Articles by Tom Grabowski
Principal Product Manager, Elastic
Enhancing SRE troubleshooting with the AI Assistant for Observability and your organization's runbooks
Empower your SRE team with this guide to enriching Elastic's AI Assistant Knowledge Base with your organization's internal observability information for enhanced alert remediation and incident management.
Elastic Observability 8.9: Introducing AI Assistant and up to 70% cost savings on metrics storage!
Elastic Observability 8.9 introduces new AI Assistants for APM, logs, hosts, alerts, and profiling. In addition, new Time Series Data Stream (TSDS)-ready Elastic Agent integrations unlock storage efficiencies optimizing storage cost by up to 70%.
Elastic Observability 8.8: Efficient operations with GitOps-based synthetics monitoring and direct AWS Firehose ingest
Elastic Observability 8.8 delivers the general availability release of synthetic monitoring, the ability to ingest data directly to Elastic Cloud from Amazon Kinesis Firehose, and new capabilities for managing service level objectives.
Using AIOps for automation and efficiency in observability and IT operations
Common use cases and scenarios for a successful AIOps deployment within observability. From monitoring to anomaly detection and root cause analysis, understand how you can improve your AIOps deployment and see success.
Introduction to modern natural language processing with PyTorch in Elasticsearch
In 8.0, you can now upload PyTorch machine learning models into Elasticsearch to provide modern natural language processing (NLP). Integrate one of the most popular formats for building NLP models and incorporate them as part of a NLP data pipeline.
Detecting rare and unusual processes with Elastic machine learning
To secure your environment, Elastic Security has many out-of-the-box machine learning configurations for detecting rare activity, networks, and processes, as well as tools to customize your own anomaly detection jobs.