Logz.io announced several new open source-based monitoring solutions to complement its unified SaaS platform for log, metrics and tracing analytics - Smart Tiering, Alerts Correlation and the new Insights based Exceptions to provide engineers with the flexibility and functionality needed to monitor and troubleshoot production issues faster and more cost effectively.
Logz.io Smart Tiering is a new Log Management capability that allows engineers to decrease logging costs by storing data in different ‘tiers’. The three levels to retain data, Real-time Tier, Smart Tier, and Historical Tier, offer the flexibility to define a data management strategy that divides data based on the desired balance between cost, performance and availability.
■ Smart Tiering: Designed to help customers reduce costs by providing the flexibility to divide data across three different availability and performance tiers.
- Real-time Tier for critical production data, with real-time performance and availability for troubleshooting.
- Smart Tier for active and trending data that isn’t accessed as frequently, but needs the same real-time performance. Designed with reduced data replication and a slightly reduced SLA.
- Historical Tier for historical data, with archival to AWS S3 and/or Azure Blob for compliance needs.
■ Application Insights - Exceptions: A newly redesigned Exceptions tab is now available in Kibana’s Discover. Exceptions surfaces relevant issues with code execution picked up from log messages to reduce troubleshooting and debugging time. Exceptions is part of Application Insights which uses machine learning (ML) to automatically uncover the most relevant exceptions and error messages
■ Alert Correlation: The new Alert Correlation feature enhances advanced threat detection in the Logz.io Cloud SIEM, as well as improves alert accuracy in operations use cases. Alert Correlation enables the notification of users when specific sequences of security events are taking place and indicating critical attacks. With the ability to define multi query alerts, engineers can now receive an alert of a brute force attack followed by a malware download by the same actor. This correlation ensures these critical events are not only visible in isolation.
The Latest
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...