Datadog

2010
New York City, NY, USA
Dec 6, 2019   |  By Evan Mouzakitis
As serverless application architectures have gained popularity, AWS Lambda has become the best-known service for running code on demand without having to manage the underlying compute instances. From an ops perspective, running code in Lambda is fundamentally different than running a traditional application. Most significantly from an observability standpoint, you cannot inspect system-level metrics from your application servers.
Dec 5, 2019   |  By Jordan Obey
As you monitor the health and performance of your infrastructure and applications, you also need to be able to identify potential threats to the security of those components. To help address this challenge, we’re pleased to announce that Datadog now integrates with AWS Identity and Access Management (IAM) Access Analyzer, a new IAM feature that helps administrators ensure that they have securely configured access to their resources.
Dec 4, 2019   |  By David M. Lentz
The performance of your website is a key element in the success of your business—slow page load times and errors can degrade the user experience, leading to customer churn, fewer ad impressions, or abandoned shopping carts. To give you end-to-end visibility into the real-time activity and experience of individual users, we’re excited to add Real User Monitoring (RUM) to Datadog.
Dec 4, 2019   |  By David M. Lentz
Apache Druid is a data warehouse and analytics platform that can capture streaming data from message queues like Apache Kafka and batch data from static files. Druid can be a valuable component in your technology stack if you need to collect real-time data for online analytical processing (OLAP) tasks like reporting, ad-hoc querying, and dashboarding.
Dec 3, 2019   |  By Paul Gottschling
Acorn RISC Machine (Arm) processors were first released in 1985 to support low-power, low-cost computing. Because of their ability to deliver cost-effective performance, the next big use for Arm-based devices is in the cloud. AWS recently added a range of Arm-based EC2 instance types and is developing additional support (e.g., in Elastic Kubernetes Service). Meanwhile, Arm and Docker are working on tighter integration.
Oct 29, 2018   |  By Datadog
As Docker adoption continues to rise, many organizations have turned to orchestration platforms like ECS and Kubernetes to manage large numbers of ephemeral containers. Thousands of companies use Datadog to monitor millions of containers, which enables us to identify trends in real-world orchestration usage. We’re excited to share 8 key findings of our research.
Oct 29, 2018   |  By Datadog
The elasticity and nearly infinite scalability of the cloud have transformed IT infrastructure. Modern infrastructure is now made up of constantly changing, often short-lived VMs or containers. This has elevated the need for new methods and new tools for monitoring. In this eBook, we outline an effective framework for monitoring modern infrastructure and applications, however large or dynamic they may be.
Oct 1, 2018   |  By Datadog
Where does Docker adoption currently stand and how has it changed? With thousands of companies using Datadog to track their infrastructure, we can see software trends emerging in real time. We’re excited to share what we can see about true Docker adoption.
Oct 1, 2018   |  By Datadog
Build an effective framework for monitoring AWS infrastructure and applications, however large or dynamic they may be. The elasticity and nearly infinite scalability of the AWS cloud have transformed IT infrastructure. Modern infrastructure is now made up of constantly changing, often short-lived components. This has elevated the need for new methods and new tools for monitoring.
Sep 1, 2018   |  By Datadog
Like a car, Elasticsearch was designed to allow you to get up and running quickly, without having to understand all of its inner workings. However, it’s only a matter of time before you run into engine trouble here or there. This guide explains how to address five common Elasticsearch challenges.
Nov 19, 2019   |  By Datadog
Jamie Doheny, Director of SRE at Braze, discusses how APM flamegraphs and latency SLOs help him deliver higher reliability for enterprise-scale systems.
Oct 23, 2019   |  By Datadog
Watch product manager Meghan Jordan as she discusses and demonstrates how Datadog’s monitor uptime and SLO widget can help you track your SLO performance, watch your error budget, and provide important visibility into the status of your SLOs and SLIs.
Oct 23, 2019   |  By Datadog
Your applications and infrastructure components rely on one another in an increasingly complex fabric, regardless of whether you run a monolithic application or microservices, and whether you deploy to cloud infrastructure, private data centers, or both. Virtualized infrastructure enables developers to respond to arbitrary scale—and creates dynamic network patterns that aren’t well matched to traditional network monitoring tools. To provide visibility into every component in your environment, and all the connections between them, Datadog is introducing Network Performance Monitoring for the cloud age. Miranda Kapin of Datadog tells you more.
Oct 23, 2019   |  By Datadog
Datadog announced a beta for native Datadog APM in serverless environments, starting with AWS Lambda. When running applications in a managed environment, it's especially important to be able to track down the sources of slowdowns and bottlenecks. Datadog APM for serverless means you'll always have your finger on the pulse of your application health, and your code doesn't need to change as your teams adopt serverless.
Oct 23, 2019   |  By Datadog
Modern systems and applications generate high volume log streams that become more and more expensive to store in order to query for troubleshooting and analytics purposes. In this video, Nils Bunge describes how to dynamically identify and store valuable logs from those streams while generating accurate long term analytics on 100% of the data.