February 2022 Summaries

When managing infrastructure or applications, logging is crucial to understand what's happening within environments. However, teams often make mistakes when deciding what to log, how to log it, and how to work with their log data. Common errors include ignoring important logs, failing to collect ephemeral logs, misconfiguring log levels, only using command line tools for log analysis, retaining logs indefinitely, storing them inefficiently, and not adapting the log management strategy as the environment changes. These mistakes can lead to observability blindspots, poor visibility, and wasted resources. To improve logging efficiency and effectiveness, teams should collect all relevant logs, set strategic log levels, use full-scale log management tools, retain logs based on specific criteria, store them efficiently, and continuously evaluate and update their strategy as needed.

Make Your AWS Data Lake Deliver is a webinar that explores the underlying philosophy and bleeding-edge technology driving a new generation of productive and efficient data lakes powered by cost-effective Amazon S3 storage. The webinar features insights from industry leaders, including Kevin Miller, Vice President and General Manager of Amazon S3, Mark Hill, Senior Director of IT Operations at Digital River, Thomas Hazel, Founder and CTO at ChaosSearch, and Ed Walsh, CEO at ChaosSearch. The discussion covers the challenges and opportunities of modern data lakes, the impact on cloud-first businesses, and the future of cloud object storage. Key points include the adoption of Amazon S3 as a de facto standard for modern data lake storage, the need for data governance and analytical tools to unlock insights, and the benefits of leveraging ChaosSearch to transform cloud object storage into a hot data lake with no ETL process, no data movement, and no data retention trade-offs.

To get started with ChaosSearch, users can begin at the ChaosSearch home page and click the "Start Free Trial" button to register for a free trial account. The process involves connecting an AWS account with ChaosSearch using an automated integration template, creating an S3 bucket, and defining object groups to filter data logically. After finalizing these steps, users can create their first index using ChaosSearch, which involves navigating to the Storage tab, choosing an S3 bucket, and applying filters and transformations as needed. Once an index is created, users can transform their data and create views with Chaos Refinery, a feature that allows for logical transformations without modifying the source data. Finally, users can visualize and dashboard their data using Kibana, which provides real-time insights into their data. With its streamlined trial experience, ChaosSearch enables users to activate their AWS data storage as a data lake for multi-API analytics in just a few minutes.