Operations | Monitoring | ITSM | DevOps | Cloud

In the ever-evolving landscape of cybersecurity, the year 2024 presents unprecedented challenges and opportunities. As organizations continue to embrace digital transformation, the need for robust security measures has never been more critical. New and emerging threats posed by Generative AI, Unsecured API integrations, agile cloud environments, and easy access to sophisticated nefarious code creation are driving the increase in the frequency, volume, and success rate for cybercriminals.

Developing a native Android app is a challenging task that requires a deep understanding of the Android SDK, as well as programming languages such as Java or Kotlin. The process requires navigating various tools, frameworks, and APIs, each with its own rules. On top of that, you need to ensure compatibility and optimal performance across the diverse Android ecosystem, with its multitude of devices, screen sizes, and OS versions.

At LogicMonitor, we are deeply committed to a mission that goes beyond the conventional: revolutionizing IT monitoring through hybrid observability powered by AI. This ambition is not merely a slogan but the cornerstone of our entire approach. Our LM Envision platform was purposely designed to bring together diverse IT environments under one seamless, integrated experience. Enterprises have complex IT ecosystems.

IT downtime is no doubt a costly business. As soon as service starts to degrade, companies start to lose money. Studies by Gartner and IBM show that the average cost of unplanned downtime to enterprises ranges between a staggering $5,600 and $9,000 per minute. For ecommerce businesses, like Amazon, the stakes are even higher, potentially resulting in a loss of up to $220,000 for every minute of downtime.

Kentik Journeys uses an AI-based, large language model to explore data from your network and troubleshoot problems in real time. Using natural language queries, Kentik Journeys is a huge step forward in leveraging AI to democratize data and make it simple for any engineer at any level to analyze network telemetry at scale.

Cribl Stream and Cribl Edge can send data to Splunk in several different ways. In this blog post, we’ll focus on the common scenario where you want to connect Cribl Stream’s Splunk Load Balanced Destination to many Splunk Indexers at once. (We’ll talk about Cribl Stream, but what we say applies to Cribl Edge, too.) Cribl Destinations settings default to reasonable values. Sometimes Cribl Support recommends changing those values for better results in a given situation.

In the age of digital acceleration, application performance monitoring (APM) acts as a sentinel, empowering organizations to maintain, analyze, and optimize the health of their digital ecosystems. However, as organizations navigate the intricacies of distributed architectures, hybrid cloud deployments, and dynamic workloads, they confront a complex terrain marked by data proliferation, siloed environments, and a scarcity of skilled personnel.

Splunk had just celebrated its 20th anniversary. The business was growing. Customers were loyal. So why would we consider refreshing our brand? The answer is simple, if you aren’t growing, you’re declining. Just like people, brands need to adapt and grow so they stay relevant. For us, part of our growth was reaching new audiences and launching new products. Which meant as brand stewards, we needed to update our brand to better connect with these new opportunities.

As our networks change and evolve, businesses alike are increasingly reliant on the Internet for communication, collaboration, and data exchange. With the demand for uninterrupted connectivity at an all-time high, many businesses are turning to Internet multihoming setups to enhance their network performance and ensure a seamless online experience for their users.