Operations | Monitoring | ITSM | DevOps | Cloud

Your applications are only as powerful as they are iterable. To keep up with their rapidly changing production environments, your teams need reliable CI/CD systems that implement best practices—including build and test automation, flaky test management, and deployment management. By optimizing their CI/CD pipelines, your teams can build their apps more efficiently, deploy them more safely, and catch bugs and security vulnerabilities before they make it to production.

Large-scale organizations typically collect and manage millions of logs a day from various services. Within these orgs, many different teams may set up processing pipelines to modify and enrich logs for security monitoring, compliance audits, and DevOps. Datadog Log Pipeline let you ingest logs from your entire stack, parse and enrich them with contextual information, add tags for usage attribution, generate metrics, and quickly identify log anomalies.

When your apps and infrastructure rely on dozens of third-party providers for key functionality, it’s important to closely track their outages. If a service you rely on goes down, you need to move quickly to limit the outage’s impact on your users. IsDown provides a detailed status page aggregator and uptime monitoring for all your third-party dependencies.

Steadybit is a software reliability platform that uses chaos engineering and fault injection to help organizations improve the stability and performance of their applications. By allowing customers to simulate turbulent scenarios in a controlled environment, Steadybit enables you to identify and mitigate potential system issues to reduce downtime and improve resilience.

In a previous blog post, we explained how containers’ CPU and memory requests can affect how they are scheduled. We also introduced some of the effects CPU and memory limits can have on applications, assuming that CPU limits were enforced by the Completely Fair Scheduler (CFS) quota. In this post, we are going to dive a bit deeper into CPU and share some general recommendations for specifying CPU requests and limits.

Whether or not you made the journey to this year’s re:Invent, there’s always a variety of great announcements lost amid an action-packed week of keynotes, breakouts, expo hall demos, and networking sessions. No need to worry—we’re always happy to be a big part of the re:Invent experience and share our observations with you.

For too long, engineers have had to piece together an unwieldy combination of tools to collaboratively debug and resolve incidents while pair programming in real time. These activities normally require developers to work individually through a terminal, but the patchwork solutions that allow teams to work together in terminals all have significant drawbacks.

Amazon Simple Storage Service (S3) now offers a high-performance storage class, S3 Express One Zone, that delivers consistent single-digit millisecond data access for your most latency-sensitive applications. Designed for your most frequently accessed datasets, S3 Express One Zone replicates and stores your data within a single AWS Availability Zone, scales to process millions of requests per minute, and uses hardware and software optimized for low latency.

As an administrator of an expanding, highly distributed infrastructure, you may be responsible for overseeing thousands of on-premise and cloud resources from multiple providers—governed under dozens of accounts by a complex nest of RBAC rules. To query all these resources for purposes such as compliance audits and access management, you may be required to write custom scripts and painstakingly sift through data across disparate tools.