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Send your logs to multiple destinations with Datadog's managed Log Pipelines and Observability Pipelines

As your infrastructure and applications scale, so does the volume of your observability data. Managing a growing suite of tooling while balancing the need to mitigate costs, avoid vendor lock-in, and maintain data quality across an organization is becoming increasingly complex. With a variety of installed agents, log forwarders, and storage tools, the mechanisms you use to collect, transform, and route data should be able to evolve and adjust to your growth and meet the unique needs of your team.

Revolutionizing call center management: The power of Full-Stack Observability with UCCE/PCCE

Full-stack observability with Cisco AppDynamics revolutionizes call center management, optimizing performance, improving customer experience and driving business success. Full-stack observability has revolutionized call center management by integrating Cisco AppDynamics into Cisco Unified Contact Center Enterprise (UCCE). Let’s explore the value of UCCE monitoring and its ability to deliver exceptional customer experiences.

CMDB Definition, Benefits, And Best Practices

Managing and maintaining a complex IT infrastructure throughout an organization is no small feat. If this is your case, implementing a CMDB (Configuration Management Database) to support your IT Asset Management strategy will make a big difference. In a nutshell, a CMDB is at the core of the ITIL Configuration Management process since it enables you to capture a larger number of Configuration Items (CIs), their interdependencies, and any possible changes they might face.

Integration roundup: Monitoring your AI stack

Integrating AI, including large language models (LLMs), into your applications enables you to build powerful tools for data analysis, intelligent search, and text and image generation. There are a number of tools you can use to leverage AI and scale it according to your business needs, with specialized technologies such as vector databases, development platforms, and discrete GPUs being necessary to run many models. As a result, optimizing your system for AI often leads to upgrading your entire stack.

7 OpenTelemetry Metrics to Track for Better Visibility

In today’s rapidly evolving software landscape, ensuring observability is crucial for building robust and reliable applications. One of the critical components of observability is metrics, which provide valuable insights into the performance and behavior of our systems. OpenTelemetry, an open-source observability framework, offers a standardized approach to capturing, exporting, and analyzing metrics. This blog post explores seven OpenTelemetry metrics for tracking better visibility.

Enhance code reliability with Datadog Quality Gates

Maintaining the quality of your code becomes increasingly difficult as your organization grows. Engineering teams need to release code quickly while still finding a way to enforce best practices, catch security vulnerabilities, and prevent flaky tests. To address this challenge, Datadog is pleased to introduce Quality Gates, a feature that automatically halts code merges when they fail to satisfy your configured quality checks.

Anything But Tech Debt

Tech debt is usually one of the most fraught topics on engineering teams. Engineers often feel they aren’t allowed enough time to address tech debt. Product partners wonder why engineers spend so much time working on it—or at least talking about it. “The business” always seems to insinuate that engineers should do less of it, instead focusing on shipping value to customers.

Kubernetes Incident Management Best Practices

Creating just any infrastructure on Kubernetes is not enough. There are so many basic configurations you could apply and create the infrastructure for your application for the time being and it might work just fine. The incident responses won’t always remain 100% reliable. You will run into newer potholes, and that’s okay.

Getting started with AWS CloudWatch

Out of more than 100 services that Amazon Web Services (AWS) provides, Amazon CloudWatch was one of the earliest services provided by AWS. CloudWatch was announced on May 17th, 2009, and it was the 7th service released after S3, SQS, SimpleDB, EBS, EC2, and EMR. AWS CloudWatch is a suite of tools that encompasses a wide range of cloud resources, including collecting logs and metrics; monitoring; visualization and alerting; and automated action in response to operational health changes.