Carlos Casanova

GitLab is a leading platform for version control, continuous integration and delivery (CI/CD), and collaboration. With its robust features and security focus, GitLab has gained a loyal user base and has become a go-to solution for enterprise developers worldwide. A recent rumor, however, suggests that Datadog, a popular monitoring and analytics platform, is eyeing a […]

AIOps is a critical tool for IT leaders aiming to run high-performance organizations and drive business outcomes. Learn more about the benefits of AIops in this preview of our upcoming Technology & Innovation Summit North America.

Aristotle’s wisdom nails it: mastering precision, appropriateness, timeliness, intentionality, and methodology isn’t just for anger management — it's crucial for AIOps too. In the chaotic world of IT, we need to separate the signal from the noise and act with clear intention.

At its recent Cisco Live event, the tech giant made a number of new announcements, detailed plans for its $28 billion Splunk acquisition, and walked through its vision for the future. Get a detailed review in this post.

Beim IT-Betrieb kommt es auf den Stil an: Zu langsam, und Ihr Unternehmen verpasst Marktchancen; zu schnell, und Sie transformieren Abläufe, die das Unternehmen nicht vollständig nutzen kann. Erfahren Sie, wie Sie durch die optimale Ausgewogenheit der IT-Funktionen eine leistungsstarke IT betreiben können – das Streben nach einer kontinuierlichen Verbesserung der Geschäftsergebnisse durch Technologie.

The growing complexity of IT infrastructures creates a daunting task to manage and optimize systems, especially while maintaining a vital business-IT alignment. This is where AIOps and observability can deliver benefits.

The move to high-performance IT puts AIOps and observability in the spotlight. But like any transformative initiative there are risks associated with implementing AIOps. Learn the five key risks of implementing AIOps in this post.

Style matters when running IT: too slow, and your business misses out on market opportunities; too fast, and you’re transforming operations that the business can’t fully utilize. Learn how the optimal balance of IT capabilities will let you run high-performance IT — the pursuit of continuously improving business results through technology.

AIOps and observability have become crucial for businesses seeking to optimize their IT operations. These technologies offer the promise of enhanced efficiency, improved decision-making, and better customer experiences. Learn how to successfully implement AIOps and observability by following a seven-step approach.

Implementing AIOps and observability solutions can be a challenging task for organizations. To ensure success, it is crucial to develop the right approach and strategy that aligns with your enterprise’s specific IT complexity and goals. Learn how you can begin exploring the best practices for AIOps and observability and the aspects that you need to consider when embarking on the delivery of these.

IT organizations must evolve they way they monitor employee and customer experience technologies. Learn why in this blog post.

Learn how leveraging synthetic data can help with the critical time to realize AIOps value, such as autoremediation capabilities and enhanced decision-making.

Insights from observability efforts are important but what happens if the word loses its meaning? The word is being used to describe everything from low level data pipeline to just recently, Generative AI. Where will it end?

Find out what Cisco's $28 billion planned acquisition of Splunk could mean for both observability and security.

As security threats increase, data protection and security practices continue to merge. Data resilience firm Rubrik recently announced its acquisition of Laminar, a data security posture management (DSPM) vendor. Together, they aim to enable consistent and unified data security posture visibility that spans on-premises and cloud-based environments. Modern Data Resilience Is Increasingly A Cybersecurity Issue […]

The Forrester Wave™: Process-Centric AI For IT Operations (AIOps), Q2 2023, evaluated 11 vendors on 30 different capabilities. Read the report to see which vendor came out on top with the highest-ranked capabilities for the broadest set of organizations.

Tools leveraging ML models in dynamic environments must be continuously fed new data in order to adapt to changing conditions and goals. They need to learn as much as possible about their new environments before being fully able and safe to provide service and ultimately deliver value. Synthetic data can help address these and other AI/ML challenges.

We found that agnosia quite nicely describes what is happening with companies’ efforts around experience. Their inability to identify you as the same individual after having repeatedly interacted with them as a customer and user and employee over a period of time, might cause you to question your sanity when interacting with them. 

On Monday, Hewlett Packard Enterprise (HPE) announced its intention to acquire OpsRamp, which offers a multitenant AIOps-powered IT operations management (ITOM) solution for hybrid cloud environments. Its AIOps solution will be integrated into HPE’s GreenLake edge-to-cloud Platform. OpsRamp’s 300 employees will join HPE’s office of the CTO. Terms of the OpsRamp acquisition were not announced, […]