Operations | Monitoring | ITSM | DevOps | Cloud

The average data breach already costs organizations $4.45 million, and it appears that damages will only become more expensive as time goes on. In fact, one report found that cybercrime will cost the world $10.5 trillion by 2025. While organizations can’t necessarily prevent hackers from targeting their systems, they can take proactive steps to strengthen cybersecurity and develop incident response plans that enable them to keep bad actors at bay and swiftly address incidents whenever they occur.

Proper backups are universally acknowledged as essential, yet they grow increasingly tedious and prone to error as DevOps complexity escalates. While some managed database services offer automated backup solutions, the scope of your backup requirements is likely to expand as the business and products scale. There's a considerable chance you'll find yourself hosting your own databases or stateful services, a task that can seem daunting in its demand for precision and reliability.

When organizations begin to deploy resilience testing or Chaos Engineering, there’s a natural question: can we integrate this with our CI/CD pipeline or release automation tools? After all, you’re likely running unit, performance, and integration tests already—is resiliency different? The short answer is yes—to both. Integration is possible, but resiliency is different, so automation is a nuanced conversation.

New subscription for IoT deployments brings security and long term compliance to the most advanced open source stack.

Research firm, IDC, published a study in early February 2024 predicting that Google Cloud Platform (GCP) customers break even after just 10 months. Moreover, the study, The Business Value of Google Cloud IaaS, reported that after migrating to GCP, the participants were on track to achieve a 318% ROI in five years. Here’s the thing. Achieving these milestones requires a robust GCP cost monitoring and optimization plan.

It's been a decade since Marc Andreessen declared that software is eating the world, and it is still hungry. Customers expect software solutions for every need, driving digital transformation in every analogue industry. Software quality is now fundamental to company reputation, directly affecting customer satisfaction, brand and overall business success.

As a manager, figuring out how to talk to your engineering teams about building a strong observability strategy can feel overwhelming. But don't worry! This post will help you navigate the challenges to unlock the full power of observability in your IT environment. Drawing on insights from over 40 discussions with larger enterprises, we've put together a strategy assessment that examines three key focus areas — what we’re calling aspects — each encompassing three actionable steps.

Business environment, maximizing return on investment (ROI) is crucial for staying competitive and achieving sustainable growth. One area that has proven to be highly effective in driving ROI is investing in automation solutions. Automation not only streamlines processes and increases efficiency but also brings tangible business value across various aspects of an organization. Let’s delve into the key reasons why investing in automation solutions is essential for maximizing ROI.