AI-driven processes, including machine learning models and data processing, require significant computational resources which can lead to increased energy consumption and heightened operational costs. The complexity of these workloads, which often involve real-time data analysis and continuous model training, exacerbates the need for robust data center management.

Observo.ai is excited to share that we now integrate with Panther Labs, a modern SIEM built for the cloud. This enables Panther users to leverage Observo.ai’s powerful telemetry data pipeline features. Observo.ai was created to help Security and DevOps teams solve their biggest telemetry problems. Using Artificial Intelligence, Observo.ai optimizes and transforms data from any source and routes it to the destinations where it has the most value.

Observability isn’t new. But organizations are struggling to adopt mature observability practices, and the impact on business is palpable. Organizations are seeing the value of observability for their applications and infrastructure—the results of our 2024 Observability Pulse survey of 500 global IT professionals reflects that across the board.

You’re probably familiar with finding surprise, hidden charges if you’ve been using the cloud for a while. Data transfer fees are the most common source of unanticipated charges on Amazon Web Services (AWS). They can be so costly that some companies, like Netflix and Pinterest, have spent fortunes on data transfer fees — up to $30 million a year. In this post, we’ll share tips for navigating AWS data transfer costs and how you can optimize them.

When the National Stock Exchange of India (NSE) deliberated on an approach to making cloud computing accessible and compliant to handle brokerage systems, the questions that needed immediate attention were:- How to handle technical glitches during peak trading hours?- What would it take for stock brokers to use cloud computing to navigate the intricate world of trade and investment without revenue loss?

Enacted by the European Union, the Digital Operational Resilience Act (DORA) establishes new standards for digital operational resilience in the financial sector. DORA changes the financial sector's approach to digital security and resilience by imposing stringent Information and Communication Technology (ICT) risk management, incident reporting, third-party risk management, and regular testing.

The kubectl logs tail command is a tool that allows users to stream the logs of a pod in real-time while using Kubernetes. This command is particularly useful for debugging and monitoring applications, as it enables users to view log output as it is generated and quickly identify any issues or problems with their application. In this article, we will see how to use the kubectl logs tail command to stream logs, the benefits of using the command, and an advanced tool for streaming logs.