INTELLIGENT SOFTWARE

Dynatrace OpenPipeline empowers business , development , security , and operations teams with full visibility into and control of the data they are ingesting into the Dynatrace platform while preserving the context of the data and the cloud ecosystems where they originate .

Additionally , it evaluates data streams five to ten times faster than legacy technologies . As a result , organisations can better manage the ever-increasing volume and variety of data emanating from their hybrid and multicloud environments and empower more teams to access the Dynatrace platform ’ s AI-powered answers and automations without requiring additional tools .

According to Gartner , modern workloads generate increasing volumes – hundreds of terabytes and even petabytes each day – of telemetry originating from a variety of sources . This threatens to overwhelm the operators responsible for availability , performance , and security . The cost and complexity associated with managing this data can be more than $ 10 million per year in large enterprises .

Despite these challenges , stakeholders across organisations are seeking more data-driven insights and automation to make better decisions , improve productivity , and reduce costs . Therefore , they require clear visibility and control over their data while managing costs and maximising the value of their existing data analytics and automation solutions .

Dynatrace OpenPipeline works with other core Dynatrace platform technologies , including the Grail data lakehouse , Smartscape topology , and Davis hypermodal AI , to address these challenges by delivering the following benefits :

Petabyte scale data analytics : Leverages patent-pending stream processing algorithms to achieve significantly increased data throughputs at petabyte scale .

Unified data ingest : Enables teams to ingest and route observability , security , and business events data – including dedicated Quality of Service , QoS for business events – from any source and in any format , such as Dynatrace OneAgent , Dynatrace APIs , and OpenTelemetry , with customisable retention times for individual use cases .

Real-time data analytics on ingest : Allows teams to convert unstructured data into structured and usable formats at the point of ingest – for example , transforming raw data into time series or metrics data and creating business events from log lines .

Full data context : Enriches and retains the context of heterogeneous data points – including metrics , traces , logs , user behaviour , business events , vulnerabilities , threats , lifecycle events , and many others – reflecting the diverse parts of the cloud ecosystem where they originated .

Controls for data privacy and security : Gives users control over which data they analyse , store , or exclude from analytics and includes fully customisable security and privacy controls , such as automatic and rolebased PII masking , to help meet customers ’ specific needs and regulatory requirements

Cost-effective data management : Helps teams avoid ingesting duplicate data and reduces storage needs by transforming data into usable formats – for example , from XML to JSON – and enabling teams to remove unnecessary fields without losing any insights , context , or analytics flexibility . •

INTELLIGENT TECH CHANNELS 4949