When it comes to security threats, a few minutes additional response time can make the difference between a minor nuisance and a major problem. Datadog Security Monitoring enables you to easily triage and alert on threats as they occur. In this post, we’ll look at how you can use Datadog’s webhooks integration to automate responses to common threats Datadog might detect across your environments.
ActiveMQ is a message broker that uses standard protocols to route messages between disparate services. ActiveMQ currently offers two versions—Classic and Artemis—that it plans to merge into a single version in the future. Both versions provide high throughput, support synchronous and asynchronous messaging, and allow you connect loosely coupled services written in different languages.
Databricks is an orchestration platform for Apache Spark. Users can manage clusters and deploy Spark applications for highly performant data storage and processing. By hosting Databricks on AWS, Azure or Google Cloud Platform, you can easily provision Spark clusters in order to run heavy workloads. And, with Databricks’s web-based workspace, teams can use interactive notebooks to share datasets and collaborate on analytics, machine learning, and streaming in the cloud.
The Datadog mobile app enables you to check your alerts and dashboards from anywhere, so you can triage issues—and stay up to date—regardless of whether you have access to a laptop. You can now be even more productive when responding to issues while away from your keyboard by declaring incidents and notifying responders directly from your mobile device.
Visibility into your Salesforce environment is crucial for keeping your data secure and ensuring a seamless user eperience. That’s why we are excited to announce that Datadog can now collect Salesforce event logs directly from your Real-Time Event Monitoring stream, giving you deep insights into the security and operational performance of your Salesforce environment.
Migrating your on-prem infrastructure to the cloud offers a host of benefits, including scalability, mobility, security, and cost reduction. When it comes to cloud network monitoring, tracking the availability and performance of the cloud services your applications rely on becomes even more important. However, moving from self-managed infrastructure to third party–managed services introduces a number of challenges.
AWS Service Quotas helps you manage limits on the number of resources or API operations that are possible for a given AWS service. Hitting such limits could cause operational disruptions related to getting rate limited on the critical APIs that your applications rely on or being unable to provision additional AWS resources.
BigPanda is a domain-agnostic AIOps platform that helps organizations detect and resolve incidents in their complex IT environments. By unifying and correlating data from monitoring, change, and topology tools, BigPanda enables teams to quickly pinpoint the root cause of issues and prevent costly outages.
Arm processors have long been at the center of mobile computing, powering billions of smartphones, tablets, smartwatches, and other IoT devices. Today, these processors are beginning to see broader adoption in the cloud as they promise better performance, higher energy efficiency, and lower costs than their x86-based predecessors. Just this week, Oracle announced its new Oracle Cloud Infrastructure Ampere A1 Compute platform, built on the Ampere Altra Arm processor.
Amazon Elastic Container Service (ECS) is a managed compute platform for containers that was designed to be simple to configure, with opinionated defaults to help users get started quickly. ECS customers can run containerized workloads on either Amazon EC2 instances or the serverless Fargate platform without having to maintain a control plane—and can easily integrate ECS with other AWS resources, like Network Load Balancers, to architect their infrastructure.
