Advanced architecture for digital experience monitoring in large enterprises
Businesses use their digital platforms to communicate with clients, streamline operations, and deliver outstanding experiences. Nowadays, the phrase "digital experience" encompasses all user interactions with online platforms, including navigating mobile apps and dealing with chatbots. In this regard, companies must reevaluate their...
Integrating DEM with legacy systems: Challenges and solutions
Contemporary businesses are aware of how important digital experience management (DEM) is to improving consumer experiences and spurring expansion. However, there are many obstacles to integrating DEM with current, very intricate legacy systems. A planned integration strategy is essential for a smooth transition and to fully utilize...
What happens when networks aren't monitored? Key risks and consequences
Boosting in-app purchase success rates: Five proven strategies for seamless transactions
In-app purchases (IAPs) are the lifeblood of mobile app monetization, but getting users to complete a transaction isn’t always easy. A slow checkout page, a failed payment request, or even a minor delay in loading the purchase screen can make users abandon their purchase altogether.
So, how do you optimize the app conver...
Mastering MySQL connection pooling: Why monitoring matters
MySQL connection pooling is revolutionary because it speeds up queries, conserves resources, and allows applications to handle high traffic effortlessly. Yet here's the catch: If your connection pools aren't monitored properly, they can become hidden bottlenecks that slow everything down. Let's break down what MySQL connec...
AI in server monitoring
As organizations increasingly rely on complex server ecosystems, traditional monitoring methods often struggle to kee pace with the volume and complexity of data generated. AI can be a star player here.
In this article, we will explore how AI is integrated into Site24x7's server monitoring; its benefits; use cases; a...
How digital experience monitoring (DEM) tools improve both customer and employee journeys
Imagine a travel agency: Customers browsing for a dream vacation encounter messy website navigation and longer load times, leading to lost bookings. With a DEM platform, the navigation bottlenecks can be identified. These insights can then be used to refine the website design, providing a more intuitive and efficient user experience whil...
Identifying and fixing deadlocks in Java
Deadlocks are common in multi-threaded applications and can be caused by improper handling of shared resources such as:
Use tools like a thread dump analyzer to analyze the state of threads periodically and identify potential deadlocks.
Cultural change and leadership in adopting DEM for business innovation
Digital experience monitoring, or DEM, is now an essential part of digital enterprises rather than a supplemental tool. It enables businesses to comprehend fully and optimize user interactions across all touchpoints , including internal tools, mobile applications, and websites. But using DEM successfully requires more than just installing new...
Continuous Microsoft app monitoring: A step-by-step approach to iterative optimization
7 pro tips for optimizing AWS Lambda functions
In this guide, we’ll explore key performance bottlenecks and actionable tips to optimize AWS Lambda for speed, scalability, and cost-effectiveness.
Here are some of the common factors affecting Lambda performance:
Tackling geographic discrepancies in user experience for mid-market businesses with real user monitoring
Why APM should be viewed as a long-term strategic investment, not just a cost
Top 10 Kubernetes alerts and why they are essential?
Digital experience monitoring (DEM)-ITSM integration for holistic IT management
With technology progressing at one end, the need for a perfect, glitch-free user experience is also plummeting at the other end. It's a necessity now, and users expect to have smooth expertise irrespective of location, device, and time. There's no other way than to adhere to these needs for businesses.
The age of using tools i...
From detection to resolution: The DEM workflow
DEM is a proactive, data-driven approach that goes beyond problem identification to understand and enhance the entire customer journey. Crucial is the workflow, a laborious process that begins with detection and concludes with resolution.
The first step is to listen to your customers—and their digital interactions. A strong DEM to...
DEM 101: Understanding and implementing digital experience monitoring
Modern businesses need a fast, reliable, and seamless digital experience. Proactive monitoring of the user experience—understanding how users interact with all digital touchpoints—is vital. This blog post explores the fundamentals of this approach, its significance, and key implementation strategies.
DEM is a way to track th...
The critical role of Kafka monitoring in managing big data streams
However, ensuring that your Kafka infrastructure operates smoothly is not a task you can simply set and forget. Due to the large volume of incoming data, issues like system slowdowns, bottlenecks, and unexpected breakdowns can happen at any time. This is why monitoring Kafka is essential. By closely observing system health, performance, and d...
5 strategies to reduce false alerts in server monitoring
There are two types of alerts you don't want:
We call these false alerts. As a person with responsibility over your IT infrastructure, it is natural that you have configured your monitoring systems to alert you at every step. But when these false alerts take up too much of your time, one of these unfortunate scenarios may occu...
The importance of benchmarking in digital experience monitoring
Making sure that users have a smooth, pleasurable experience with your digital platform—whether it be a website, mobile application, or any other online service—is essential for business success. Benchmarking is a crucial technique that can increase the usefulness of digital experience monitoring. By offering a point of comparison...
Why traditional event correlation falls short in modern IT and how AIOps can help
Eodern IT involves an expanding use of AI, enhancements from the DevOps culture, and traditional uses of containers, virtual machines, microservices-led architecture, multiple cloud, and others. Monitoring technology has not entirely caught up with contemporary IT needs due to various reasons. Traditional monitoring methods were often patched...
The ultimate guide to cloud-native application performance monitoring with AWS, GCP, and Azure
The rapid adoption of cloud-native applications has revolutionized how businesses innovate, scale, and optimize costs. These applications leverage microservices, containers, and serverless functions, allowing seamless collaboration across multiple platforms like AWS, GCP, and Azure. However, managing performance in such a distributed environm...
Troubleshooting Kubernetes deployment failures
When something goes wrong during application deployment, it becomes all the more crucial to diagnose the issue methodically and get things back on track. This guide walks you through practical steps for troubleshooting deployment failures efficiently.
A Kubernetes deployment is a vital component for managing and automating the rollout p...
Monitoring for Kubernetes API server performance lags
The Kubernetes API server is considered the core of the control plane. It acts as the main communication hub, processing and validating requests from users, controllers, and other Kubernetes components.
Whether you're deploying a new application, scaling workloads, or retrieving cluster metrics, all interactions go through the API ...
Handling persistent storage problems in Kubernetes clusters
Persistent storage is the backbone of stateful applications running in Kubernetes. Whether you are managing databases, logs, or application states, ensuring transactional data remains intact despite pod restarts or node failures is a challenge. In this blog, we will discuss the most common persistent storage issues in Kubernetes and how to ha...
Enhancing Jenkins performance: Resource optimization for high-traffic workloads
Before diving into optimizations, it's essential to understand how Jenkins consumes resources:
Identifying these bottlenecks through monitoring tools can help optimize Jenkins effectively. You can leverage Site24x7's Jenkins monitoring plugin to track performance issues and stay ahead.
From basics to benefits: A beginner’s guide to cloud computing
Mastering Docker for seamless application deployment
What are Kubernetes audit logs and how to monitor them?
Using Amazon RDS for high availability: How monitoring ensures reliable failover
This blog explores how Amazon RDS achieves high availability, the role of failover, and why proactive monitoring is key for a seamless database experience.
Amazon RDS ensures high availability through Multi-AZ deployments, maintaining a standby replica in a different availability zone. If the primary instance fails, the standby is promo...
Migrating to cloud: Top five reasons
Since the inception of public clouds, a lot of CXOs have considered moving their IT infrastructure to the cloud and many have already done that. If your organization is considering migration to the cloud, learn what drove this mass movement from on-premises servers to the cloud. In this article, we'll explain the major reasons why organi...
Solving slow startup times in Google Cloud Functions for application developers
Free network monitoring: Full network visibility without the cost
How well-designed automations lead to efficient orchestration in AWS
This blog explores how automation-driven orchestration leads to seamless cloud operations and improves efficiency in AWS environments.
Automation in AWS involves executing tasks without manual intervention, such as scaling Amazon Elastic Compute Cloud (EC2) instances, running Lambda functions, or triggering Amazon CloudWatch a...
Kubernetes made simple: A beginner’s guide to managing containers
How APM and synthetic monitoring work together for better performance
Lags are not just an inconvenience—they lead to lost revenue and frustrated users. To prevent this, organizations turn to application performance monitoring (APM) and synthetic monitoring to maintain peak application performance.
In this blog, we will explore why APM and synthetic monitoring work better together and how ...
Diagnosing ActiveMQ broker performance issues with log analysis
How to leverage AI to enhance network monitoring in retail: A CXO's guide
Diagnosing and resolving the 500 internal server error with Apache and Tomcat logs
To diagnose 500 errors effectively, it’s essential to understand the role of each log type:
Apache access logs record all incoming requests to the web server. They provide information such as the:
Why a mobile app is the key to better incident communication
Top reasons why businesses lose trust after acquisition and how you can be smart
Managing resource contention in Google App Engine: Best practices for optimal performance
Challenges in designing AWS architecture
Simplifying Kubernetes architecture for DevOps
Crafting effective cloud architecture diagrams: A comprehensive guide
The top 5 network security threats every CIO should know in 2025
With ransomware attacks on the rise, network misconfigurations are often the weak link that hackers exploit to gain unauthorized access. How secure are your network's configuration settings? Could a small oversight in your firewall or router settings leave your entire network exposed?
Scenario
How to visualize user journeys with Site24x7 to spot opportunities to improve the UX
Resolving Redis connection issues with comprehensive log review
Resolving Kafka consumer lag with detailed consumer logs for faster processing
Latency refers to the time delay between when a message is produced and when it is consumed. As this delay increases, Kafka consumer lag occurs. The slower messages are processed, the greater the consumer lag in your Kafka data stream, impacting overall performance.
Kafka consumer lag occurs when a consumer falls behind in processing me...