|
At this time 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 signifies 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, so as to run analytics, not solely domestically but additionally utilizing Amazon Athena, Amazon SageMaker Unified Studio, or some other Iceberg-compatible software.
You can even 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 Non-public Cloud (Amazon VPC) Movement Logs, AWS WAF entry logs, Amazon Route 53 resolver logs, and pre-built connectors for third-party sources equivalent to 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 presents managed OCSF conversion for varied AWS and third-party knowledge sources and different processors equivalent to Grok for customized parsing, field-level operations, and string manipulations.
- Cut back pricey 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 advanced ETL pipelines and reduces your operational prices and administration overhead wanted to take care of a number of separate knowledge shops and instruments.
- Uncover enterprise insights from log knowledge – You may run queries in CloudWatch utilizing pure language queries and fashionable question languages equivalent to 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, software, account, area, and log kind, 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 may 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 below 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, sorts, and fields. CloudWatch ingests and robotically categorizes knowledge sources by AWS companies, third-party, or customized sources equivalent to software logs.
Select the Knowledge supply actions to combine S3 Tables to make future logs for chosen knowledge sources. You’ve gotten the flexibleness to investigate the logs by Athena and Amazon Redshift and different question engines equivalent to Spark utilizing Iceberg suitable entry patterns. With this integration, logs from CloudWatch can be found in a read-only aws-cloudwatch S3 Tables bucket.
Whenever you select a particular knowledge supply equivalent to CloudTrail knowledge, you possibly can view the main points of the info supply that features data concerning knowledge format, pipeline, aspects/subject indexes, S3 Tables affiliation, and the variety of logs with that knowledge supply. You may observe all log teams included on this knowledge supply and kind and edit a supply/kind subject index coverage utilizing the brand new schema help.
To be taught 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 may create pipelines to streamline gathering, reworking, 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 list of knowledge sources, so as to add and configure pipeline processors from a library to parse, enrich, and standardize knowledge.
Within the Pipeline tab, select Add pipeline. It reveals 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 equivalent to log supply sorts, configure vacation spot, configure as much as 19 processors to carry out an motion in your knowledge (equivalent to filtering, reworking, or enriching), and at last evaluate and deploy the pipeline.
You even have the choice to create pipelines by the brand new Ingestion expertise in CloudWatch. To be taught 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 may 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 below the Logs menu within the left navigation pane. You may view accessible 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 Movement Logs group and motion, question to listing the 5 most frequent patterns in my VPC Movement Logs by the AI question generator, and get the end result patterns.
It can save you your question with the chosen Aspects and values that you’ve got specified. Whenever you subsequent select your saved question, the logs to be queried have the pre-specified aspects and values. To be taught 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 site visitors with AWS API exercise from a particular IP vary (174.163.137.*) by becoming a member of VPC Movement 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 conduct detection. You may view if an IP that’s making community connections can be performing delicate AWS operations equivalent to creating customers, modifying safety teams, or accessing knowledge.
To be taught extra, go to S3 Tables integration with CloudWatch within the CloudWatch Logs Person Information.
Now accessible
New log administration options of Amazon CloudWatch can be found at this time 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 be taught extra, go to the CloudWatch pricing web page.
Give it a attempt within the CloudWatch console. To be taught extra, go to the CloudWatch product web page and ship suggestions to AWS re:Publish for CloudWatch Logs or by your regular AWS Assist contacts.
— Channy
