changing how developers handle Git workflows. Watch GitKraken Ambassador Kevin Bost demonstrate AI-powered features that eliminate merge conflict dread, clean up messy commit history, and generate contextual commit messages in seconds.

Captur: Observability-First Mobile ML Inference for Better Customer Confidence

Captur builds a mobile SDK that brings real-time image recognition and actionable feedback directly into customers’ apps, running complex machine learning models entirely on device without cloud inference. This architecture delivers privacy and performance, but also creates unique challenges when it comes to observability and debugging, especially as crashes can originate from the host app rather than the SDK itself.

The Now, New and Next in Data Center Infrastructure Management

Bill has built something truly special. For nearly a decade, this has been the place where data center leaders move beyond the basics and tackle real challenges: driving adoption, demonstrating ROI, navigating organizational change, and turning infrastructure data into strategic advantage. Following in his footsteps is both an honor and a responsibility I don’t take lightly. What we’ll cover in this Edition: This isn’t a product demo.

Smarter, Greener Data Centers Start Here: Why Spring Is the Best Time to Upgrade with Hyperview

Spring is the perfect season to rethink how you manage your data center. Many operators struggle with outdated tools that slow down capacity planning and energy use optimization. Hyperview’s AI-powered, cloud-based data center infrastructure management (DCIM) offers clear real-time insights and agentless asset discovery to cut costs and carbon footprints.

Taming the Broker Network: Achieving Reliable Apache ActiveMQ Operations

Broker networks grow from success but often become fragile webs. A global retailer's journey from Apache ActiveMQ chaos to reliable operations shows how unified visibility, automation, and governed self-service transform messaging from liability to strategic asset.

A New Scale Tier for Amazon Timestream for InfluxDB

InfluxDB 3 on Amazon Timestream for InfluxDB now scales to 15-node clusters, unlocking higher ingestion, greater query concurrency, and real-time performance at scale. In this video, PM Pete Barnett breaks down what this means for high-resolution, high-velocity workloads, and how you can scale from Core to Enterprise with zero downtime or data migration.

Cost Optimization in Action: How We Cut Amazon SQS Costs by 87%

JC, the Director of Software Engineering, Cloud at LogicMonitor, shares how Cost Optimization enabled his team to shift to Cost-Intelligent Observability and tackle an unexpected and growing cloud bill. As engineers, we live and breathe performance. We obsess over latency, reliability, and uptime, the hallmarks of a healthy system. But there’s another metric that’s becoming just as critical: cost.

Monitor your application and network load balancer logs

Load balancers are the primary entry points to distributed applications. By strategically directing the flow of incoming web traffic to specific endpoints, load balancers help optimize throughput and ensure the horizontal scalability of applications. In modern systems, load balancers often do more than their name suggests: Beyond basic load distribution, they analyze requests and route traffic based on a wide range of variables, such as client identity.