Discussion on database observability and index optimization techniques.

Discussion on database observability and index optimization techniques.

In today's digital landscape, organizations are sitting on untapped potential within their cloud environments. While many enterprises have made the initial move to Google Cloud, true value creation comes from modernizing applications and operations to fully leverage cloud-native capabilities. The journey typically unfolds across multiple phases and each phase can compound the benefits. But don't let the complexity of modernization hold you back.

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Code assist tools are transforming software development, enhancing productivity with intelligent suggestions and automation. Yet they also pose challenges in ensuring code security, managing observability, and addressing risks from automation. Join experts from Google Cloud, Datadog, GitLab, Harness, and Snyk in a dynamic panel as they explore the potential of code assist tools and share strategies to mitigate risks, safeguard workflows, and maximize the impact of these tools in today’s fast-paced development landscape.

Default service accounts in Google Cloud have been an area of interest for threat actors. Cloud administrators can sometimes grant unintentionally broad permissions through this mechanism to their workloads, such as virtual machines and Kubernetes clusters. In this talk, we will discuss the role of default service accounts in Google Cloud Compute Engine (GCE) and Google Cloud Kubernetes Engine (GKE), and best practices for managing and securing them.

This Session is hosted by a Google Cloud Next Sponsor.
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There’s an old saying: “If you fail to plan, you are planning to fail.” This is true when it comes to migrating workloads to the cloud. Attempting a move without insights into your apps is setting the stage for disaster. How can you ensure your migration to Google Cloud is secure and meets your customers’ expectations? We’ll discuss the role Datadog plays in a migration to Google Cloud. We’ll explore best practices and guide you through the steps to achieve a seamless and successful migration.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Automation enables engineering teams to reduce duplication of effort and build consistency around various processes, especially observability. Providing out-of-the-box solutions and using infrastructure as code are some of the ways to automate your systems so all of your teams can onboard and get all the right features. In this talk, we will discuss how Datadog and Project44 have created self-service platforms so their engineers can automatically obtain observability into their systems.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Datadog is a powerful, ever-evolving Observability and Security Platform that continues to expand its features and capabilities day-by-day. Keeping pace with each new feature, enhancement and products can be challenging. In this session, we'll explore the latest updates in-depth and highlight the most significant features and product additions from recent months.

Chris will cover effective debugging in cloud-native environments, starting with contextual logging and span tags in APM to capture runtime details. He’ll then explore dynamic instrumentation for injecting logs and metrics without code changes, and finish with profiling to gain deep insights into application performance.

“More data lineage” has been second most popular feature request in Airflow Survey 2023. However, despite the integration of OpenLineage in Airflow 2.7 through AIP-53, the most popular Operator in Airflow - PythonOperator - isn’t covered by lineage support. With addition of TaskFlow API, Airflow Datasets, Airflow ObjectStore, and many other small changes, writing DAGs without using other operators is easier than ever. And that’s why lineage collection in Airflow moves beyond covering specific Operators, to covering Hooks and Object Storage. In this session, you’ll learn how newly added AIP-62 will allow you author DAGs the way you love, while also keeping benefits of a data pipeline well covered by lineage.

We’ll explore how you can leverage Gemini to improve productivity while using Datadog for monitoring your Cloud environment, and how you can simplify the Datadog Agent installation and maximize monitoring coverage for the entire fleet. This session will also show how your teams can use Gemini's assistance to simplify routine processes to set up observability. You’ll gain useful tips on how to use Gemini to address the most common observability challenges and also go behind the scenes to explore the large language models that power it.

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OpenTelemetry has become the standardized way of gaining visibility into application activity. There's a golden opportunity for security teams to work with wider IT organizations to leverage the benefits of improved observability, in modern environments based on GKE clusters. We'll look at combining data from the application layer with the other layers of a modern cloud native stack to get deep visibility into activity and show how this enhanced observability can improve everyone's security.

We'll look at combining data from the application layer with the other layers of a modern cloud native stack to get deep visibility into activity and show how this enhanced observability can improve everyone's security! By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Just as food delivery has evolved and become ubiquitous, the Software Delivery Lifecycle has also made leaps and bounds. We get there by shifting left and taking a platform centric approach. In this session join us as we discuss modern software delivery, ways that Datadog has implemented SDLC internally and enable our user’s production of high-quality software with higher velocity.

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Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

As organizations increasingly adopt cloud technologies, their ecosystems often become more complex and therefore more challenging to manage. In this session, we will discuss the journey of adopting observability practices to effectively monitor and manage ever changing cloud environments.

We will explore the key elements of observability - spanning infrastructure, applications, and users, while maintaining security and controlling costs. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Although cloud computing has the potential to save you money, many organizations face growing IT costs and struggle to keep their spending within budget. As one of the leading SaaS observability platforms, Datadog uses a massive amount of cloud resources and has worked diligently to keep our IT spending constrained. In this session, we’ll share the practices that we use to optimize costs and how you can apply them to reduce your spend, increase performance, and meet your business goals.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

With native support for OpenLineage in Airflow, users can now observe and manage their data pipelines with ease. This talk will cover the benefits of using OpenLineage, how it is implemented in Airflow, practical examples of how to take advantage of it, and what’s in our roadmap. Whether you’re an Airflow user or provider maintainer, this session will give you the knowledge to make the most of this tool.

OpenLineage is an open standard for metadata and lineage collection designed to instrument jobs as they are running. The standard has become remarkably adept at understanding the lifecycle of data within an organization. Additionally, Airflow lets you make use of OpenLineage with a convenient integration. Gathering data lineage has never been easier. In this talk, we’ll provide an update-to-date report on OpenLineage features and the Airflow integration – essential information for data governance architects & engineers.

There’s an old saying: “If you fail to plan, you are planning to fail.” This is true when it comes to migrating workloads to the cloud. Attempting a move without insights into your apps is setting the stage for disaster. How can you ensure your migration to Google Cloud is secure and meets your customers’ expectations? We’ll discuss the role Datadog plays in a migration to Google Cloud. We’ll explore best practices and guide you through the steps to achieve a seamless and successful migration.

This Session is hosted by a Google Cloud Next Sponsor.Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Whether you're building a chat application, a RAG system, or other AI tools, monitoring remains crucial. We'll show you how Datadog's comprehensive Azure monitoring can help you:

• Get started with PostgresSQL on Azure • Track PostgreSQL performance metrics that matter for GenAI workloads • Create dashboards and alerts that provide meaningful insights