Operations | Monitoring | ITSM | DevOps | Cloud

Data connectivity solutions are the bedrock of a solid database management strategy. Here’s why. Databases rarely work in isolation. They are constantly interacting with various apps and cloud platforms. As such, ensuring that this interaction flows seamlessly is critical. This is where your business data connectivity solution comes in. But here is the problem. There is no one-size-fits-all connectivity solution.

The Fabric Data Warehouse was built to solve one of analytics’ biggest challenges: fragmentation. When data is spread across separate tools for ingestion, modeling, and reporting, teams lose time, accuracy, and visibility. As part of the Microsoft Fabric ecosystem, the Data Warehouse addresses this by unifying every stage of the analytics process into a single, connected environment.

As the dotConnect team, we are proud to be a sponsor of the.NET Conf 2025. This landmark event highlighted the key advancements of the.NET ecosystem, from major releases to AI-powered tools and inspiring community-driven projects.

French and German leaders join forces in strategic partnership to bring flexibility and reliability to the European eCommerce market. After three years of successful collaboration, Shopware, the German-based European leader in open-source eCommerce, and Upsun, the French-based leading European Cloud Application Platform, are announcing a strategic partnership. Building on early success, with already 45 joint customers and growing, Shopware and Upsun are deepening their collaboration in 2026 and beyond.

“As the UK’s hybrid cloud specialist we are already helping clients reduce their environmental impact by ensuring the most efficient use of their technology infrastructure. I am really proud that this pledge to shift to Net Zero takes us, and our clients, to the next stage on this vital journey.” – Rob Coupland, CEO, Pulsant Pulsant is promising to achieve Net Zero by 2050, and earlier, if possible.

Pulsant recently pledged to slash its carbon and other emissions as part of a thorough review of the entire business. Our goal is to halve all emissions by 2030 and achieve Net Zero by 2050 at the latest. This will require a continued and sustained effort. To be effective we will need to understand our connections to bring all our suppliers, vendors, clients, and of course our people, with us. Our ambition will be validated in accordance with the Science Based Targets Initiatives’ Net Zero Standard.

Modernising enterprise middleware is now a strategic necessity for cost efficiency, AI-readiness, and operational clarity. Hybrid estates of IBM MQ, Apache Kafka, and other brokers hide inefficiencies that drain profitability, but an operating model built on Assurance and Optimisation restores transparency and control. By unifying data, rebalancing workloads, and enabling safe AI autonomy, organisations can build a resilient “Confidence Economy.”

Every TLS certificate issued by a root Certificate Authority (CA) ends up in one more more publicly accessible logs. These logs, collectively, make up the Certificate Transparency (CT) ecosystem. Unfortunately the logs are not very searchable. You can’t easily type in a domain and find all associated certificates. At CertKit we’re building CT monitoring capabilities to notify our customers when a new certificate is issued.

At.conf25, we took a bold step forward—introducing the concept of MachineGPT, which brings the power of generative AI to one of the most overlooked resources: machine data. MachineGPT speaks the language of machines. Just like ChatGPT learned the grammar of words and sentences to understand questions and respond in human language, MachineGPT can learn the hidden “grammar” of how systems behave through machine data.

Previously, I wrote about how debugging, whether done by humans or AI powered tools, depends on context. Without it, even the most capable systems can only tell you what code is broken, but not why it broke. Now that AI can access the same depth of context developers rely on (stack traces, traces, logs, commits, and code), the way we build and operate software is changing. We’re moving from an era of monitoring to one of reasoning.