We’re happy to announce the release of new muting features for Datadog monitors. Scoped monitor muting allows teams to eliminate unnecessary alerting during scheduled maintenance, testing, auto scaling events, and instance reboots. Your teams will therefore be able to filter out expected events and quickly pinpoint critical issues in your infrastructure. Previously, monitor muting was binary: all-or-nothing.
There are several different testing methods you can use as part of your development process to ensure you build high-quality applications. Shift-left testing is one approach that has become popular with agile teams because it enables them to move the testing phase to earlier stages of the development life cycle, which is a primary goal for agile development. Shift-left testing has a few advantages over traditional methods.
Serverless applications streamline development by allowing you to focus on writing and deploying code rather than managing and provisioning infrastructure. To help you monitor the performance of your serverless applications, last year we released distributed tracing for AWS Lambda to provide comprehensive visibility across your serverless applications.
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.
