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Apr 22, 2019 | By Paul Gottschling
Twistlock is a platform for managing security and compliance within various environments, including virtual machines, containers, and serverless functions. Ensuring legal and technical security is just as valuable as preventing outages and errors, which is why Datadog is delighted to announce a new integration with Twistlock. With this integration, you can track security and compliance risks within the same platform as the metrics, traces, and logs you already collect with Datadog.
Apr 17, 2019 | By Jordan Obey
MongoDB Atlas is a fully managed NoSQL database that deploys onto the cloud platform of your choice: AWS, Azure, or GCP. Atlas provides built-in security features and automatically distributes clusters across availability zones to help ensure high availability and uptime. We’re excited to announce that with our new integration, you can now monitor MongoDB Atlas health and performance metrics alongside the rest of your cloud infrastructure and the applications that depend on your database.
Apr 16, 2019 | By Dhruv Sahni
Even in an era where container, serverless, and cloud-computing technologies garner considerable attention, many companies continue to run a sizeable share of their mission-critical applications on highly resilient, fault-tolerant systems such as IBM AIX on Power-series hardware. AIX, one of the most popular Unix-based operating systems, is trusted by large companies that process critical data such as medical health records and banking transactions.
Apr 16, 2019 | By Meghan Jordan
Service level objectives are an important tool for maintaining application performance, ensuring a consistent customer experience, and setting expectations about service performance for both internal and external users. We are very pleased to announce the availability of a new monitor uptime and SLO widget that makes it simple to monitor the status of your SLOs and communicate that status to your teams, executives, or external customers.
Apr 16, 2019 | By Gabriel-James Safar
Datadog’s new automated browser tests enable you to automate your user experience monitoring and ensure that your users can complete actions like signing up for a new account or adding items to a cart. Anyone on your team can record and automate multistep browser tests in minutes. Once you create a test, Datadog uses machine learning to detect changes to your application and automatically update your tests accordingly.
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.
Apr 17, 2019 | By Datadog
Datadog recently hosted the NYC Kafka Meetup. Presenters included Jamie Alquiza (Datadog), Stephen Dotz (NY Times) and Michael Kaminski (NY Times). Jamie shared how Datadog conducts capacity planning for Kafka, and the NY Times team shared how their publishing pipeline works.
Feb 26, 2019 | By Datadog
Paul Whyte discusses how Datadog has reduced Funding Circle’s MTTA and MTTR, ensuring borrowers and investors always have a fantastic experience on their platform.
Feb 19, 2019 | By Datadog
Nick Vecellio discusses using Datadog to monitor Wayfair’s distributed systems, which span across multiple on-premises data centers, the cloud and Kubernetes.