At present we’re increasing Amazon CloudWatch capabilities to unify and handle log knowledge throughout operational, safety, and compliance use instances with versatile and highly effective analytics in a single place and with diminished knowledge duplication and prices.
This enhancement implies that CloudWatch can robotically normalize and course of knowledge to supply consistency throughout sources with built-in help for Open Cybersecurity Schema Framework (OCSF) and Open Telemetry (OTel) codecs, so you possibly can deal with analytics and insights. CloudWatch additionally introduces Apache Iceberg suitable entry to your knowledge by Amazon Easy Storage Service (Amazon S3) Tables, in an effort to run analytics, not solely domestically but additionally utilizing Amazon Athena, Amazon SageMaker Unified Studio, or some other Iceberg-compatible software.
You too can correlate your operational knowledge in CloudWatch with different enterprise knowledge out of your most popular instruments to correlate with different knowledge. This unified strategy streamlines administration and offers complete correlation throughout safety, operational, and enterprise use instances.
Listed here are the detailed enhancements:
- Streamline knowledge ingestion and normalization – CloudWatch robotically collects AWS vended logs throughout accounts and AWS Areas, integrating with AWS Organizations from AWS companies together with AWS CloudTrail, Amazon Digital Personal Cloud (Amazon VPC) Circulation Logs, AWS WAF entry logs, Amazon Route 53 resolver logs, and pre-built connectors for third-party sources reminiscent of endpoint (CrowdStrike, SentinelOne), identification (Okta, Entra ID), cloud safety (Wiz), community safety (Zscaler, Palo Alto Networks), productiveness and collaboration (Microsoft Workplace 365, Home windows Occasion Logs, and GitHub), together with IT service supervisor with ServiceNow CMBD. To normalize and course of your knowledge as they’re being ingested, CloudWatch affords managed OCSF conversion for varied AWS and third-party knowledge sources and different processors reminiscent of Grok for customized parsing, field-level operations, and string manipulations.
- Scale back expensive log knowledge administration – CloudWatch consolidates log administration right into a single service with built-in governance capabilities with out storing and sustaining a number of copies of the identical knowledge throughout completely different instruments and knowledge shops. The unified knowledge retailer of CloudWatch eliminates the necessity for complicated ETL pipelines and reduces your operational prices and administration overhead wanted to keep up a number of separate knowledge shops and instruments.
- Uncover enterprise insights from log knowledge – You’ll be able to run queries in CloudWatch utilizing pure language queries and widespread question languages reminiscent of LogsQL, PPL, and SQL by a single interface, or question your knowledge utilizing your most popular analytics instruments by Apache Iceberg-compatible tables. The brand new Aspects interface offers you intuitive filtering by supply, utility, account, area, and log sort, which you need to use to run queries throughout log teams of a number of AWS accounts and Areas with clever parameter inference.
Within the subsequent sections we discover the brand new log administration and analytics options of the CloudWatch Logs!
1. Knowledge discovery and administration by knowledge sources and kinds
You’ll be able to see a high-level overview of logs and all knowledge sources with a brand new Logs Administration View within the CloudWatch console. To get began, go to the CloudWatch console and select Log Administration underneath the Logs menu within the left navigation pane. Within the Abstract tab, you possibly can observe your logs knowledge sources and kinds, insights into how your log teams are doing throughout ingestion, and anomalies.
Select the Knowledge sources tab to search out and handle your log knowledge by knowledge sources, varieties, and fields. CloudWatch ingests and robotically categorizes knowledge sources by AWS companies, third-party, or customized sources reminiscent of utility logs.
Select the Knowledge supply actions to combine S3 Tables to make future logs for chosen knowledge sources. You’ve gotten the pliability to research the logs by Athena and Amazon Redshift and different question engines reminiscent of Spark utilizing Iceberg suitable entry patterns. With this integration, logs from CloudWatch can be found in a read-only aws-cloudwatch S3 Tables bucket.
Once you select a selected knowledge supply reminiscent of CloudTrail knowledge, you possibly can view the small print of the info supply that features info concerning knowledge format, pipeline, aspects/subject indexes, S3 Tables affiliation, and the variety of logs with that knowledge supply. You’ll be able to observe all log teams included on this knowledge supply and kind and edit a supply/sort subject index coverage utilizing the brand new schema help.
To study extra about the way to handle your knowledge sources and index coverage, go to Knowledge sources within the Amazon CloudWatch Logs Person Information.
2. Ingestion and transformation utilizing CloudWatch pipelines
You’ll be able to create pipelines to streamline accumulating, remodeling, and routing telemetry and safety knowledge whereas standardizing knowledge codecs to optimize observability and safety knowledge administration. The brand new pipeline characteristic of CloudWatch connects knowledge from a listing of knowledge sources, in an effort to add and configure pipeline processors from a library to parse, enrich, and standardize knowledge.
Within the Pipeline tab, select Add pipeline. It exhibits you the pipeline configuration wizard. This wizard guides you thru 5 steps the place you possibly can select the info supply and different supply particulars reminiscent of log supply varieties, configure vacation spot, configure as much as 19 processors to carry out an motion in your knowledge (reminiscent of filtering, remodeling, or enriching), and at last assessment and deploy the pipeline.
You even have the choice to create pipelines by the brand new Ingestion expertise in CloudWatch. To study extra about the way to arrange and handle the pipelines, go to Pipelines within the Amazon CloudWatch Logs Person Information.
3. Enhanced analytics and querying primarily based on knowledge sources
You’ll be able to improve analytics with help for Aspects and querying primarily based on knowledge sources. Aspects allow interactive exploration and drill-down into logs and their values are robotically extracted primarily based on the chosen time interval.
Select the Aspects tab within the Log Insights underneath the Logs menu within the left navigation pane. You’ll be able to view out there aspects and values that seem within the panel. Select a number of aspects and values to interactively discover your knowledge. I select Aspects concerning a VPC Circulation Logs group and motion, question to checklist the 5 most frequent patterns in my VPC Circulation Logs by the AI question generator, and get the consequence patterns.
It can save you your question with the chosen Aspects and values that you’ve specified. Once you subsequent select your saved question, the logs to be queried have the pre-specified aspects and values. To study extra about Side administration, go to Aspects within the CloudWatch Logs Person Information.
As I beforehand famous, you possibly can combine knowledge sources into S3 Tables and question collectively. For instance, utilizing a Question Editor in Athena, you possibly can question correlates community visitors with AWS API exercise from a selected IP vary (174.163.137.*) by becoming a member of VPC Circulation Logs with CloudTrail logs primarily based on matching supply IP addresses.
Any such built-in search is especially priceless for safety monitoring, incident investigation, and suspicious habits detection. You’ll be able to view if an IP that’s making community connections can also be performing delicate AWS operations reminiscent of creating customers, modifying safety teams, or accessing knowledge.
To study extra, go to S3 Tables integration with CloudWatch within the CloudWatch Logs Person Information.
Now out there
New log administration options of Amazon CloudWatch can be found immediately in all AWS Areas besides the AWS GovCloud (US) Areas and China Areas. For Regional availability and future roadmap, go to the AWS Capabilities by Area. There aren’t any upfront commitments or minimal charges, and also you pay for the utilization of current CloudWatch Logs for knowledge ingestion, storage, and queries. To study extra, go to the CloudWatch pricing web page.
Give it a attempt within the CloudWatch console. To study extra, go to the CloudWatch product web page and ship suggestions to AWS re:Submit for CloudWatch Logs or by your normal AWS Assist contacts.
— Channy
