Maintain high uptime and performance for your APIs without any overheads using Google Cloud’s API monitoring tools.

Cloud Logging launched Log Analytics powered by BigQuery. The top 10 reasons to get started with Log Analytics for no additional cost

Flexera’s State of the Cloud Report 2022 pointed out that significant cloud spending is wasted, a major issue that is getting more critical as cloud costs continue to rise. In the current macroeconomic conditions, companies focus on identifying ways to reduce spending. To effectively do that, we need to understand the pricing model. We can then work towards the challenges of cost monitoring, optimization, and forecasting.

Organizations and their software delivery pipelines are continually exposed to growing cyberattack vectors. Coupled with the massive adoption of open source software, which now helps power nearly all of our public infrastructure and is highly prevalent in most proprietary software, businesses around the world are more vulnerable than ever. Today’s organizations need to be more vigilant in protecting their software development infrastructure and processes.

As Kubernetes monitoring continues to standardize on Prometheus as a form factor, more and more developers are becoming familiar with Prometheus’ built-in query language, PromQL. Besides being bundled with Prometheus, PromQL is popular for being a simple yet expressive language for querying time series data. It’s been fully adopted by the community, with lots of great query repositories, sample playbooks, and trainings for PromQL available online.

Logging is a critical part of the software development lifecycle allowing developers to debug their apps, DevOps/SRE teams to troubleshoot issues, and security admins to analyze access. Cloud Logging provides a powerful pipeline to reliably ingest logs at scale and quickly find your logs. Today, we’re pleased to announce Log Analytics, a new set of features in Cloud Logging available in Preview, powered by BigQuery that allows you to gain even more insights and value from your logs.

GitOps takes DevOps best practices used for application development (such as version control and CI/CD) and applies them to infrastructure automation. In GitOps, the Git repository serves as the source of truth and the CD pipeline is responsible for building, testing, and deploying the application code and the underlying infrastructure. Nowadays, an application is not just code running on infrastructure that you own and operate.

An essential aspect of operating any application is the ability to observe the health and performance of that application and of the underlying infrastructure to quickly resolve issues as they arise. Google Kubernetes Engine (GKE) already provides audit logs, operational logs, and metrics along with out-of-the-box dashboards and automatic error reporting to facilitate running reliable applications at scale.

Does your development team want to snooze alerts during non-business hours? Or proactively prevent the creation of expected alerts for an upcoming expected maintenance window? Cloud Alerting in Google's Cloud operations suite now supports the ability to snooze alert policies for a given period of time. You can create a Snooze by providing specific alert policies and a time period. During this window, if the alert policy is violated, no incidents or notifications are created.

Many organizations struggle to create data-driven cultures where each employee is empowered to make decisions based on data. This is especially true for enterprises with a variety of systems and tools in use across different teams. If you are a leader, manager, or executive focused on how your team can leverage Google's SRE practices or wider DevOps practices, definitely you are in the right place!