Cradlepoint | August 02, 2023
Cradlepoint, the global leader in cloud-delivered LTE and 5G wireless network edge solutions, today announced that Los Angeles County Registrar-Recorder/County Clerk (RR/CC) has leveraged Cradlepoint to modernize the network infrastructure of one of the largest and most diverse counties in the United States, creating a new paradigm to enhance accessible voting capabilities to eligible voters.
Before 2020, the voting infrastructure and registration processes across Los Angeles County remained widely unchanged from the 1960s. The county recognized the need for a complete voting overhaul — technological and procedural — to address the significant demographic changes impacting equitable voting access. On the technological front, the RR/CC sought innovative, pop-up networking solutions capable of reliably and securely connecting voting technology across widespread and remote locations, while enabling centralized, real-time monitoring and management capabilities.
In November 2020, RR/CC approached their existing connectivity vendor Cradlepoint to test and deploy Cradlepoint’s 5G-optimized Wireless Wide Area Network (WWAN) solutions, in the form of NetCloud Manager and E3000 routers, which enabled highly scalable, reliable, and secure pop-up networks across approximately one thousand voting centers during the presidential election. Key solution capabilities and outcomes include:
Centralized network management:With NetCloud Manager, RR/CC’s in-house IT team successfully managed the deployment, configuration, and troubleshooting of each network device from centralized locations, reducing unnecessary complexity and on-site visits to quickly scale networks ad hoc for future election-related initiatives.
Consistent enforcement of security policies:NetCloud Manager and E3000 routers enabled the team to take a multi-layered approach to security with policy-based VPN tunneling and certificate-based authentication, keeping sensitive voting data secure to remain compliant with state and federal laws and maintaining the integrity of the democratic electoral process.
Continuous, flexible network connectivity:E3000 routers utilize ethernet, Wi-Fi, and 5G/LTE connectivity to enable multiple transport layers, which keeps voting technology operational across locations, despite any primary network disruptions or failures.
“Los Angeles County recognized the pressing need to modernize our network infrastructure to enhance the accessibility, transparency, and security in the electoral process, but limited IT resources impacted our ability to deploy and manage distributed networks at scale,” said Aman Bhullar, CIO at LA County Registrar-Recorder/County Clerk. “Our partnership with Cradlepoint enabled this transformation, helping us to not only accomplish our mission with innovative solutions, but also to set a new standard for widely accessible voting capabilities.”
“In today’s digital world, pop-up connectivity services have become vital to operate in new places and ways, and the Los Angeles County Registrar-Recorder/County Clerk is a great example of how LTE/5G connectivity and Cradlepoint’s 5G-optimized solutions seamlessly work together to help the office adapt to the modern needs of its constituents,” said Bryan Wood, Sr vice president of sales, North America for Cradlepoint. “We are honored to partner with the Los Angeles County Registrar-Recorder/County Clerk office to ensure eligible voters have access to polling locations, no matter their whereabouts in the county during an election period.”
Cradlepoint enables the freedom to connect people, places, and things that drive more experiences, more ways to work, and better business results — anywhere. The company is a pioneer in Wireless WAN, offering advanced 4G and 5G routers and adapters — controlled through Cradlepoint NetCloudTM. Enterprise businesses and public sector agencies rely on Cradlepoint and its Cellular Intelligence to build a reliable, secure network wherever they need it, connecting fixed and temporary sites, vehicles, IoT devices, and remote employees. Headquartered in Boise, Idaho, Cradlepoint is a wholly owned subsidiary of Ericsson (NASDAQ: ERIC) and part of their Business Area Enterprise Wireless Solutions.
Virtual Desktop Strategies, Virtual Server Management
businesswire | August 18, 2023
LogicMonitor, a leading SaaS-based unified observability platform for hybrid IT infrastructure, today announced expanded integrations, insights and workflows to the LM Envision Platform. LogicMonitor is also introducing Dexda, an event management solution that filters through the noise of thousands of daily alerts by using advanced machine learning (ML) techniques, contextual enrichment capabilities and deduplication efforts. Together, these additions allow customers to reach a significantly lower mean time to resolution and lower risks to the business.
“Every business is under tremendous pressure to seamlessly deliver exceptional digital performance,” states Christina Kosmowski, CEO, LogicMonitor. “To efficiently do that, our customers look to us to contextualize the overwhelming amount of data within their complex IT environments.“
The core of LogicMonitor’s platform has been built with advanced machine learning, intelligence and automation, combined to abstract complexity and deliver business impact through IT data collaboration. The company has focused its product roadmap in the areas of intelligence, experience and extensibility.
Intelligence and Automation
Dexda is the next evolution of AI Ops. It is built on top of LogicMonitor’s extensive data set and integrated into its platform, so users can effortlessly move from alerting to automating actions. Key attributes of Dexda include:
Adaptive Correlation- Alerts are automatically re-clustered when a more optimal option is detected.
ServiceNow Ready- Automatically enriches Dexda alerts with ServiceNow CMDB data to drive additional context for ML correlations.
User-defined Correlation- Dexda admins can now fine-tune the ML models to meet their unique needs or build new ML models.
In addition to Dexda, LogicMonitor has also delivered:
Event-Driven Ansible Integration- This jointly developed solution with Red Hat assists with auto-remediation and auto-troubleshooting. This integration lets customers trigger remediation workflows in Ansible and act in accordance with predefined rules.
Datapoint Analysis- Leverages machine learning techniques to find related metrics and patterns across different resources, which in turn reduces MTTR and increases productivity.
Unified Platform Experience
A unified platform experience is critical for consistency, adaptability and scalability while reducing tool sprawl and data complexity. Troubleshooting in hybrid modern environments requires a contextual and intuitive UX across devices, services and networks. This modernization and unification effort is the key to continually delivering new capabilities to users and keeping time to value short for new customers.
UI Modernization- Optimized to present information in complex hybrid environments. Components for all parts of the LM Envision platform now include bulk actions, better search and filtering and new editors for LogicModules.
Expanded Cloud Support- 20 new out-of-the-box dashboards for AWS and Azure, accelerating time to value while providing service-specific views for more insight into health, performance and availability.
Log Ingest and Filter Simplification- Introduced declarative UI to simplify log collection and configuration. Users can also add custom LM Properties to the logs which allows for more flexible searching and potentially faster MTTR.
Digital Experience Monitoring- Synthetic tests now support multi-factor authentication (MFA) and automated alerts for latency and error conditions.
As a trusted partner in the advancement of monitoring across on-prem, hybrid and cloud environments, LogicMonitor continues to invest in new ways to manage and monitor network equipment through integrations woven tightly into its overall platform experience.
Improved VMware vSphere Support- Support for vSphere 8 and automation for the discovery and monitoring of new ESXi Hosts and mission-critical Virtual Machines, eliminating manual processes – reducing the time, resources and risk involved in repeatable remediation processes.
Cisco Meraki and Catalyst SD-WAN- These new integrations make it easier than ever to monitor Cisco environments in the broader context of one's heterogenous hybrid infrastructure. Customers can now get alerted about anomalous events, visualize network traffic usage and see how Cisco vEdge/cEdge (formerly Viptela), SD-WAN Controllers, Meraki Security Appliances, Switches, Wireless Access Points and Smart Cameras connect to their network and where alert conditions exist.
Improved Kubernetes Monitoring- Greater coverage and deeper visibility into frequently changing cloud environments with new support and coverage for Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere and enhanced Kubernetes helm and scheduler monitoring.
SaaS Monitoring-M365 and Okta logs allow users to clearly understand why problems happen, pinpoint the root cause and quickly troubleshoot alongside alerts.
By advancing many key features of its platform, LogicMonitor customers can harness the full potential of their data to make informed decisions with confidence and efficiency. This approach not only streamlines operations, but also provides clarity and precision to the complexities of their IT landscape.
LogicMonitor’s SaaS-based observability intelligence platform, LM Envision, helps ITOps, CloudOps, DevOps, CIOs, and business leaders gain operational visibility into and predictability across the technologies that modern organizations depend on to deliver extraordinary employee and customer experiences. LogicMonitor seamlessly enables unified observability across infrastructure, networks, clouds, containers and applications, empowering companies to focus less on troubleshooting and more on innovation.
Virtual Desktop Strategies, Virtual Server Infrastructure
prnewswire | August 21, 2023
DataBloom AI, a leading provider of virtual data lakehouse solutions, today announced the beta release of Blossom Sky for Google Cloud. The beta release is part of Databloom AI's cooperation with Google for Startups Cloud Program.
Blossom Skyis the first virtual data lakehouse (VDL) on the market. It enables organizations to store, process, and analyze data within multiple data lakes and data warehouses via a single, unified platform. Federated data processing enables customers and users to manage and process their data directly at the source through data pipelines, including low-level data operations like map, join, filter, or map reduce and high-level machine learning operations such as KMeans, SGD or PageRank.
This provides organizations with a number of benefits, including:
Increased Data Scalability and Flexibility: Blossom Sky enables organizations to leverage their existing data infrastructure without centralizing data. This provides organizations with the ability to scale up or down as required.
Reduced Data Duplication and Complexity: Blossom Sky removes the need for expensive Extract, Transform, Load (ETL) and data transfer costs, reducing data duplication and making data management easier for organizations.
Better Data Security and Governance: Blossom Sky brings federated data processing to every organization as a Software as a Service (SaaS) solution.
Time to insights (T2I): Blossom Sky brings together data silos in a single data management platform, making it easier for organizations to discover, analyze, and act on data, resulting in faster T2I.
"We are excited to partner with Google Cloud to bring Blossom Sky to market," saidAlexander Alten, CEO of Databloom AI. "Google Cloud's infrastructure and services provide the perfect foundation for our platform, and we believe that this partnership will help us to accelerate our growth and reach more organizations around the world."
Databloom AI, headquartered inMiami, FL, is one of the world's leading virtual data lakehouse providers. Databloom's cloud-based data lakehouse platform allows organizations to consolidate, manage, and analyze data across multiple data lakes or data warehouses in one, single platform.