惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - 司徒正美
T
The Blog of Author Tim Ferriss
F
Fortinet All Blogs
Martin Fowler
Martin Fowler
罗磊的独立博客
The GitHub Blog
The GitHub Blog
L
LangChain Blog
A
About on SuperTechFans
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
D
DataBreaches.Net
宝玉的分享
宝玉的分享
U
Unit 42
阮一峰的网络日志
阮一峰的网络日志
Last Week in AI
Last Week in AI
N
Netflix TechBlog - Medium
The Cloudflare Blog
Microsoft Azure Blog
Microsoft Azure Blog
H
Help Net Security
美团技术团队
大猫的无限游戏
大猫的无限游戏
雷峰网
雷峰网
爱范儿
爱范儿
酷 壳 – CoolShell
酷 壳 – CoolShell
MongoDB | Blog
MongoDB | Blog

Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis
Announcing support for EKS Anywhere
Paul Gottschling, John Kendall · 2021-09-08 · via Datadog | The Monitor blog
Paul Gottschling

Paul Gottschling

Datadog Technical Content Writer

John Kendall

John Kendall

Amazon Elastic Kubernetes Service (EKS) is a cloud-based compute platform that includes a fully managed Kubernetes control plane in order to simplify cluster operations. AWS introduced EKS Anywhere to bring the operational ease of EKS to organizations that manage on-premise environments (e.g., to meet data sovereignty requirements). EKS Anywhere is released as an automation tool that launches an EKS Distro cluster with opinionated defaults on vSphere virtual machines, making it easier to get started with container orchestration.

With EKS Anywhere, teams can now use consistent tooling to operate and manage both cloud-based and on-premise EKS clusters. This makes EKS Anywhere a good fit for organizations that plan to migrate their on-premise Kubernetes deployments to the cloud, as well as organizations that usually run workloads on premises but want to deploy to AWS in order to handle bursts in traffic.

We are proud to announce that Datadog is a launch partner for EKS Anywhere. Datadog enables you to get full visibility into the health and performance of EKS Anywhere and cloud-based EKS workloads—and their underlying infrastructure, whether it’s running on premises or in the cloud.

Full visibility into EKS—wherever it runs

Whether you deploy your EKS clusters on your own data centers, to the cloud, or both, you need to monitor the resource usage and availability of both environments in order to keep your applications running as expected. With Datadog’s Kubernetes resources view (part of Live Containers), you can get real-time insights into the resource capacity and usage of your EKS and EKS Anywhere clusters, all in one platform.

In the example below, we are viewing pods from two EKS clusters: one hosted on premises (prod-11287-demo-cluster-west) and the other in the AWS cloud. While this view shows us that CPU and memory utilization for pods in each cluster are similar, if we run into capacity issues in our on-premise data centers, we can scale out our cloud-based EKS cluster until the issue subsides.

The Clusters view showing EKS clusters hosted in the cloud and on premises.

Get context from your on-premise infrastructure

While EKS Anywhere makes it easier to manage your on-premise Kubernetes deployments, you will still need to monitor your underlying infrastructure to prevent issues with scheduling your application pods. Datadog enables you to explore bespoke views of your EKS Anywhere deployments—and get full context around the vSphere VMs that host them—so you can investigate unavailable nodes, resource saturation, and other conditions that can stop EKS Anywhere from working as expected.

With Datadog, you can create custom dashboards to monitor Kubernetes metrics, such as the counts of available and desired pods, as well as vSphere metrics. For example, you can create a dashboard (as shown below) that graphs the number of vSphere VMs by regional data center, then graph the number of available Kubernetes nodes by region. If there are more VMs than Kubernetes nodes, you can investigate whether some kubelets running on your vSphere VMs have crashed—or failed to deploy due to a misconfiguration—causing the API server to register fewer nodes than expected.

A dashboard that includes vSphere and Kubernetes metrics together, plus a host map and container map.

EKS is anywhere—and so is Datadog

Datadog is well suited for monitoring EKS Anywhere as well as your cloud-based EKS deployments, giving you full visibility into your containerized workloads no matter where they run. You can quickly install Datadog in your EKS Anywhere and EKS clusters using our Helm chart.

Datadog integrates with vSphere—and other infrastructure technologies you might be deploying on Kubernetes, such as Cilium and CoreDNS—so you can visualize every layer of your EKS Anywhere environment. And with other features like Network Device Monitoring, you can get even deeper insight into the health of your on-premise infrastructure.

If you have not yet signed up for Datadog, you can get started today with a free trial.