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Aggregate, process, and route logs easily with Datadog Observability Pipelines

Apr 18, 2024 By Candace Shamieh In Datadog
The volume of logs generated from modern environments can overwhelm teams, making it difficult to manage, process, and derive measurable value from them. As organizations seek to manage this influx of data with log management systems, SIEM providers, or storage solutions, they can inadvertently become locked into vendor ecosystems, face substantial network costs and processing fees, and run the risk of sensitive data leakage.
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Dual ship logs with Datadog Observability Pipelines

Apr 18, 2024 By Kaushik Akula In Datadog
Organizations often adjust their logging strategy to meet their changing observability needs for use cases such as security, auditing, log management, and long-term storage. This process involves trialing and eventually migrating to new solutions without disrupting existing workflows. However, configuring and maintaining multiple log pipelines can be complex. Enabling new solutions across your infrastructure and migrating everyone to a shared platform requires significant time and engineering effort.
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A closer look at our navigation redesign

Apr 16, 2024 By Kay Dobesh In Datadog
Helping our users gain end-to-end visibility into their systems is key to the Datadog platform— to achieve this, we offer over 20 products and more than 700 integrations. However, with an ever-expanding, increasingly diverse catalog, it’s more important than ever that users have clear paths for quickly finding what they need.
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Recapping Datadog Summit London 2024

Apr 12, 2024 By Ara Pulido In Datadog
In the last week of March 2024, Datadog hosted its latest Datadog Summit in London to celebrate our community. As Jeremy Garcia, Datadog’s VP of Technical Community and Open Source, mentioned during his welcome remarks, London is the first city that has seen two Datadog Summits, with the first one in 2018. It was great to be able to see how our community there has grown over the past six years.
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Stay up to date on the latest incidents with Bits AI

Apr 10, 2024 By Jordan Obey In Datadog
Since the release of ChatGPT, there’s been growing excitement about the potential of generative AI—a class of artificial intelligence trained on pre-existing datasets to generate text, images, videos, and other media—to transform global businesses. Last year, we released our own generative AI-powered DevOps copilot called Bits AI in private beta. Bits AI provides a conversational UI to explore observability data using natural language.
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Monitor SQS with Data Streams Monitoring

Apr 4, 2024 By Nancy Zhu In Datadog
Datadog Data Streams Monitoring (DSM) provides detailed visibility into your event-driven applications and streaming data pipelines, letting you easily track and improve performance. We’ve covered DSM for Kafka and RabbitMQ users previously on our blog. In this post, we’ll guide you through using DSM to monitor applications built with Amazon Simple Queue Service (SQS).
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Empower engineers to take ownership of Google Cloud costs with Datadog

Apr 2, 2024 By Emily Chang In Datadog
Google Cloud provides a wide range of services and tools to help engineering teams reduce the complexity of migrating and deploying applications in the cloud. As engineering teams work to improve the performance, reliability, and security of their applications, they also need to be conscious of cloud costs. But engineers often don’t have access to cost data, or they only see cost data in monthly reports.
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Filter and correlate logs dynamically using Subqueries

Apr 1, 2024 By Jordan Obey In Datadog
Logs provide valuable information that can help you troubleshoot performance issues, track usage patterns, and conduct security audits. To derive actionable insights from log sources and facilitate thorough investigations, Datadog Log Management provides an easy-to-use query editor that enables you to group logs into patterns with a single click or perform reference table lookups on-the-fly for in-depth analysis.
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Best practices for monitoring software testing in CI/CD

Mar 27, 2024 By Bowen Chen In Datadog
A key challenge of monitoring your CI/CD system is understanding how to optimize your workflows and create best practices that help you minimize pipeline slowdowns and better respond to CI issues. In addition to monitoring CI pipelines and their underlying infrastructure, your organization also needs to cultivate effective relationships between platform and development teams.
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Fine-tune observability configurations for all your Azure integrations in one place

Mar 26, 2024 By Michael Cronk In Datadog
Microsoft Azure provides an array of managed services to support many aspects of cloud computing, including application development, workload migration, and data management. To help you monitor the health and performance of these services, Datadog offers integrations with more than 40 Azure services, including Azure Kubernetes Service (AKS), Cosmos DB, and Azure App Services. Each integration provides robust data visualizations, meaningful alerts, and one-click Datadog Agent deployment.
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