Operations | Monitoring | ITSM | DevOps | Cloud

Landscape Operations Automation beyond SAP Landscape manager

During the summer of 2024, SAP quietly announced the end of the Landscape Manager product. You can find out more from SAP directly here, including linked SAP Notes. LaMa Discontinued Community Post Unlike the news for Solution Manager or Focused Run, where the 2027 date signals a transition to extended support options, with LaMa the product is discontinued and extended support options aren’t available. For customers using Lama, the announcement and timeline are disruptive.

VictoriaLogs in VictoriaMetrics Cloud: Fast, Cost-Effective Log Management is Here

Yes, you got it right: VictoriaLogs is now Generally Available in VictoriaMetrics Cloud! We believe that this is a huge milestone in our journey to deliver what our users are expecting from us: a complete, managed observability solution. If you’ve been following our quarterly updates, you know we’ve been after this launch for a while. In our latest update a few weeks ago we already announced that we were ready and today we’re making it official.

Powering Harness Executions Page: Inside Our Flexible Filters Component | Harness Blog

Filtering data is at the heart of developer productivity. Whether you’re looking for failed builds, debugging a service or analysing deployment patterns, the ability to quickly slice and dice execution data is critical. At Harness, users across CI, CD and other modules rely on filtering to navigate complex execution data by status, time range, triggers, services and much more.

Building new revenue streams: 3 strategic cloud opportunities for telcos in 2026

The telecommunications industry is at a turning point: telcos are seeking ways to turn innovation into new opportunities. Looking at the data, the desire is easy to understand. In 2023, PWC projected that the sector’s annual growth rate would slow significantly between 2024 and 2028.

Build, buy, or open source? Understanding your options with Grafana's AI-powered observability

Some questions in engineering never go away. Here’s one that every team eventually confronts: Do we roll up our sleeves and build the tooling ourselves, or do we buy something built for us? It’s a choice that has the power to speed teams up or hold them back. With the rise of AI-powered observability, this familiar software dilemma has re-emerged with higher stakes and faster-moving technology.

SRE Report: AI optimism and the economics of effort

For eight years, the survey behind the SRE Report has used a consistent methodology. That consistency allows us to track how reliability work evolves over time, rather than relying on snapshots. One of the most stable questions in the survey asks respondents to estimate how much of their work, on average, is spent on toil. Between 2020 and 2024, responses showed a gradual decline in reported toil.

We Measured AI Impact for 12 Months. Here's What Actually Happened.

When we rolled out AI coding tools across our engineering team, the first few weeks felt great. Developers were enthusiastic. Acceptance rates looked healthy. Everyone said they felt more productive. Then my CEO asked me a simple question: “Is it working?” And I realized I didn’t have a good answer. Feeling productive and being productive are not the same thing.

Are Businesses Leaving the Cloud?

Learn the truth about cloud repatriation, the motivations behind it, and whether it’s really happening as much as you think. For years, the cloud has been the default solution for businesses wanting speed of deployment with quick and easy scalability. And while the cloud promises endless resources at your fingertips, a lot of network teams are having the conversation about whether to pull their workloads back out of the public cloud and run them on their own hardware or private cloud again.