Operations | Monitoring | ITSM | DevOps | Cloud

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.

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 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.

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.

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.

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!

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.

We are excited to announce the release of our ultimate tools for database management, administration, development, and deployment – dbForge SQL Tools and dbForge Studio for SQL Server. The new version, 7.1, mainly focuses on extended connectivity and compatibility. It allows SQL developers, database and system administrators to stay tuned and highly productive with the latest server features and quickly connect to databases without handling compatibility or connectivity issues.

Checkly has always been your early warning system—giving engineering teams unmatched speed and precision in detecting problems through powerful synthetic monitoring. When systems fail, communicating clearly and quickly is just as important as fixing the issue itself. Downtime is inevitable. Confusion doesn’t have to be.

Instead of deploying a patchwork of proprietary agents for every platform, a telemetry pipeline lets you route your data through a single, consistent layer—and send it to any backend you choose. Flexibility, achieved. But there’s a catch. If your pipeline is proprietary, you’ve only shifted the lock-in left. Sure, you can now add or swap destinations freely—but you’re still deeply dependent on a vendor in the middle of your data flow.