Operations | Monitoring | ITSM | DevOps | Cloud

The availability of SEO and AI search services in the Western Balkans

SEO and AI search services in the Western Balkans are making a significant impact on the international market. Agencies in this region are uniquely positioned to provide expertise for clients in the USA, UK, and EU, thanks to a combination of skilled talent and competitive costs. Understanding the advantages of hiring a Macedonian agency can help organizations maximize digital visibility and optimize online performance.

Will AI agents replace database IDEs? The future of database development

AI is already good at writing SQL, which is why people keep asking whether AI agents will replace database IDEs. But letting an agent work on a production database is still a much bigger leap. In tests reported by BIRD, a text-to-SQL benchmark built from 95 real databases across 37 professional domains, human experts reached 92.96% execution accuracy. The best single-model entry reached 80.04% in June 2026. The model failed roughly one task in five; the humans, about one in fourteen.

The Safest Place to Run an AI Agent Is On a Cluster That Doesn't Trust It

Every organization running AI agents has already made a hosting decision. Most made it by accident. The sales team switched on the agent built into their CRM. Engineering is piloting a coding agent in a vendor’s cloud. Someone on the data team deployed a LangGraph service to a VM with a database key in an environment variable, and someone else is running an agent framework on a laptop with production credentials in a dotfile. Each of these is a hosting decision.

When Intelligence Stops Being Scarce

As intelligence becomes increasingly accessible, competitive advantage shifts to the operational capabilities that transform insight into consistent, confident action. As AI makes operational insight easier to generate, competitive advantage is shifting to the platforms, workflows, and operational foundations that turn intelligence into trusted action.

Top 9 AIOps Tools to Cut Alert Noise and Speed Up Root Cause Analysis

During your last major outage, several monitoring tools raised alerts and every one of them was correct. What none of them could say was which alert explained the others, so the opening stretch of the incident went on assembling a picture the systems already held between them. That time shows up in your availability numbers, your SLA credits, and your board report. AIOps platforms close that gap by grouping the alerts caused by the same failure and handing your team one incident with context attached.

Don't Sleep on Perplexity

Perplexity was a big name a few years ago. But, we haven’t heard much out of them lately. There are plenty of posts on social media criticizing Perplexity to that effect. One thing that the posts miss is that Perplexity is still the king of AI search. Google is giving it a run for its money with the AI previews on Google search, but Perplexity still wins out in several measurable ways.

Mobot levels up: Build incident response playbooks with natural language

We’ve recently shown how Mobot, Sumo Logic’s AI assistant, has evolved from a search assistant into a true thinking partner, introducing natural language to log analysis and monitors. Today, we’re bringing that same conversational reasoning to one of the most powerful parts of the platform: playbooks in Automation Service. Historically, playbook authoring has been a highly manual process that required deep organizational and Sumo Logic platform knowledge.

How Object Storage Services Support AI, Analytics and Data-Driven Business Growth in 2026?

AI doesn't wait for tidy data. It eats everything, logs, images, sensor feeds, half-finished datasets, and it eats fast. That's the problem most enterprises run into around year two of any serious AI initiative. The pilot worked. Then the data volume tripled, and suddenly nobody's storage architecture looks adequate anymore. This is exactly where object storage services earn their keep, offering a scalable foundation for the unstructured, ever-growing datasets that AI and analytics workloads demand. Not a silver bullet. Just infrastructure that finally matches the shape of modern data.