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 - 叶小钗
Last Week in AI
Last Week in AI
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
V2EX
J
Java Code Geeks
The GitHub Blog
The GitHub Blog
博客园_首页
U
Unit 42
人人都是产品经理
人人都是产品经理
Engineering at Meta
Engineering at Meta
IT之家
IT之家
G
Google Developers Blog
L
LangChain Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
爱范儿
爱范儿
罗磊的独立博客
博客园 - 三生石上(FineUI控件)
Martin Fowler
Martin Fowler
Jina AI
Jina AI
有赞技术团队
有赞技术团队
Apple Machine Learning Research
Apple Machine Learning Research
Vercel News
Vercel News
小众软件
小众软件
H
Help Net Security

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
Forrester’s new Wave report and the consolidation of moni...
Michael Yamnitsky · 2019-04-26 · via Datadog | The Monitor blog
Michael Yamnitsky

Michael Yamnitsky

We’re thrilled to share that Datadog has been recognized by Forrester Research as a Leader in its report, The Forrester Wave™: Intelligent Application And Service Monitoring, Q2 2019.

Unlike previous industry analyst reports, which focused specifically on application performance or IT operations, this report gives a nod to the changing landscape, where customers want to have a unified view across all components of their software for faster problem detection and diagnosis. According to the report:

Previous generations of monitoring tools often focused on specific silos within the application or infrastructure environment… To meet rising customer expectations, operations leaders need new monitoring technologies that can provide a unified view of all components of a service, from application code to infrastructure.

In Datadog’s vendor profile, Rich Lane, Senior Analyst at Forrester Research and author of the report, wrote:

A unified dashboard keeps the practitioner in-context when troubleshooting performance issues… Customers noted that the solution (Datadog) gives them far greater visibility than previously deployed tools, allowing staff members, armed with precise troubleshooting data, to react faster.

The next wave of unified monitoring

The IASM Wave validates for us what we see in the field—a rising tide of consolidation in monitoring. As enterprises become more digital and agile, there is an acute focus on detecting and solving application issues quickly. To meet these new requirements, development and operations teams are at various stages of integrating or retiring single-purpose monitoring tools in favor of unified platforms.

For this report, Forrester evaluated 13 Intelligent Application and Service Monitoring (IASM) vendors across three main categories: current offering, strategy, and market presence. Datadog scored highest among all vendors in the strategy category. And in the time since the Forrester evaluation back in the fall of 2018, we have been hard at work delivering on our strategic goals. For example, this year we released Synthetics API Tests and Browser Tests to address our customers’ needs for monitoring user experiences. Looking forward, you can expect us to continue to push significant advances in this area.

Looking ahead

We are grateful to our customers who participated in this study and gave us their vote of confidence. We are committed to building a unified experience for our customers, and will continue to expand our service offerings to cover many adjacent areas that are important to them.

Upwards and onwards!