Operations | Monitoring | ITSM | DevOps | Cloud

As cyber threats grow in sophistication and frequency, organizations worldwide are grappling with the challenge of safeguarding their systems and data while maintaining operational continuity. Cyber resilience, the ability to prepare for, respond to, and recover from cyber incidents, is no longer just a competitive advantage…it’s a critical necessity.

Containers are a big deal today. They are software units that contain all the code, runtime, and dependencies required to run a distributed application. Thus, containers help engineers test and run apps without compatibility issues on any device and platform. Organizations can use containers to reduce engineering costs, speed up deployments, develop and test AI models, and automate more processes. You probably want those benefits as well.

A patch management process lays out the steps associated with updating software and hardware. The typical patch management procedure includes things like prioritizing important patches, testing them, and eventually deploying them on an automated schedule — but with so many tools for managing patching in so many different kinds of setups, no two IT teams’ patch management processes look alike. What does your patch management process look like?

Smooth and efficient software deployment is critical to delivering high-quality applications that meet user expectations. Still, many software failures can be traced back to deployment issues. A well-structured deployment strategy can help DevOps & SREs teams prevent these errors, ensure system reliability, and enhance user satisfaction. This guide explores software deployment best practices, from planning and execution to post-deployment monitoring and incident management.

There’s good news in the US federal compliance space. The latest FedRAMP policy on the use of cryptographic modules relaxes some of the past restrictions that prevented organizations from applying critical security updates. There has long been a tension between the requirements for strictly certified FIPS crypto modules and the need to keep software patched and up to date with the latest security vulnerability fixes.

Is your ecommerce store traffic resulting in enough conversions? If not, your store might be facing performance issues. Amazon loses 1% of its $141 billion online sales for every 100ms of latency. BBC risks 10% of its website visitors for every additional second of load time. As your business grows, the need to build new features, customize code, and integrate third-party systems grows.

Logs are crucial for understanding what's happening in your system, but they can often be hard to make sense of. Log parsing is the key to turning raw, unstructured data into something useful. In this blog, we'll explore the basics of log parsing, its importance, and how it helps you extract valuable insights from your logs without all the clutter.

Most developers are familiar with Opentelemetry core components—Traces, Metrics, and Logs. But there’s one part of the OpenTelemetry ecosystem that doesn’t always get the spotlight: processors. These behind-the-scenes operators shape your data pipeline, helping you filter, enrich, and fine-tune telemetry data before it reaches your backend systems. Processors play a key role in making sure your data is cleaner, more useful, and just the way you need it.

HAProxy 3.1 makes significant gains in performance and usability, with better capabilities for troubleshooting. In this blog post, we list all of the new features and changes. All these improvements (and more) will be incorporated into HAProxy Enterprise 3.1, releasing Spring 2025. Watch our webinar HAProxy 3.1: Feature Roundup and listen to our experts as we examine new features and updates and participate in the live Q&A.

All but one of the kosli attest commands calculate the true/false compliance value for you based on their type. For example, kosli attest snyk can read the sarif output file produced by a snyk scan. The one that doesn’t is kosli attest generic which is “type-less”. It can attest anything, but Kosli cannot calculate a true/false compliance value for you. Often the tool you are using can generate the true/false value, which is then easy to capture.