Operations | Monitoring | ITSM | DevOps | Cloud

Datadog

Bits of Security, PedidosYa: Fraud Detection using Datadog and Sherlock

From day one, most organizations,especially the big ones, are targeted with a broad range of attacks. These range from information exfiltration attempts to fraud. Although a great majority of them can be addressed with the help of a Web Application Firewall, there are some that require more extensive tooling. Join me as I show you how we use Sherlock and Datadog to block 30,000+ fraudulent users per week in seconds. We will also discuss other applications and how you can implement similar solutions.

Datadog acquires Sqreen to strengthen application security

We began our security journey last year with the release of Datadog Security Monitoring, which provides runtime security visibility and detection capabilities for your environment. Today, we are thrilled to announce that Sqreen, an application security platform, is joining the Datadog team. Together, these products further integrate the work of security, development, and ops teams—and provide a robust, full-stack security monitoring solution for the cloud age.

Monitor Azure Service Health events with Datadog

Azure Service Health continuously notifies you of issues that may affect the availability of your environment, such as service incidents, planned maintenance periods, or regional outages. We’ve recently enhanced our Azure integration to include additional support for monitoring Service Health issues, enabling you to keep tabs on the health of your Azure environment and take proactive measures to mitigate downtime.

Nuxeo: Developing resilient services and delivering outstanding customer experiences with Datadog

Joe Quinto and Stephen Bouzan, of Nuxeo, a content services platform, talk about how Datadog helps them stay one or two steps ahead of their customers in identifying and responding to issues–so their customers can focus on building smarter content applications and getting to market faster.

Collect Amazon CloudWatch metrics faster with Datadog using CloudWatch Metric Streams

Having quick access to metrics and health signals from your AWS environment is paramount to identifying issues expediently and monitoring the effects of any deployed fixes. Datadog is proud to partner with AWS for the launch of CloudWatch Metric Streams, a new feature that allows AWS users to forward metrics from key AWS services to different endpoints, including Datadog, via Amazon Kinesis Data Firehose with low latency.

Monitor Fastly performance with Datadog

Fastly is an edge cloud platform that includes a content delivery network (CDN), as well as services for image optimization, video streaming, cloud security, and load balancing. These services are supported by a network of caches in different locations, which enables enterprise-scale companies to deliver applications to users as quickly as possible, even in times of peak traffic.

Monitor Microsoft 365 with RapDev's integration in the Datadog Marketplace

Microsoft 365, formerly known as Office 365, is a suite of cloud-based productivity and communication services that is used by more than one million companies worldwide. The applications included in the suite are critical to the daily workflows of subscribers and therefore require careful monitoring in order to minimize the effects of downtime and ensure optimal usage.

Monitor .NET runtime metrics with Datadog

If you are a .NET developer, monitoring runtime metrics can help you troubleshoot bugs and detect resource inefficiencies in your applications. With Datadog, you can easily collect, visualize, and alert on key .NET runtime metrics, including exceptions, garbage collection statistics, thread count, and more. We have fully integrated .NET runtime metrics into Datadog APM so that you can easily view them alongside your distributed traces, logs, and other telemetry.

Monitor VoltDB with Datadog

VoltDB is an ACID-compliant, in-memory relational database designed to support real-time analytics. VoltDB’s in-memory storage, stored procedures, and shared-nothing architecture make it specifically optimized for quickly processing massive streams of data. This means VoltDB is tailored for use cases like online gaming, telecommunication, and financial applications, which require fast data processing.

New10: Monitor hybrid cloud environments, troubleshoot serverless production workloads with Datadog

Pavel Kruhlei, Quality Engineer lead of New10 talks about how Datadog allowed them to resolve performance issues in their serverless applications, as well as increase visibility into their hybrid environment with Datadog.