In this week’s real-time analytics news: Amazon Web Services used its annual AWS re:Invent conference to make numerous announcements related to AI, real-time, and more.
Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the items our staff came across each week. Here are some of the news items from this week:
At its annual AWS re:Invent held this week, Amazon Web Services (AWS) made a number of announcements relevant to the real-time community. For example, it announced six new capabilities for its machine learning service, Amazon SageMaker, that make machine learning more accessible and cost effective. The announcements bring together new capabilities, including a no-code environment for creating accurate machine learning predictions, more accurate data labeling using highly skilled annotators, a universal Amazon SageMaker Studio notebook experience for greater collaboration across domains, a compiler for machine learning training that makes code more efficient, automatic compute instance selection machine learning inference, and serverless compute for machine learning inference.
AWS also announced three new database capabilities that make it easier and more cost efficient for customers to scale and run the right databases for their job. The announcements introduce a new managed database service for business applications that allows customers to customize the underlying database and operating system, a new table class for Amazon DynamoDB designed to reduce storage costs for infrequently accessed data, and a service that uses machine learning to better diagnose and remediate database-related performance issues.
Additionally, Amazon announced new Amazon EC2 C7g instances powered by the latest generation custom-designed AWS Graviton3 processors are available in preview. Amazon EC2 C7g instances are designed for compute-intensive workloads such as CPU-based machine learning inference. They also support Elastic Fabric Adapter (EFA) for applications that require high levels of inter-node communication.
MLCommons released new results for MLPerf Training v1.1, the organization’s machine learning training performance benchmark suite. MLPerf Training measures the time it takes to train machine learning models to a standard quality target in a variety of tasks, including image classification, object detection, NLP, recommendation, and reinforcement learning. Compared to the previous submission round, the best benchmark results improved by up to 2.3X, showing substantial improvement in hardware, software, and system scale.
The Linux Foundation announced it will host the Apptainer project. Formerly the Singularity project, Apptainer is a container system for High-Performance (HPC) computing and is one of the container systems uniquely suited for both enterprise and HPC use cases. It is designed to execute applications at bare-metal performance while being secure, portable, and completely reproducible.
Red Hat, IBM, and Celonis announced the general availability of Celonis Execution Management System (EMS) on Red Hat OpenShift Service on Amazon Web Services (AWS) (ROSA) as a managed cloud service. This enables organizations to take full advantage of the collaboration and expertise of each company in a multicloud environment.
G-Core Labs launched Managed Kubernetes, a service for managing cloud containers. It allows the clients to quickly receive ready-to-use Kubernetes clusters and to automate application scaling and deployment in the provider’s cloud. G-Core Labs сloud Infrastructure is powered by 3rd generation Intel Xeon Scalable (codenamed Ice Lake), new processors with built-in advanced capabilities for artificial intelligence, encryption, and HPC.
ElectrifAi announced the availability of Machine Learning as a Service (MLaaS). With MLaaS, companies can easily get started with machine learning and pre-built models without the expense and time-consuming efforts of installing and purchasing platforms, assembling teams, or providing their own servers. With MLaaS available through AWS, the client’s data operates directly on AWS cloud servers and MLaaS increases the efficiency and convenience of machine learning on the cloud.
Lumen Technologies introduced the Lumen Edge Gateway, a compute platform for the delivery of virtualized wide-area networking (WAN), security, and IT applications from multiple vendors on the premises edge. Specifically, the Lumen Edge Gateway is a scalable Multi-access Edge Compute (MEC) platform for the premises. It enables enterprises to deploy and evolve application, network, and security services without hardware changes.
JFrog introduced a new container registry and package manager for running JFrog Artifactory with Kubernetes clusters on-premises, in the cloud, or both. Available immediately in the AWS Marketplace, JFrog Artifactory for Amazon EKS Anywhere allows customers to experience all the benefits of cloud-native container technology in an easy-to-manage, private instance so they can rest assured data privacy, security, and regulatory requirements are met.
Real-time analytics news in brief:
Sumo Logic announced four new Sumo Logic AWS Quick Start integrations for rapid access to security and compliance insights and support for Amazon Inspector. Aligned with the AWS Security Reference Architecture, the Quick Start integrations automate the collection and analysis of security events. It also announced that expanded tracing visibility into AWS Lambda functions is now available. Powered by AWS CloudWatch, AWS CloudTrail and OpenTelemetry, Sumo Logic now leverages AWS Lambda telemetry: logs, metrics, and traces required to provide full end-to-end application visibility.
Canonical, Publisher of Ubuntu, announced it has achieved the AWS Graviton Ready designation, part of the Amazon Web Services, Inc. (AWS) Service Ready Program. This designation recognizes that Canonical + Ubuntu Server and Anbox Cloud Appliance has demonstrated successful integration with AWS Graviton Service.
H2O.ai announced the H2O Managed AI Cloud, which helps democratize data for all, enabling companies of any size all the advantages of an enterprise-grade, secure, fully managed AI Cloud. H2O AI Cloud platform allows data scientists and app developers to make, operate, and innovate with their own AI without the burden of handling the operations of the platform, security, and consumption control.
Pegasystems Inc. announced Next-Best-Action Customer Journeys, a new AI-powered capability modernizing traditional customer journeys with intelligent decisioning and propensity modeling for optimal customer interactions. Instead of forcing customers down pre-determined paths, marketers can intelligently sense customers’ context and needs, adjust and change their outreach approach in real time, and proactively deliver personalized messages on their preferred channels.
Ascend.io announced support for Amazon Redshift Serverless powered on AWS, a fully managed petabyte-scale cloud data warehouse. With support for Amazon Redshift Serverless, data teams can use the highly automated Ascend platform to quickly and seamlessly accelerate data engineering and analytics engineering workflows across their Amazon Redshift Serverless environment.
Observable announced that Microsoft Teams customers can now seamlessly access Observable Data Canvases from within their Teams environment. In addition to existing Microsoft Sharepoint and Microsoft 365 integrations, customers can quickly connect a tab in a Teams channel and immediately start using Observable for more effective and efficient data exploration, analysis, and visualization.
Starburst announced the latest iteration of its SaaS product Starburst Galaxy. First released in February 2021, this most updated version of Starburst Galaxy now allows customers to query data across cloud platforms seamlessly without sacrificing speed or access. With one single SQL query, Starburst customers can analyze data across cloud platforms, including AWS.
LOGIQ.AI launched LogFlow, an Observability Data Pipeline as a Service (DPaaS). LogFlow enables enterprises to unleash the true potential of machine data by connecting it to SMEs on-demand. Additionally, LogFlow’s native support for open standards makes it easy to collect machine data from any source. Its built-in “Rule Packs” have over 2000 rules that filter, tag, extract, and rewrite data for popular customer environments and workloads.
Trifacta announced advanced Pushdown Optimization capabilities for Snowflake. Trifacta’s native support for Snowflake SQL allows data professionals to build the entire transformation logic, allowing users of all skill sets to work on huge data directly within Snowflake’s Data Cloud.
Informatica announced a new solution to democratize access to cloud data lakes on Amazon Web Services (AWS), using AWS Lake Formation. Informatica’s Axon Data Marketplace can now empower business users across any level within an organization with access to AWS Lake Formation data with the trust and security needed to make informed business decisions.
Prosimo announced new cloud networking capabilities building on top of Amazon Web Services (AWS). The Prosimo Application eXperience Infrastructure (AXI) platform provides cloud-native integrations to build an elastic and scalable transit with AWS Cloud WAN for cross-region connectivity. In addition, integration with AWS Marketplace for Containers Anywhere enables customers to deploy Prosimo AXI edges through a single AWS portal for customers across their hybrid architecture.
Stratus Technologies announced the general availability and shipping of the Stratus ztC Edge 200i and 250i platforms. The 2nd generation ztC Edge delivers up to 2X performance over the prior generation and continues to combine built-in application virtualization, fault tolerance, and zero-touch operation to enable digital transformation at the edge.
Rollbar announced Adaptive Alerts, a new feature to its error monitoring SaaS that uses anomaly detection to learn the standard behavior of enterprise applications and alerts developers about atypical exception rates, reducing unwanted noise – with zero ongoing configuration.
Partnerships, collaborations, and more
Microsec.ai announced that its agentless Cloud-Native Application Protection Platform (CNAPP) has been integrated into Broadcom’s Symantec Data Loss Prevention (DLP) solution. This partnership extends Broadcom’s Symantec DLP into public IaaS environments with a unified solution across the major public cloud infrastructure providers, including Amazon Web Services, Microsoft’s Azure, Google Cloud Platform, and IBM Cloud.
Qualcomm Technologies and Google Cloud announced a collaboration to accelerate neural network development and differentiation for Snapdragon mobile, ACPC, and XR platforms, Snapdragon Ride Platform, and Qualcomm Technologies’ IoT platforms by using Google Cloud Vertex AI Neural Architecture Search (NAS) with the Qualcomm Artificial Intelligence (AI) Engine.
ScyllaDB announced that it has been accepted into the Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program. ScyllaDB’s acceptance into the AWS ISV Accelerate Program enables the company to meet customer needs with the AWS Sales organization. Working with the AWS Sales team enables ScyllaDB to provide better outcomes to AWS customers.
Workato announced it is joining the AWS Partner Network (APN). Workato also announced its participation in AWS AI for Data Analytics (AIDA), a set of AWS Partner solutions that embed predictive analytics into mainstream analytics workspaces. As part of the launch, Workato has released an AI/ML Connector, which allows for seamless integrations from any data source into Amazon SageMaker and AI/ML Accelerator.
If your company has real-time analytics news, send your announcements to [email protected].
In case you missed it, here are our most recent previous weekly real-time analytics news roundups:
