Datadog

2010
New York City, NY, USA
Oct 8, 2019   |  By Mallory Mooney
Fluent Bit is a lightweight, multi-platform tool that can collect, parse, and forward log data from several different sources. Because Fluent Bit has a small memory footprint (~450 KB), it is an ideal solution for collecting logs in environments with limited resources, such as containerized services and embedded Linux systems (e.g., IoT devices).
Oct 7, 2019   |  By David M. Lentz
Vertica is a platform that uses machine learning capabilities to help you analyze large amounts of data. Vertica provides high availability and parallel processing by replicating data onto multiple nodes in a cluster, and uses a column-based data store for efficient querying. You can deploy Vertica in the cloud, on premise, or as a hybrid of the two.
Oct 2, 2019   |  By Emily Chang
The Java Virtual Machine (JVM) dynamically manages memory for your applications, ensuring that you don’t need to manually allocate and release memory in your code. But anyone who’s ever encountered a java.lang.OutOfMemoryError exception knows that this process can be imperfect—your application could require more memory than the JVM is able to allocate.
Sep 30, 2019   |  By Jordan Obey
Real-time collaboration helps teams resolve issues quickly, which is crucial during outages when you don’t have a minute to lose. If your organization is using DingTalk, Alibaba’s platform for cross-team communication and collaboration, Datadog’s new integration lets you share and discuss annotated graphs on the fly and route alerts to your teams’ group chats so you can start troubleshooting issues without skipping a beat.
Sep 25, 2019   |  By Jordan Obey
Logs provide invaluable information about issues you need to troubleshoot. In some circumstances, that may mean that you have to look back at old logs. For example, you may be running a security audit and need to analyze months-old HTTP request logs for a list of specific IP addresses over a period of time. Or you might need to investigate why a scheduled service never occurred, or run an exhaustive postmortem on incidents that happened over a couple months but that you suspect are related.
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.
Oct 4, 2019   |  By Datadog
Service mesh is quickly becoming a standard for organizations making the transition to a microservice environment. As companies make this shift, there are three key considerations for deploying an effective service mesh: Networking, Observability, and Reliability. This webinar will focus in on the Observability component of service meshes, specifically tracing. Watch this webinar to learn how HashiCorp Consul and Datadog are collaborating to help users implement and monitor their service mesh deployments.
Sep 26, 2019   |  By Datadog
See how Datadog brings together metrics, traces, logs, UX testing, and more in a single pane of glass. See inside any stack, any app, at any scale, anywhere.
Sep 6, 2019   |  By Datadog
Peter Gradwell and Rob Leslie discuss how bringing distributed log files into a single platform has helped Gradwell’s support teams identify, analyze, and resolve issues more quickly.
Aug 26, 2019   |  By Datadog
See the highlights from the recent Dash 2019 conference by Datadog!
Aug 23, 2019   |  By Datadog
Uptime is a poor measure of reliability. Agile development’s fail-fast approach coupled with distributed applications and dynamic infrastructure requires us to have a better understanding of reliability.