Software testing is a rapidly evolving landscape where automation has replaced traditional manual practices significantly in recent years. Artificial intelligence (AI) and machine learning (ML) advancements introduced a groundbreaking approach to software testing known as autonomous testing. This article aims to provide a comprehensive guide on autonomous testing tools, highlighting their benefits, and the top tools available.

In a world where data is continuously growing, the need for integrated and centralized data is becoming increasingly important. Businesses are becoming more data-intensive, and by 2025, organizations need to leverage the power of their data to make informed decisions and stay competitive. Data integration plays a crucial role in enabling businesses to access, analyze and act on such data, with the data integration market expected to grow at a fast pace of a CAGR of 11.4% in 2027.

Calling all Splunk Cloud Platform admins! At Splunk, we're dedicated to making your lives easier when it comes to managing various aspects of your Splunk Cloud Platform. One critical aspect that requires your attention is maintenance, which directly impacts the operational efficiency of your deployments. As the capabilities of the Splunk Cloud Platform grow, so do the Splunk-initiated updates like upgrades to keep your deployments up-to-date with the latest features and functionality.

While Artificial intelligence (AI) has invaded many industries, the IT industry is reaping the benefits of AI in software engineering practices. The traditional method of relying solely on human coders throughout the entire development lifecycle is gradually becoming obsolete. Instead, AI-augmented software engineering has come into the arena to make the software engineering process faster, easier, and more reliable.

Throughout my career in technology one thing has rung true — customer and end-user feedback is invaluable. And for us here at Splunk, these treasured insights drive product development. By actively listening to customer needs and incorporating feedback, we ensure our solutions truly address the challenges and aspirations of our users, leading to innovation that makes a meaningful impact.

With the volume of data growing rapidly, metadata has become a crucial component in managing and understanding the vast amounts of data that surround us. From search engine optimization to data security and privacy, metadata plays a vital role in various industries. But what exactly is metadata, and how does it impact our daily lives? Let's dive in and explore the world of metadata, its types, and its significance in various fields.

Change is hard. Instigating change across an organization can feel nearly impossible. Just ask any executive about a time when they tried implementing new rules or introducing new software across the company, and you’ll hear plenty of horror stories. While many of us know the pitfalls associated with making changes that impact multiple stakeholders, there are ways to do it successfully.

Data is like the oxygen that fuels the digital revolution. While critical and readily available, data becomes dangerous when misused. Leaders and users alike are becoming concerned with how organizations can protect data, especially personal information. It’s a complex and dynamic challenge, making it harder than ever to share data to the extent needed to facilitate innovation and research. To meet these challenges, many organizations are leveraging federated data systems.

Do you know what version of your software is running in production? How often is that software deployed, and was it deployed right before last week’s p0 incident? What sort of dependencies are being deployed along with that software, and are any of them potential security risks? These are all common observability questions that may be difficult to answer.

As one of the most innovative, in-demand roles on the market, data scientists are responsible for harnessing the power of data to make valuable predictions and decisions. This blog post takes an in-depth look at what a data scientist does, from mining structured and unstructured data and extracting useful information to using advanced algorithms and technologies like machine learning and artificial intelligence (AI) for decision-making.

Splunk is such an open, extensible and multi-use product that the craziest technical addon ideas are feasible. In this blog, I will tell you why and how I had the idea to transform Splunk into a slide presentation tool.

Managing and monitoring network devices is essential for ensuring the smooth operation of organizations. For this purpose, organizations prefer using SNMP — Simple Network Management Protocol. SNMP is a standard Internet protocol through which network administrators collect information about the status and performance of these devices and configure them. In this article, we'll dive deeper into SNMP monitoring, exploring its different versions and components.

Companies need to rely on connectivity and data to keep up with the competition. Organizations digitize their processes to reduce costs, enhance the customer experience, and improve efficiencies. In fact, 66% of businesses have automated at least one business process. However, as businesses adopt more data, tracking digital processes becomes increasingly complex and challenging. How can you know if these efforts are truly saving your organization time and money?

The Open System Interconnection model (OSI Model) is a foundational concept that shapes how we build digital environments. The OSI Model is a conceptual framework that describes how different computer systems communicate with each other inside network or cloud/internet environments. Today, let’s look at how the OSI Model affects our digital lives, applications and networks.