Operations | Monitoring | ITSM | DevOps | Cloud

Announcing Amazon Q Developer's First And Only Cost Optimization Plugin

Managing AWS costs just a whole lot more convenient. CloudZero now integrates with Amazon Q Developer, AWS’s AI-powered engineering assistant. A natural language processor, Amazon Q Developer helps engineers write, analyze, and debug code, accelerate workload transformations, and adopt AWS best practices, enhancing developer productivity by as much as 80%.

Densify 3.0: Introducing Cloudex, Smarter K8s Automation, and Enhanced API Power

We’re excited to announce the release of Densify 3.0, a major step forward in our mission to deliver precision-driven cloud optimization across Kubernetes and public cloud environments. This release brings to life a new user experience, powerful automation capabilities, richer data insights, and smarter APIs—all designed to simplify and scale your optimization journey.

Assist 2.0: The New Era of DEX for Everyone

For many years, I've spoken with power users in IT departments who love the insights they get from Nexthink. They can run complex queries, create dashboards, drill down into the network view, or implement new automations across thousands of digital workplaces. I've also noticed that these same teams have increasingly asked us to share the power of Nexthink with other IT functions, HR teams, or even employees.

InfluxData Announces General Availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, Simplifying How Developers Build with Time Series Data

InfluxDB 3 Core is an open source, high-speed, recent-data engine; InfluxDB 3 Enterprise adds performance, high availability, security, and scalability for mission-critical workloads Built-in Python Processing Engine brings collection, transformation, monitoring, alerting, and automation on time series data.

Elastic Observability 9.0/8.18: Elastic Distributions of OpenTelemetry (EDOT) now GA, LLM observability, and more

Elastic Observability 9.0/8.18 announces several key capabilities: Elastic Observability 8.18 and 9.0 is available now on Elastic Cloud — the only Elasticsearch offering to include all of the new features in this latest release. You can also download the Elastic Stack and our cloud orchestration products — Elastic Cloud Enterprise and Elastic Cloud for Kubernetes — for a self-managed experience. What else is new in Elastic 9.0/8.18? Check out the 9.0/8.18 announcement post to learn more.

Elasticsearch 9.0 & 8.18: Cooked for developers, with another helping of blazing-fast BBQ - 5x faster than OpenSearch

We are proud to be releasing version Elasticsearch 9.0 and 8.18 to Elastic Cloud and self-managed users. The capabilities in these releases have already been available to our Elastic Cloud Serverless users, who have had access to generally available fully managed Elasticsearch on AWS, Azure, and GCP.

Meet Our Newly Updated ODBC Solutions

Here we go with another update of ODBC, our reliable and high-performance tools for connecting to popular databases and cloud services from ODBC-compatible tools. This release features enhanced performance, essential new options, expanded capabilities, and much more. This time, the spotlight is on our ODBC Driver for Jira, which has been significantly optimized in terms of data retrieval.

GitKraken Desktop 11: Meet Your New Development Co-Pilot

Written by author, adapted by AI GitKraken Desktop 11.0 is here, and it’s more than just a version bump. We’re introducing AI-powered features designed to accompany your workflow and help you stay focused on what matters most. It’s changed how I approach commits, and I’m sure it will help y’all too!

Announcing Charmed Kubeflow 1.10

We are thrilled to announce the release of Charmed Kubeflow 1.10, Canonical’s latest update to the widely-adopted open source MLOps platform. This release integrates significant improvements from the upstream Kubeflow 1.10 project, while also bringing a suite of additional capabilities targeted towards enterprise deployments. Charmed Kubeflow 1.10 empowers machine learning practitioners and teams to operationalize machine learning workflows more efficiently, securely, and seamlessly than ever.