DDoS attacks disrupt services and damage reputations, with motivations ranging from political to personal. These attacks can also mask more severe security breaches, so early detection and mitigation are crucial. Learn how Kentik provides a solution by analyzing enriched NetFlow data to identify and mitigate DDoS threats.

If you’ve ever watched one of those rehabilitating a business show like Kitchen Nightmares, you know that the advice is often the same, “Don’t try to be everything to everyone. Pick what you’re good at and stick with it.” Essentially, the message is to pick your niche and be the best within it.

Recently, I came across the quote, "The goal is to transform data into information and information into insights." This statement emphasizes the significance of data (logs) and the responsibilities associated with software applications for robust data management, particularly log management. Effective log management is essential for performance optimization, troubleshooting, ensuring strong security, and maintaining compliance.

CI/CD platforms are now an integral part of any software development approach. They help teams to automate critical phases of their workflow. From integrating new code seamlessly to deploying updates swiftly, CI/CD tools not only streamline operations but also promote continuous improvement. As we enter 2024, the world of CI/CD tools is more vibrant and essential than ever.

Imagine a world where IT systems hum along, proactively detecting and resolving issues before they turn into full-blown outages. No frantic fire drills, no late-night heroics, just seamless self-healing powered by automation. It’s the siren song of self-healing IT systems, beckoning every enterprise ITOps team. Despite the allure of streamlined incident response workflows, many attempts at IT automation sink before they can swim.

Despite changes in technology, culture, economics, or virtually any other factor imaginable, the adage ‘time is money’ remains relevant. When it comes to data analysis, the faster you can conduct analysis, the better. However, increasing data volumes across the board make it challenging to analyze and act on data in a timely manner.

In an era marked by the convergence of Big Data, hybrid cloud use, and the rise of machine learning and artificial intelligence, organisations across the Asia-Pacific (APAC) region find themselves at a critical juncture. The ability to collect, manage, and leverage data effectively is now a determining factor for competitive advantage – and will become more competitive.

Cloud infrastructure scaling can assist in rightsizing cloud resources in various ways. When discussions occur regarding scaling, its context can often refer to adding resources. However, it can also refer to removing resources. Preparing for how your cloud infrastructure scales begins with thought-out planning, design, and management of resource and tool allocations. This can save your organization time and costs that could otherwise negatively affect your employees, customers, and company.

AWS remains the largest cloud service provider (CSP) of the 21st century. It also provides over 240 cloud-based products and services. In some cases, these services help customers like you collect, analyze, and act on data about cloud usage and related costs. In this post, we explore how AWS services support FinOps’ best practices, including the features they offer. If you are looking for even more robust AWS FinOps tools, we will also include third-party platforms.