Operations | Monitoring | ITSM | DevOps | Cloud

Software testing is a rapidly evolving landscape where automation has replaced traditional manual practices significantly in recent years. Artificial intelligence (AI) and machine learning (ML) advancements introduced a groundbreaking approach to software testing known as autonomous testing. This article aims to provide a comprehensive guide on autonomous testing tools, highlighting their benefits, and the top tools available.

In my previous blog post, I discussed how transitioning from legacy monolithic applications to microservices based applications running on Kubernetes brings a range of benefits, but that it also increases the application’s attack surface. I zoomed in on creating security policies to harden the distributed microservice application, but another key challenge this transition brings is observing and monitoring the workload communication and known and unknown security gaps.

Asaf and I founded Logz.io in 2015 to provide developers with the ultimate open source log management experience. With our product, logging with the ELK Stack was simple, efficient, and automated for the first time – so customers could save engineering costs and accelerate MTTR.

In this post I will introduce sysgrok, a research prototype in which we are investigating how large language models (LLMs), like OpenAI's GPT models, can be applied to problems in the domains of performance optimization, root cause analysis, and systems engineering. You can find it on GitHub.

By storing copies of your content in geographically distributed servers, content delivery networks (CDNs) enable you to extend the reach of your app without sacrificing performance. CDNs lessen the demand on individual web hosts by increasing the number and regional spread of servers that are able to respond to incoming requests for cached content. As a result, they can deliver web content faster and provide a better experience for your end users.

Calling all Splunk Cloud Platform admins! At Splunk, we're dedicated to making your lives easier when it comes to managing various aspects of your Splunk Cloud Platform. One critical aspect that requires your attention is maintenance, which directly impacts the operational efficiency of your deployments. As the capabilities of the Splunk Cloud Platform grow, so do the Splunk-initiated updates like upgrades to keep your deployments up-to-date with the latest features and functionality.

Arguably, OpenTelemetry exists to (greatly) increase usage of tracing and metrics among developers. That said, logging will continue to play a critical role in providing flexible, application-specific, event-driven data. Further, OpenTelemetry has the potential to bring added value to existing application logging flows.

Logz.io is honored to have our Cloud SIEM as one of the products available as part of the launch of AWS AppFabric. For customers invested in AWS, this inclusion allows you to use our cloud-based, agile SIEM seamlessly alongside other critical SaaS applications.