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Datadog Announces Support for Streaming Logs with Amazon Kinesis Data Firehose

Datadog announced support for ingesting log data via Amazon Kinesis Data Firehose, a solution from Amazon Web Services (AWS) that reliably loads streaming data into data lakes, data stores and analytics tools.

Customers can now send logs from Amazon CloudWatch and other services to Datadog without setting up and managing log forwarders in their environment.

Amazon Kinesis Data Firehose receives logs from services such as Amazon CloudWatch, Amazon API Gateway, AWS Lambda, and Amazon Elastic Compute Cloud (Amazon EC2) in one place, and routes them to third-party tools and systems. With support for Amazon Kinesis Data Firehose, Datadog allows customers to stream logs from AWS services to Datadog directly from the AWS Management Console and APIs.

This new capability will enable analysis of AWS log data within Datadog by utilizing new and existing Log Management features, including:

● Real-time visibility with Live Tail and dynamic indexing based on easy-to-create filters with Datadog’s Logging without Limits™.

● Automatic parsing and enrichment with additional metadata.

● Log Analytics for high cardinality analysis and generated metrics for understanding long-term trends.

● Correlation of log data with metrics and traces from other parts of your infrastructure.

"Our customers rely on Datadog to help them understand the security, performance and availability of their cloud infrastructure,” said Ilan Rabinovitch, Vice President, Product and Community at Datadog. “With support for this new feature, customers can now send their AWS logs and telemetry to Datadog without setting up any additional infrastructure, which will make analysis and troubleshooting within Datadog’s cloud monitoring platform easier.”

Doug Yeum, Head of Worldwide Channel and Alliances, at Amazon Web Services, said: “Combined with Amazon Kinesis Data Firehose, Datadog’s log management offering can help customers gain a better understanding of the availability and security of their cloud infrastructure.”

Customers can start streaming their AWS logs to Datadog today by navigating to the AWS Management Console and setting up a new Amazon Kinesis Data Firehose Delivery stream.

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Datadog Announces Support for Streaming Logs with Amazon Kinesis Data Firehose

Datadog announced support for ingesting log data via Amazon Kinesis Data Firehose, a solution from Amazon Web Services (AWS) that reliably loads streaming data into data lakes, data stores and analytics tools.

Customers can now send logs from Amazon CloudWatch and other services to Datadog without setting up and managing log forwarders in their environment.

Amazon Kinesis Data Firehose receives logs from services such as Amazon CloudWatch, Amazon API Gateway, AWS Lambda, and Amazon Elastic Compute Cloud (Amazon EC2) in one place, and routes them to third-party tools and systems. With support for Amazon Kinesis Data Firehose, Datadog allows customers to stream logs from AWS services to Datadog directly from the AWS Management Console and APIs.

This new capability will enable analysis of AWS log data within Datadog by utilizing new and existing Log Management features, including:

● Real-time visibility with Live Tail and dynamic indexing based on easy-to-create filters with Datadog’s Logging without Limits™.

● Automatic parsing and enrichment with additional metadata.

● Log Analytics for high cardinality analysis and generated metrics for understanding long-term trends.

● Correlation of log data with metrics and traces from other parts of your infrastructure.

"Our customers rely on Datadog to help them understand the security, performance and availability of their cloud infrastructure,” said Ilan Rabinovitch, Vice President, Product and Community at Datadog. “With support for this new feature, customers can now send their AWS logs and telemetry to Datadog without setting up any additional infrastructure, which will make analysis and troubleshooting within Datadog’s cloud monitoring platform easier.”

Doug Yeum, Head of Worldwide Channel and Alliances, at Amazon Web Services, said: “Combined with Amazon Kinesis Data Firehose, Datadog’s log management offering can help customers gain a better understanding of the availability and security of their cloud infrastructure.”

Customers can start streaming their AWS logs to Datadog today by navigating to the AWS Management Console and setting up a new Amazon Kinesis Data Firehose Delivery stream.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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