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"Developers no longer want outdated debugging systems.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
A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...
What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...
In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...
In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions....
There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...
IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...
In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ...
In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...
Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty ...
IT infrastructure (on-premises, cloud, or hybrid) is becoming larger and more complex. IT management tools need data to drive better decision making and more process automation to complement manual intervention by IT staff. That is why smart organizations invest in the systems and strategies needed to make their IT infrastructure more resilient in the event of disruption, and why many are turning to application performance monitoring (APM) in conjunction with high availability (HA) clusters ...