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Submission: On June 25 via api from US — Scanned from DE
Effective URL: https://techcommunity.microsoft.com/t5/azure-database-for-postgresql/accelerate-sql-performance-with-the-heimdall-proxy/ba-p/1056945
Submission: On June 25 via api from US — Scanned from DE
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Today, costly in-house resources are spent on developing a data access layer. For IT organizations you often have several constraints: 1) project priority conflicts and 2) third-party applications cannot be changed. Yet these applications need increased scale. Heimdall Data, a Microsoft Partner, offers a database proxy in the Azure Marketplace for developers and DBAs to improve SQL performance and reliability without application changes. Notable features include: * Query caching * Read/write splitting with replication lag detection * Connection pooling * Automated database failover The Heimdall proxy supports any relational database in Azure and is deployed as a side-car process. Just route the application to the proxy and turn on features from the Heimdall Central Console. From the Azure Marketplace, we support a proxy tier architecture. Figure 2: Heimdall Proxy Tier Architecture Query Caching: Caching introduces complexity and risk as it requires modifying the application. The Heimdall’s proxy is scalable and safe. Our caching logic determines which queries to cache into the cache of your choice (e.g. local heap, Redis). We automate cache invalidations without manual TTL expiry configurations. You are also is given the option to include or exclude cache policies. Our proxy ensures the cache instances are synchronized, keeping data fresh. To learn more, go to Automated Query Caching without application changes Figure 3: Query Routing Architecture Read/Write Splitting: To scale an application’s database capacity, database clusters are often divided into writeable primary and read replicas. This requires the application to be aware of the different servers and roles and requires code changes. The Heimdall proxy is SQL aware and routes queries to the appropriate database instance accounting for replication lag and transactional state. This is all configured as policy rules on the Heimdall Data Central Console. For more details, check out our read/write split blog. Connection Pooling: When idle connections are established, they consume unnecessary hardware resources, eventually slowing down performance. Heimdall’s connection pooling and multiplexing optimize connections by establishing only as many connections to the backend as there are concurrent queries. What makes our proxy unique is the level of control: Operators can limit connections on both a per-user and aggregate level. Automated Failover: When the Heimdall Data proxy detects a database failover, the Heimdall proxy queues the front-end connection and transparently fails over to the designated standby instance. This greatly reduces application errors and database exceptions. SQL Analytics: On the Heimdall Data Central Console, we provide client-side and server-side performance metrics. This includes the cache hit rate, database processing time, overall response time and query extraction plan. This allows users to identify performance bottlenecks whether it be in the application, database, or network. Figure 3: SQL Analytics on Heimdall Central Console The Heimdall architecture was designed for ease of deployment in Azure without the need to modify the application or database. Developers can improve query read/write performance without modifying a single line of code. Download a trial version in the Azure Marketplace. Resources: Partner Page: Heimdall for Azure website Blog: Using the Heimdall Proxy to Split Reads and Writes for Azure Databases Blog: Automated Query Caching without application changes Contact: info@heimdalldata.com 0 Likes Like You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in. * Comment Co-Authors Roland Lee Version history Last update: Jun 03 2021 02:57 PM Updated by: Sunil_Agarwal Labels * azure 16 * connection pooling 6 * query caching 2 * read replica 4 * SQL 2 SHARE * Share to LinkedIn * Share to Facebook * Share to Twitter * Share to Reddit * Share to Email Browse Skip to primary navigation What's new * Surface Pro 9 * Surface Laptop 5 * Surface Studio 2+ * Surface Laptop Go 2 * Surface Laptop Studio * Surface Duo 2 * Microsoft 365 * Windows 11 apps Microsoft Store * Account profile * Download Center * Microsoft Store support * Returns * Order tracking * Virtual workshops and training * Microsoft Store Promise * Flexible Payments Education * Microsoft in education * Devices for education * Microsoft Teams for Education * Microsoft 365 Education * Education consultation appointment * Educator training and development * Deals for students and parents * Azure for students Business * Microsoft Cloud * Microsoft Security * Dynamics 365 * Microsoft 365 * Microsoft Power Platform * Microsoft Teams * Microsoft Industry * Small Business Developer & IT * Azure * Developer Center * Documentation * Microsoft Learn * Microsoft Tech Community * Azure Marketplace * AppSource * Visual Studio Company * Careers * About Microsoft * Company news * Privacy at Microsoft * Investors * Diversity and inclusion * Accessibility * Sustainability * Sitemap * Contact Microsoft * Privacy * Manage cookies * Terms of use * Trademarks * Safety & eco * About our ads * © Microsoft 2023 Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. 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