Understanding Azure Span Map Basics and Beyond

Azure Span Map is a powerful tool for visualizing and understanding complex data. It's a spatial data structure that allows you to store and query large amounts of data in a way that's both efficient and scalable.

At its core, Azure Span Map is built on top of a grid-based system, where data is divided into small, rectangular cells called spans. Each span can contain a large amount of data, making it ideal for handling big data workloads.

By using a grid-based system, Azure Span Map can efficiently store and query data, making it a great choice for applications that require fast data retrieval and analysis.

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Azure Span Map is a powerful tool for visualizing and analyzing network data.

It's designed to work with Azure Monitor, which helps you monitor and troubleshoot your cloud and on-premises resources.

With Azure Span Map, you can create a visual representation of your network traffic, showing the flow of data between different resources.

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This can be especially helpful when troubleshooting issues or understanding how your network is being used.

You can customize the map to focus on specific aspects of your network, such as latency or throughput.

For example, you can use the map to identify bottlenecks in your network and optimize your resources accordingly.

Azure Span Map also provides detailed information about the network traffic, including the source and destination of the traffic, as well as the protocols and ports being used.

This level of detail can be incredibly useful for security and compliance purposes.

By using Azure Span Map, you can gain a deeper understanding of your network and make more informed decisions about how to manage and optimize it.

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The Service Map can be filtered using facets or a fuzzy string match on service names, which is particularly useful in a microservices environment with hundreds or thousands of nodes.

Facets are tags that automatically apply to service data, including service type, last deploy time, or monitor status. Filtering is useful for identifying services involved in an ongoing or resolved incident and extracting key information from the associated Service Page.

You can scope the Service Map to a specific time range to keep track of your evolving architecture. Services are also scoped by env, and optionally a Second Primary Tag.

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Filtering is particularly useful in a microservices environment with hundreds or thousands of nodes.

You can filter services using facets or a fuzzy string match on service names, including service type, last deploy time, or monitor status.

Facets are tags that Datadog automatically applies to service data.

Filtering by incident status helps identify services involved in an ongoing or resolved incident, and extract key information from the associated Service Page.

Services can also be filtered by environment, which is useful for keeping track of your evolving architecture.

Scoping the Service Map to a specific time range helps keep track of your evolving architecture.

Using the dropdowns to select a different scope draws an entirely different map consisting of the services within that scope.

These services cannot call or be called by services in other environments.

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Grouping by team or application can be a game-changer for visualizing complex microservice architecture. This feature allows you to create a clear picture of service ownership and application dependencies, making it easier to identify relationships between services.

Grouping by team or application enables organizations to quickly reach the information they need. This is particularly useful for organizations that have a large number of services and teams to manage.

By grouping services by team or application, you can see which services are owned by which teams and how they interact with each other. This can help you identify potential issues and areas for improvement.

Grouping by team or application can also help you to identify which services are dependent on each other. This can be especially useful for microservice architecture, where services often rely on each other to function properly.

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Nodes in Azure Span Map represent services exactly as they're instrumented in Application Performance Monitoring (APM), matching those in your Service Catalog.

Nodes are updated in real-time, so new services or connections appear within moments of being instrumented.

Edges in Azure Span Map represent aggregate calls from one service to another, shown on the flame graph for each individual trace.

These interactions are automatically tracked, giving you a clear picture of how your services are working together.

Nodes will age out if there are no corresponding traces seen for 30 days, which takes into account services that do work infrequently but are still an important part of a functioning system.

In Dragonflight, you can explore various zones, including The Waking Shores, Ohn'ahran Plains, and The Azure Span.

The game features a range of activities, such as quests, world quests, and rare elites to discover. The Waking Shores zone map displays data for specific searches, including NPCs, quests, and rare elites.

You can earn Dragon Glyphs, which serve as currency for purchasing talent tree upgrades. Dragon Glyphs are also part of several achievements that reward you with these valuable items.

The game has a vast array of zones to explore, including Bastion, Maldraxxus, and Ardenweald. Each zone has its unique features and activities to engage in.

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Here is a list of some of the zones and their corresponding features:

Whether you're a seasoned player or new to the game, Dragonflight has something for everyone.

Nodes on the Service Map represent services exactly as they're instrumented in APM and match those in your Service Catalog.

These nodes are updated in real-time, so new services or connections appear within moments of being instrumented.

If a service hasn't been used in 30 days, it will age out of the map to keep the view relevant and focused.

Edges on the Service Map represent aggregate calls from one service to another, showing interactions on the flame graph for each individual trace.

Slalom is a challenging and thrilling part of any racing experience.

The Azure Span Slalom is a great example of this, featuring lots of sharp turns that require precise flying skills.

To navigate these turns effectively, use the Wind Boosts where possible to gain an edge.

You'll also want to save some Vigor to Surge Forward on long straight sections, which can help you make up time and stay ahead of the competition.

One of the biggest challenges in the Azure Span Slalom is seeing the next ring due to the dense tree cover.

Pay close attention to the arrow going from your current checkpoint to the next one to know where to fly to next.

For advanced players, the goal is to hit the checkpoints near the top of the ring for the first half of the course.

This requires a downward trajectory to maintain Thrill of the Skies, which is essential for achieving a high score.

Here are some general tips for navigating Slalom courses: