Operations | Monitoring | ITSM | DevOps | Cloud

How to Use the Datadog CLI on Kubernetes | Datadog Tips & Tricks

Jul 8, 2020 By Datadog In Datadog
In this video, you’ll learn how to use the Datadog command line interface (CLI) on Kubernetes to perform key tasks, including checking the status of the agent and viewing custom checks. The Datadog Agent CLI allows you to check the status of the Agents running on the pods in your Kubernetes clusters. It also provides various helpful commands, including starting and stopping the agent, viewing configured custom checks, and sending flares to the Datadog support team to automatically open troubleshooting tickets.
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Datadog on RocksDB

Jul 7, 2020 By Datadog In Datadog
Datadog is a monitoring and analytics platform that ingests trillions of data points per day, coming from more than 8,000 customers. Each of those is associated with metadata, mostly in the form of tags, and it can also be part of streams of related data points, which can then be explored, queried, or aggregated. RocksDB is used by many services at Datadog that are part of that metrics ingestion, aggregation, query, and index pipeline.
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How to Manage Datadog Resources Using Terraform | Datadog Tips & Tricks

Jul 7, 2020 By Datadog In Datadog
Terraform allows you to efficiently manage complex infrastructure environments, and Datadog is an important piece of those environments. With the Datadog provider, you can use Terraform to manage your Datadog resources as code, allowing you to create and edit resources with the same tool you’re already using for your infrastructure. This video will show you how to do just that through the example of creating a Datadog monitor.
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How to Build A Unified Dashboard | Datadog Tips & Tricks

Jul 7, 2020 By Datadog In Datadog
In this video, you’ll learn how to create unified dashboards to enable your teams with valuable information and performance visualizations from across the Datadog platform. Dashboards allow your teams to see all data from across the Datadog platform side-by-side, enabling holistic visibility and breaking down silos between Dev and Ops teams. In this video, you’ll learn how to create a Screenboard, showcasing data such as frontend system latency, backend system latency, and Service Level Objectives all in one place.
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Identifying Environment Right Sizing Opportunities for Cost Efficiency | Datadog Tips & Tricks

Jul 7, 2020 By Datadog In Datadog
In this video, you’ll learn how to use the host map to identify opportunities to rightsize your environment to become more cost efficient. MoneySuperMarket Group was able to cut their cloud infrastructure costs by over 50% by utilizing Datadog. This video unpacks some of the practices used by MoneySuperMarket’s engineering team to accomplish that.
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Monitor Apache Ignite with Datadog

Jul 6, 2020 By Mallory Mooney In Datadog

Apache Ignite is a computing platform for storing and processing large datasets in memory. Ignite can leverage hardware RAM as both a caching and storage layer to serve as a distributed, in-memory database or data grid. This allows Ignite to ingest and process complex datasets—such as those from real-time machine learning and analytics systems—in parallel and at faster speeds than traditional databases supported by only disk storage.

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Monitor Hazelcast with Datadog

Jul 2, 2020 By Kai Xin Tai In Datadog

Hazelcast is a distributed, in-memory computing platform for processing large data sets with extremely low latency. Its in-memory data grid (IMDG) sits entirely in random access memory, which provides significantly faster access to data than disk-based databases. And with high availability and scalability, Hazelcast IMDG is ideal for use cases like fraud detection, payment processing, and IoT applications.

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Observability at The Edge with Fastly and Datadog

Jun 27, 2020 By Datadog In Datadog
You use CDNs because they allow you to serve content as quickly and reliably as possible. But how well are your systems performing? How securely are you moving data—and how do you know which parts of your environment are slowing you down? Learn how to improve end user experiences, accelerate development, and take full advantage of edge computing in this joint webinar.
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Driving Service Reliability Through Autoscaling Workloads on OpenShift

Jun 27, 2020 By Datadog In Datadog
In this webinar, Ara Pulido, Technical Evangelist at Datadog, will demonstrate how to autoscale your application workloads on OpenShift. You will learn frameworks for how to identify their key work and resource metrics; as well as how to use them to drive horizontal and vertical pod autoscaling so that you can maximize efficiency, while ensuring service reliability.
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