Associate Software Engineer

Lisa Banks is promoted to Principal MarComms Manager, APAC. by Telum Media 6 August 2026 12:13 AM Lisa Banks has stepped up at software development company, New Relic, being promoted to Principal Marketing Communications Manager, APAC. She joined the team in 2021 and was most recently Senior Customer Marketing, Communications and Content Manager, APAC. Lisa's experience spans journalism, tech agency positions, and in-house roles within the education and government sectors. Telum Media creating connections. Book a demo You might also enjoy. Zoe Guest has started as Marketing and Communications Manager at Lagardere AWPL. She was previously Communications Manager at Optus. Prior to this, Zoe worked at a number of agencies and in-house within the health sector. 5 August 2026 11:53 PM Tim Lele has been promoted to the new role of Head of Communications for Golf Australia and the PGA of Australia. He was previously Strategic Communications Manager at Golf Australia. In his new role, he will lead their communications strategy, media relations, editorial storytelling, stakeholder engagement and internal communications functions across both organisations. Tim previously worked agency-side at Keep Left for more than a decade, where he most recently held the role of National Director of Public Relations. 5 August 2026 11:43 PM Industry update Independent Indian PR firm, Media Mantra, has launched new Australian operations under the brand Media Mantra Global. Operating out of offices in Sydney's Hunters Hill, the move represents the agency's strategic expansion into the Asia-Pacific region, with a stated vision of becoming a "globally integrated communications partner for brands looking to scale across international markets." With established operations in India and the UAE, the Australia launch strengthens Media Mantra Global's growing international presence, enabling the agency to offer integrated public relations, corporate communications, digital marketing, influencer marketing, content, and brand reputation services across multiple geographies. The Sydney office will cater to Australian businesses looking to expand into India and the Middle East while also supporting Indian and global brands seeking strategic communications expertise in Australia. Founder and CEO, Udit Pathak, said the Australian office is more than just an international expansion: "...it is a defining moment for Media Mantra Global and, I believe, for the Indian PR industry. We have always believed that Indian communications agencies can compete with the very best globally through strategic thinking, innovation, and execution excellence. "Australia is an important market with immense opportunities, and this expansion enables us to build stronger cross-border communication strategies for brands operating across India, the Middle East, and the Asia-Pacific region." 5 August 2026 5:12 AM 2 mins read

Introducing New Relic eBPF Logs - now in Public Preview. Application logs collected automatically by the eBPF agent and correlated to your services - no code changes or new agent to deploy. Application logs are often one of the first places engineers look during an incident. But getting those logs into the same workflow as your metrics and traces can still require another collector, another configuration file, another set of plugins, and another operational surface to secure and maintain. With New Relic's eBPF agent, teams get application monitoring and network visibility from a single deployment without the need of per-language libraries and code changes. It's the simplest path New Relic, Inc. has built to broad, consolidated visibility across your services. That simplicity is powered by eBPF: a secure, sandboxed, and widely adopted Linux technology that lets New Relic observe what's happening on your systems safely and efficiently, without changing a line of your application code. New Relic eBPF delivered application monitoring with automatic discovery came first, then eBPF Network Metrics and APM. But one signal was still collected outside it: your logs. Today, New Relic, Inc. introduce the Public Preview of New Relic eBPF Logs; application logs collected automatically by the eBPF agent and correlated to your services, with no new agent to deploy. One agent, now including logs. If you're already running the eBPF agent, you know the appeal: application monitoring with automatic service discovery and network visibility, all flowing through one lightweight agent you deploy once. eBPF Logs closes that gap by bringing log telemetry into the same unified lifecycle. This consolidation also results in stronger security. Every additional agent is one more component to patch and secure; by collecting logs through the agent you already operate rather than a separate third-party forwarder, you reduce the number of moving parts and shrink the attack surface you have to defend. Logs in context automatically. The point of eBPF Logs isn't just to move logs - it's to make them immediately useful. Because the agent already understands your services, your logs arrive already connected to them. * Automatic collection: the eBPF agent picks up application logs directly from your running services; there's nothing for developers to add to the code. * Auto-linked to your services: the same entity synthesis that powers eBPF application monitoring ties each log line to the service it came from, so Logs in Context lights up automatically. * OpenTelemetry-first: logs are delivered to New Relic's OpenTelemetry endpoint, fitting cleanly into an open, standards-based pipeline. * Safe by design: eBPF observes in a secure, sandboxed, read-only way. It's a proven, broadly adopted approach that adds visibility without changes to your applications or added risk. * You stay in control of your data: New Relic's pipeline control gateway lets you filter sensitive or PII content before it arrives at NRDB. A day in the life: an FX service under pressure. Picture a foreign exchange (FX) service that returns live currency-conversion quotes for a payments platform. During a busy trading window, a share of quote requests starts failing, and some customers see their conversions rejected. * From the FX service entity: you already watch its golden signals and network activity; you notice a spike in errors and climbing latency. * Its logs surface right there in context, correlated to the service automatically. There's no switching tools and no hunting across hosts to find them. * The logs tell the story: a burst of "stale price and rate quote expired" messages and slow responses from an upstream rate provider. The service is rejecting quotes because the provider's prices are arriving too late to safely honor. The Result: instead of guessing whether it's the app, the network, or the provider, you have the exact log evidence in one place within one agent and one workflow. You can fail over to a backup rate feed or adjust timeouts in minutes, not hours. Getting started (Public Preview). * If you already run the New Relic eBPF agent, you are most of the way there. To try eBPF Logs in Public Preview: * Deploy or upgrade the eBPF agent on your Linux hosts or Kubernetes clusters - no need to swap application libraries or restart your apps. [docs link - still to come] * Turn on application log ingestion with the Public Preview opt-in. * Open your service entity and see Logs in Context automatically. Next steps. Try eBPF Logs in Public Preview and see how application logs appear in context with the services you already monitor in New Relic. If you are already using New Relic eBPF, start by upgrading the agent and validating application log capture in a supported environment. If you are new to New Relic eBPF, explore the broader eBPF capabilities, including eBPF Network Metrics and eBPF Logs, to see how kernel-level telemetry can simplify troubleshooting across modern cloud-native systems. Gilbert Tsang is a Senior Product Manager at New Relic focused on observability solutions powered by eBPF and cloud-native technologies. He works closely with engineering teams to develop capabilities that help organizations gain deeper insight into application performance, infrastructure behavior, and network telemetry across distributed systems. Ben Rivera is a Senior Product Marketing Manager at New Relic, focused on OpenTelemetry-first experiences that help platform teams standardize faster and operate telemetry with confidence. The views expressed on this blog are those of the author and do not necessarily reflect the views of New Relic. Any solutions offered by the author are environment-specific and not part of the commercial solutions or support offered by New Relic. Please join New Relic, Inc. exclusively at the Explorers Hub (support.newrelic.com) for questions and support related to this blog post. This blog may contain links to content on third-party sites. By providing such links, New Relic does not adopt, guarantee, approve or endorse the information, views or products available on such sites. 780+ integrations to start monitoring your stack for free.

Grafana Assistant expands to more than 30 data sources. * Craig Risi Software Architect | Game Designer| Writer | Speaker Follow InfoQ on. Grafana Labs has expanded the capabilities of Grafana Assistant, enabling its AI-powered observability assistant to query and correlate data across more than 30 different data sources through natural language. The company claims that this update is a step toward "unified observability", allowing operators, developers, and site reliability engineers (SREs) to investigate incidents, generate queries, and troubleshoot complex distributed systems without switching between multiple monitoring tools. The enhancement builds on Grafana Assistant's broader AI strategy unveiled at GrafanaCON 2026, where the company positioned AI as an operational partner rather than simply a chatbot. By expanding the number of supported data sources, including cloud platforms, databases, observability backends, issue trackers, and infrastructure monitoring systems, Grafana is attempting to eliminate a common challenge facing modern operations teams: fragmented operational data spread across dozens of disconnected platforms. Modern production environments rarely rely on a single monitoring platform. Instead, organizations typically collect metrics, traces, cloud telemetry, infrastructure events, business data, and operational context all from different tools and sources. Traditionally, investigating a production incident has required engineers to move between these tools, correlate timestamps manually, reconstruct service dependencies, and piece together a complete understanding of what happened. Grafana Assistant aims to simplify that process by allowing users to ask natural language questions that span multiple systems simultaneously. Instead of manually constructing queries in PromQL, LogQL, SQL, or TraceQL, engineers can simply describe the problem they are investigating and allow the assistant to retrieve and correlate the relevant information. Unlike general-purpose AI assistants, Grafana Labs claims that Grafana Assistant has been designed specifically for observability workflows. Beyond answering questions, it can generate dashboards, construct complex monitoring queries, explain unfamiliar metrics, navigate Grafana resources, and launch investigations using telemetry from across an organization's infrastructure. With the latest release, support has expanded to include additional enterprise data sources such as Snowflake, Oracle, Elasticsearch, Dynatrace, Honeycomb, MongoDB, Zabbix, and Jira, allowing investigations to incorporate operational, infrastructure, and business context within a single conversation. Rather than forcing users to learn multiple query languages, the idea is that the assistant translates natural language into the appropriate queries while respecting existing permissions and role-based access controls. The announcement reflects broader shifts occurring within observability itself. As distributed systems become more complex and AI-powered applications generate increasing volumes of telemetry, simply collecting data is no longer enough. Operations teams increasingly need intelligent systems capable of correlating information across logs, metrics, traces, profiles, infrastructure events, and application behavior. As a result, like its competitors, Grafana has steadily expanded its AI portfolio throughout 2026, introducing AI Observability for monitoring large language model applications, Model Context Protocol (MCP) support for integrating external AI agents, and making Grafana Assistant available to self-managed Grafana Enterprise and OSS deployments. Grafana's announcement comes as observability vendors increasingly compete on AI capabilities rather than telemetry collection alone. Datadog has expanded its AI-powered Bits AI assistant to perform automated investigations and root cause analysis, while Dynatrace's Davis AI combines causal reasoning with automation to accelerate incident response. Splunk integrates AI Assistant into security and observability workflows, and New Relic has introduced Intelligent Observability features that automatically correlate telemetry and recommend remediation actions. While natural-language interfaces can make investigations faster and more accessible, the quality and accuracy of an assistant's responses remain dependent on several factors, including the completeness of the underlying telemetry, appropriate access permissions, and the ability of AI models to reliably generate and execute queries across diverse and heterogeneous data sources. Craig Risi. Craig Risi is a man of many talents but has no sense of how to use them. He could be out changing the world but prefers to make software instead. He possesses a passion for software design, but more importantly software quality and designing systems in a technically diverse and constantly evolving tech world. Craig is also the writer of the book, Quality By Design: Designing Quality Software Systems, and writes regular articles on his blog sites and various other tech sites around the world. When not playing with software, he can often be found writing, designing board games, or running long distances for no apparent reason.