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Operator vs. Helm: Finding the best fit for your Kubernetes applications

Sep 26, 2024 By Nicholas Thomson In Datadog
Kubernetes operators and Helm charts are both tools used for deploying and managing applications within Kubernetes clusters, but they have different strengths, and it can be difficult to determine which one to use for your application. Helm simplifies the deployment and management of Kubernetes resources using templates and version-controlled packages. It excels in scenarios where repeatable deployments and easy upgrades or rollbacks are needed.
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Integration roundup: Understanding email performance with Datadog

Sep 25, 2024 By Aaron Kaplan In Datadog
Visibility into email health and performance is indispensable to any organization seeking to reach its customers through their inboxes. As they work to curtail spam, internet service providers (ISPs) are redefining the standards of deliverability on an ongoing basis, and organizations often struggle to adapt.
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Get insights into service-level Fastly costs with Datadog Cloud Cost Management

Sep 24, 2024 By Natasha Goel In Datadog
As your organization scales its applications across many different cloud and SaaS providers, it becomes more challenging to understand your costs. You likely receive your bill at the end of the month, meaning you don’t have real-time visibility into who’s spending what and which services or applications your teams are spending the most on. Changing service costs also makes it difficult to break down your costs and identify what is driving spend, leaving you unable to take action.
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Optimize Ruby garbage collection activity with Datadog's allocations profiler

Sep 24, 2024 By Ivo Anjo In Datadog
One Ruby feature that embodies the principle of “optimizing for programmer happiness” is how the language uses garbage collection (GC) to automatically manage application memory. But as Ruby apps grow, GC itself can become a big consumer of system resources, and this can lead to high CPU usage and performance issues such as increased latency or reduced throughput.
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Best practices for monitoring and remediating connection churn

Sep 18, 2024 By Nicholas Thomson In Datadog
Elevated connection churn can be a sign of an unhealthy distributed system. Connection churn refers to the rate of TCP client connections and disconnections in a system. Opening a connection incurs a CPU cost on both the client and server side. Keeping those connections alive also has a memory cost. Both the memory and CPU overhead can starve your client and server processes of resources for more important work.
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Anthropic Partners with Datadog to Bring Trusted AI to All

Sep 12, 2024 By Datadog In Datadog
At Datadog’s 2024 DASH conference, Anthropic President and Co-Founder, Daniela Amodei, announced the new Anthropic integration with Datadog’s LLM Observability. This new native integration offers joint customers robust monitoring capabilities and suite of evaluations that assess the quality and safety of LLM applications. Get real time insights into performance and usage, with full visibility into the end to end LLM trace. Enabling you to troubleshoot any issues, reduce downtime and get your Claude powered applications to market faster.
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Key learnings from the State of Cloud Costs study

Sep 9, 2024 By Kayla Taylor In Datadog
We recently released our initial State of Cloud Costs report, which identified factors shaping the costs of hundreds of organizations that use Datadog Cloud Cost Management to monitor their AWS spend. The report reveals several widely applicable themes, including the ways in which resource utilization, adoption of emerging technologies, and participation in commitment-based discount programs all shape cloud environments and costs.
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Monitor Oracle Cloud Infrastructure with Datadog

Sep 5, 2024 By Bowen Chen In Datadog
Oracle Cloud Infrastructure (OCI) provides cloud infrastructure and platform services designed to support a broad spectrum of cloud strategies and workloads. OCI provides enterprise customers with scale-up resource scaling architectures, ultra-low-latency networks, and more to help them migrate legacy workloads to the cloud, while supporting cloud-native applications via an expansive network of cloud partners and services.
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