Engineering changes how you think
Even when you stop writing code every day, the way engineers think about systems, feedback, and problems stays with you.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Nexthink Flow: Product Overview
Nexthink Flow combines AI-powered data with a real-time, low code orchestration engine to continuously optimize complex workflows, monitor progress, handle exceptions, and ensure that all tasks are completed as intended. Repurpose hours spent on recurring issues to optimize resources, save costs, and improve IT and employee productivity.
What is SSL Certificate Monitoring?
SSL Certificate Monitoring is the automated process of validating the integrity, trust chain, and expiration status of TLS certificates across network endpoints to prevent connection failures. SSL/TLS certificates are required for encrypted data transmission and server authentication. If a certificate is expired or fails validation (hostname, trust chain, issuer, etc.), properly configured clients will terminate the connection.
MCP and A2A: What They Are and Why They Matter for Autonomous IT
MCP and A2A are the two protocols that make agentic AI governable at enterprise scale. One controls how agents use tools, and the other controls how agents work together. AI in the enterprise is no longer confined to chat windows. It’s operating inside incident queues and automation pipelines. Increasingly, teams are using AI agents to take action: detecting incidents, executing remediations, updating tickets, coordinating across systems.
Why the New Normal in Cyberattacks Demands Network Intelligence
As cyberattacks evolve into “machine-speed” disruption campaigns that span cloud, identity, and network planes, traditional monitoring is no longer enough to protect modern enterprise infrastructure. Shifting to a network intelligence model, powered by real-time telemetry and AI-driven reasoning, enables security teams to detect weak signals and automate defenses before an incident becomes systemic.
4 Key DEXOps Process Improvements
Most IT organizations want to improve the digital employee experience. But good intentions alone rarely move the needle. The real shift happens when organizations evolve how IT operates. Traditional IT operations are built around reacting to incidents. But ticket-based operations, or operations based on poor data, lack the ability to create truly predictive ways of working.
Digital Adoption + AI: The Secret Route to Zero Tickets
Generative AI has the potential to transform workplace productivity – but do organizations know how to deliver on that promise? New research shows that employees who use generative AI tools engage with them up to ten times per day, spending over three hours per week interacting with AI at work. And yet within the same organizations, large groups of employees have never meaningfully engaged with these tools at all.
Maximizing Subsea Capacity with Programmable 140Gbaud Transmission
While the race to expand networking infrastructure to support AI applications continues on land, the same expansion is occurring undersea. Subsea cables spanning Earth’s oceans must evolve to keep pace.
ABI recognises Civo as a global leader in NeoCloud innovation
Civo has been identified by ABI Research as one of the world’s leading NeoCloud providers. The report underscores our focus on cloud and AI infrastructure that blends high performance, technical innovation, and strong sovereignty. Being included in the ABI NeoCloud report validates the work we have done to support modern AI workloads while giving organisations control over where and how their data is handled.
Test your AI model training reliability, too
Training is at the heart of every LLM model, but it’s still an application running on an infrastructure, which means it can fail. Our GPU test helps you test your training GPUs so you don’t lose that valuable work. TRANSCRIPT: One of the things we built recently was the GPU Gremlin. So if you are training a bunch of models and you're doing a bunch of GPU testing. You know, we want to give you the tools to be able to go test that, to understand how training the model could fail.