Operations | Monitoring | ITSM | DevOps | Cloud

Running Graylog on Kubernetes has been possible for a while, but let’s be honest: it usually involved a fair amount of DIY. Custom manifests, duct-taped values files, and more than one late-night kubectl describe pod. That changes today. We’re releasing the first-ever Graylog Helm chart for Kubernetes — now available in beta.

The Ingress NGINX Controller is approaching retirement, and teams need a clear path forward to manage Kubernetes ingress traffic securely and reliably. To make this transition easier, we’ve created a single, curated hub with all the relevant blogs and webinars. This hub serves as your one-stop resource for understanding the migration to Kubernetes Gateway API with Calico Ingress Gateway.

It seems like every service wants proof you control your domain. Certificate authorities need it to issue certificates. Email platforms need it to authorize sending. Analytics needs it to gather data. Just add this magic TXT record to your DNS, wait for propagation, click verify. It works fine when it’s a one-time setup, but certificate lifetimes are dropping to 47 days, and you won’t be able to keep up on that schedule.

As organizations grow their cloud environments and branch office networks, maintaining reliable connectivity and application performance becomes more complex. VeloCloud SD-WAN provides dynamic, policy-based routing to help ensure that your connectivity is dependable and cost-efficient, and that your applications perform consistently.

Block storage is a method for companies to manage files and databases by storing data in blocks for efficient and fast data access. It is similar to object storage, but depending on your needs, you may want to know which option better meets your needs. In this article, we will cover the following topics to help you understand: We will also offer options for you to get started with managing your storage for business with Internxt.

In an era where digital performance defines business success, large enterprises are embracing Event Intelligence Solutions (EIS) to keep services available, resilient, customer-facing operations protected from disruption. According to Gartner, Event Intelligence Solutions use AI and advanced analytics to enhance and automate how organizations respond to signals generated by digital services.

In regulated environments, slow change is often blamed on process. Too many approvals. Too much governance. Too much red tape. But in reality, most delays are not caused by regulation itself. They are caused by missing, fragmented, or untrusted evidence. Screenshots pasted into tickets. Proof assembled weeks later. Approvals stalled because no one can confidently say whether a change actually meets policy. When evidence is an afterthought, compliance turns into chaos.

ServiceNow is the system of record for change and approvals in most regulated enterprises. And yet, for many teams, it has become the place where delivery slows to a crawl. Not because ServiceNow is broken. But because the evidence model underneath it is. Developers ship fast through modern CI/CD pipelines, automated tests, and security scans, only to hit a wall when changes reach approval. Tickets bounce back. Evidence is questioned. Screenshots do not tell the full story. CABs hesitate. Releases wait.

CIOs rarely struggle to find automation ideas. What they struggle with is getting those ideas funded, then keeping support once the first few workflows go live. We built this guide for IT leaders who need a credible, repeatable way to present IT automation ROI in language that resonates with the C suite. If you are shaping an automation program across service desk, IT operations, and network operations, our Agentic Automation for CIOs & CTO’s hub lays out the strategic lens.

Gartner has predicted that 2026 will see a 10.6% increase in India’s total IT spend from 2025 (2025: USD 159 billion vs 2026: USD 176.3 billion), with data centres, cloud infrastructure, and AI-enabled technologies driving this growth. This isn’t just a budget increase; it’s a fundamental shift in where innovation happens, who owns the infrastructure, and how we translate AI potential into scalable impact.