The recent update to the product introduces several significant improvements aimed at enhancing user experience and efficiency. Notable among these are the advanced search and filtering options, comprehensive mapping of cross-application dependencies, the introduction of new and improved migration advisors, and a completely redesigned context menu. According to the company, these features are designed to provide users with instant access to crucial information and insights, streamlining the process of managing and understanding software applications.

CAST Imaging facilitates the visualization and management of software application structures. By automatically mapping out tens of thousands of code elements and their interrelationships into a dynamic knowledge base, it aids architects and developers in swiftly locating necessary information. The platform’s enhanced capabilities, particularly the advanced filtering options, are tailored to address issues related to security, error handling, and performance efficiency, thereby optimizing the application development and maintenance processes, according to CAST.

CAST Imaging has also bolstered its impact analysis functionality, offering users a more effective means to evaluate the consequences of changes made to UI and database tables. This enhancement is particularly beneficial for narrowing down the scope of regression tests required after application modifications. 

“This important update is all about making it easier and faster for engineers to find the answers they need when changing existing applications, whether as part of ongoing maintenance or a massive modernization effort,” said Luc Perard, vice president of CAST Imaging. “It’s all about enabling them to act faster and with greater confidence as they navigate the internal complexities of the applications.”

In addition, the latest release enhances the suite of Advisors within the platform, which offer personalized recommendations aimed at streamlining and minimizing the risks associated with application modernization and cloud migration projects. Among the notable improvements is the upgraded mainframe-to-AWS migration Advisor, which now performs 50% more checks, ensuring a more thorough analysis and guidance for users looking to migrate their applications to the cloud.

The introduction of a new database migration Advisor offers an expansion in the platform’s capabilities, specifically facilitating the migration from DB2 to MySQL.

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This platform is set to redefine app development by offering a secure, efficient, scalable, and cost-effective solution for developers. With Pear Runtime, developers can create unlimited applications leveraging robust open-source P2P infrastructure, ensuring that they incur no server infrastructure costs now or in the future.

The development of Pear Runtime is driven by a mission-oriented team dedicated to crafting the most secure, efficient, and affordable platform available. They aim to challenge and transform the current Web 2.0 landscape, encouraging the app development community to embrace a new paradigm that prioritizes security, efficiency, and cost savings. Pear Runtime provides a foundation for the development of applications that disrupt traditional internet applications and services.

At the heart of Pear Runtime’s innovation is its simplification of peer-to-peer application creation. The platform equips developers with the necessary tools and solutions to build P2P apps where users have complete sovereignty over their data. By eliminating the reliance on centralized servers, Pear Runtime facilitates direct communication between devices and users to create a more private, secure, and decentralized digital ecosystem. 

The vision extends to imagining a P2P streaming service where artists directly connect with their audience without intermediaries, a decentralized learning platform that bridges knowledge gaps globally, and an unbiased search engine free from creator censorship. 

“Our mission is to prove that Pear Runtime can enable users to enjoy the economic, social and creative freedoms that constitute the core values of the Internet,” commented Paolo Ardoino, co-founder and chief strategy officer at Holepunch. “We challenge the conventional notion that servers are indispensable to online interaction and reject the idea that communication between users necessitates connection to mysterious data centers. We aim to dismantle the misconception that launching a digital enterprise requires exorbitant server infrastructure costs.”

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According to AWS, there have been significant improvements since the launch, such as the introduction of Amazon Aurora PostgreSQL-Compatible Edition as an additional option for custom vector storage alongside other options like the vector engine for Amazon OpenSearch Serverless, Pinecone, and Redis Enterprise Cloud. 

One of the new updates that Amazon is announcing is an expansion in the choice of embedding models. In addition to Amazon Titan Text Embeddings, users can now select from Cohere Embed English and Cohere Embed Multilingual models, both of which support 1,024 dimensions, for converting data into vector embeddings that capture the semantic or contextual meaning of the text data. This update aims to provide users with more flexibility and precision in how they manage and utilize their data within Amazon Bedrock.

To offer more flexibility and control, Knowledge Bases supports a selection of custom vector stores. Users can choose from an array of supported options, tailoring the backend to their specific requirements. This customization extends to providing the vector database index name, along with detailed mappings for index fields and metadata fields. Such features ensure that the integration of Knowledge Bases with existing data management systems is seamless and efficient, enhancing the overall utility of the service.

In this latest update, Amazon Aurora PostgreSQL-Compatible and Pinecone serverless have been added as additional choices for vector stores.

Many of Amazon Aurora’s database features will also apply to vector embedding workloads, such as elastic scaling of storage, low-latency global reads, and faster throughput compared to open-source PostgreSQL. Pinecone serverless is a new serverless version of Pinecone, which is a vector database for building generative AI applications. 

These new options provide users with greater variety and scalability in their choice of vector storage solutions, allowing for more tailored and effective data management strategies. 

And finally, an important update to the existing Amazon OpenSearch Serverless integration has been implemented, aimed at reducing costs for users engaged in development and testing workloads. Now, redundant replicas are disabled by default, which Amazon estimates will cut costs in half. 

Together, these updates underscore Amazon Bedrock’s commitment to enhancing user experience and offering versatile, cost-effective solutions for managing vector data within the cloud, according to Antje Barth, principal developer advocate at AWS in a blog post. 

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The collaboration between the Open Sustainable Technology community and the Ecosyste.ms platform enhances this initiative by providing detailed metadata about the open-source ecosystem, independent of GitHub. 

This integration allows for projects to be sorted by various metrics, such as download numbers, facilitating a more organized and accessible means for developers to find projects in need of contributions. To participate, projects can list themselves on the Open Sustainable Technology GitHub repository with specific labels to attract new contributors, thereby growing a sustainable and active community.

For both experienced developers and newcomers, ClimateTriage offers a unique opportunity to make a meaningful impact in the realm of sustainable technology. By curating a directory of projects that are making a difference, the platform simplifies the process for individuals to find and contribute to projects that match their interests and skills. 

This initiative is a collaborative effort involving Codeshark, Ecosyste.ms, Open Sustainable Technology, Open Corridor, and Linux Foundation Energy, marking a significant step towards fostering a global community dedicated to leveraging technology for environmental sustainability.

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It includes pre-configured components like large language models (LLMs) from Ollama, vector and graph databases from Neo4j, and the LangChain framework. Docker also introduced its first AI-powered product, Docker AI.

The GenAI Stack addresses popular use cases for generative AI and is available in the Docker Learning Center and on GitHub. It offers pre-configured open-source LLMs, assistance from Ollama for setting up LLMs, Neo4j as the default database for improved AI/ML model performance, knowledge graphs to enhance GenAI predictions, LangChain orchestration for context-aware reasoning applications, and various supporting tools and resources. This initiative aims to empower developers to leverage AI/ML capabilities in their applications efficiently and securely.

“Developers are excited by the possibilities of GenAI, but the rate of change, number of vendors, and wide variation in technology stacks makes it challenging to know where and how to start,” said Scott Johnston, CEO of Docker CEO Scott Johnston. “Today’s announcement eliminates this dilemma by enabling developers to get started quickly and safely using the Docker tools, content, and services they already know and love together with partner technologies on the cutting edge of GenAI app development.”

Developers are provided with easy setup options that offer various capabilities, including effortless data loading and vector index creation. This allows developers to import data, create vector indices, add questions and answers, and store them within the vector index. 

This setup enables enhanced querying, result enrichment, and the creation of flexible knowledge graphs. Developers can generate diverse responses in different formats, such as bulleted lists, chain of thought, GitHub issues, PDFs, poems, and more. Additionally, developers can compare results achieved between different configurations, including LLMs on their own, LLMs with vectors, and LLMs with vector and knowledge graph integration.

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This developer-centric tool enables API providers to create personalized landing pages, offering consumers comprehensive resources for easy API implementation. The SwaggerHub Portal integrates with SwaggerHub, a popular API design and documentation tool, as well as Explore, an API client supporting REST and event-driven specifications. 

This integration also allows teams of any size to explore, design, test, and document APIs all in one place, aiming to enhance the developer experience.

“SmartBear is focused on API-first development, helping developers to solve their challenges when it comes to design, documentation, testing, and adoption,” said Sean Butler, vice president of product management at SmartBear. “With a growing number of APIs available, providers need help with discoverability and onboarding. To address this challenge, we are excited to launch these two innovative milestones – SwaggerHub Portal and its integration with SwaggerHub Explore – as we advance toward the SmartBear API Developer Lifecycle platform to deliver the best developer experiences in the industry.”

SlashData found that more than 90% of developers use APIs regularly, with 69% relying on third-party APIs. However, successful API implementation depends on discoverability. SwaggerHub Portal addresses this by enhancing visibility and adoption, enabling providers to easily onboard consumers for a better customer experience.

SwaggerHub’s integration with Portal allows developers to generate documentation from their API designs with zero context switching. This minimizes time to market, making their APIs easy to discover and adopt. Development teams, whether code-first, design-first, or hybrid, can generate documentation from Explore, no longer needing to start from scratch when documenting, SmartBear explained.

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GitLab announces new Security and Governance updates

GitLab today announced new enhancements to its Security and Governance solution which aims to help organizations integrate security and compliance in every step of the software development lifecycle as well as secure their software supply chain.

According to the company, these enhancements are intended to provide visibility and management over security findings and compliance requirements, as well as deliver an improved software supply chain security experience.

Among these enhancements are the ability to ingest software bill of materials reports and build artifact signing. Additionally, users will be better equipped to proactively identify vulnerabilities and fulfill compliance and regulatory standards. 

Slim.AI launches Container Intelligence

The cloud-native optimization and security company Slim.AI launched Container Intelligence to allow users to gain insights into what’s in the most popular container images that they’re baking into their software every day.

Container Intelligence works to scan over 160 popular public container images making up 30% of total global pull volume utilizing a combination of both open-source and proprietary scanning tools.

With this release, users gain access to publicly available container profile pages on the Slim.AI website; vulnerability counts by severity, container construction details, and package information; fully searchable and categorized containers; and the most updated data. 

Sigstore announces free software signing service

Sigstore today announced the general availability of its free software signing service. This release is intended to offer open source communities access to production-grade stable services for artifact signing and verification.

According to sigstore, the company’s goal is to provide a set of tools designed to improve supply chain security by simplifying the process of signing, verifying, and checking the software developers are building and consuming.

Sigstore stated that it will operate the service with a 99.5% uptime SLO and round-the-clock pager support. Project sponsors Google, Red Hat, GitHub, and Chainguard have helped make this possible by providing the resources that are essential to service level objectives. 

JFrog’s Pyrsia initiative incubating under CD Foundation

The liquid software company JFrog has announced that Pyrsia, an open-source software community initiative that utilizes blockchain technology in order to secure software packages, is now an incubating project under the Continuous Delivery Foundation.

“We’re excited to join our long-time partners at the CD Foundation in creating a groundswell around Pyrsia to further its mission to better secure the software supply chain,” said Stephen Chin, VP of developer relations at JFrog and governing board member for the CD Foundation. “With the CD Foundation’s support, and that of our incredible industry partners, developers can leverage Pyrsia to have peace-of-mind in knowing their open source components have not been compromised, and confidently deliver secure software at scale.”

With this incubation, JFrog and the CD Foundation intend to grow Pyrsia’s backing and engagement through a centralized governance model as well as a defined roadmap, and representation within the wider technology and open-source communities.

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CNCF announces first products under its certification program

The Cloud Native Computing Foundation (CNCF) has unveiled the first set of certified products as part of the Cloud Native Network Function (CNF) Certification Program.

First announced back in May 2022, the CNF certification program works to assist Communication Service Providers (CSPs) as well as other telecommunications organizations in identifying which Network Equipment Providers follow cloud native best practices.

According to CNCF, the CNF Certification Program utilizes the foundation’s CNF Test Suite and supports every product that runs in a certified Kubernetes environment. The CNF Test Suite is open-source and intended for telecommunications organizations to validate how well they are following cloud native best practices. 

Logz.io announces Kubernetes360

The team at the unified SaaS platform Logz.io today announced Kubernetes360. This release is intended to unify open-source logging, metrics, and traces all in one platform that is purpose-built for apps deployed in Kubernetes environments. 

According to Logz.io, in combination with the Kubernetes agent the company released a few months ago, Kubernetes360 allows DevOps professionals to quickly achieve full observability.

This release is also intended to tackle the challenges that come with Kubernetes’ inherent flexibility while still remaining open-source and maintaining a positive user experience for troubleshooting. 

ServiceNow announces new feature in Lightstep Observability Portfolio

ServiceNow, the digital workflow company, today announced the general availability of Lightstep UQL (Unified Query Language) allowing users to extend visibility across Kubernetes applications. 

With Lightstep UQL, the process of migrating observability from multiple different tools onto a unified Lightstep platform is simplified through a single query language. This works to query and correlate metrics, logs, and traces on demand across several Kubernetes nodes, servers, or serverless functions.

“Engineers today can leverage observability-as-code for more powerful and flexible insights into the health and performance of their cloud-native applications,” said Ben Sigelman, general manager and co-founder of Lightstep from ServiceNow. “This is especially important when thinking about modern architectures like Kubernetes, which are highly complex and dynamic. Lightstep UQL works to ensure that every Kubernetes application deployed is fully instrumented and observable by default.”

Komodor launches Helm Dashboard 

The Kubernetes troubleshooting platform, Komodor, today released Helm Dashboard. With this, users are provided with the missing Graphical User Interface (GUI) for Helm, the Kubernetes package manager. 

Helm Dashboard comes as an open-source offering that runs locally and opens in the browser, allowing developers to visualize which Helm deployments failed and determine what resources caused it. 

According to the company, Helm Dashboard helps developers understand whether a Helm Chart is healthy or unhealthy, provides a diff that highlights what changed within the yaml files between deployments, and then allows the developer to quickly apply a hotfix.

Q2iQ updates its Kaptain AI/ML platform

According to D2iQ, the enterprise Kubernetes provider, Kaptain AI/ML 2.1 allows Nvidia GPU Container Catalog (NGC) containers to be launched directly from Kubeflow, offering developers pretrained GPU-optimized models for greater accuracy in production.

This release also features an integration of Kubeflow and MLflow, providing users with metadata tracking and visualization for improved performance models and the tracking of experiments directly from their notebooks. 

Additionally, Kaptain AI/ML 2.1 offers users increased security with an improved identity provider integration.  

Cosmonic PaaS developer preview now available 

The WebAssembly pioneer Cosmonic announced that it will be offering full developer access to its distributed application development platform.

The Cosmonic PaaS is a lightweight, low-boilerplate environment that works to simplify application development and allows developers to more quickly run their apps anywhere at scale.

Key benefits of the platform include the ability to go from sketch to scale quickly, the ability for developers to bring their own laptops, cloud resources, or data centers with super constellations, the ability for applications to run anywhere, baked in automation and security, and the ability for developers to interface smoothly with operations, at a higher level.

Dell Technologies announces infrastructure updates 

According to the company, there are three areas it is investing in: adding container support, accelerating DevOps practices, and creating multi-cloud consistency.

Among these updates is an expanded strategic relationship with Red Hat along with three solutions for OpenShift, a deepened relationship with VMware, and solutions for Amazon EKS Anywhere, Google Anthos, Microsoft Azure Kubernetes Service, and SUSE Rancher.

Additionally, Dell offers usage-based pricing so users no longer need to pay for over-provisioned resources. The company also created a standardized set of RESTful APIs that enable software control of its products.

WSO2 releases latest version of Asgardeo IDaaS

The API management company WSO2 today announced the release of the Asgardeo identity as a service (IDaaS). This works to add integration to Choreo, WSO2’s digital platform as a service (digital PaaS). 

The company said that this new version of Asgardeo builds on its business-to-consumer capabilities by adding business-to-business (B2B) support through the new B2B organization management functionality. 

“Increasingly, enterprises that have successfully used CIAM to build trusted relationships with consumers now seek to make CIAM a cornerstone for delivering rich, personalized experiences to all customers,” said Geethika Cooray, vice president and general manager of identity and access management at WSO2. “The latest release of our Asgardeo IDaaS uniquely empowers these organizations to realize their goals by making the next level of CIAM a reality via integration with Choreo and adding the industry’s most robust support for B2B organization management.”

Solo.io announces Istio Ambient Mesh to be available in Gloo Mesh

The cloud-native application company Solo.io has announced that it will launch Istio Ambient Mesh in Gloo Mesh version 2.2. 

This release is intended to support the new sidecar-less ambient mode in Istio that was launched back in September of 2022.

Key features of this release include no sidecar injection; the creation of ‘ztunnel’, a lightweight mechanism for securing and routing traffic; and the creation of waypoint proxies to implement Layer 7 policies and reporting.

Ambassador Labs’ latest product release 

The cloud-native developer experience company announced a new set of enhancements available in Ambassador Cloud that are intended to accelerate self-service Kubernetes developer team workflows.

According to the company, with this, teams gain access to a robust integration with the Ambassador Cloud Service Catalog with Telepresence.  This works to simplify the process teams go through to view and manage both services and clusters across their organization.

Additionally, Ambassador Edge Stack now offers users an updated Cloud Diagnostics UI that is intended to allow any developer in the organization the ability to gain insight into active API routes, configuration notices, and more.

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The project made by the authors of the Rust search engine library tantivy recently raised $2.6 million in a seed round co-led by FirstMark and firstminute with many more participants. 

Quickwit 0.2 was launched in January with new features such as the ability to ingest Kafka natively with exactly-one semantics, a search stream API, PostgreSQL metastore, tag pruning, and a proper indexing pipeline.

The search engine uses a different approach than Elasticsearch which relies on document replication. Meanwhile, Quickwit indexes documents on a single node and leaves it to an object storage to replicate the resulting index files.

“We need to replicate documents somewhere, to consider them ingested,” Paul Masurel, co-founder of Quickwit wrote in a blog post. “We make it possible for users to plug Quickwit straight into their favorite distributed queue. Right now Quickwit only supports Kafka.”

Common use cases for Quickwit include searching through logs, adding full-text search capabilities to OLAP databases such as ClickHouse, and searching through backups that sit on cloud storage by adding Quickwit index files on your same storage.

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MediaQuery now has Display Features, which are parts of the display that can be obstructed by hardware features, such as the hinge on the Surface Duo. 

When users switch over to the master channel on their local Flutter setup, they can now access a property called ‘displayFeatures’. 

When users want to display content on only one screen of Surface Duo, which is the case when they’re showing a dialog, they now have the option of using the ‘DisplayFeatureSubScreen’ widget. The widget is mostly needed for modal routes and is used in the “Dialogs and popups support” PR. 

“Some of our contributions have not yet been merged. If you want to give them a try today, this is now far easier to do compared to when we first proposed these changes. Back then you had to configure a custom Flutter Engine. Things are a lot simpler now,” Andrei Diaconu, senior software engineer of Surface Duo Experience wrote in a blog post. 

Microsoft also added a number of new samples for foldable Flutter that showcase design patterns for foldable devices. 

In addition, the Flutter team has recently released Flutter 2.10 in which the most important announcement is that Windows support has reached production quality. 

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