Rich content like videos and graphics used to cause network congestion and long load times when all the content was stored on a centrally located server. Fortunately, Content Delivery Networks (CDNs) came to the rescue in the late 1990s, letting users load rich content from a location geographically closer to them and reducing load times by distributing a cached version of content across servers worldwide.

Third-party APIs and cloud based software as a service (SaaS) tools have become a cornerstone of modern enterprises. It is essential to monitor log data and optimize API performance. This will ensure that development teams provide the desired advantages to clients and users. To address this challenge, businesses can use an observability pipeline. It is a set of tools and processes that monitor and analyze data from various sources. That includes third-party APIs and SaaS tools.

The observability landscape is changing fast, as organizations look to deploy applications and separate themselves from competition at a breakneck pace. What are the trends organizations need to be aware of as they make sense of the landscape? Every year, we at Logz.io set out to answer this question by going right to the DevOps and observability practitioners on the front lines.

Managing observability data can feel like a juggling act. Modern cloud applications generate vast amounts of data, and quickly accessing the most important data is a fundamental step toward quickly gaining unobstructed visibility into your infrastructure and applications. Yet, when data volumes grow, complexity follows. Many observability users find it overwhelming to assess the critical data generated from their complex infrastructure and applications.

In this live stream discussion, angel investor Ross Haleliuk joins Cribl’s Ed Bailey to make a big announcement about his new fund to shape the future of the cybersecurity industry. Ross is a big believer in focusing on the security practitioner to provide practical solutions to common issues by making early investments in companies that will promote these values.

Over the past several years, one topic that has become of increasing importance for DevOps and site reliability engineering (SRE) teams is AIOps. Artificial intelligence for IT Operations (AIOps) is the application of artificial intelligence (AI), machine learning (ML), and analytics to improve the day-to-day operational work for IT operations teams.