Operations | Monitoring | ITSM | DevOps | Cloud

We’re excited to announce that Agentic Pipelines is now generally available across all paid Cloud Bitbucket plans. You can run agents on our cloud runners or on self-hosted Linux Docker runners, with support for more runner types coming soon. With this launch, Bitbucket Pipelines evolves from a CI/CD tool into an intelligent workflow engine that increases developer productivity by letting agents handle routine engineering tasks.

Harvey AI pricing is not published: every deal is sales-negotiated. Reported figures across procurement research converge on roughly $1,200 per lawyer per month at the base, 20-to-25-seat minimums, and 12-month terms, putting reported entry floors near $290,000 to $360,000 a year. Premium bundles run higher. No free tier, no monthly plan, no self-serve. Every figure on this page is labeled for what it is: disclosed by Harvey, reported by named research and journalists, or computed from those reports.

87% of finance leaders are raising their AI budget for FY2027, 45% of them by more than 20%, even though 61% already spend more on AI than they can justify. Most can't see where it goes: 54% can't break AI spend below a rough category, so budgets default to the total and keep climbing. The teams that allocate spend, tying each AI dollar to the team, product, or outcome behind it, are the ones who can defend the number to a board.

Cross-source API correlation connects runtime findings to their code, documentation, and fixes for improved defense against machine-speed attacks. It's late on a Thursday, and a runtime alert fires on POST /api/v2/payments in production. The finding is clear. What happens next is not. In fact, it creates a host of questions to be answered: Every AppSec team knows this hunt. And every day spent hunting for the right repo and owner is a day the attacker can still exploit a vulnerability.

Prompts are an important part of LLM application behavior, but teams often manage them alongside application code or across separate notebooks and configuration files. This can make prompt changes dependent on application releases and make it difficult to understand which version is running in each environment. When a change affects application quality, latency, or cost, teams also need a way to connect that behavior back to the prompt version that produced it.

TL;DR Managing Kafka consumer lag manually is time-consuming and error-prone. Today, we'll show you how to create a fully automated consumer lag monitoring agent in just 5 minutes using Aiven Managed Agents. This agent will monitor your Kafka services and send real-time alerts to Slack when consumer lag is high.

“Why aren’t my campaigns syncing to Salesforce?” “Your dashboard won’t load. Is something down?” When customers report a problem, your support team needs to understand whether it’s related to your product or a provider you depend on. Your AI support agent needs that context, too. By connecting StatusGator to Intercom through MCP, you can give Fin access to live status data and help it provide more useful answers during support conversations.