Troubleshoot Kubernetes workload issues faster with unified metrics, events, and logs. See how full-stack observability helps identify root causes in minutes.

Diagnosing Abnormal Kubernetes Workload Behavior with Observability

Learn how Grafana Tempo simplifies distributed tracing at scale using object storage and how to get started with TraceQL, Helm, and Grafana

Grafana Tempo: Simplifying Distributed Tracing at Scale

Monitor your Linux servers with Middleware. This guide covers installation, key metrics, alert setup, and best practices to prevent downtime and catch issues early.

How to Monitor Linux Infrastructure with Middleware

Middleware Observability Pipeline helps teams cut noise, reduce costs, and protect data by filtering, enriching, and controlling telemetry before storage.

Mastering Your Data Flow: Introducing the Middleware Observability Pipeline

Introducing Endpoint Monitoring get granular, route-level API insights by combining live traces with OpenAPI specs to detect failures faster and resolve issues with confidence.

Introducing API Endpoint Monitoring

Middleware Notebooks unify investigation notes with live observability data, helping teams collaborate faster, validate root causes, and create reliable incident reports.

Introducing Middleware Notebooks: Turning Incident Chaos into Evidence-Backed Stories

Introducing Middleware AI Dashboard Builder: the easiest way to create production-ready observability dashboards from natural language prompts.”

Announcing the Fastest Way to Build Dashboards with Middleware AI

Learn how real-time anomaly detection works in AI systems. Identify data drift, model performance issues, LLM failures, and GPU anomalies using metrics, traces, and logs with observability platforms like Middleware.

Real-Time Anomaly Detection in AI Models

AI agents detect, analyze, and fix issues on their own, helping DevOps teams save time, reduce errors, and focus on strategic work.

What Are AI Agents? A Comprehensive Guide

Learn how dbt simplifies data transformations using ELT, testing, documentation, and version control to build reliable analytics-ready datasets.

Data Build Tool (dbt): A Complete Guide for Modern Data Teams

A complete guide to Grafana Loki, including label-based log storage, LogQL queries, Kubernetes logging, and LGTM stack integration.

What Is Grafana Loki? A Guide to Effective Log Aggregation

Flaky tests slow CI/CD pipelines and erode trust. Learn why they happen, how to detect them early, and how observability helps eliminate test instability.

What is a Flaky Test? Causes, Identification & Remediation

Continuous profiling helps you detect CPU, memory, and performance issues in production by continuously analyzing real code behavior.

Continuous Profiling: What It is and How it Works

Learn how to monitor mobile app performance with synthetic testing and RUM. Simulate user flows, track APIs, and ensure seamless app experiences. 

How to Monitor Mobile App Performance with Synthetic Testing

AWS Step Functions streamline orchestration, but monitoring remains challenging. This guide explains core concepts, pricing, limitations, and how Middleware improves visibility.

What is AWS Step Functions? How It Works & Use Cases

Discover the top observability trends for 2026, including proactive AIOps, OTel adoption, cost-aware telemetry, and deeper, intelligent insights.

Observability Predictions for 2026

Learn how proactive alerts for slow APIs prevent downtime, reduce latency issues, protect SLAs, and keep your user experience fast and reliable.

Proactive Alerts for Slow APIs

Troubleshoot Kubernetes workloads efficiently with Middleware. Detect CrashLoopBackOff, OOMKilled, and FailedMount errors in real time and reduce downtime.

Troubleshooting Common Kubernetes Workloads Issues with Middleware

This guide explains SNMP monitoring, how SNMP managers and agents work, key metrics to track, SNMPv3 setup, and best practices to keep your network healthy and prevent outages.

SNMP Monitoring: What It Is and How It Works?

User Experience Monitoring helps you track real user behavior, detect problems faster, and improve performance for a smoother, more engaging digital experience.

Real User Monitoring (RUM): 7 Ways to Improve User Experience

Predict and resolve issues before users feel the impact. Middleware’s AI-powered observability delivers instant root-cause insights, faster fixes, and fewer incidents.

Resolve Root Cause Issues with Middleware Before User Impact

Discover how shift-left testing boosts software quality by catching bugs early. See how Middleware enables faster, error-free releases with real-time insights.

Shift-Left Testing: What It Means, Why It Matters, and How to Implement It

Compare OpenTelemetry Collector vs Agent, learn when to use each, and see how Middleware simplifies observability with unified telemetry insights.

OpenTelemetry Collector vs Agent: How to Choose the Right Telemetry Approach

Step-by-step guide to identify root causes, capture real user sessions, and resolve production errors faster with Middleware and intelligent OpsAI insights.

From Alerts to Action: Debugging Live Production Problems

Detect, prevent, and fix DNS issues in real time with Middleware’s intelligent monitoring for faster, reliable, and always-available websites.

How Middleware Detects and Resolves DNS Issues

Explore key observability, AI, and platform engineering insights from KubeCon + CloudNativeCon North America 2025 in Atlanta with Middleware.

What to Expect at KubeCon North America 2025: The Future of Cloud-Native Observability

Discover how Middleware simplifies identifying Root Cause Analysis in complex distributed systems using AI-powered insights, unified visibility, and faster RCA.

Identify Root Cause Analysis in Distributed Systems

Unify synthetic monitoring and distributed tracing with Middleware to proactively detect issues, reduce MTTR, and optimize your app’s performance

Unifying Synthetic Monitoring and Distributed Tracing for Proactive Incident Detection

Discover how Middleware helps you monitor infrastructure proactively with AI alerts, real-time dashboards, and deep visibility to prevent costly outages.

Proactive Infrastructure Health Monitoring Using Middleware

Tired of juggling multiple tools? Middleware unifies logs, metrics, traces, and alerts in one platform, speeding up incident resolution and reducing costs.

Why Engineering Teams are Replacing 3–4 Tools with Middleware

Migrate from ServiceNow Cloud Observability to Middleware for seamless AI-driven monitoring, faster issue resolution, and flexible, cost-efficient observability.

Migration From ServiceNow Cloud Observability to Middleware

Detect and resolve API latency with Middleware APM. Learn real-time monitoring, tracing, and optimization techniques to boost API performance and reliability.

Detecting and Resolving API Latency Issues with Middleware APM

Switching monitoring tools feels risky. This guide shows what your first 4 weeks with Middleware look like from setup to full ROI and cost savings.

What to expect when you switch to Middleware(Day 0 – Week 4)

Learn to troubleshoot common Kubernetes errors like CrashLoopBackOff, OOMKilled, and ImagePullBackOff for smooth pod and cluster performance.

Kubernetes Common Errors & How to Fix Them

Gain clarity on Kubernetes metrics with best practices for collection, analysis, and monitoring. Ensure cluster health, optimize performance, and debug issues faster.

Understanding Kubernetes Metrics: Best Practices for Effective Monitoring

Learn how to restart Kubernetes pods using kubectl, why it matters, and the safest methods plus monitor pods easily with Middleware for smarter decisions.

How to Restart Pods in Kubernetes Using kubectl

Automate complex workloads with a K8 Operator. Simplify scaling, backups, upgrades, and observability for stateful apps like databases and message queues.

Automating Stateful Apps with Kubernetes Operators

Monitor your Kubernetes application clusters with Middleware. Get real-time dashboards, intelligent alerts, auto-discovery of pods and nodes, and centralized logs for smooth operations.

Monitoring Kubernetes Application with Middleware

EKS monitoring helps you track nodes, pods, apps, and security in Kubernetes. This guide explains what to monitor, tools available, and how Middleware makes observability simple.

Amazon EKS Monitoring: Essential Guide to Kubernetes Observability

Exit code 137 in Kubernetes means a container was killed with SIGKILL, usually due to running out of memory (OOMKilled). Learn the common causes, how to diagnose it, and the best fixes to prevent forced pod terminations.

Exit Code 137 in Kubernetes: Causes, Diagnosis, and Fixes

Middleware stood out at KubeCon India 2025 by highlighting AI-driven observability with OpsAI, conducting a container checkpointing session, hosting a pre-event roundtable, and connecting with the cloud-native community through demos, activities, and interactive discussions.

Middleware at KubeCon India 2025

Master debug logging in Node.js and other apps. Learn best practices, avoid common mistakes, and monitor logs efficiently for faster troubleshooting.

Troubleshoot Smarter Using Advanced Debug Logging Techniques 

Every click and form submission matters in your web app. Middleware’s browser tests help you monitor full user journeys, catch hidden issues like JavaScript errors, layout failures, or broken logins, and fix them before they frustrate your users.

Monitor Web App User Journeys with Browser Tests in Middleware

Server health monitoring helps you detect issues early, maintain uptime, and deliver a seamless user experience. This guide covers essential metrics, monitoring methods, and how Middleware simplifies the process with real-time insights and alerts.

Proactive Server Health Monitoring: Avoid Downtime Before It Happens

Production errors waste hours of debugging. Middleware’s Ops AI connects GitHub commit and ownership data directly to errors, helping teams trace issues to the exact code change and owner in seconds.

Troubleshoot Root Causes with GitHub Commit and Ownership Data in Error Tracking

AIOps uses AI and machine learning to automate IT operations, detect issues proactively, and speed up incident resolution for improved system performance.

What is AIOps? A Complete Guide to AI-Powered IT Operations

Discover the differences between OpenTelemetry Vs Prometheus, their use cases, integration options, and how platforms like Middleware offer a simplified observability solution.

OpenTelemetry Vs Prometheus: A Complete Comparison Guide

Learn the most common Python error types, what causes them, and how to handle them.

Python Error Types: Common Errors and How to Handle Them

Is your Node.js app crashing under high traffic? Middleware APM helps you detect and fix performance issues in real-time before users notice with smart monitoring and auto-remediation.

Reducing Error Rates in a High-Traffic Node.js App Using APM

Discover why companies are migrating from Datadog to Middleware; cut costs, reduce noise, and gain full observability without sacrificing features or control.      

Why Businesses Are Migrating From Datadog to Middleware

Grafana vs Datadog: Which observability tool suits your needs best? Compare features, costs, and use cases and see why Middleware could be a better alternative.          

Grafana vs Datadog Comparison Guide : Features, Pricing, Use Cases

Learn how to resolve common Kubernetes issues faster using practical troubleshooting techniques and real-world debugging examples.

Top 10 Kubernetes (K8S) Troubleshooting Techniques

This comparison of Kibana vs. Grafana breaks down their strengths across data sources, dashboards, alerting capabilities, and performance; helping you choose the best fit for your infrastructure and business needs.

Kibana vs Grafana: Comparison Guide for Monitoring, Visualization, and Alerting

Discover how Digital Experience Monitoring with Middleware helps detect issues, optimize user journeys, and ensure reliable performance across web and mobile.     

How Digital Experience Monitoring Transforms User Journeys Across Web & Mobile

Compare two leading observability tools across features, APM, dashboards, pricing, and more. See how Middleware offers a simpler, unified alternative.

Grafana vs New Relic: Which Observability Tool Is Right for You?

Discover 14 common application performance issues that can slow down your app, frustrate users, and hurt revenue. Learn how to detect, troubleshoot, and fix them with proven solutions.

14 Common Application Performance Issues & How to Fix Them

Catch deployment issues before your users do. Learn how Middleware helps DevOps teams monitor errors, latency, and resource spikes in real time—ensuring smooth, reliable releases every time.

How Middleware Helps Catch Deployment Issues Before They Hit Users

Discover how log pattern analysis helps you detect issues faster, reduce noise, and monitor smarter using Middleware’s AI-powered log monitoring tools.

How Log Patterns Help You Debug Faster and Monitor Smarter

We’re excited to launch Ops AI — your new AI observability co-pilot. Built on Middleware’s APM, it helps developers detect, debug, and fix issues faster across the stack. Boost productivity and cut MTTR by 5x with every bug it resolves.

Introducing Ops AI: Observability Co-Pilot to Resolve Your Production Issues Instantly

Learn how to manage Docker container logs effectively to streamline monitoring, troubleshoot issues faster, and optimize application performance.

How to Manage Docker Container Logs for Monitoring & Troubleshooting

Memory leaks can silently slow down or crash your app. Learn why they happen, why developers fear them, and how to fix them quickly with Middleware.

Why Developers Fear Memory Leaks? And How Can Beat them easily.

Get pod-level visibility in Kubernetes with Prometheus PodMonitor. This guide covers setup, use cases like sidecar metrics, and best practices for efficient monitoring.

How to Use Prometheus Pod Monitor for Pod-Level Metrics Collection

Compare top 10 Pingdom alternatives with uptime monitoring, RUM, synthetic checks & APM. Find the best fit by features & pricing.

10 Best Pingdom Alternatives for Modern Website Monitoring

Find out the best ways to reduce latency in order to improve the performance of applications, networks, databases, and infrastructure.

A Comprehensive Guide to Latency Reduction and Performance Optimization

Compare Prometheus, Grafana, and Middleware for your monitoring needs. Learn the key differences, hidden costs of open-source options, and choose the right strategy to prevent costly system downtime.

Prometheus vs Grafana vs Middleware: The Right Monitoring Tool?

Proactively monitor Windows Servers to reduce downtime, boost performance, and strengthen security with real-time insights and alerting.

Windows Server Monitoring: Challenges, Tools, & Best Practices

Prometheus labels are the backbone of powerful monitoring and querying. This guide explains what labels are, why they matter, and how to use them effectively with PromQL to gain deep insights from your metrics.

Prometheus Labels: Understanding and Best Practices

Explore the best infrastructure monitoring tools like Middleware, Datadog, Prometheus, and more. Compare features, pricing, pros and cons to choose the right solution for your IT needs.

10 Best Infrastructure Monitoring Tools of 2026 

Discover the top 5 SolarWinds alternatives in 2026, comparing features and pricing to help you choose the best monitoring tool for your business. Find smarter, more affordable options tailored to your needs.

Top 5 Alternatives to SolarWinds in 2026 (With Pricing & Features)

Track essential API metrics like response time, error rate, and usage to improve performance, user experience, and reliability. Learn what to measure and how.

Understanding API Metrics: What to Monitor in Your API

Explore the best Splunk alternatives for 2026. Compare top tools for log management, observability & monitoring- Middleware, Grafana, Datadog & more.

Top Splunk Alternatives (2026) for Log Management & Monitoring

Learn how to use and customize the Python logging format to improve debugging and monitoring. Explore format options, examples, and best practices for clean, readable logs.

Mastering Python Logging Format: A Complete Guide for Developers

Explore the best Sentry alternatives for 2026, comparing pricing, features, and ecosystem options to find the right fit for your error tracking and observability needs.

8 Best Sentry Alternatives for Error Monitoring in 2026

Learn how to monitor and troubleshoot your scheduled tasks using crontab logs to ensure reliable automation. This guide covers log access, output redirection, and common error fixes.

Crontab Logs: How to Monitor and Troubleshoot Scheduled Tasks

Master microservices monitoring by understanding crucial monitoring metrics with proven best practices and using tools like Middleware to ensure reliability, performance, and scalability in your distributed systems.

Mastering Microservices Monitoring

Kubernetes vs Docker – discover the key differences, use cases, and how they power modern DevOps and container orchestration.

Kubernetes vs Docker: Understanding Their Roles and Differences

Learn the fundamentals of application logs, why they matter, and how developers can use them to monitor, debug, and optimize software performance.

Application Logs 101: Essential Knowledge for Developers

Compare Datadog vs Dynatrace across infrastructure monitoring, APM, log management, security, pricing and more. Find the best observability tool for your team in 2026.

Datadog vs Dynatrace: The Ultimate Comparison Guide for 2026

Looking for a more affordable and easy to use alternative to New Relic? Check out our top picks with the best features and flexibility.

Top New Relic Alternatives for Modern Observability in 2026

Discover how anomaly detection is used to identify unusual patterns in systems to prevent operational failures, security breaches, and attacks. Learn about detection techniques, use cases, and how to choose the right tools to protect your business operations.

Understanding Anomaly Detection

​Datadog and New Relic are leading observability tools, each offering unique features and pricing models. Evaluating their capabilities helps determine the best fit for your organization's monitoring needs.​

Datadog vs New Relic: Choosing the Right Observability Tool

Discover best practices for log formatting and structured logging to improve readability, simplify debugging, and enhance system monitoring across your applications.

Log Formatting Guide: Best Practices

Understand systemctl logs in Linux—how to view, filter, and troubleshoot system logs efficiently using journalctl and systemd commands.

Guide to Using Systemctl Logs

Middleware and Kapstan Join Forces to Enhance Kubernetes Observability for Developers

Kapstan Partner with Middleware to Maximize Developer Experience with Observability

Learn how to collect, analyze, and visualize Prometheus metrics effectively. This step-by-step guide covers counters, gauges, histograms, and summaries to help you monitor system performance with ease.

Detailed Guide to Prometheus Metrics

Simplify troubleshooting with OpenTelemetry Logging. Learn how to collect OTel logs using Middleware for efficient distributed system management.

OpenTelemetry Logs: A Complete Guide

Optimize Linux Server Performance: Prevent CPU Overload with Smart Monitoring & Load Balancing

How to Lower CPU Usage and Prevent CPU Overload on Linux Servers

Learn about log levels (DEBUG, INFO, WARN, ERROR, FATAL) and how they improve observability, data ingestion, and system performance with best practices.

Understanding Common Log Levels in Details

Discover top Prometheus Alternatives with better scalability, storage, and AI-powered observability for more efficient cloud and monitoring.

Prometheus Alternatives: Top Tools for Monitoring and Observability

Track and monitor core web vitals with RUM and Synthetic Monitoring to improve website performance and user experience.

Monitor Core Web Vitals With Rum And Synthetic Monitoring

We tested them in a real-world cloud stack to uncover which tool deserves a place in your monitoring arsenal (and why most teams need both).

Prometheus vs Grafana: Which Tool Suits Your Monitoring Needs?

Learn how OpenTelemetry metrics can help you track performance, optimize resources, and integrate with existing tools to improve overall observability and tackle issues before they start affecting end users.

Understanding OpenTelementry Metrics: Type, Models and Best Practices

Learn what container monitoring is, why it’s essential for performance and security, and the best practices to ensure seamless management of containerized applications.

What is Container Monitoring?

Looking for the best Datadog alternatives in 2026? Explore top monitoring and observability tools that offer better pricing, easier integrations, and robust features.

5 Best Datadog Alternatives to Consider in 2026

This blog provides a step-by-step guide on how Prometheus works, focusing on its metrics collection and analysis capabilities.

How Does Prometheus Work?

Explore the top 10 observability trends for 2025, including AI insights, cost optimization, and security integration for modern IT infrastructure.

Top 10 Observability Trends for 2025

How is Middleware better than AWS Cloudwatch for monitoring

Learn about Observability 2.0 and its key differences to improve monitoring, performance, and system insights.

What is Observability 2.0?

Discover how GCP Monitoring and Middleware’s observability platform provide real time insights, proactive scaling, and incident management for complex cloud-native systems.

What is GCP Monitoring?

Discover how Azure Monitoring and Middleware’s observability platform enable real time performance tracking, proactive scaling, and incident management for cloud native architectures.

What is Azure Monitoring?

Read how observability can scale your cloud infrastructure, best practices, how-tos guide and industry updates from experts.

Experience. Insights. Influence.

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