At Sumo Logic, we’re committed to helping you scale without breaking your budget. As you may have heard, we recently launched Flex Licensing, a first-of-its-kind economic model that offers free, unlimited log data ingest so different teams can capture and analyze critical data across their enterprise in one place. We’re also committed to tackling related challenges raised by other data sources — like metrics.

To meet customer needs for scale, speed, and precision, IBM partners with Elasticsearch to deliver retrieval augmented generation (RAG) capabilities that can be seamlessly integrated into the IBM watsonx Assistant’s new Conversational Search feature. Customers using IBM watsonx Assistant and watsonx Orchestrate can now build conversational AI assistants grounded on their company data with comprehensive search capabilities with RAG.

Cribl Lake is simple, it’s storage, it’s simplified storage to keep large volumes of IT and security data for long retention periods. And now it’s even easier for you to start using Cribl Lake. In addition to Cribl-managed Cloud Worker Groups, cloud customers can now use self-managed Hybrid Worker Groups to send data directly to Cribl Lake. This means all your worker groups, whether hybrid or cloud, can write data to Cribl Lake — all coordinated by your Cribl.Cloud Leader.

Becoming an expert in any query language can take years of dedicated study and practice. At Coralogix, however, we believe observability should be accessible to everyone. That’s why we’re thrilled to announce the launch of our latest innovation (and your new sidekick): the AI Query Assistant. The AI Query Assistant revolutionizes the way you interact with your data.

Elastic has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms. The need for observability platforms continues to evolve as operations teams deal with increased complexity and exponential data growth. Emerging trends like generative AI are driving a paradigm shift in proactive root cause detection and resolution.

Creating OpenSearch clusters is crucial for organizations aiming to harness the power of distributed search and analytics. These clusters allow businesses to efficiently store, index, and examine extensive amounts of data in real time, offering valuable insights for decision-making and operational efficiency. A significant advantage of creating OpenSearch clusters is that they support replication and shard allocation, which ensures high availability and fault tolerance.

The demands on IT, observability, and security teams have never been greater. With data volumes exploding at a 28% CAGR and hybrid environments becoming the norm, organizations are facing significant challenges: those rapidly growing data volumes I mentioned, the intricacies of hybrid and cloud-native architectures, and the need for real-time insights. Oh, and don’t forget the constant threat of security breaches.

Think of it as your digital concierge to achieve faster time-to-value IT and security teams face more challenges than ever, with data growing at 28% CAGR and taking numerous shapes and forms. Cribl’s suite of products – Stream, Edge, Search, and Lake – is built on a unified data processing engine specifically designed for IT and security data.

Datadog’s pricing model is multifaceted, covering several key areas of observability. This analysis breaks down the pricing structure to help you understand potential costs for your organization. In this article we cover.

We’re excited to announce that as part of our expanded alliance with Sumo Logic, observIQ extended its support for Sumo’s platform. This allows customers to send logs and metrics to Sumo Logic, leveraging our telemetry pipeline, BindPlane. We’ve also made it possible to automatically recommend processors in our pipeline that format data specifically as Sumo Logic expects—once Sumo Logic is a destination for BindPlane.