Operations | Monitoring | ITSM | DevOps | Cloud

August 2024

Splunk and AppDynamics Log Observer Connect Integration Demo with Akshay Hagaragi

Got the best APM solution? Got the best logging solution? Find out how we are better together with a few straightforward configurations to have the best of both helping you find the root cause of issues faster. Learn more about integrating `Log Observer Connect` with Akshay Hagaragi, Cisco AppDynamics Software Engineer.

Jaeger vs Zipkin - Choosing the Right Tracing Tool

Distributed tracing is becoming a critical component of any application's performance monitoring stack. However, setting it up in-house is an arduous task, and that's why many companies prefer outside tools. Jaeger and Zipkin are two popular open-source projects used for end-to-end distributed tracing. Let us explore their key differences in this article.

Mastering Microservices Logging - Best Practices Guide

Microservices architectures have revolutionized software development, enabling scalability and flexibility. However, they also introduce complexities in system monitoring and troubleshooting. Effective logging is crucial for maintaining visibility and diagnosing issues in these distributed environments. This comprehensive guide explores best practices for microservices logging, helping you navigate the challenges and implement robust logging strategies.

Elasticsearch vs MongoDB - Battle of Search and Store

Elasticsearch is primarily a search engine optimized for fast, complex search queries, especially text searches, and is often used for log and event data analysis. MongoDB, on the other hand, is a general-purpose, document-oriented database that excels in storing and retrieving structured and semi-structured data. It is commonly used for mobile, social, and IoT applications. While Elasticsearch provides superior search capabilities, MongoDB offers more robust data processing and storage features.

Understanding Alert Fatigue - Causes and Prevention Strategies

Alert fatigue plagues cybersecurity and IT professionals, compromising their ability to respond effectively to genuine threats. This phenomenon occurs when an overwhelming volume of alerts desensitizes responders, leading to missed critical notifications and increased security risks. Understanding alert fatigue is crucial for organizations aiming to maintain robust security postures and operational efficiency.

Top 10 APM Tools - Comprehensive Comparison [2024 Guide]

Application Performance Monitoring (APM) tools are essential in software development landscape. As applications become more complex, ensuring they perform optimally has never been more critical. APM tools allow developers to monitor, diagnose, and optimize applications, ensuring a seamless user experience. In this article, we'll explore the top 10 APM tools available today, highlighting their features, pros, and cons to help you make an informed decision.

Cloud Infrastructure Explained - Components and Benefits

Cloud infrastructure provides the hardware and software components that power cloud computing. It allows you to focus on your business logic instead of managing physical resources. In this article, you'll learn about cloud infrastructure, its benefits, and core components. You'll also explore delivery and deployment models that cater to different business needs, and discover how SigNoz can help you monitor and optimize your cloud infrastructure.

Implementing OpenTelemetry in Spring Boot - A Practical Guide

OpenTelemetry can auto-instrument your Java Spring Boot application to capture telemetry data from a number of popular libraries and frameworks that your application might be using. It can be used to collect logs, metrics, and traces from your Spring Boot application. In this tutorial, we will integrate OpenTelemetry with a Spring Boot application for traces and logs. Before the demo begins, let's have a brief overview of OpenTelemetry.

Why is observability important for TableFlow, and how does SigNoz help?

Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. Backed by Y Combinator. SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack.

Platform Engineering - Empowering Developers with Self-Service Tools

In the world of DevOps and cloud engineering, a new buzzword has emerged: Platform Engineering. This concept has sparked discussions across the industry, with professionals debating whether it replaces traditional DevOps or adds value to it. In reality, Platform engineering transforms how software teams work. It builds on DevOps principles to create self-service tools that boost developer productivity. This approach streamlines workflows, enhances security, and cuts operational costs.

DEX vs. DEM - What is Digital Employee Experience (DEX) and how does it differ from Digital Experience Monitoring (DEM)?

Today I’ll cover a few points on DEX vs. DEM. Many organizations have adopted Digital Employee Experience (DEX) Monitoring, and many Digital Experience Monitoring (DEM), some both. Sometimes the terms are used interchangeably, and sometimes these methodologies overlap. I’ll cover a few points that should hopefully clarify the differences and the overlaps.

AppDynamics APM At a glance

Observe and secure your applications across your environments to optimize business outcomes. Get a first-hand overview of how Cisco AppDynamics leads the competition with application performance monitoring that ensures business context helps make optimal decisions through prioritization of the most critical business transactions, improvements to end-user experience, and securing applications from the inside out.

What is Application Performance Monitoring (APM) & How It Works | Obkio NPM Onboarding Series

Welcome to Obkio’s App! In this video, we’ll be exploring the “Application Performance” tab within the app. You can use Application Performance Monitoring (APM) to monitor web and application performance, and more specifically, to test any website or web application from an HTTP or HTTPS point of view. APM helps you understand if network issues are coming from your local network or not.

Datadog vs Dynatrace [Comprehensive Comparison for 2024]

In complex IT environments, monitoring and observability tools are indispensable. They help organizations ensure optimal performance of applications and infrastructure, providing insights and alerts to address potential issues before they impact users. Two of the leading tools in this space are Datadog and Dynatrace. This article offers a comprehensive comparison of these platforms to help you decide which is best for your needs in 2024.

Introducing Log Observer Connect in Action

With Log Observer Connect for Cisco AppDynamics, your team will quickly identify and find the root cause of issues. Combining the most advanced full-stack APM solution with precision log analysis by Splunk, trouble tickets are remediated with less time and effort. See it in action with this demonstration by Leandro Oliveira, Cisco AppDynamics Systems Engineer.

OpenTelemetry vs. OpenTracing - Decoding the Future of Telemetry Data

OpenTelemetry and OpenTracing are open-source projects used to instrument application code for generating telemetry data. While OpenTelemetry can help you generate logs, metrics, and traces, OpenTracing focuses on generating traces for distributed applications. If you’re thinking of choosing between OpenTelemetry and OpenTracing, go for OpenTelemetry. OpenTracing is now deprecated, and users of OpenTracing are advised to migrate to OpenTelemetry.

OpenTelemetry vs Datadog - Choosing the Right Monitoring Tool

OpenTelemetry and DataDog are both used for monitoring applications. While OpenTelemetry is an open source observability framework, DataDog is a cloud-monitoring SaaS service. OpenTelemetry is a collection of tools, APIs, and SDKs that help generate and collect telemetry data (logs, metrics, and traces). OpenTelemetry does not provide a storage and visualization layer, while DataDog does.

Prometheus vs InfluxDB - Key Differences, concepts, and similarities

Prometheus and InfluxDB are open-source projects created to make application performance monitoring a breeze. That is, of course, if you choose the option that covers your entire observability scope. This article compares and contrasts the extent to which Prometheus and InfluxDB remedy the need for real-time insights into your applications’ operations. We’ll highlight similarities and overlaps in both usability and practicality.

Understanding Scale Up vs. Scale Out - And Why You Need to Understand Scale Up vs. Scale Out to Be a Nutanix or HCI Guru

When your IT systems are nearing capacity, you need to make decisions to expand provision, and many of those decisions will revolve around the choices you make to scale up vs scale out. For many the decision is intrinsically linked to their choice of platform and whether they are looking at cloud based, hybrid infrastructure or on-premises led strategies.

Dynatrace vs AppDynamics - A Feature Comparison Guide

Dynatrace and AppDynamics are two of the most well-known Observability and monitoring tools. Even though they share many features, they have several differences that might make you choose one over the other. Dynatrace is great for comprehensive system performance monitoring. It covers everything from infrastructure and application performance to log management and real user monitoring. AppDynamics, on the other hand, focuses more on application performance and business transactions.
Sponsored Post

Effortless error monitoring for Adobe Commerce: Introducing the free Magenizr Raygun module

At Magenizr, we're always looking for tools to make life easier for developers and merchants. Not too long ago, we found ourselves in a bind. We were scouring the Adobe Commerce Marketplace and Github repositories for an error monitoring app tailored for e-commerce shops but came up empty-handed. New Relic was overkill for shops that just needed to pinpoint where errors were cropping up.