We're thrilled to announce that our customers are once again showing us big love! Splunk has earned twenty-four 2023 Top Rated Awards from TrustRadius. The Top Rated Awards show that we've provided excellent customer satisfaction, proving our credibility and helping buyers make confident technology decisions. These special recognitions are based entirely on reviews and customer sentiment; there is no paid placement or analyst opinion. It's a big (double-dozen) deal!

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.

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.

Indicators can be a powerful tool to measure the success of a business. With the right mix of indicators, you can uncover valuable insights and track progress toward goals. However, knowing which indicators to use and when to use them for the right purpose is crucial to measuring success accurately! In this article we'll explore 12 types of performance indicators, when they should be used and how to use them to measure success. Curious to learn more? I'll share more details below.

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.

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.

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.

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.

Poorly designed infrastructure leaves your applications and networks vulnerable to cyberattacks and data breaches. This puts the company at significant risk: the average cost of a data breach reached a record high $4.35 million in 2022. This is where companies bring in platform engineers. A platform engineer is a professional who ensures that security protocols and best practices are in place to protect against potential security threats.

The release of ChatGPT in November of 2022 elicited excitement from all corners of the internet. It could write code, diagnose patients, ace exams, write books and more — all in a matter of seconds. Yet, many people were left underwhelmed by the results. Inputting “write a blog post about…” resulted in bland and formulaic articles no one wanted to read. The AI doomers could breathe a sigh of relief as it became apparent AI wasn’t coming for tech jobs any time soon.