Operations | Monitoring | ITSM | DevOps | Cloud

How AI is democratizing video and what it means for your brand

Video stopped being optional years ago. In 2026, 95% of marketers say video increases brand awareness, and 60% report it directly drives sales. But for small businesses and solo entrepreneurs, there's always been a gap between knowing video matters and actually making it. The costs, the learning curve, the time-it adds up fast.

Operational Risks and Controls When Deploying Legal AI

A law firm recently found that its AI tool had misread "limitation of liability" clauses for 6 months. No one noticed the mistake. The error only came to light when a client faced a huge insurance claim that the firm had promised was capped. The cost? That firm is now dealing with a malpractice lawsuit and a damaged reputation. Using AI in a law office poses risks beyond simple computer bugs. These tools mix technical errors with professional responsibility. As AI becomes a standard part of the job, firms without strict rules will face quality issues and legal trouble.

How to Automate Alerts for Critical Directory Changes with Site24x7 Server Monitoring

It takes just one misconfigured deployment script to silently dump TBs of debug logs into a production server's/var/log directory. By the time anyone notices, the disk will be at 98% capacity, and multiple microservices would have already crashed. Incidents like these usually take hours to remediate and cost the team an entire sprint's worth of goodwill with stakeholders. This should never happen.

Sync Your Users Into Icinga Notifications: Introducing the Contacts/Groups API

If you’ve ever onboarded a teammate at 4:57 PM on a Friday (or offboarded one at 4:58 PM… ), you know the pain: keeping notification contacts and groups up to date is work. With the Icinga Notifications REST API, you can automate that and avoid drift.

What is Cybersecurity?

Cybersecurity refers to the processes and technology used to protect information technology networks, data, people, servers, endpoint devices and other IT-related systems from cyberattacks. The need for this protection has never been greater. All organizations (in both private and public sectors) now exist in a threat landscape that allows attacks against their IT infrastructure.

Helping Businesses Manage Blocked Calls: How SIP 603+ improves transparency in troubleshooting Call Failures

Imagine pulling up to a gas pump, inserting your credit card, and having the display on the pump say “denied”. You call your credit card company, and they say, “Oh, we don’t know, maybe it’s the merchant’s fault, or the card reader is bad…, we can look into it and get back to you in a few weeks.” Most of us would be pretty upset with that response.

Architecting Trust: The Blueprint for a "Golden Standard" Software Supply Chain | Harness Blog

We’ve all seen it happen. A DevOps initiative starts with high energy, but two years later, you’re left with a sprawl of "fragile agile" pipelines. Every team has built their own bespoke scripts, security checks are inconsistent (or non-existent), and maintaining the system feels like playing whack-a-mole. This is where the industry is shifting from simple DevOps execution to Platform Engineering.

Backstage Alternatives: IDP Options for Engineering Leaders | Harness Blog

Backstage alternatives fall into three real choices: build and own a framework, buy a fully managed IDP product, or choose a hybrid path that reduces maintenance but keeps Backstage at the core. The trade-off is not "free vs paid" but engineering headcount, governance maturity, time to value, and how actionable your portal is across CI/CD, IaC, and environments. The best commercial IDPs go beyond catalog and documentation.

Why MCP is becoming part of your product surface

AI assistants are quickly becoming a primary interface for how people interact with software. Developers ask them how to integrate APIs. Users ask them how products work. Buyers ask them how tools compare. Increasingly, the first explanation someone receives about your product does not come from your website, your documentation, or your sales team. It comes from an AI assistant. That shift has an important consequence that many organizations are only starting to notice.

Why preview environments only work when the platform owns them

Deployments are one of the few moments where software development still feels risky. Teams may have tests, a staging environment, and careful review processes, yet the final step still carries uncertainty. Will this change behave the same way in production? Will it interact cleanly with existing data, traffic, and infrastructure? Will it introduce regressions no one anticipated? Preview environments exist to reduce that uncertainty.