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Datadog

Announcing support for monitoring AWS Lambda Function URLs with Datadog

AWS Lambda Function URLs make it even easier to create AWS Lambda functions that can be accessed and triggered by using HTTP/S requests, which is key for building serverless applications that are connected to and invoked from the web. Now you can generate a URL in one click that points to a specified Lambda function. Then, any HTTP/S request that a Function URL receives will trigger the Lambda function it’s assigned to.

More efficient pair programming with Datadog CoScreen

Pair programming is a well-established practice in agile software development. But it can be difficult in remote settings, as most remote collaboration tools don’t accommodate real-time, spontaneous interactivity among participants’ desktop environments. Datadog CoScreen changes that by combining interactive screen sharing and video conferencing in a way that closely mimics in-person collaboration.

Monitor your Azure Arc hybrid infrastructure with Datadog

In today’s modern digital environment, many organizations are architecting their infrastructure and services around a mix of cloud and on-prem solutions. Both cloud and private servers offer unique benefits, and taking a hybrid approach to infrastructure can allow businesses to better meet user demand on a global scale while expanding capabilities, minimizing risk, and keeping services consistent.

Monitor Calico with Datadog

Calico is a versatile networking and security solution that features a plugable dataplane architecture. It supports various technologies, including Iptables, eBPF, Host Network Service (HNS for Windows), and Vector Packet Processing (VPP) for containers, virtual machines, and bare-metal workloads. Users can employ Calico’s network security policies to restrict traffic to and from specific clusters handling customer data and to quickly block malicious IP addresses during external attacks.

Datadog on Data Engineering Pipelines: Apache Spark at Scale

Datadog is an observability and security platform that ingests and processes tens of trillions of data points per day, coming from more than 22,000 customers. Processing that amount of data in a reasonable time stretches the limits of well known data engines like Apache Spark. In addition to scale, Datadog infrastructure is multi-cloud on Kubernetes and the data engineering platform is used by different engineering teams, so having a good set of abstractions to make running Spark jobs easier is critical.

Monitor your AlwaysOn availability groups with Datadog Database Monitoring

SQL Server AlwaysOn availability groups provide database clusters that streamline automatic failovers and disaster recovery. With AlwaysOn clusters, you can leverage reliable, high-availability support for your services. However, AlwaysOn groups can be problematically complex, spread over servers and regions with multiple points of failure in each cluster. This makes it difficult to understand what’s happening in your groups at any given time and troubleshoot when issues occur.

Strategize your Azure migration for SQL workloads with Datadog

Migrating an on-prem database to a public cloud comes with a number of benefits, such as no longer needing to manage and maintain physical infrastructure, dynamic scaling, disaster recovery, and overall cost reduction. However, migrating to the cloud can often be a complex and daunting task. For instance, if an organization is a Microsoft shop with teams that rely on SQL Server databases, Azure is a natural fit for its needs.

Identify the root causes of issues and bottlenecks in your build pipelines with TeamCity and Datadog

TeamCity is a CI/CD server that provides out-of-the-box support for unit testing, code quality tracking, and build automation. Additionally, TeamCity integrates with your other tools—such as version control, issue tracking, package repositories, and more—to simplify and expedite your CI/CD workflows.

Practical tips for rightsizing your Kubernetes workloads

When containers and container orchestration were introduced, they opened the possibility of helping companies utilize physical resources like CPU and memory more efficiently. But as more companies and bigger enterprises have adopted Kubernetes, FinOps professionals may wonder why their cloud bills haven’t gone down—or worse, why they have increased.