Operations | Monitoring | ITSM | DevOps | Cloud

Slow is officially the new down. That’s a major finding of The SRE Report 2025, with 53% of study respondents agreeing with this expression, and 44% stating “performance should be tracked against a service-level objective.”

According to industry benchmarks, unplanned downtime costs enterprises an average of $5,600 per minute. For industries like fintech, e-commerce, and SaaS, where customer experience is a competitive differentiator, prolonged outages translate into customer churn, SLA penalties, and reputational damage.

Effective logging is essential for any Python application, especially those powering critical backend services. Logs capture diagnostic information about a system’s performance and behavior, enabling better observability and uninterrupted monitoring—both critical as distributed systems grow in complexity. Luckily, Python’s built-in logging module streamlines log management with customizable formats that enhance readability.

Today we’re excited to announce that InfluxDB 3 Core, our new open source product licensed under MIT/Apache 2, and InfluxDB 3 Enterprise are now in beta. InfluxDB 3 Core is a high-speed, recent-data engine that collects and processes data in real-time, while persisting it to local disk or object storage. InfluxDB 3 Enterprise is a commercial product that builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries.

The best remote support tool is secure, user-friendly, and provides five-star customer support. IT professionals seeking software for their organization should consider pricing and licensing restrictions, and compatibility with their existing infrastructure and compliance with industry regulations. As remote work continues to rise, we expect to see the use of remote support programs expand beyond IT help desks and customer support teams.

The Tech Show 2025, held on March 12-13, was a testament to the rapid integration of artificial intelligence (AI) across various vendors. A significant number of companies showcased their latest AI advancements, underscoring the technology’s pivotal role in shaping the future. From startups to established tech giants, exhibitors demonstrated AI’s transformative potential.

In a recent webinar, Gartner unveiled its Top 10 Strategic Technology Trends for 2025*, which all focus on the concept of ‘Responsible Innovation’. They break this down across three pivotal themes: AI Imperatives and Risks, New Frontiers of Computing, and Human-Machine Synergy.

Observability and monitoring are not about gathering different data—they differ in their purpose, but share the same data. Monitoring is focused on notification based on predefined questions. Whether that’s through Dashboards people watch, or push-based alerts to notification systems like SMS or purpose-built platforms like PagerDuty.

The digital world is evolving rapidly, and businesses must always stay up and running. Any disruption—from cyberattacks, hardware failures, or natural disasters—can cause financial losses and harm a company’s reputation. This is why business continuity is essential. Managed IT services and cloud security solutions help businesses stay operational even during unexpected events.

Monitoring is an essential part of any Kubernetes deployment, helping organizations optimize cluster health, streamline troubleshooting, and control their costs. In Grafana Cloud, we offer all these capabilities (and more) in our out-of-the-box Kubernetes Monitoring solution. Since introducing Kubernetes Monitoring in 2022, we’ve been steadily adding new features, improving the UI, and making it even easier to gain insights into the state of your Kubernetes fleet.