The dynamic landscape of technology has ushered in a new era of data management and storage. As organizations grapple with the vast amount of data they generate and collect, cloud data management and storage have become invaluable solutions. Yet, this convenience comes with its own set of challenges.
If generative AI is innovative for enterprises in 2023, being cloud-based is ubiquitous. What that means is that the data today is extremely voluminous and complex. Not to mention that all that data needs proactive monitoring and analysis. Thus, data in observability and monitoring can often be complex and challenging to understand due to its sheer volume and diversity.
In the ever-evolving landscape of technology and business, mergers and acquisitions have become a common occurrence. The latest buzz in the tech world revolves around the Cisco-Splunk acquisition, in which the former acquires the latter for a staggering $28 billion! This marks the fifth major acquisition in the AIOps and Observability space this year alone, following SumoLogic, OpsRamp, Moogsoft, and New Relic.
Microservices architecture has become increasingly popular in modern software development due to its scalability, resilience, and flexibility. However, with the benefits of microservices come the challenges of debugging and monitoring these distributed systems. Using the Istio service mesh, OpenTelemetry distributed tracing, and Apica’s Kubernetes-native observability platform, developers can easily collect and visualize performance data in real-time to identify and fix issues quickly.
In the ever-evolving landscape of digital performance monitoring and observability, Apica has proven once again that it stands at the forefront of innovation. The recent recognition of Apica’s exceptional contributions comes in the form of the prestigious Silver Stevie Award in the Product & Service Category. The winners were announced in the 20th International Business Awards on August 14, 2023. We are elated to win the Silver Stevie Award in the category of (IoT) Analytics Solutions.
In the world of observability, having the right amount of data is key. For years Apica has led the way, utilizing synthetic monitoring to evaluate the performance of critical transactions and customer flows, ensuring businesses have important insight and lead time regarding potential issues.
In the previous article, we talked about Distributed Tracing with MuleSoft APIs using OpenTelemetry. In this post, we’ll go through the process of integrating Distributed Tracing with MuleSoft APIs using OpenTelemetry via a proxy server. The purpose of this article is to demonstrate how we can instrument a legacy mule app with open telemetry without making changes to the existing app. Here, we’re showing an example of getting data from a header as well as a query parameter.
Distributed tracing enhances observability by providing detailed insights into the performance, behavior, and dependencies of your distributed system. It empowers you to proactively identify and resolve issues, optimize performance, and deliver a reliable and high-performing application.
Data Centralization emerges as a necessity in the cloud world now that data is omnipresent. Gone are the days when different teams had to rely on document sharing and wait till the data gets to them. With AIOps, data can be centralized and teams can have access to it in near real-time. This is a great opportunity for organizations to take advantage of the latest technology and leverage its power to solve their problems efficiently.
The popularity of open-source log management tools has been on a steady rise in recent years. As businesses become increasingly reliant on software applications and cloud-based services, logging has become an essential part of operations. Log management is a crucial process for organizations to collect, store, and analyze log data. Businesses can troubleshoot problems, identify security threats, and optimize system performance by effectively managing log data.
