Operations | Monitoring | ITSM | DevOps | Cloud

November 2022

Announcing TISAX-compliant observability for the automotive industry and its suppliers

Many organizations face complex regulatory requirements when it comes to monitoring the health and performance of their service and application infrastructure. As part of our ongoing commitment to providing a comprehensive monitoring solution for all customers, we’re pleased to announce that Datadog has achieved TISAX Assessment Level 2 (AL2) certification.

Improve your EC2 rightsizing recommendations with Datadog and AWS Compute Optimizer

While cloud solutions can give you greater flexibility as you scale your infrastructure, limited visibility into resource utilization makes provisioning the right amount of compute resources challenging. To ensure that every workload is fully supported, many organizations may opt to over-provision, which leads to overspending. Or, in an attempt to maximize cost savings, organizations may under-provision, leaving workloads unsupported and risking serious performance impacts.

Golden signals in seconds with Universal Service Monitoring

Whether you are a site reliability engineer, DevOps engineer, or application developer, you need visibility into the health and performance of every service you run or support. But in complex, dynamic environments, it can be difficult to ensure that all services are accounted for.

Monitor your mobile apps with Embrace's offering in the Datadog Marketplace

Embrace is a mobile application monitoring solution that helps you track and troubleshoot mobile app performance by combining data analytics, real user monitoring, network performance monitoring, and hardware monitoring in a single platform. We’re pleased to partner with Embrace to offer an out-of-the-box Embrace Datadog app and software license in the Datadog Marketplace.

Track and triage errors in your logs with Datadog Error Tracking

Reducing noise in your error logs is critical for quickly identifying bugs in your code and determining which to prioritize for remediation. To help you spot and investigate the issues causing error logs in your environments, we’re pleased to announce that Datadog Error Tracking is now available for Log Management in open beta.

Mitigate cold starts in your Java Lambda functions with Datadog and AWS Lambda SnapStart

AWS Lambda enables engineering teams to build modern, scalable services without the need to provision underlying infrastructure resources. But monitoring Lambda functions requires visibility into performance indicators that differ from those of traditional architectures—and cold starts are a key example.

Datadog acquires Cloudcraft

A well-designed cloud architecture is essential to ensure that the underlying infrastructure stays operational, within budget, and compliant over time. These days, organizations are rapidly spreading their infrastructure across a broad, complex mesh of interconnected resources and services. It can be difficult to make high-level decisions about the design and management of these systems. This is why many organizations are now turning to cloud infrastructure modeling tools.

Architecting for Reliability

As modern systems become increasingly more complex, the risk of incidents and outages increases. Old approaches to reliability can sometimes be adapted to novel system designs, but other times new methods need to be invented. In this panel session moderated by Datadog’s Jason Yee, you’ll hear from SRE leaders and systems architects across the industry about how they’re designing and operating systems to achieve greater reliability.

Democratizing Observability

DevOps principles have helped many organizations improve cross-team collaboration, which has in turn led to increased reliability and velocity in the development lifecycle. In this session moderated by Jason Yee, we hear from panelists who have applied these same DevOps principles to observability, helping them unlock data-based insights and empower teams to make smarter, more informed decisions.

RUM now offers React Native Crash Reporting and Error Tracking

React Native has become the predominant development framework for cross-platform mobile applications. By interacting with native APIs largely under the hood and requiring only a fractional proportion of platform-specific code, it allows you to build applications for iOS, Android, and the browser using the same declarative JavaScript. But this cross-platform adaptability has its downsides.

Dash Panel Discussion: What Users Really Want

Measuring user experience is typically done by tracking metrics like latency and purchase frequency. But these metrics can often obscure real user sentiment. In this panel session moderated by Miranda Kapin, you can learn about better ways to uncover how users are truly experiencing your application and methods for improving their engagement.

Generate RUM-based metrics to track historical trends in customer experience

Datadog Real User Monitoring (RUM) provides end-to-end visibility into the user experience and performance of your browser and mobile applications. RUM allows you to capture and retain complete user sessions for 30 days. This means you can pinpoint bugs, prioritize issues, and determine fixes with data collected across an entire quarter.

Building a Multi-Tenant Insurance Platform

In 2020, CoverWallet—a multi-tenant insurance platform—was acquired by Aon, which led to a rapid expansion in both the size and global presence of its engineering organization. In his talk, CoverWallet’s Hylke Alons walks through the changes that were necessary to meet their platform's new expectations, including improving growth and scalability while ensuring reliability, automating security, and reducing maintenance. He also discusses some best practices for scaling up engineering and product teams to handle demand in a complex and highly regulated industry like insurance.

Stress test your Kubernetes application with Speedscale's offering in the Datadog Marketplace

Properly testing a service’s APIs to ensure that it can handle production traffic presents many challenges for engineers—SREs need to guarantee the resiliency of their application, while developers must ensure that their features perform well at any given scale. Speedscale is a testing framework built for Kubernetes applications that enables you to load test with real-world production scenarios by replaying actual API traffic that your application has experienced.

Expanded Datadog Lambda extension capabilities with the AWS Lambda Telemetry API

In 2021, we partnered with AWS to develop the Datadog Lambda extension which provides a simple, cost-effective way for teams to collect traces, logs, custom metrics, and enhanced metrics from Lambda functions and submit them to Datadog.

A practical guide to capturing production traffic with eBPF

Monitoring HTTP sessions offers a potentially powerful way to gain visibility into your web servers, but in practice, doing so can be complex and resource-intensive. Extended Berkeley Packet Filter (eBPF) technology allows you to overcome these challenges, giving you a simple and efficient way to process application-layer traffic for your troubleshooting needs.

I've Made a Huge Mistake: Implementing Agile on Infrastructure Teams

Bad planning methods can damage team morale and prevent teams from improving the systems they maintain. In this talk, Sam Handler from Shopify explains how his attempts to fix poor infrastructure planning processes through Agile methods failed. Drawing from this experience, he offers several principles that can help infrastructure teams improve the way they work.

Scaling Up, One Network Bottleneck at a Time

Processing data at scale involves moving packets through a network—but what happens when that network isn't cooperative? Anatole Beuzon, a Software Engineer at Datadog, discusses how he investigated and resolved network issues in Datadog’s larger data-processing apps and how you can apply these same methods to your own production workloads.

Ask a Site Reliability Engineer (SRE)

Site reliability engineering (SRE) can be complicated, and at Datadog, we’ve spent a lot of time thinking about SRE and refining how we implement it. Join Datadog’s Brandon West and Rick Mangi as they provide a brief overview of SRE and its core concepts. This video also contains a Q&A session from the live taping of this panel.

FinOps and Cloud Cost Optimization

As companies scale, it’s become increasingly important to keep cloud cost management and optimization top of mind. In this talk, Yuval Yogev from Sygnia walks you through Sygnia’s optimization journey of cutting their total cloud costs in half. Yogev also shares insights into how you can optimize your own organization’s cloud usage and spend.

Deploying OpenTelemetry Organizationally: From Proof of Concept to In-Production at Scale

Observability involves telling a coherent story about an entire system. Over the years, video streaming service Pluto TV has had to navigate many storytellers in terms of observability vendors, tools, and formats before settling on OpenTelemetry to analyze and compare features across its many destination platforms. During this presentation, you'll see how Bharathi Ramachandran—Engineering Manager at Pluto TV—used OpenTelemetry to implement his initial proof of concept and get his entire organization shipping observability data at scale.

Changing Perspectives: A Deep Dive into the Security Posture of 600+ Real-World AWS Environments

Earlier this year, Datadog released the “State of AWS Security” study, which examined real-world data from more than 600 organizations and AWS accounts to understand the security posture of global AWS users who also leverage the Datadog Cloud Security Platform. Join Datadog’s Christophe Tafani-Dereeper and Andrew Krug as they explore some important insights from this study, such as the top ways organizations are breached on AWS and how tooling like Datadog Cloud Security Posture Management can help.

Auditing Your Automation's Access: Using More Automation

Between CI/CD pipelines, container orchestrators, and developer debugging tools, more and more automation is needed to scale your systems. But how do you know if that automation is accessing the right systems at the right time? And how do you ensure that your automation is safe from exploits by unauthorized users?

New GKE dashboards and metrics provide deeper visibility into your environment

Google Kubernetes Engine (GKE) is a managed Kubernetes service that enables users to deploy and orchestrate containerized applications on Google’s infrastructure. Datadog’s GKE integration, when paired with our Kubernetes integration, has always provided deep visibility into the health and performance of your clusters at the node, pod, container, and application levels.

Monitoring MongoDB performance metrics (WiredTiger)

This post is part 1 of a 3-part series about monitoring MongoDB performance with the WiredTiger storage engine. Part 2 explains the different ways to collect MongoDB metrics, and Part 3 details how to monitor its performance with Datadog. If you are using the MMAPv1 storage engine, visit the companion article “Monitoring MongoDB performance metrics (MMAP)”.