Tags are essential for aggregating and contextualizing monitoring data across your infrastructure; they enable you to monitor your entire system at a high level, drill down to individual services for more comprehensive analysis, and easily correlate data from every application component. Implementing a consistent and effective tag schema for your applications can be challenging, especially as they grow in complexity.
xMatters provides flexible, smart tools for incident response and management. With configurable workflows that bring together data from sources like Github, Jenkins, and Zendesk, you can automate crucial tasks and send enriched notifications to streamline team communications.
Health and performance issues are easier to understand—and to troubleshoot—when you can use tags to aggregate your data across many overlapping scopes. But while some scopes come directly from your infrastructure, others are constantly evolving to reflect the needs of your product or organization. You can only track your data effectively if you can define—and redefine—your scopes on the fly.
Kubernetes audit logs contain detailed information about every request to the Kubernetes API server and are critical to detecting misconfigurations and vulnerabilities in your clusters. But because even a small Kubernetes environment can rapidly generate lots of audit logs, it’s very difficult to manually analyze them.
AWS Step Functions is a service that abstracts distributed applications into state machines, with each state representing a component of an application. Not only does this automatically generate an architectural diagram of your application’s workflow, it also makes it straightforward to reorder your states as well as implement parallel execution, retries, and other tasks.
Amazon’s Bottlerocket is a new Linux-based open-source operating system that’s designed with containers in mind. Bottlerocket is optimized and stripped down to only the essential software needed to run containers. You can apply updates to Bottlerocket in a single step, and roll them back instantly if necessary. And, because it’s open-source, you can customize the operating system to fit your specific needs.
Public sector organizations face a unique challenge when it comes to the cloud: how can they successfully migrate their operations while maintaining an air-tight, heavily regulated, massively distributed environment? To solve this problem, Amazon created the AWS GovCloud (US), two isolated Regions in the AWS ecosystem that are only accessible to US customers who meet strict security and compliance standards.
Running Kubernetes applications requires visibility into not only the overall performance of clusters but also the health of individual pods, deployments, and other resources that make up your environment. Datadog already integrates with your containerized environments and includes features like the Live Container view and the Container Map, enabling you to easily monitor Kubernetes and container runtime performance in real time and get deep visibility into clusters.
Governance, risk, and compliance (GRC) are major inhibitors for organizations moving to the cloud—and for good reason. Cloud environments are complex, and even a single misconfigured security group can result in a serious data breach. In fact, asset misconfigurations were the leading cause of cloud security breaches in 2019. This puts a lot of pressure on developer and operations teams to properly secure their services and maintain regulatory compliance.
When your application experiences an outage, the tools your team uses to manage its response can make all the difference in how quickly they resolve the problem and avoid it in the future. An effective incident management workflow depends on accessible, integrated tools as well as clear, direct channels of communication. And, even after the matter’s been resolved, documentation and analysis of an outage is vital to ensuring it never happens again.
