Operations | Monitoring | ITSM | DevOps | Cloud

The kosli attest generic CLI command can attest anything, but unlike a “typed” attestation (such as kosli attest snyk), it does not calculate a true/false compliance value for you. Customers have reported that while a generic “escape hatch” is useful, it nevertheless has some drawbacks: Based on this feedback we’ve implemented a new attest command called kosli attest custom.

Hybrid cloud services have become a cornerstone for many businesses. These technologies, which combine the strengths of private and public clouds, assist enterprises in achieving their dreams of scalability, flexibility, and cost-efficiency. However, this added optimization comes at a cost, particularly with increased operational complexity and security concerns. To minimize cyber threats and secure their data, businesses must invest in more security solutions, such as log monitoring.

Imagine you’re a product manager at a B2B SaaS company. Monday morning, a frustrated client floods your inbox—their workflows were disrupted by a slowdown you could’ve caught sooner with better user insights. Now, imagine running an e-commerce store on Cyber Monday. Traffic surges, but abandoned carts spike. Your RUM dashboard reveals slow mobile checkouts. A quick fix saves thousands in sales.

We’ve supported syncing your metrics from Kinesis Streams, Amazon’s streaming data platform, for several years. Kinesis Streams helps you gather and process streaming data which can then be monitored in your Hosted Graphite account. Recently, we’ve added support for Firehose, a fully managed and scalable service that allows users to stream data to destinations like Amazon Simple Storage Service (Amazon S3), Amazon Redshift, or Amazon Elasticsearch Service (Amazon ES).

Tiered Storage for Apache Kafka is a simple idea that goes a longway. At its bare bones, it basically means: store most of the Kafka broker’s data in another server, e.g AWS S3. On the surface, it sounds insignificant—like a minor architectural tweak with minimal impact.

Ensuring that your web applications run smoothly and securely is essential. NGINX, known for its high performance and scalability, plays a key role in delivering web content. But to keep everything running efficiently, you need to monitor and analyze its logs properly. This guide will walk you through how to configure, analyze, and make the most of NGINX logs to stay on top of your server’s health.

For system admins and developers, being able to track error logs in real time is crucial. It’s not just about fixing problems; it’s about keeping everything running smoothly, ensuring systems perform at their best, and catching issues before they snowball into bigger ones. This guide breaks down the tools and commands that make real-time log monitoring easier and more effective, offering more than just the basics.

In the last few weeks, industry headlines once again brought the need for businesses to have complete cost visibility and proactive cost management strategies to the forefront of the constantly accelerating cloud and AI landscape. That’s why we’re excited to announce our latest product releases, designed to supercharge your cloud cost intelligence with deeper integrations into industry leaders like AWS and OpenAI.

In today’s fast-paced IT and network environments, incident response isn’t just about reacting—it’s about responding faster, smarter, and with greater efficiency. Manual processes are no longer enough to handle the complexity and volume of incidents organizations face. That’s where automation comes in. But automation doesn’t always have to mean full end-to-end remediation.

The demand for seamless user experiences and robust system reliability is at an all-time high, and businesses are racing to meet these expectations. But as system complexity increases, traditional monitoring tools are falling short. Observability offers a paradigm shift. It goes beyond tracking metrics and provides deep insights to understand the “why” behind system behavior by parsing and contextualizing unstructured data.