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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Top 10 Change Management Tools

Changes to software are inevitable and fundamental part of growth for any organization, however, change is often not straightforward. It can affect numerous aspects of a company and requires collaboration among all stakeholders. This is where change management tools come in to assist you with this. There’s currently a wide range of change management tools available, each providing benefits to specific scenarios and weaknesses to others.

A guide to scaling OpenTelemetry Collectors across multiple hosts via Ansible

OpenTelemetry has emerged as a key open source tool in the observability space. And as organizations use it to manage more of their telemetry data, they also need to understand how to make it work across their various environments. This guide is focused on scaling the OpenTelemetry Collector deployment across various Linux hosts to function as both gateways and agents within your observability architecture.

Control your log volumes with Datadog Observability Pipelines

Modern organizations face a challenge in handling the massive volumes of log data—often scaling to terabytes—that they generate across their environments every day. Teams rely on this data to help them identify, diagnose, and resolve issues more quickly, but how and where should they store logs to best suit this purpose? For many organizations, the immediate answer is to consolidate all logs remotely in higher-cost indexed storage to ready them for searching and analysis.

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

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.

Dual ship logs with Datadog Observability Pipelines

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.