Elasticsearch is a JSON-based database leaning heavily towards the unstructured types within the databases available out there. ( Postgres and MySQL are purely structured, while NoSQL is entirely unstructured). It interacts through restful APIs and provides a central unit system combining several datasets arising out of logs, metrics, and application trace data. A quick comparison with relational database management systems (RDBMS) will tell us their similarities.

Have you ever wanted to build an application that responds to user activity? Laravel events and listeners can help you achieve that. In this tutorial, you'll learn how to create events and respond to them in your Laravel applications.

Every organization contends with numerous moving parts that drive business forward. But they can be inefficient and convoluted – in fact, Forrester research shows that 71% of organizations use 10 or more applications for a single business process. To make matters worse, only 16% of companies have complete visibility over their own processes. This is where process mining can help. How can you gain more clarity so you can improve efficiency within your organization?

If you were to wake me up at 3 am and ask me how Rookout differs from logs (or other pillars of Observability, for that matter), my answer would have focused on the agile nature of live debugging. I would have explained that Non-Breaking Breakpoints empower you to decide in real-time what data you need. Traditionally, you would use whatever logs (or metrics and spans) happen to be in the code and work backward from there.

Codes are the core of any application program. These codes can make or break a program. If you are a developer you might have come across certain fault lines while executing a program. Yes, I meant the errors and exceptions. In Java, errors and exceptions are both types of throwable objects that can be thrown by the Java Virtual Machine (JVM) or by Java code.

There are many aspects of application performance, but they broadly fall into two categories: frontend performance and backend performance. As a tester, it’s important to know the differences between the two and how that impacts the way you approach your tests. In this blog, I’ll provide a high-level overview of frontend performance testing and backend performance testing, including pros and cons of each one.

In day-to-day life, everything is driven by events. If the phone rings, you pick it up. If the timer on the oven pings, you switch it off. These are all examples of event-driven reactions, where the action is based on the conditions surrounding it. How does this relate to business IT systems? To begin to understand this, it helps to think of your company as a collection of events. Some of these events occur over and over, such as customer purchases or CRM data entry.

With increased applications developed by different engineering teams on Kafka comes increased need for data governance. JSON is often used when streaming projects bootstrap but this quickly becomes a problem as your applications iterate, changing the data structures with add new fields, removing old and even changing data formats. It makes your applications brittle, chaos ensues as downstream consumers fall over due to miss data and SREs curse you.

Data integration is the process of combining data from different sources and formats to create a unified and consistent view of the data. This involves merging data from multiple databases, applications, and other sources into a single repository, and transforming and formatting data so that it can be easily accessed and analyzed. Data assets need quality controls to ensure they are valid and reliable as many teams within an organization leverages the same data for different purposes.

Traditional forms of enterprise project management are constantly evolving as the field matures and expands. Although these ways of thinking have been successful in the past, changes to the ways we work, lightning-fast globalization, and the increased use of Agile across industries require a new way of working. As a result, structuring an Agile Project Management Office (PMO) is the next logical step. But what is an Agile PMO? Agile PMO is a modern take on Project Management techniques.