The Mezmo blog

The Runbook Problem: How AURA Documents What Teams Don’t Have Time to Write
AURA in practice: real-world use cases for production AI agent infrastructure
Why we open-sourced AURA: Infrastructure for production AI
The Grok-to-AI Evolution: Why Modern SREs Are Moving Beyond Manual Parsing
2026 Resolution: Take Back Control of Your Observability Spend
AI SRE Update: Your Feedback Shaped Our Latest Release
Your Easiest 2026 Resolution: Simplify the Collection Layer and Move to OTel Without the Agent Sprawl
New Year, New Telemetry: Resolve to Stop Breaking Dashboards
The Observability Stack is Collapsing: Why Context-First Data is the Only Path to AI-Powered Root Cause Analysis
Mezmo + Catchpoint deliver observability SREs can rely on
Mezmo’s AI-powered Site Reliability Engineering (SRE) agent for Root Cause Analysis (RCA)
What is Active Telemetry
Launching an agentic SRE for root cause analysis
Paving the way for a new era: Mezmo's Active Telemetry
The Answer to SRE Agent Failures: Context Engineering
Empowering an MCP server with a telemetry pipeline
The Debugging Bottleneck: A Manual Log-Sifting Expedition
The Smartest Member of Your Developer Ecosystem: Introducing the Mezmo MCP Server
Your New AI Assistant for a Smarter Workflow
The Observability Problem Isn't Data Volume Anymore—It's Context
Beyond the Pipeline: Data Isn't Oil, It's Power.
The Platform Engineer's Playbook: Mastering OpenTelemetry & Compliance with Mezmo and Dynatrace
From Alert to Answer in Seconds: Accelerating Incident Response in Dynatrace
Taming Your Dynatrace Bill: How to Cut Observability Costs, Not Visibility
Architecting for Value: A Playbook for Sustainable Observability
How to Cut Observability Costs with Synthetic Monitoring and Responsive Pipelines
Unlock Deeper Insights: Introducing GitLab Event Integration with Mezmo
Introducing the New Mezmo Product Homepage
The Inconvenient Truth About AI Ethics in Observability
Observability's Moneyball Moment: How AI Is Changing the Game (Not Ending It)
Top Five Reasons Telemetry Pipelines Should Be on Every Engineer’s Radar
Is It a Cup or a Pot? Helping You Pinpoint the Problem—and Sleep Through the Night
Smarter Telemetry Pipelines: The Key to Cutting Datadog Costs and Observability Chaos
Why Datadog Falls Short for Log Management and What to Do Instead
Telemetry for Modern Apps: Reducing MTTR with Smarter Signals
Transforming Observability: Simpler, Smarter, and More Affordable Data Control
Datadog: The Good, The Bad, The Costly
Mezmo Recognized with 25 G2 Awards for Spring 2025
Reducing Telemetry Toil with Rapid Pipelining
Cut Costs, Not Insights:   A Practical Guide to Telemetry Data Optimization
Webinar Recap: Telemetry Pipeline 101
My Favorite Observability and DevOps Articles of 2024
How Mezmo Uses a Telemetry Pipeline to Handle Metrics, Part II
Webinar Recap: 2024 DORA Report: Accelerate State of DevOps
Announcing Mezmo Flow: Build a Telemetry Pipeline in 15 minutes
Key Takeaways from the 2024 DORA Report
Webinar Recap | Telemetry Data Management: Tales from the Trenches
What are SLOs/SLIs/SLAs?
Webinar Recap | Next Gen Log Management: Maximize Log Value with Telemetry Pipelines
Creating Re-Usable Components for Telemetry Pipelines
Optimizing Data for Service Management Objective Monitoring
More Value From Your Logs: Next Generation Log Management from Mezmo
Dogfooding at Mezmo: How we used telemetry pipeline to reduce data volume
Unlocking Business Insights with Telemetry Pipelines
Why Your Telemetry (Observability) Pipelines Need to be Responsive
Data Optimization Technique: Route Data to Specialized Processing Chains
Data Privacy Takeaways from Gartner Security & Risk Summit
Mastering Telemetry Pipelines: Driving Compliance and Data Optimization
A Recap of Gartner Security and Risk Summit: GenAI, Augmented Cybersecurity, Burnout
Why Telemetry Pipelines Should Be A Part Of Your Compliance Strategy
Pipeline Module: Event to Metric
Telemetry Data Compliance Module
OpenTelemetry: The Key To Unified Telemetry Data
Data optimization technique: convert events to metrics
What’s New With Mezmo: In-stream Alerting
How Mezmo Used Telemetry Pipeline to Handle Metrics
Webinar Recap: Mastering Telemetry Pipelines - A DevOps Lifecycle Approach to Data Management
Open-source Telemetry Pipelines: An Overview
SRECon Recap: Product Reliability, Burn Out, and more
Webinar Recap: How to Manage Telemetry Data with Confidence
Webinar Recap: Myths and Realities in Telemetry Data Handling
Using Vector to Build a Telemetry Pipeline Solution
Managing Telemetry Data Overflow in Kubernetes with Resource Quotas and Limits
How To Optimize Telemetry Pipelines For Better Observability and Security
Gartner IOCS Conference Recap: Monitoring and Observing Environments with Telemetry Pipelines
Webinar Recap: Best Practices for Observability Pipelines
Introducing Responsive Pipelines from Mezmo
My First KubeCon - Tales of the K8’s community, DE&I, sustainability, and OTel
Modernize Telemetry Pipeline Management with Mezmo Pipeline as Code
Kubernetes Telemetry Data Optimization in Five Steps with Mezmo
Introducing Mezmo Edge: A Secure Approach To Telemetry Data
Understand Kubernetes Telemetry Data Immediately With Mezmo’s Welcome Pipeline
Unearthing Gold: Deriving Metrics from Logs with Mezmo Telemetry Pipeline
Webinar Recap: The Single Pane of Glass Myth
Empower Observability Engineers: Enhance Engineering With Mezmo
Webinar Recap: How to Get More Out of Your Log Data
Unraveling the Log Data Explosion: New Market Research Shows Trends and Challenges
Webinar Recap: Unlocking the Full Value of Telemetry Data
Data-Driven Decision Making: Leveraging Metrics and Logs-to-Metrics Processors
How To Configure The Mezmo Telemetry Pipeline
Supercharge Elasticsearch Observability With Telemetry Pipelines
Enhancing Grafana Observability With Telemetry Pipelines
Optimizing Your Splunk Experience with Telemetry Pipelines
Webinar Recap: Unlocking Business Performance with Telemetry Data
Enhancing Datadog Observability with Telemetry Pipelines
Transforming Your Data With Telemetry Pipelines
6 Steps to Implementing a Telemetry Pipeline
Webinar Recap: Taming Data Complexity at Scale
Webinar Recap: Observability Data Orchestration
Deciding Whether to Buy or Build an Observability Pipeline

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