This will bring your OpsWorks server up with its public endpoint being the custom domain you specified. You then create a new server from the backup through a CreateServer API call, where you provide the backup id together with the three new input parameters: custom domain, custom certificate and custom private key. If you already have an OpsWorks server in use and want to use your own domain, you will first need to create a backup of your OpsWorks server through the CreateBackup API. By using a custom domain with an SSL certificate that you manage, you have an endpoint that stays the same regardless of the server being re-created: any node under management by the OpsWorks for Chef Automate server will stay associated through this endpoint.
Also, this will now be the public endpoint of your OpsWorks server. After you have created a Canonical Name (CNAME) entry in your DNS management service to point to the internal OpsWorks endpoint, you will find your Chef Automate Dashboard under a domain of your choice instead of the generic OpsWorks-created one. Through the existing interfaces you can now provide a custom fully qualified domain name (FQDN), its matching SSL certificate, and SSL private key and have the OpsWorks server configured accordingly. You can also use CloudWatch Synthetics to isolate alarming application endpoints and map them back to underlying infrastructure issues to reduce mean time to resolution.ĪWS OpsWorks for Chef Automate now supports custom domains. These tests can be customized to check for availability, latency, transactions, broken or dead links, step by step task completions, page load errors, load latencies for UI assets, complex wizard flows, or checkout flows in your applications. CloudWatch Synthetics runs tests on your endpoints every minute, 24x7, and alerts you when your application endpoints don’t behave as expected.
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CloudWatch Synthetics supports monitoring of your REST APIs, URLs, and website content, checking for unauthorized changes from phishing, code injection and cross-site scripting. With this new feature, CloudWatch now collects canary traffic, which can continually verify your customer experience even when you don’t have any customer traffic on your applications, enabling you to discover issues before your customers do. AWS Graviton2 processors also support custom hardware acceleration for compression workloads, and optimized instructions for faster CPU-based machine learning inference.Īmazon CloudWatch Synthetics allows you to monitor application endpoints more easily. Additionally, they feature always-on fully encrypted DDR4 memory to further enhance security and 50% faster per core encryption performance. AWS Graviton2 processors deliver several performance optimizations over the first generation AWS Graviton processors such as 7x performance, 4x the number of compute cores, 2x larger private caches per core, 5x faster memory, and 2x faster floating-point performance per core. These instances are powered by new AWS Graviton2 processors that use 64-bit Arm Neoverse cores and custom silicon designed by AWS, built using advanced 7 nanometer manufacturing technology. The new general purpose (M6g), compute optimized (C6g), and memory optimized (R6g) Amazon EC2 instances deliver up to 40% improved price/performance over current generation M5, C5, and R5 instances for a broad spectrum of workloads including application servers, open source databases, in-memory caches, microservices, gaming servers, electronic design automation, high-performance computing, and video encoding.
To learn more, visit the Integration page in the Security Hub console and click on the "Configuration" link for Amazon Detective. AWS Security Hub automatically enables this integration for customers that are whitelisted in Amazon Detective's gated public preview, but you first need to sign up and get access for Amazon Detective's preview. DNS-related findings are not supported in this initial integration release.
The initial AWS Security Hub integration with Amazon Detective allows you to pivot from Amazon GuardDuty findings in Security Hub directly into Amazon Detective to investigate them. Amazon Detective automatically collects log data from your AWS resources and uses machine learning, statistical analysis, and graph theory to help you visualize and conduct faster and more efficient security investigations.
Amazon Detective makes it easy to analyze, investigate, and quickly identify the root cause of security findings or suspicious activities. AWS Security Hub now integrates with Amazon Detective (preview).
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