At Logz.io, we’ve found that for most organizations observability challenges start with log management. Today more than ever, log management is a highly complex practice that involves mountains of ephemeral data, and the related obstacles are preventing people from achieving their observability goals, full stop. That’s why we designed our new log management UI to simplify the daily tasks of SREs and developers in managing logs and diving into data.

Incidents can happen anywhere at any time. They can be small, well-defined, and easily contained. They can be large, messy, and complex, like the major outage we saw recently. Or they can be somewhere in between. When incidents occur, mobilizing and coordinating responders is crucial to restoring service, protecting the customer experience, and mitigating business risks.

Are you tired of drowning in a sea of manual tasks and repetitive processes? Do you want to free up your IT team to focus on strategic initiatives and deliver exceptional service experiences? If so, then ITSM automation is the answer you’ve been searching for!In this comprehensive guide, we’ll dive deep into the world of ITSM automation, exploring its key features, use cases, and the top software solutions available.

Businesses are increasingly adopting cloud technologies for their scalability, cost efficiency, and performance benefits. However, along with the benefits come new challenges, particularly in ensuring robust security measures.Effective enterprise cloud security safeguards against threats and data breaches, forming a cornerstone of modern cybersecurity culture best practices. Let's explore key strategies, tools, and recommendations to fortify your cloud environments. Let's begin.

When we observe a slow system, our first instinct might be to label it as failing. This presumption is widespread and highlights a fundamental truth: performance is synonymous with an application's maturity and readiness for production. In web applications, where milliseconds can determine the success or failure of a user interaction, the stakes are incredibly high. Performance is not just a technical benchmark, but a cornerstone of user satisfaction and operational efficiency.

Most of the time, the default application monitoring metrics, graphs, and visualizations provided by AppSignal will do for your Ruby app. However, you might be the kind of user who likes a bit of control over what is measured, how it’s displayed, and how critical information about your app should be relayed. AppSignal allows you to customize app metrics and dashboards as you wish. In this guide, we’ll learn all about AppSignal's custom metrics, including: And more!

The software world is changing rapidly due to advancements in GenAI. These technologies are disrupting traditional processes and driving automation across every part of the SDLC. The market for AI code tools is estimated to reach $30 billion by 2032. It started with code generation, then moved to testing, QA, automatic pull requests, and beyond.

A Service Level Agreement (SLA) is a formal document that outlines the expectations, responsibilities, and performance metrics between a service provider and a customer. It is a mutual agreement to ensure the service meets the agreed-upon standards and performance levels. For example, an SLA might specify the uptime percentage for a server, response times for customer support, or the maximum allowable error rates. Download the free SLA Template in PDF!

IT and security teams dealt with massive changes a few short years ago. New deployment environments added to the monitoring toil, while architectural shifts complicated IT operations’ cost and performance effectiveness. On the security side, the protected perimeter expanded exponentially. These factors resulted in a huge increase in data volumes and complexity, leading teams to turn to tooling and platforms to cope with their data.

Managing and storing vast amounts of data is no small feat, and can be a real drain on resources. Organizations often need to retain data for extended periods — sometimes up to seven years — to comply with regulations. It’s a common dilemma: data volumes keep skyrocketing, but budgets don’t follow suit. IT and security teams face immense pressure to handle this data deluge while navigating procurement pitfalls.