Middleware announced a new iteration of its full-stack cloud observability platform that helps developers monitor applications and infrastructure in real-time, boost operational efficiency, and minimize downtime.
The latest version provides complete control over telemetry data and costs, new monitoring capabilities, faster root cause analysis, and broader integration support.
"Developers no longer want outdated debugging systems. They seek faster, cost-effective, automated solutions, for monitoring distributed architectures with scalable and easy-to-learn real-time observability capabilities. Initially, our goal was to drive adoption by providing cost-effective, end-to-end observability. Now, we're making it easier for users to instrument services and start quickly, without a steep learning curve. Guided by customer insights, we're enhancing the UX to transform their journey," said Laduram Vishnoi, Founder and CEO, Middleware.
What's improved within Middleware:
- New UI/UX: Middleware now features a completely redesigned frontend, with over 300 refreshed screens, 100 customizable dashboards, new alerts on custom metrics, and a unified date picker.
- Auto Instrumentation: Middleware now supports auto instrumentation for applications written in Python, Node.js, Java, .NET, and Golang using the OpenTelemetry operator. This allows for distributed tracing with zero code changes and simplifies the instrumentation process.
- Datadog Agent Support: Developers can now send logs, metrics, and traces from Datadog agents directly to Middleware. This eliminates the need for new agents or configurations, making the transition to Middleware effortless.
- Status Page: Users can now create status pages and publish them to their websites. It allows for synthetic checks and incident management, providing a public-facing status page that displays the availability of services/products. Users can send notifications via Slack and email, keeping stakeholders informed during outages.
- Product Performance Monitoring within Real User Monitoring (RUM): Middleware's RUM now tracks core web vitals (FCP, LCP, FID, CLS) and extends to native iOS and Android apps, delivering insights on performance metrics and user interactions across mobile platforms.
- New Integrations: Middleware now supports AWS integration for collecting logs, metrics, and events from ECS, EC2, S3, RDS, Firehose, Lambda, and EBS, simplifying AWS monitoring with less complex configurations. Middleware can also ingest logs from Elastic Logstash, thereby replacing Elastic Search and Open Search.
- Log Patterns: This feature allows users to quickly identify logs with similar patterns, facilitating faster root cause analysis.
"We are committed to making our cloud-native observability platform more powerful, intuitive, and cost-effective by using OpenTelemetry, cloud object storage, and fast analytical query processing. We're introducing ingestion controls and pipelines for precise user control over telemetry data sent to Middleware. We'll also leverage AI to detect telemetry anomalies, suggest alerts, and enable querying using natural language," said Tejas Kokje, Head of Engineering at Middleware.
The Latest
Monitoring your cloud infrastructure on Microsoft Azure is crucial for maintaining its optimal functioning ... In this blog, we will discuss the key aspects you need to consider when selecting the right Azure monitoring software for your business ...
All eyes are on the value AI can provide to enterprises. Whether it's simplifying the lives of developers, more accurately forecasting business decisions, or empowering teams to do more with less, AI has already become deeply integrated into businesses. However, it's still early to evaluate its impact using traditional methods. Here's how engineering and IT leaders can make educated decisions despite the ambiguity ...
2024 is the year of AI adoption on the mainframe, according to the State of Mainframe Modernization Survey from Kyndryl ...
When employees encounter tech friction or feel frustrated with the tools they are asked to use, they will find a workaround. In fact, one in two office workers admit to using personal devices to log into work networks, with 32% of them revealing their employers are unaware of this practice, according to Securing the Digital Employee Experience ...
In today's high-stakes race to deliver innovative products without disruptions, the importance of feature management and experimentation has never been more clear. But what strategies are driving success, and which tools are truly moving the needle? ...
The demand for real-time AI capabilities is pushing data scientists to develop and manage infrastructure that can handle massive volumes of data in motion. This includes streaming data pipelines, edge computing, scalable cloud architecture, and data quality and governance. These new responsibilities require data scientists to expand their skill sets significantly ...
As the digital landscape constantly evolves, it's critical for businesses to stay ahead, especially when it comes to operating systems updates. A recent ControlUp study revealed that 82% of enterprise Windows endpoint devices have yet to migrate to Windows 11. With Microsoft's cutoff date on October 14, 2025, for Windows 10 support fast approaching, the urgency cannot be overstated ...
In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.
CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...
