Operations | Monitoring | ITSM | DevOps | Cloud

What does it take to move from AI experimentation to real-world adoption, and where does sovereign AI fit into the picture? In Episode 2 of Season 2 of Perspectives from the Edge, Andrew Dutton,Enterprise Sales & Marketing Director at SCC, joins Pulsant’s Wendy Shearer to explore the challenges businesses are facing as AI moves from experimentation into production and scale.

One file changed. 9,716 tests in the suite. Only 44 needed to run. See how Smarter Testing uses Test Impact Analysis to cut the unnecessary tests and get to feedback faster.

CircleCI Smarter Testing is now generally available. In this tutorial, we’ll show you how Smarter Testing helps you run fewer tests, get faster feedback, and reduce unnecessary CI compute with three capabilities: Then, we’ll put it to the test. For the same code change, a traditional pipeline ran all 9,716 tests across 15 nodes. With Smarter Testing, CircleCI identified just 44 impacted tests and skipped the other 9,672, cutting test runtime from 3 minutes and 56 seconds to 22 seconds.

In this episode of SolarWinds World Tour Conversations, we sit down with Ramazan Karadavut, Founder & Senior Architect at Consolit, to discuss his 20-year journey with SolarWinds and the power of end-to-end IT management. We explore real-world enterprise use cases, including monitoring large-scale banking networks across 10,000+ branches, and thousands of ATMs. We will also explore why moving beyond basic alerting into inventory management, change management, and investment reporting is essential for complex environments.

Verascend Incident System Graylog's agentic layer that turns correlated, risk-scored alerts into verified incidents. Graylog’s Verascend Incident System turns risk-scored alerts into verified incidents before analysts open a case. Alert fatigue is a math problem. Tuning is a workaround. Verascend combines risk-scoring, event consolidation, and two AI agents to confirm which correlated events are real incidents, automatically, before an analyst ever opens a case. Analysts investigate. They don’t filter.

Analyze data and create reports across multiple database systems and cloud services with dbForge Edge. dbForge Edge brings SQL querying, data analysis, visualization, reporting, and automation into one multi-database solution. Use the built-in SQL development tools and AI Assistant to retrieve data, analyze large datasets with pivot tables, inspect related records with Master-Detail Browser, visualize findings in charts, and create clear and compelling data reports.

Not every AI tool has staying power, and the ones that last are the ones that fit your organization’s strategy. AI is following the same arc as the cloud push and the dot-com era: a massive boom, then a contraction. Before you invest, ask what will actually make a difference in your org, and build from there. Watch the full IT Leadership Lab session — linked above.

Your data sits in the UK. But who has the final say over it? As AI raises the stakes on where data lives and who controls it, digital sovereignty has moved from policy debate to boardroom priority. At Civo Navigate London, Lord Paul Drayson, Simon Hansford, Richard Woodfield of DataVita, Dan Chester of VAST Data and Ed Barker of Havishams explore what sovereignty really means for governments, businesses and the infrastructure behind them, and what it will take for the UK to adopt AI without giving up control.

Citrix was facing a major security crisis before its official warning even went out. Companies were already pulling critical network devices offline as attackers exploited serious vulnerabilities in Citrix NetScaler ADC and Gateway systems. In this ShipTalk clip, Adam, Martin, and Starr break down the Citrix zero-day vulnerabilities, the race to respond, and the impossible decision facing security teams: keep potentially compromised infrastructure running or rush to deploy a patch.

Trace redaction permanently removes sensitive data from your traces, for when something like an API key ends up in a span attribute. Tempo 3.0 could do it, but only from a list of trace IDs, so you had to go find every affected trace first. In Tempo 3.1 you can hand it a TraceQL query instead. Separately, trace-by-ID got a filter. You normally ask for a trace and get all of it. Now you can pass a TraceQL query and get back only the spans that match.