Datadog – Digital IT News

Security Inbox Enhanced by Datadog for Quick Issue Resolution

Taylor Graham — Mon, 27 Nov 2023 13:30:08 +0000

During AWS re:Invent, Datadog, Inc. added identity, vulnerability, and app-level findings into the Security Inbox. This enhancement offers engineers a unified, actionable perspective to enhance security without added complexity. By introducing these features, Datadog advances cloud security in the software development lifecycle, enabling proactive issue resolution for developers and security teams.

Datadog’s Security Inbox delivers a unified view of the top issues DevOps and security teams need to address to significantly reduce risk across cloud accounts, Kubernetes clusters, containers, and applications. With the capabilities announced today, Datadog helps proactively detect and address identity and access-related risks with the general availability of its Cloud Infrastructure and Entitlement Management (CIEM). And Security Inbox’s new vulnerability management capability detects, prioritizes—based on heuristics like exposure risk, probability of being exploited and all observability context—and helps remediate infrastructure vulnerabilities in hosts, containers and applications.

“Security Inbox gives DevOps and security teams a prioritized list of actionable fixes they can deploy to maximize improvements to their security posture,” said Prashant Prahlad, VP of Cloud Security Products at Datadog. “With the added capabilities to Security Inbox, engineers can now proactively mitigate issues without requiring the security teams to inform them about the urgency or the impact of their security fixes. Meanwhile, security teams continue to save precious time lost to tedious contextualization and triage work, and can choose to focus on overall security posture of their cloud estates.”

With the new capabilities announced today, Security Inbox gives organizations:

Full App-to-Infrastructure Visibility: Security Inbox unifies findings collected by Datadog Cloud Security Management and Application Security Management into a single view, simplifying the process of managing security issues.
Context-Based Prioritization: The capability incorporates context from potential suspicious activity detected from cloud logs, application traces or file and process activity detected on the host, enabling teams to concentrate on issues with a high likelihood of impact.
Correlation and Attack Path Detection: Datadog uses agentless cloud integrations, one agent and tracing libraries to map the relationships between an organization’s entire stack, spanning from cloud resources and compute resources to applications. When a combination of risks suggesting a potential attack path in the environment is detected, a security issue is generated and displayed in Security Inbox.

These features are now generally available. To learn more, read the Datadog blog, Easily identify and prioritize your top security risks with Datadog Security Inbox here.

Datadog’s Report Finds Major Growth of Container-Based Serverless Platforms

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Datadog’s Report Finds Major Growth of Container-Based Serverless Platforms

Digital IT News Editors — Tue, 29 Aug 2023 00:17:51 +0000

Datadog, announced the results of its annual State of Serverless report. The 2023 report—which analyzes telemetry across Datadog’s global customer base—found that the serverless ecosystem continues to grow and evolve, particularly as organizations extend their use of container-based applications hosted in serverless environments. As of this year, more than 70% of Datadog’s AWS customers, 60% of Google Cloud customers and almost 50% of Azure customers are using one or more serverless solutions.

While FaaS (Function-as-a-Service) such as AWS Lambda remained the most common type of workload in 2023, the growth of container-based serverless platforms is outpacing overall serverless growth in each major cloud. Azure saw the largest spike in container-based serverless platform adoption with 76% growth year-over-year. Container-based serverless compute platforms have grown more popular because they simplify serverless adoption and migration. This trend in the major clouds reflects that organizations are viewing serverless as a mainstay and identifying valuable use cases for it outside of traditional FaaS offerings.

“There is significant adoption of serverless technologies across all major clouds. We expect the pace of adoption will only increase as more organizations embrace container-based platforms, which have become the serverless ecosystem’s primary growth driver,” said Yrieix Garnier, VP of Product at Datadog. “With more serverless solutions available across and within cloud platforms, serverless can now meet a greater variety of use cases. We are also seeing serverless in the general infrastructure and architectural best practices at organizations, which speaks to the staying power of serverless technologies.”

For more information visit the website here.

The State of Serverless report is available now. For the full results, please visit: https://www.datadoghq.com/state-of-serverless/

Datadog Expands Application Security Capabilities Uncovering Vulnerabilities

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Datadog Launches Flex Logs, a New Tier for Log Management

Taylor Graham — Fri, 04 Aug 2023 13:00:17 +0000

Datadog, Inc. announced Flex Logs, a new tier for log management. Built on top of Datadog’s Husky technology, Flex Logs enables organizations to retain and query high-volume data that has traditionally been cost prohibitive to use for observability.

Traditional log management solutions use “Indexing” to provide users with alerts, dashboards and other query capabilities that are suited for detecting and resolving real-time security and observability issues in applications. While these solutions work well for investigating immediate problems, they are cost prohibitive in many scenarios where engineers want to store and analyze massive volumes of logs over long periods of time for problems such as intermittent network issues, usage trends, seasonal patterns, security forensics and auditing.

Flex Logs enables organizations to retain massive volumes of data that they would previously not collect or store because of high costs. This new capability works alongside Datadog’s standard indexing so users have the flexibility to choose which logs are indexed for real-time alerts and dashboards, and which are stored for long-term querying use cases. With Flex Logs, teams also have control over their level of computational power needed so they can provision for thousands of users making a large number of queries, or control costs for a small number of users who only query occasionally.

“As application complexity grows, so do log volumes. Organizations need to improve their visibility into these logs while staying within a reasonable budget,” said Michael Whetten, VP of Product at Datadog. “Flex Logs introduces Datadog’s easy-to-use Log Management platform to more teams—from IT troubleshooting to policy compliance and business analytics—in a cost-effective and scalable way so that they can store and take action on all their logs.”

With Flex Logs, Datadog customers will benefit from:

Better ROI: Teams can optimize compute to match the needs of users for investigations, compliance audits, security investigations and more.
Instant access to historical data: Engineering and security teams can investigate old issues without needing to perform a rehydration.
Predictable growth: As logging volumes grow, organizations can ramp up compute separately from storage in order to manage their budgets in a predictable way.
Unified observability: Datadog’s unified platform enriches logs by automatically integrating and correlating different types of data from application metrics and security sources so that organizations have a unified view of their observability data.

Flex Logs is available starting at $0.05 per million logs per month for storage. Small, medium and large compute sizes are available at a fixed monthly cost. To learn more about Datadog Log Management, visit the website HERE.

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Datadog Expands Application Security Capabilities Uncovering Vulnerabilities

Taylor Graham — Thu, 20 Apr 2023 19:42:49 +0000

Datadog, Inc. announced the general availability of Application Vulnerability Management, which expands Datadog’s application security capabilities by automatically uncovering and prioritizing the most important vulnerabilities in open-source libraries.

According to Forrester, open-source code makes up at least 70% of all software. While open-source libraries accelerate software delivery, they increase security risk if the vulnerabilities associated with them are not well understood. Vulnerabilities and exposures are projected to rise to almost 2,000 a month in 2023, so security teams will need the ability to understand vulnerabilities quickly in order to prioritize and remediate them.

Traditional application security offerings overwhelm teams with a large number of vulnerabilities with no business context. Datadog’s Application Vulnerability Management enables organizations to continuously identify and manage vulnerabilities in open source libraries in use within their applications. Using real-time data from Datadog’s observability platform, Application Vulnerability Management prioritizes these identified vulnerabilities with context from all impacted services, workloads and infrastructure resources. This allows DevOps, security and engineering teams to work together and resolve issues quickly based on their risk.

“It’s extremely impactful to have very clear insights from Application Vulnerability Management returned—such as immediately having insight into which services are impacted, the time since detection and how to fix,” said Henri Cour, SRE at Continental Digital Services France. “It makes it much easier to investigate and remediate issues across all vulnerable services.”

“Application Vulnerability Management enables teams to get visibility into the overall attack surface of their applications by uncovering vulnerabilities in open-source libraries from within the platform that engineers use daily,” said Pierre Betouin, SVP of Product, Security Products at Datadog. “Application Vulnerability Management is tightly integrated with Service Catalog—a central hub for all knowledge about microservice ownership, interdependencies, critical resources and real-time performance—so that users in security, development and operations can quickly and understand the risk profile of all services.”

Application Vulnerability Management is now publicly available. To learn more visit the website HERE.

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Datadog Observability Pipelines Launches To Help Control Data

Taylor Graham — Fri, 17 Jun 2022 05:37:58 +0000

Datadog, Inc. announced the launch of Datadog Observability Pipelines—a new product that enables organizations to take greater control of their data so they can reliably scale their observability practices. Datadog Observability Pipelines is powered by Vector, an open source and high-performance framework for building telemetry pipelines.

Organizations today are tasked with managing many applications, which are powered by hundreds of services and result in the creation of trillions of logs, metrics and traces per month. The vast amount of data involved and the resulting complexity at both the application and organization levels can lead to reliability issues, technology lock-in, security risks and runaway costs.

Datadog Observability Pipelines provides customers with a unified view to control and monitor the flow of all their infrastructure and application metrics, logs and traces. Users can now seamlessly collect, enrich, transform, sanitize and route observability data from any source to any destination—before data leaves their environment. This unified view gives enterprises enhanced visibility into how much they are spending and where, what tools they are leveraging and who has access to what data. This enables them to more precisely manage costs, reduce technology lock-in, improve compliance and standardization of data quality and ultimately scale their observability practices.

“We want to empower our teams to use all of our systems and tools while staying within budget. Observability Pipelines gives us flexibility over how our data is processed and where it ends up, so our teams are taking action on the right information as we continue to scale,” said Andreas Kasprzok, Observability Tech Lead at Blockfi.

“As the amount of telemetry continues to grow at an organization, teams are often completely overwhelmed—if they’re not blind to—the runaway costs, reliability and compliance risks that come from a lack of visibility into infrastructure and application data,” said Zach Sherman, Senior Product Manager at Datadog. “We built Datadog Observability Pipelines to give organizations a powerful way to take back control of their data, without compromising visibility for engineering, security and SRE teams.”

Datadog Observability Pipelines helps IT and security teams in their goals to affordably manage and scale observability with complete flexibility and control over how their logs, metrics and traces are collected, transformed and routed. This helps organizations:

Control Costs: Aggregate, filter and route all observability data based on use case without compromising visibility
Simplify Migrations and Reduce Lock-In: Orchestrate and monitor data processing from any source to any destination in one unified view
Protect Sensitive Data: Filter, redact and monitor sensitive data before it leaves your network in order to better meet compliance requirements
Enforce Data Quality: Standardize the format of logs, metrics and traces to improve observability across teams
Scale with Confidence: Scale seamlessly with a product powered by Vector, a vendor-agnostic, open source project and engaged community with millions of monthly downloads that is deployed in production by enterprises processing petabytes of data every month
Easily Collect and Route Data: Observability Pipelines comes with more than 80 out-of-the-box integrations so organizations can quickly and easily collect and route data to any of the tools their teams already use, without disrupting existing workflows

Datadog Observability Pipelines is generally available now. For more information, please visit our website here.

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Snowflake SaaS Platform Expands Real-Time Data Integrations

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Datadog’s Addition of Live Debugging With Acquisition Of Ozcode

Taylor Graham — Tue, 09 Nov 2021 15:27:42 +0000

Datadog, Inc., the monitoring and security platform for cloud applications, announced that it has completed the acquisition of Ozcode, a live debugging solution that provides code-level observability in production environments. The addition of Ozcode will support Datadog’s customers to accelerate software development and reduce the mean time it takes to resolve issues.

Software debugging has traditionally been restricted to pre-production environments. As a result, when errors do occur in production, engineering teams have to resort to analyzing countless logs or replicating the issues in their pre-production environments to investigate. This cumbersome process increases the time it takes to identify the root cause of issues and resolve them. Ozcode’s live debugging solution enables customers to rapidly instrument and resolve these errors in production systems without the need to invest time and resources to replicate these issues in pre-production environments.

“Modern organizations are under pressure to increase the speed and frequency of their releases,” said Renaud Boutet, Senior Vice President of Product Management, Datadog. “With Ozcode, Datadog will help developers troubleshoot issues directly in production by finding the specific line of code where a problem has occurred. This will help reduce their mean time to resolution, accelerate software delivery and create a better end-user experience.”

“Our vision at Ozcode has always been to reinvent debugging and give developers the tools they need to quickly troubleshoot and resolve issues so that they have more time to craft high-quality code,” said Shimon Hason, CEO, Ozcode. “We’re excited to join Datadog and continue building on our vision of code-level observability.”

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Datadog and NS1 Integration Bolster Visibility at the Distributed Edge

Qlik Application Automation to Drive Dynamic Actions That Deliver the Last Mile in Active Intelligence

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Datadog Integrations: Visiblity at the Distributed Edge

Taylor Graham — Tue, 31 Aug 2021 22:35:11 +0000

NS1, the leader in application traffic intelligence and automation, announced enhanced support for Datadog Integrations the monitoring and security platform for cloud applications. A new integration brings the power of real-time data and reporting to Datadog users for improved visibility and monitoring of applications at the distributed edge.

As IT complexity explodes, application and network teams are challenged to collect, visualize, and act upon the deluge of data from disparate sources. They need end-to-end visibility into real-time conditions and solutions that connect into existing workflows so that they can identify, triage, and troubleshoot issues quickly and make more informed decisions about application health and performance. Now, teams can monitor and report on NS1 services within the Datadog Integrations platform, providing a single source of truth for observability across the modern tech stack.

“With Datadog and NS1, companies can implement full-stack observability with automatic, real-time adjustments and insights to help navigate changing conditions across the internet, cloud, networks, and infrastructure,” said Danielle Russell, Director of Product Marketing at NS1. “NS1 now connects with more observability solutions so that customers can deliver consistently exceptional application experiences while driving efficiency and automation.”

This is NS1’s second integration with Datadog. The company’s first integration, released in 2016, allows customers to push Datadog monitoring data into the NS1 platform to automate application traffic policy decisions based on near-real-time alerts. With this second integration, Datadog users can now export from NS1 key data points for analysis and management, including query use over time, top zones by query volume, and monthly account usage metrics. An out-of-the-box dashboard makes it fast and simple to get started with data visualization within the Datadog platform. Teams can also tap into NS1’s Pulsar real user monitoring and resource availability data for greater network visibility. With these combined solutions, customers can easily provide all of their DevOps, NetOps, and SecOps users the centralized visibility they need to monitor application delivery reliability and performance, troubleshoot issues, and effectively manage resources wherever their users and applications are located.

“We’re excited for NS1 to join our partner ecosystem and integrate with existing Datadog performance and security monitoring,” said Michael Gerstenhaber, Sr. Director of Product at Datadog. “The critical first step for users to access a web application is a successful DNS lookup. Using the NS1 integration to optimize DNS queries, manage costs, and catch security issues like DDoS attacks, developers will be able to deliver great digital experiences from start to finish.”

NS1’s and Datadog Integrations makes it easy for customers like Sovrn to import and act upon meaningful DNS insights. As an AdTech exchange provider, the company relies heavily on DNS to get bid traffic into the best data center possible. Senior Site Reliability Engineer Scott Young explained that hosted DNS solutions have always been difficult to monitor with precision. NS1’s Datadog integration provides a new level of visibility and control. Now, they will know the effects of a record TTL change to the number of queries for that record within a few minutes and be able to quickly back out of a TTL that is set too low. They also use Datadog Monitors to set up alerts for if they are above their expected usage so they can remediate before it becomes an overage situation.

“Having access to NS1 usage and queries per second metrics in Datadog for long-term collection enables us to see trends and make week-over-week and month-over-month comparisons that combine with other data to confirm platform health and provide inputs to capacity planning,” said Young. “With highly detailed, near-real-time data, our team has more confidence to try new traffic management configurations without fear of an expensive overage. The best part is how easy it was to implement. Any Datadog agent can be configured to gather NS1 statistics in minutes.”

NS1’s application traffic intelligence and automation portfolio makes applications faster, more reliable, and more secure. Visit NS1 online to learn more about how the company integrates with market-leading observability, DevOps, and IT management solutions to ensure reliable, secure deployment changes without the delays and friction of traditional processes.

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Datadog Announces Support For Application Monitoring With AWS App Runner

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Datadog Announces Support For Application Monitoring With AWS App Runner

Taylor Graham — Tue, 25 May 2021 08:46:21 +0000

Datadog, Inc., a monitoring and security platform for cloud applications, announced support for application monitoring with AWS App Runner, joining Amazon Web Services (AWS) as a Launch Partner for the new fully managed service. This new functionality will help engineering and product teams scale, deploy, and monitor their apps without the burden of managing their own infrastructure.

AWS App Runner is a purpose-built container application service that enables customers to build and run containerized web applications and APIs with no prior container or infrastructure experience required. Customers can simply provide their source code, container image, or deployment pipeline and AWS App Runner will build and deploy the application, automatically handling the load balancing, encryption, and scaling needed.

The Datadog integration with AWS App Runner allows customers to comprehensively monitor their applications managed by AWS App Runner to:

Identify errors: track the success rate of requests to detect issues in code leading to errors.
Ensure adequate resourcing: get visibility into applications with under or over-provisioned compute and memory.
Know when to scale up or down: understand application latency to set the right autoscaling rules.
Ensure security: observe and analyze all AWS App Runner API activity.

“At Datadog, we’re focused on helping customers monitor their applications wherever and however they run,” says Ilan Rabinovitch, Senior Vice President, Product and Community at Datadog. “Using AWS App Runner, customers can now more easily deploy and scale their web applications from a container image or source code repository. With our new integration, customers can monitor their AWS App Runner metrics, logs, and events to troubleshoot issues faster, and determine the best resource and scaling settings for their app.”

“We are pleased to see Datadog integrating its monitoring capabilities with AWS App Runner at launch,” says Fernando Zandona, General Manager, Serverless Containers at AWS. “By removing the need to manage and configure infrastructure, AWS App Runner makes it easy for teams to build, deploy, and run modern web applications in just a few minutes. We are pleased that developers can use Datadog’s observability platform to better track application performance and debug issues more quickly using AWS App Runner.”

Customers can start monitoring AWS App Runner by following the steps in Datadog’s documentation: https://docs.datadoghq.com/integrations/amazon_app_runner/

For more information, please visit: https://www.datadoghq.com/blog/aws-app-runner-monitoring/

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Datadog and Microsoft Strike Partnership

Digital IT News Editors — Mon, 05 Oct 2020 15:46:51 +0000

Datadog has announced a new strategic partnership with Microsoft Azure. As a result Datadog will now be available in the Azure console as a first class service. This means that Azure customers will be able to implement Datadog as a monitoring solution for their cloud workloads through new streamlined workflows that cover everything from procurement to configuration.

Datadog reports that the improved onboarding experience makes Datadog setup automatic, so new users can start monitoring the health and performance of their applications with Datadog quickly, whether they are based entirely in Azure or spread across hybrid or multi-cloud environments. With the deepest integration and the easiest configuration, Datadog is now clearly positioned as the premier monitoring solution for Azure.

In addition to the integration enhancements, the new channel through the Azure Marketplace allows customers to draw down on their committed Azure spend to purchase Datadog. This makes it significantly easier for customers to find budget, and also aligns incentives for Azure and Datadog sales teams for better collaboration and engagement in co-sell motions with enterprise clients. As a result, this partnership will enable more Azure customers to leverage Datadog’s observability platform to drive successful cloud modernization and migration initiatives.

Datadog’s native presence represents a first-of-its-kind integration of a third-party service into Azure.

“Azure is the first cloud to enable a seamless configuration and management experience for customers to use partner solutions like Datadog. Together with Datadog, we are enabling customers to use this experience to monitor their Azure workloads and enable an accelerated transition to the cloud,” – Corey Sanders, Microsoft Corporate Vice President, Azure

“Observability is a key capability for any successful cloud migration. Through our new partnership with Microsoft Azure, customers will now have access to the Datadog platform directly in the Azure console, enabling them to migrate, optimize and secure new and migrated workloads.” – Amit Agarwal, Chief Product Officer, Datadog

Through the new experience in the Azure Portal, customers can:

Purchase a Datadog plan and consolidate billing through the Azure Marketplace
Start sending Azure logs and metrics to Datadog with a few clicks
View and manage which Azure resources are monitored by Datadog
Easily deploy the Datadog agent to Azure hosts and web applications

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