Operations | Monitoring | ITSM | DevOps | Cloud

Artificial intelligence (AI) is revolutionizing the way we address real-world challenges, from fraud detection and customer service optimization to groundbreaking healthcare research and treatment. At the core of these advancements lies robust data center infrastructure.

The M365 suite is vast, and the mountains of data that accumulate within each application are huge and ongoing. While data reporting is a necessity, management can feel unwieldy. Luckily, there is an array of reporting software on the market to support this challenge. This blog explores three powerful tools for M365 reporting: SquaredUp, Microsoft 365's native reporting tool, and Power BI.

Server monitoring is essential for organisations relying on digital infrastructure. It tracks performance, availability, and health to ensure smooth operations. Without it, businesses face risks like downtime, poor performance, and security threats.

Software for Open Networking in the Cloud (SONiC) is an open-source network operating system that has revolutionized data center networking. Originating as a Microsoft-led initiative in the Open Compute Project (OCP) in 2016, SONiC has rapidly gained traction among hyperscalers and switch hardware vendors, including Broadcom, Cisco, and NVIDIA. By building its services using containerized microservices, SONiC brings flexibility, scalability, and modularity to network infrastructure.

Switching network management solutions can be a scary proposition, even when the system you have isn’t working well. After all, network management is the cornerstone of visibility, security, and IT operations, and if something is working “well enough” today, then leadership can be change-averse. However, sticking with a network management platform that isn’t a good fit for your environment can lead to waste, administrative overhead, visibility gaps, and reduced network reliability.

Synthetic data is gaining attention as artificial intelligence (AI) continues to evolve. But what exactly is it, and why is it so important today? At a high level, synthetic data refers to data that's generated by algorithms or mathematical models. It is not data collected from the real world.

Blockchain, IoT, Big Data. If you’ve been around in tech for a while, you know that these kinds of buzzwords come and go: they make a splash going in and fizzle out over time. Seeing many of them come and go over the years has made me skeptical. What are they trying to sell us this time? Some might call it getting grumpy; others might call it becoming an enterprise architect. So you’ll have to forgive me for thinking AI agents seemed like just another buzzword.

It was cold. The sun was bright in the sky, and there was an almost magical mist surrounding the trees. The smoking haze and sun distorts the colours of vegetation. I could see pinks amongst the green foliage and dark wood. The ground was hard and frosty, so I treaded carefully to avoid trips and falls. My golden labrador puppy chased my elderly mutt without a care in the world, clumsily tripping over in the ice and rolling a few times in the dirt, then bouncing back up with doggy joy.

We speak to engineering teams every day, and everybody knows AI is the future. Some tell us they’re massively accelerated by Claude, or that they’re rebuilding their product, team and ways of working. Cursor and Lovable have announced they’re building the last piece of software. Should we give in to the vibes? Embrace exponentials, and forget that the code even exists? The reality is that things will still go wrong. They always do, at least from time to time.

Elastic Security is making your organization safer with general availability of our favorite AI features. Elastic Security is announcing the general availability (GA) of two of our most widely deployed generative artificial intelligence (GenAI) capabilities: Attack Discovery, launched in May, and Automatic Import, launched in August. Elastic’s AI-driven security analytics are providing immense value to many organizations.