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Kibana vs. Grafana - A Scenario-Based Decision Guide [2024]

Both Kibana and Grafana are data visualization tools providing users capabilities to explore, analyze and visualize data with dashboards. The difference between Kibana and Grafana lies in their genesis. Kibana was built on top of the Elasticsearch stack, famous for log analysis and management. In comparison, Grafana was created mainly for metrics monitoring supporting visualization for time-series databases.

Top 14 ELK alternatives [open source included] in 2024

ELK is the acronym Elasticsearch, Logstash, and Kibana, and combined together, it is one of the most popular log analytics tools. Elastic changed the license of Elasticsearch and Kibana from the fully open Apache 2 license to a proprietary dual license. The ELK stack is also hard to manage at scale. In this article, we will discuss 14 ELK alternatives that you can consider using.

A Lightweight Open Source ELK alternative

ELK is the acronym Elasticsearch, Logstash, and Kibana, and combined, it is one of the most popular log analytics tools. Elastic changed the license of Elasticsearch and Kibana from the fully open Apache 2 license to a proprietary dual license. The ELK stack is also hard to manage at scale. SigNoz can be used as a lightweight alternative to the ELK stack.

Will Broadcom's plans for VMware affect you?

It is an unsettling time for many of our partners and customers, particularly those leveraging VMware technologies such as VDI and server virtualization, with uncertainty of Broadcom’s plans after their recent acquisition of VMware and likely changes to licensing costs, SKUs, product availability and so on.

6 best practices for application performance monitoring

In today’s digital era, where applications are the lifeline of many businesses, the importance of monitoring and observing their performance is undeniable. It’s not just about keeping systems up; it’s about understanding how applications behave and ensuring they meet the ever-growing expectations of users. Let’s take a look at six best practices in application performance monitoring that organizations can implement to set themselves up for success.

Elevate Your Shopify Design: 6 Steps to Improve Your Shopify Store Design

As of 2024, there are over 4.8 million live websites powered by Shopify. With a substantial 16.36% of the global e-commerce market share since 2023, Shopify has firmly established itself as a powerhouse in the realm of e-commerce. In the U.S. market, its dominance is even more pronounced, commanding about 28% of the e-commerce software market last June 2023. This impressive growth trajectory highlights Shopify’s effectiveness in providing businesses with the tools they need to succeed online.

Monitoring your FastAPI application with OpenTelemetry

FastAPI is a modern Python web framework based on standard Python type hints that makes it easy to build APIs. It's a relatively new framework, having been released in 2018 but has now been adopted by big companies like Uber, Netflix, and Microsoft. Using OpenTelemetry, you can monitor your FastAPI applications for performance by collecting telemetry signals like traces. FastAPI is one of the fastest Python web frameworks currently available and is really efficient when it comes to writing code.

Improve Cloud Visibility with JFrog's SaaS Log Streamer

The beauty of deploying SaaS-based applications is that you don’t have to worry about building the infrastructure, hiring engineers to maintain it, staying on top of upgrades or worry about application security. Indeed, these are some of the main benefits you get by using a SaaS offering. However, the world of software is full of trade-offs, so, what do you lose out on?
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Ensuring software quality with integration testing

Before the Raygun API limited release last year, we'd been consistently receiving requests for a public API for a long time, to provide a way for our customers to access their Raygun data programmatically. We're now proud to say we're providing a public API with a range of endpoints, but it took us a lot of planning and development to get here! In this post, I'd like to take you back to the beginning of development on our big API project. Specifically, I want to walk through the pivotal decisions we made around testing when we started development on the project, and how (and why) these have paid off.