Operations | Monitoring | ITSM | DevOps | Cloud

Some teams won’t touch DeepSeek because it’s Chinese. Others are quietly running pilots and rethinking how much reasoning and context they actually need, or can afford. For SaaS teams staring down runaway AI costs, DeepSeek’s mix of open-source freedom, massive context windows, and token rates 10–30X cheaper than OpenAI or Anthropic is tough to ignore. However, DeepSeek pricing comes with cache hits, cache misses, off-peak discounts, that September pricing shift, and more.

Good news – Early Warning Signals are now available in Google Chat! This means you’ll get real-time alerts about possible outages—before providers officially acknowledge them—delivered right where your team is already chatting and collaborating.

Anthropic’s Claude is one of the most powerful and developer-friendly large language models (LLMs) available. But as usage grows, so does cost. Here’s the reality: A single unoptimized development loop or unmonitored QA job can multiply costs 10x overnight. Most teams experimenting with Claude lack the visibility and guardrails needed to prevent runaway costs, especially once usage moves from R&D into production.

Tame uncontrolled cloud growth and regain control of your infrastructure. Learn the causes of cloud sprawl, its impact on your budget and security, and strategies to build a more sustainable cloud environment.

Data centres often hold the fluorinated gas (f-gas) HFC-227ea, traded under the name FM-200, as an emergency measure to stop fires in data halls and technical space without harming electrical equipment. Robust fire prevention helps avoid devastating human, operational, financial, and environmental consequences, but there’s a problem with this particular gas – if released, it has an immense global warming potential.

Organizations face increasingly complex cloud environments — from hybrid clouds to multi-cloud deployments — where costs can quickly spiral without real-time visibility and intelligent controls. This is why setting clear goals for cloud cost optimization is necessary to keep your organization proactive. The key to success lies not just in setting goals, however, but in ensuring those goals are clear, realistic, and supported by continuous measurement and actionable insights.

As organizations increasingly adopt multi-cloud strategies, identifying areas to reduce cloud spend has become highly complex and time consuming. While there are many reasons that organizations choose to run their infrastructure in a multi-cloud environment, many do so to comply with regional data requirements, take advantage of best-of-breed offerings, or avoid vendor lock-in.

SharePoint Online has become the backbone of document management for many organizations. From project files to legal contracts, HR records to financial reports, it holds critical business data that grows relentlessly. But as usage increases, so do two unavoidable challenges: The dilemma? Simply deleting files may reduce storage bills, but it risks non-compliance. Retention policies may satisfy regulators, but they don’t stop your storage from exploding in cost.

If you ever tried any vibe-coding tool on the market you know they are mostly supercharged NodeJS code editor, full of pre-made components and often unable to really understand your existing code base. We created AppJet for a simple reason: AI is now at a maturity point where it can realistic to use it as a real coding companion.