Telemetry Pipeline Insights & Observability Best Practices
How Apica’s FLOW is solving Pipeline Control Challenges
Observability and event log data are important. What’s more important, however, is the ability to figure out the relevance of the data. In other words, the means to segregate useful data from redundant ones. With a multitude of vendors in the market promising to solve all your log and pipeline issues, it gets challenging to … Read more
All you need to know about AWS Observability
Why choose Apica over Elastic for your self-hosted environment?
The on-premise setup, widely known as an “on-prem environment” or “self-hosted environment“, allows organizations to customize their infrastructure while avoiding the costs associated with public cloud platforms. Running applications and services in an on-premise environment offer a wide array of benefits, especially for organizations that are more heavily regulated. Let’s have a look at how … Read more
Machine Data Analytics: Elucidated
Machine data analytics refers to the process of collecting, storing, and analyzing massive amounts of data generated by machines, such as sensors, industrial equipment, and automation systems. This includes data from personal computers, smartphones, and other domains like servers, networks, websites, applications, programs, SIEM logs, and Financial transaction records. Machine data analytics is a … Read more
Bringing APIs Into the Human Equation
Part Three of the Humanizing Software Quality Series from Intellyx, for Apica In part 1 of this series, Jason English established user journeys as the essential goal of software testing efforts. Then in part 2, he explained why user journeys are so difficult to test. The fundamental lesson across both articles is that the software … Read more
Machine Data vs Machine Learning: What’s the Difference?
Machine learning is a subfield of artificial intelligence that involves using algorithms and statistical models to allow machines to learn from and make decisions based on data. In machine learning, data is used to train algorithms to recognize patterns and make predictions or take actions based on that data. Machine data, on the other hand, refers … Read more
IoT Observability: The Essential Elements
IoT or the “Internet of Things” is one of the most popular technical terms that you’ll hear in business. Now, with the unprecedented growth of cloud technology and the advent of fast networks like 5G in recent years, it has become a household term. Collecting and analyzing data enables businesses to manage their IoT applications … Read more
Observability Challenges and how to tackle them with Apica
With the onslaught of the data wave in recent years, it has become excruciatingly difficult for DevOps, SREs, ITOps, and SecOps to pinpoint and troubleshoot errors and anomalies using traditional observability methods. With that level of complexity, it is challenging to aggregate, correlate, and analyze the performance data, especially on distributed systems. We understand the … Read more
Data Fabric: How does it work?
According to Gartner, Data Fabric is one of the top trends of 2022. They made a remarkable statement saying “Good decisions rely on shared data, but to share the right data at the right time, consider data fabric.” With the unprecedented explosion of data volumes in recent years, it has become challenging for enterprises to … Read more
Prometheus Explained: Modern Guide to Application Monitoring
Prometheus Tutorial: A Guide for Beginners
Why Are User Journeys So Difficult to Test?
Part Two of the Humanizing Software Quality Series from Intellyx, for Apica In our previous post, we established user journeys as the essential goal of software testing efforts. If you were on a desert island and forced to bring only one service level objective of a successful application, you would absolutely want to keep … Read more
