SQL Server Performance Tuning Best Practices Using DPA Tool

Query tuning is generally considered one of the fastest ways to accelerate your Microsoft SQL Server performance. System-level server performance improvement activities can be expensive and ineffective. Moreover, expert developers agree most SQL Server performance issues can be traced directly to poorly written queries and ineffective indexing rather than hardware constraints. In fact, many performance problems can only be resolved through query optimization and tuning.

SolarWinds Gives IT Pros New Levels of Hybrid IT Support With Enhanced IT Operations Management Portfolio

Introduces new and improved software-defined solutions support, AWS and Azure workload troubleshooting and visibility, and full-stack application and infrastructure monitoring capabilities

Datadog on RocksDB

Datadog is a monitoring and analytics platform that ingests trillions of data points per day, coming from more than 8,000 customers. Each of those is associated with metadata, mostly in the form of tags, and it can also be part of streams of related data points, which can then be explored, queried, or aggregated. RocksDB is used by many services at Datadog that are part of that metrics ingestion, aggregation, query, and index pipeline.

Monitor Apache Ignite with Datadog

Apache Ignite is a computing platform for storing and processing large datasets in memory. Ignite can leverage hardware RAM as both a caching and storage layer to serve as a distributed, in-memory database or data grid. This allows Ignite to ingest and process complex datasets—such as those from real-time machine learning and analytics systems—in parallel and at faster speeds than traditional databases supported by only disk storage.


Monitor Hazelcast with Datadog

Hazelcast is a distributed, in-memory computing platform for processing large data sets with extremely low latency. Its in-memory data grid (IMDG) sits entirely in random access memory, which provides significantly faster access to data than disk-based databases. And with high availability and scalability, Hazelcast IMDG is ideal for use cases like fraud detection, payment processing, and IoT applications.


22,900 MongoDB Databases Held to Ransom by Hacker Threatening to Report Firms for GDPR Violations

Hackers are once again finding unsecured MongoDB databases carelessly left exposed on the internet, wiping their contents, and leaving a ransom note demanding a cryptocurrency payment for the data’s safe return. As ZDNet reports, ransom notes have been left on almost 23,000 MongoDB databases that were let unprotected on the public internet without a password. Unsecured MongoDB databases being attacked by hackers is nothing new, of course.