Operations | Monitoring | ITSM | DevOps | Cloud

Autonomous analytics are changing everything. Don’t we all love dashboards? Those pixel playgrounds of donut charts, bar graphs, and KPI-based visuals. Well, guess what? They may not survive what comes next. Teams once hovered over them like ancient monks reading entrails, guessing what churn rates might predict or which sales region would wake up next quarter. That practice will no longer serve its purpose.

In 2025, many companies are reckoning with the true cost of microservices, especially as cloud bills grow and engineering teams face coordination fatigue. The move back to monoliths is gaining traction, particularly for startups and mid-sized businesses who need: ‍

PostgreSQL, widely regarded as the world’s most advanced open-source relational database, continues to set the standard for performance, scalability, and flexibility in modern data infrastructure. While it has always been a top contender, each new release of PostgreSQL introduces powerful features and enhancements that make it an even more compelling choice for developers, database administrators, and IT leaders alike.

Today, we are happy to celebrate Elastic and AWS committing to a five-year strategic collaboration agreement (SCA). Our collaboration underscores the efforts of Elastic and AWS to provide you with increased speed and greater flexibility as you adopt generative AI technology.

Global cloud spending will surge past $700 billion this year. Megacaps alone will spend more than $300 billion on AI in 2025, with much more on the way. The innovation potential of the cloud has never been higher, never been more hotly contested, and never come with a higher price tag. In the late 2000s, the cloud reshaped the global economy and enabled life as we know it. Now, in the mid 2020s, AI is poised to do the same.

At ManageEngine, we're committed to empowering IT teams with tools that simplify operations and deliver effortless observability for all stakeholders. We're excited to announce the Site24x7 extension for ManageEngine ServiceDesk Plus On Demand now available on the ManageEngine Marketplace. This extension transforms ServiceDesk Plus On Demand from a passive ticketing tool into an active hub for IT infrastructure management.

Let’s start with the obvious: we’d like to have Anthropic as a customer. We greatly admire the work they are doing at the intersection of frontier models + safety. We use lots of different AI tooling at incident.io. We’re all-in at AI at incident.io, both to improve the productivity of our internal team and, more importantly, to provide our customers with superpowers in the form of an AI incident responder.

Hallucinations occur when a large language model (LLM) confidently generates information that is false or unsupported. These responses can spread misinformation that jeopardizes safety, causes reputational damage, and erodes user trust. Augmented generation techniques, such as retrieval-augmented generation (RAG), aim to reduce hallucinations by providing LLMs with relevant context from verified sources and prompting the LLMs to cite these sources in their responses.

Datadog dashboards provide a unified view of your applications, infrastructure, logs, and other observability data—making it easy to monitor health, investigate issues, and share insights across teams. While native Datadog widgets support a broad range of visualization types, some use cases call for more customized representations, particularly when you’re working with unconventional data formats, external sources, or specific transformations.

When your Kubernetes app suddenly has traffic spikes in a distant country, it can be difficult to determine why. Let’s say, for example, we have an e-commerce app that started to receive an unusual surge of visitors from Australia — something we never anticipated. We search for answers in our logs, but without geographic context, we don’t have the full insights we need.