Datadog Releases Trace Search and Analytics
July 12, 2018
Share this

Datadog announced the availability of Trace Search and Analytics, a new capability that allows engineers to explore, graph, and correlate high cardinality application performance data.

With Trace Search and Analytics, users can pinpoint exact traces for specific customers by filtering on key business and application attributes such as usernames, customer, host, domain SKUs, dollar value, etc.

Datadog’s Trace Search and Analytics offers a search-engine-like experience where results update in real-time as a user types in their search criteria. This is a significant speed advantage when sifting through application data during an outage. Notably, using this search capability does not require writing in a specialized query language, allowing any user to explore trace data on-the-fly immediately.

Furthermore, the search results can also be quantified, graphed, and compared using these same attributes without limits of cardinality.

Lastly, trace search results are tightly integrated with performance data from logs and infrastructure metrics so users can correlate a specific trace to the performance of the underlying application infrastructure to pinpoint the root cause of an issue.

“Trace Search and Analytics is the next evolution of Datadog’s APM Product and is a direct response to our customers’ need to quickly find specific traces to determine the root cause of an incident,” said Brad Menezes, Director of Product Management at Datadog. “I’ve been excited to watch users adopt this functionality and change their daily workflow -- it makes it clear that the ability to slice and dice application metrics on-the-fly without cardinality limitations is a killer feature for customers.”

Trace Search and Analytics is now available within Datadog for all existing customers and new users.

Datadog also announced Watchdog, a machine learning based autonomous monitoring capability, and Logging Without Limits, new capabilities that completely change how logs are used by DevOps teams.

Share this

The Latest

May 16, 2019

Although the vast majority of IT organizations have implemented a broad variety of systems and tools to modernize, simplify and streamline data center operations, many are still burdened by inefficiencies, security risks and performance gaps in their IT infrastructure as well as the excessive time it takes to manage legacy infrastructure, according to the State of IT Transformation, a report from Datrium ...

May 15, 2019

When it comes to network visibility, there are a lot of discussions about packet broker technology and the various features these solutions provide to network architects and IT managers. Packet brokers allow organizations to aggregate the data required for a variety of monitoring solutions including network performance monitoring and diagnostic (NPMD) platforms and unified threat management (UTM) appliances. But, when it comes to ensuring these solutions provide the insights required by NetOps and security teams, IT can spend an exorbitant amount of time dealing with issues around adds, moves and changes. This can have a dramatic impact on budgets and tool availability. Why does this happen? ...

May 14, 2019

Data may be pouring into enterprises but IT professionals still find most of it stuck in siloed departments and weeks away from being able to drive any valued action. Coupled with the ongoing concerns over security responsiveness, IT teams have to push aside other important performance-oriented data in order to ensure security data, at least, gets prominent attention. A new survey by Ivanti shows the disconnect between enterprise departments struggling to improve operations like automation while being challenged with a siloed structure and a data onslaught ...

May 13, 2019

A subtle, deliberate shift has occurred within the software industry which, at present, only the most innovative organizations have seized upon for competitive advantage. Although primarily driven by Artificial Intelligence (AI), this transformation strikes at the core of the most pervasive IT resources including cloud computing and predictive analytics ...

May 09, 2019

When asked who is mandated with developing and delivering their organization's digital competencies, 51% of respondents say their IT departments have a leadership role. The critical question is whether IT departments are prepared to take on a leadership role in which collaborating with other functions and disseminating knowledge and digital performance data are requirements ...

May 08, 2019

The Economist Intelligence Unit just released a new study commissioned by Riverbed that explores nine digital competencies that help organizations improve their digital performance and, ultimately, achieve their objectives. Here's a brief summary of 7 key research findings you'll find covered in detail in the report ...

May 07, 2019

Today, the overall customer scenario has digitally transformed and practically there is no limitation to the ways in which the target customers can be reached. These opportunities are throwing multiple challenges for brands and enterprises, and one of the prominent ones is to ensure Omni Channel experience for customers ...

May 06, 2019

Most businesses (92 percent of respondents) see the potential value of data and 36 percent are already monetizing their data, according to the Global Data Protection Index from Dell EMC. While this acknowledgement is positive, however, most respondents are struggling to properly protect their data ...

May 02, 2019

IT practitioners are still in experimentation mode with artificial intelligence in many cases, and still have concerns about how credible the technology can be. A recent study from OpsRamp targeted these IT managers who have implemented AIOps, and among other data, reports on the primary concerns of this new approach to operations management ...

May 01, 2019

NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI / ML infrastructures of any size. There are several AI / ML focused use cases to highlight ...