Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI.
For modern organizations, having a highly connected IT environment is essential. 97% of IT leaders believe it would be beneficial to combine the utilization of APIs, microservices and integration, while only 1% say that they do so already, as revealed in a recent survey conducted by Software AG.
The need for fast and efficient integration — between different systems, applications, departments and individuals — in enterprise organizations has never been greater, according to 92% of respondents.
This need will only continue to grow, especially considering IDC’s prediction that over 500 million digital apps and services will be developed and deployed using cloud-native approaches by 2023.
IT Leaders Agree on Benefits of APIs, Microservices and Integration
APIs:
■ 98% of respondents believe that APIs are or would be extremely or very important to their organizations’ operations.
■ More than eight of 10 (86%) IT leaders believe their organizations would be working in silos without the use of APIs.
■ Nearly just as many (79%) said they utilize APIs for digital transformation projects.
Microservices:
■ Most (81%) IT leaders currently utilize microservices within their organization to some extent and almost a fifth (18%) don’t use microservices currently, but plan to in the future.
■ 95% believe that microservices are or would be extremely or very important to their organization’s operations.
■ More than half (54%) plan to implement the use of microservices within the next year.
Integration:
■ Integration solutions are now commonplace in organizations, with 99% using one.
■ Organizations are most likely to be running some form of hybrid integration solution, both on-premises and in the cloud (64%), versus cloud-only (23%) and on-premises only (12%).
■ Nearly all (99.9%) respondents identify at least one benefit that is experienced in their organization as a result of using integration apps or systems, with the top three reported as: improved productivity/time savings (54%); greater visibility across the organization (47%); ability to manage information better (47%).
Challenges Persist, Limiting Further Success
Despite widespread adoption, barriers remain that limit APIs, microservices and integration systems from being maximized. Notably, concerns around lacking the needed skillset exists across all areas.
The top three challenges faced when utilizing APIs include: ensuring API security (48%); limited staff skillset to utilize APIs (41%); risk to scalability and quality of service (40%).
When it comes to microservices, the following pitfalls were noted: limited budget to invest in this (48); limited staff skillset to utilize microservices (47%); difficult to manage the entire IT environment (45%); complexity (45%); integration of different apps/services is more difficult (45%).
Lastly, the top challenge when utilizing integration applications and systems relates to ensuring security from external threats (47%). Internal organizational barriers such as limited budget (40%), staff skillset (40%) and resistance to change (40%) also come into play.
The Opportunity for a Holistic Approach
As integration demands continue to grow and organizations seek more sophisticated solutions, looking at APIs, microservices and integration solutions as separate parts is no longer enough. The future for organizations is a bundled solution that incorporates all of these together. Most IT leaders believe this approach offers benefits, which could include: boosted productivity and time savings (51%); higher customer satisfaction (49%); the ability to gain better customer insights (49%); faster time to market (45%); long term-cost savings (44%).
A vast majority (93%) of IT leaders also believe that organizations that can integrate API management with their use of microservices will have a distinct advantage over their competitors.
Industry News
Traceable AI announced an Early Access Program for its new Generative AI API Security capabilities.
StackHawk announced a new integration with Microsoft Defender for Cloud to help organizations build software more securely.
MacStadium announced that it has obtained Cloud Security Alliance (CSA) Security, Trust & Assurance Registry (STAR) Level 1, meaning that MacStadium has publicly documented its compliance with CSA’s Cloud Controls Matrix (CCM), and that it joined the Cloud Security Alliance (CSA), the world’s leading organization dedicated to defining and raising awareness of best practices to help ensure a secure cloud computing environment.
The Cloud Native Computing Foundation® (CNCF®) released the two-day schedule for CloudNativeSecurityCon North America 2024 happening in Seattle, Washington from June 26-27, 2024.
Sumo Logic announced new AI and security analytics capabilities that allow security and development teams to align around a single source of truth and collect and act on data insights more quickly.
Red Hat is announcing an optional additional 12-month EUS term for OpenShift 4.14 and subsequent even-numbered Red Hat OpenShift releases in the 4.x series.
HAProxy Technologies announced the launch of HAProxy Enterprise 2.9.
ArmorCode announced the general availability of AI Correlation in the ArmorCode ASPM Platform.
Octopus Deploy launched new features to help simplify Kubernetes CD at scale for enterprises.
Cequence announced multiple ML-powered advancements to its Unified API Protection (UAP) platform.
Oracle announced plans for Oracle Code Assist, an AI code companion, to help developers boost velocity and enhance code consistency.
New Relic launched Secure Developer Alliance.
Dynatrace is enhancing its platform with new Kubernetes Security Posture Management (KSPM) capabilities for observability-driven security, configuration, and compliance monitoring.
Red Hat announced advances in Red Hat OpenShift AI, an open hybrid artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across hybrid clouds.