Cloud Computing

This post was co-written with Ran Isenberg, Principal Software Architect at CyberArk and an AWS Serverless Hero. Serverless architectures enable agility and simplified cloud resource management. Organizations embracing serverless architectures build robust, distributed cloud applications. As organizations grow and the number of development teams increases, maintaining architectural consistency, standardization, and governance across projects becomes crucial.

When developing a real-time architecture, there are two fundamental questions that you need to ask yourself in order to make the right technology choice: Freshness – how fast does the data need to be available? Query latency – how fast do you need to be able to retrieve the data once it is available?  For

If you leverage Google Kubernetes Engine (GKE) within your Google Cloud environment, you’ve likely encountered the confidence-shattering “IP_SPACE_EXHAUSTED” error.  It’s a common scenario: you’re convinced your IP address planning is flawless, your subnet design is future-proof, and then suddenly, your GKE cluster unexpectedly hits a scaling roadblock. You start to question your subnetting skills. How

As your Google Cloud usage expands, managing and understanding your cloud costs can become increasingly complex. As you drive adoption of cloud FinOps in your organization, identifying exactly which teams, projects, or services are driving your expenses is essential. That’s why we’re excited to introduce the Google Cloud Cost Attribution Solution. This comprehensive suite of

For several years, BigQuery native tables have supported enterprise-level data management capabilities such as ACID transactions, streaming ingestion, and automatic storage optimizations. Many BigQuery customers store data in data lakes using open-source file formats such as Apache Parquet and table formats such as Apache Iceberg. In 2022, we launched BigLake tables to allow customers to

Project Shield has helped news, human rights, and elections-related organizations defend against distributed denial of service (DDoS) attacks since 2013 as part of Google’s commitment to keep online content universally accessible. The solution has helped keep election resources online, supported news reporting during pivotal geopolitical events, and helped governments during times of urgency. We are

Data analysts have traditionally struggled to analyze data across different databases. Because of data silos, they need to copy data from transactional databases into analytical data stores using ETL processes. BigQuery made the problem a little easier to solve if you have data in Spanner and BigQuery. Using the EXTERNAL_QUERY table-valued function (TVF), you could