Operations | Monitoring | ITSM | DevOps | Cloud

SolarWinds Observability 2025.1: Big Cloud Updates for GCP, AWS & Azure!

New cloud support has landed in SolarWinds Observability 2025.1! Now with expanded monitoring for Google Cloud, AWS, and Azure, you can track even more cloud entities with ease. What’s new? Google Cloud – Now supports Google Compute Engine Azure – New support for Azure App Service & Blob Storage AWS – Expanded RDS support (MySQL, Aurora, PostgreSQL, Oracle) + Load Balancer monitoring See it in action! We explore the latest dashboards and drill into cloud resources like virtual machines, databases, and storage.

Optimize Desktop And Mobile-Driven Hybrid Workflows | Zebra

Mobile solutions are changing the way care is delivered. With the right mobile strategy healthcare staff can access and update patient records in real-time, monitor patient vital signs and communicate with colleagues across multiple teams. All on one single device, a Zebra handheld. Transition effortlessly between full desktop and mobile modes, enabling easy adaptation to bedside needs and optimizing patient care.

Efficient Device Staging And Deployment | Zebra

Deploying hundreds or thousands of mobile computers across your hospital operations can be time consuming and costly. Zebra’s StageNow prepares your devices for use, fast, efficiently, also interfacing with your Mobile Device Management System (MDM), serving as a versatile addition or replacement for traditional enrollment methods. Enhance your deployment experience with support for Android Zero Touch, ensuring a quick and seamless setup of your devices..

CI/CD requirements for generative AI

CI/CD for generative AI applications presents unique challenges in model deployment, testing, and monitoring. Unlike traditional software applications, generative AI systems involve large model artifacts, complex dependencies, and specialized hardware requirements, making a sophisticated CI/CD pipeline essential for reliable delivery. As organizations embrace generative AI technologies, the need for specialized CI/CD solutions becomes critical.

Software delivery metrics for platform teams

For platform teams, success means empowering developers with efficient, reliable tools and workflows that accelerate software delivery. As organizations scale, platform engineering teams must balance developer autonomy with standardization while providing infrastructure that supports rapid, reliable software delivery. In today’s complex development environments, platform teams are crucial for maintaining productivity at scale.

How to use locators to design more resilient synthetic tests

Most modern web applications are frequently updated to implement new features, execute marketing campaigns, or enhance their UX with new libraries or APIs. While this helps you better engage your users, constant UI updates make designing flexible, long-lasting tests challenging.

A deep dive into Database Monitoring index recommendations

Datadog Database Monitoring (DBM) Recommendations help you proactively optimize performance throughout your database fleet. DBM draws on a wide range of data sources in order to detect and provide actionable guidance on issues such as blocking queries, low disk space, and missing indexes. In this post, we’ll show you how DBM formulates targeted indexing recommendations to help you optimize database performance.

Increase control and reduce noise in your AWS logs using Datadog Observability Pipelines

Today’s SRE and security operations center (SOC) teams often find themselves overwhelmed by the sheer volume and variety of logs generated by critical AWS services such as VPC Flow Logs, AWS WAF, and Amazon CloudFront. While these logs can be valuable for detecting and investigating security threats, as well as troubleshooting issues in your environment, managing them at scale can be challenging and costly.

Breaking Free from Legacy Observability: Why Service Providers Choose Kentik Over Deepfield

Modern network operators need modern observability tools. In this post, we explore why Deepfield — a traditional network flow analytics platform — falls short in providing comprehensive insights required for today’s network operations, and how Kentik’s modern data platform is purpose-built for today’s infrastructure teams.