Latest news with #SRE
India.com
18-07-2025
- India.com
Engineering Precision for Transforming Enterprise Security: The Research of Abdul Samad Mohammed
Abdul Samad Mohammed has been a dim yet lasting presence through the last decade in the ever-changing fields of modern SRE and platform infrastructure. Earlier on, Abdul built resilient systems in scaling automation frameworks and compliance into very complex multicloud environments. From systems running AIX and Linux, to container orchestration and DevSecOps principles, Abdul injected an operational rigor into an engineering discipline. These learnings manifested into research incarnations of Abdul's reflective thoughts, fluent domain knowledge, and deep comprehension of security, observability, and platform reliability. Such research represents the very surfacing of a highly production-oriented engineer's close-to-the-ground contributions to academic and applied research while never descending into abstraction. Abdul's latest papers show how his applied engineering experience-from system bootstrapping challenges to virtual cluster GPU integration-has shaped solutions to pressing challenges in AI-assisted security and scalable infrastructure. The studies yield solutions to practical considerations that are implementable, scalable, adaptable, and empirically tested. Advanced Techniques for AI/ML-Powered Threat Detection and Anomaly Analysis in Cloud SIEM Abdul discusses the major operational challenge: that older SIEMs do not detect threats well in modern cloud-native infrastructures in Abdul Samad Mohammed's Research and Applications paper in July 2022. Abdul sketches AI/ML-driven methods to detect security anomalies while simultaneously alleviating alert fatigue through smart correlation of data from various telemetry sources. From his production experience, Abdul innovated methods linking network traffic data, endpoint logs, and identity signals into coherent event correlation pipelines and he explains in the paper, 'Detecting anomalies is not solely a statistical problem; it must reflect operational behaviour shaped by workload, topology, and temporal access patterns.' This system view led to the building of ML workflows that gave context rather than noise to alerts. According to Abdul, predictive analytics should allow the elimination of threat vectors while maintaining performance-a sacrifice he would not make, after having spent years optimizing both system uptime and response times. Automating Security Incident Mitigation Using AI/ML-Driven SOAR Architectures Abdul's contribution is found in the discussion of threat remediation automation in high volume contexts (Advances in Deep Learning Techniques, Vol. 2, Issue 2, August 2022). This research obviously has the complexion of Abdul's own penchant for maintaining scalability and resilience in real-world considerations, which were among his primary tenets back in the SRE days. The adaptive playbooks proposed here use deep learning to autonomously implement remediation workflows for incidents. Abdul's experience with event-driven architectures and configuration drifts informed his SOAR deployment strategy for enterprise SOCs. From this perspective, Abdul has been implementing dynamic orchestration frameworks that react to context rather than relying on rules alone. 'Security playbooks must evolve with live context,' he writes, 'not with static assumptions.' Defining security automation as a learning process rather than a codified procedure stems from his early on-call triage days, where static alerts rarely led to valuable insights unless they were somehow enriched by real-time context. His deep knowledge of telemetry, NLP integration, and reinforcement-learning mechanisms make him a strong voice for SOAR orchestration logic. The playbooks that the research designed and validated are stated to reduce manual escalations while improving the accuracy of responses. His contribution to SOAR include algorithmic design and deployment issues focusing on modularity, cross-tool integration, and compliance alignment. Improvement of LLM Capabilities Through Vector-Databases Integration In the state-of-the-art paper 'Leveraging Vector Databases for Retrieval-Augmented Large Language Model Reasoning', published in the Journal of AI-Assisted Scientific Discovery, Vol. 4, Issue 1 of January 2024, Abdul tackles the task of optimizing LLM workflows with vector search integration, showing how he deftly applies systems knowhow to this newly emergent LLM and secure reasoning domain. Based on his background in hybrid infrastructure management and data-intensive pipelines, Abdul approaches the LLM problem with a mindset concerning high-availability systems and secure access controls. The research described in this paper outlines a blueprint for deployment of retrieval-augmented generation (RAG) frameworks leveraging vector databases to improve the precision of queries and data traceability of LLM responses. Abdul states: 'Vector search integration must complement language model inference without introducing latency or compromising data governance.' This view presented an architectural design balancing the often conflicting trade-offs between query latency, memory indexing, and securely retrieving. Abdul's main contributions concern the architecture that systematizes bridging language models with enterprise-grade infrastructure to ensure implementations of RAG address performance, traceability, and compliance issues. His experience with containerized workloads, GPU clusters, and identity access proxies positions him to contribute even further with a pragmatic deployment approach so the paper's recommendations can transition into production environments. The orientation in the paper on verifiable and low-latency retrieval marries well with Abdul's overarching interest in operational professionalism. Grounded in Practice, Built for Impact Abdul Samad Mohammed, throughout his research, followed a common pattern: translating production problems into scalable, research-backed frameworks. His applications, whether it be to make SIEM more responsive, to automate SOAR response loops, or to optimize LLM infrastructure, are deeply anchored in operational practice. These studies reflect not just a technical rigor but also a mindset shaped by many years spent solving real-world systems problems. His research draws strength from his career spent in the field, supporting critical services, infrastructure scale-out management, and ensuring compliance in a high-availability platform. Carrying these from the field into the academic arena, Abdul has proposed plausible solutions ready for organizational adoption.
Time of India
03-07-2025
- Business
- Time of India
Gadkari launches road projects worth 4.6k crore in state
1 2 3 Ranchi/Garhwa: Union minister of road transport and highways Nitin Gadkari laid foundation stones of three road projects worth Rs 1,700 crore and inaugurated seven road projects worth Rs 4,650 crore in the state on Thursday at two separate programmes held in Ranchi and Garhwa. Stating that the Centre is already working on projects worth Rs 2 lakh crore in Jharkhand, Gadkari said plans are afoot for additional projects worth Rs 1 lakh crore in the state. In Garhwa, Gadkari laid the foundation stone for Rs 1,330 crore four-lane project measuring 32 km from Chattisgarh-Jharkhand border to Gumla on NH-43. That apart, he inaugurated the Rs 1,130 crore four-lane Garhwa bypass road measuring 22.73 km on NH-75 under the Ranchi-Varanasi economic corridor. With the construction of the by-pass road from to Khajuri village (Garhwa district), the residents heaved a sigh of relief. The by-pass from Shankha village (Palamu district) to Khajuri village (Garhwa district) links about two dozen villages in Palamu and Garhwa. He also sanctioned Garhwa-Ambikapur four-lane road and few other projects worth around Rs 2,460 crore in Garhwa district. In Ranchi, too, he gave his approval to outer ring road project and widening of Ranchi-Muri Road. Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Giao dịch CFD với công nghệ và tốc độ tốt hơn IC Markets Đăng ký Undo by Taboola by Taboola Gadkari said national highway projects worth Rs 40,000 crore have already been completed in the state while projects worth Rs 70,000 crore are in various stages of implementation. "More projects worth Rs 75,000 crore are in the offing, under various stages," he said. Setting timelines for a few ongoing projects, he said that the Rs 36,000-crore Varanasi-Ranchi-Kolkata corridor will be over by March 2028. A six lane between Delhi-Kolkata estimated around Rs 31,700-crore will be completed by June 2026 and Ranchi-Patna four-lane economic corridor worth Rs 8,900 crore is eyeing December 2029 deadline. State finance minister Radhakrishana Kishore, who was present in Garhwa, cited how Garhwa and Palamu have stopped receiving security related expenditure (SRE) scheme owing to Naxal menace but has now stopped getting it. "Centre says that Naxal menace is now over in Garhwa and Palamu but I personally believe that it is contained only because of 196 police pickets. Remove those pickets, and you will realise how troublesome law and order is here again. Hence, we must continue to get those funds to address the challenges in this region," he said, adding that these regions are rain shadow area and needs special assistance to stop migration and further development projects. Gadkari advised the minister to get an official order passed from the govt and he will help in building over 1,000 ponds through NHAI free of cost like he did in Vidharbha (Maharashtra) to tide over water crisis in farm dominated areas.
Business Wire
30-06-2025
- Business
- Business Wire
Steadybit Launches the First MCP Server for Chaos Engineering, Bringing Experiment Insights to LLM Workflows
SOLINGEN, Germany--(BUSINESS WIRE)--Steadybit GmbH, the leader in chaos engineering and reliability testing, announced today the launch of the new Steadybit MCP (Model Context Protocol) Server – the first AI-extensible solution for chaos engineering. 'With our new MCP, we are providing a new way for teams to work with their experiments to learn about their systems and improve their overall system resilience.' This MCP Server is a standardized way to connect Steadybit data to LLMs and AI workflows, enabling SRE teams to rapidly run analysis and generate insights about their system reliability and resilience. Recent high-profile outages across major cloud and security platforms highlight the tremendous cost of unexpected system failures. As SRE teams work to improve their system reliability in an increasingly complex world, chaos engineering is the go-to strategy for making proactive improvements. AWS describes chaos engineering as a strategic necessity that is 'essential for improving resilient systems', and Gartner recommends chaos engineering for organizations as a critical resilience practice. Bringing Chaos Engineering Into the AI Era By running chaos experiments with Steadybit, teams are able to test and define the limits of their system resilience before incidents occur so they can mitigate risks and validate redundancies. With this new MCP, teams can easily pull data from their chaos experiments into their LLM workflows. 'Every team and tech stack works a little differently. We believe it's important for a chaos engineering tool to be as easy to deploy and customize as possible, while maintaining the best-in-class features that make adoption across an enterprise seamless,' said Benjamin Wilms, CEO and Co-founder of Steadybit. 'With our new MCP, we are providing a new way for teams to work with their experiments to learn about their systems and improve their overall system resilience.' By using all the data from past incidents, post-mortems, and completed experiments, the Steadybit MCP Server can help SRE teams uncover reliability learnings and take informed actions to improve their systems. Prompt Examples Featuring the Steadybit MCP With simple prompts, organizations using Steadybit for chaos engineering can now use LLM workflows in Claude, Gemini, or ChatGPT to get answers to questions like: 'We've been running experiments with Steadybit for a few months now. Can you create a report to summarize the experiment results since then for each team?' 'Review the types of experiments we have been running so far. Can you recommend a prioritized list of experiment types relevant to our systems that we have not yet run?' When the Steadybit MCP is combined with other MCPs from observability and incident response tools, teams can then enter even more meaningful prompts, like: 'Since we have started running chaos experiments, please use metrics in PagerDuty to report the difference it has made on our MTTR and incidents.' 'Review recent incidents for Service A in Datadog. Can you suggest a few experiments we could run with Steadybit that would help us test and improve the service's reliability?' Introducing New Reliability Workflows for Teams 'As our teams test out different AI use cases, we can now directly connect data from Steadybit into any LLM workflows,' commented Krishna Palati, Director of Software Engineering at Salesforce. 'This MCP will enable us to just type a prompt to pull custom reports, analyze reliability testing gaps, and get insights on what experiments to run next.' Steadybit is on a mission to make it easier for teams to adopt and roll out chaos engineering at scale. With this latest release, Steadybit is making chaos engineering more accessible and empowering teams to innovate and learn with every experiment. About Steadybit Steadybit is the chaos engineering platform that makes it easy for organizations to proactively reveal reliability issues and train their operational resilience. With Steadybit, reliability and platform teams can quickly build, customize, and deploy experiments across their full tech stack using an intuitive no-code editor, flexible open source framework, and extensive automation capabilities. With strong observability integrations, Steadybit enables teams to seamlessly optimize alerts, discover reliability gaps, and establish continuous verification of their systems. With this proactive approach to reliability, enterprises can confidently achieve service availability objectives, mitigate incidents, and deliver best-in-class services at scale.
Business Upturn
30-06-2025
- Business
- Business Upturn
Intellias strengthens cloud transformation capabilities as one of only 19 Google Cloud DevOps specialists worldwide
CHICAGO, June 30, 2025 (GLOBE NEWSWIRE) — Intellias, a global software engineering and digital consulting company, today announced that it has earned the highly coveted Google Cloud DevOps Specialization. Fewer than one percent of all Google Cloud partners—just 19 out of more than 2,300 worldwide—hold this distinction, underscoring the firm's leadership in cloud-native engineering and DevOps delivery. Becoming a Specialized partner elevates the company's status within the Google Cloud Partner Advantage Program, providing the business with a significant endorsement for the work it does across North America, Latin America, Europe, the Middle East, Africa, Japan and Asia-Pacific. For Intellias, the recognition affirms a long-term strategy of investing in advanced engineering talent, rigorous best practices, and deep Google Cloud expertise. 'Achieving the DevOps Specialization proves we can translate advanced engineering into real business value,' said Regina Viadro, SVP Global Head of Digital Technology Services and President, North America at Intellias. 'Our clients trust us to modernize critical infrastructure and reduce time to impact—and this credential validates that trust.' Dmytro Vedetskyi, Head of Cloud and DevOps at Intellias, added: 'Earning the Google Cloud DevOps Specialization is a significant achievement that showcases our team's extensive technical expertise and demonstrated ability to deliver impactful results for clients. This recognition is more than just a successful audit — it stands as a testament to Google Cloud's trust in us as a strategic partner. It underscores our ongoing commitment to innovation, excellence, and the strength of our technology-driven professional team.' The Google Cloud DevOps Specialization is the program's highest technical credential. To qualify, partners must pass an independent technical assessment, present verified customer success stories, and maintain a team of certified engineers. What this means for clients With the specialization in place, Intellias clients can expect: Faster time-to-market: Automated CI/CD pipelines that shorten release cycles and speed new-feature delivery. Higher reliability: Cloud-native architectures and Site Reliability Engineering (SRE) practices that improve uptime and performance. Lower operational overhead: Infrastructure-as-code and automated provisioning that cut manual effort and reduce costs. Future-proof scalability: Modern DevOps toolchains built on Google Cloud that grow seamlessly with business demand. Intellias will continue to expand its DevOps and cloud services portfolio, helping organizations re-architect legacy systems, adopt cloud-first strategies, and innovate at startup speed, all while maintaining enterprise-grade security and governance. Notes to editors About Intellias Intellias is a global software engineering and digital consulting company. Operating as a trusted technology partner to top-tier organizations, the firm helps companies operating in North America, Europe, and the Middle East accelerate their pace of sustainable digitalization and embrace innovation at scale. For more than 20 years, Intellias has been building mission-critical projects and delivering measurable outcomes to ensure lasting change for its clients, such as HERE Technologies, TomTom, ZEEKR, HelloFresh, and Travis Perkins. Olha Kolomiichuk – [email protected] Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. Business Upturn takes no editorial responsibility for the same. Ahmedabad Plane Crash
Yahoo
24-06-2025
- Business
- Yahoo
RapDev Earns #2 Spot on Boston Business Journal's 2025 Best Places to Work List
BOSTON, June 24, 2025 /PRNewswire/ -- RapDev, an engineering-first consultancy specializing in SRE, DevOps transformation, and AI-driven service operations, is thrilled to announce it ranked second on the Boston Business Journal's 2025 Best Places to Work list. This recognition celebrates the Boston-area companies whose employees rate them highest on engagement, satisfaction, and workplace culture. "At RapDev, we don't just build creative engineering solutions, we build an environment where our team can thrive," said Elyse Neuemeier, Head of People & Operations. "This recognition is a direct reflection of our team's shared values: transparency, curiosity, flexibility, and a no-frills approach to collaboration." RapDev's fast-growing team supports some of the world's largest organizations by designing and delivering high-impact ServiceNow and Datadog implementations. But behind the scenes, it's the company's culture that powers its success: keep meetings light, communication open, and engineering challenges exciting. From catered lunches and weekly poker nights to relocation support and hybrid work flexibility, RapDev balances a high-performance culture with benefits that actually matter. Employees enjoy unlimited PTO, generous parental leave, and a strong emphasis on autonomy and creative problem-solving. Previously named the #1 Top Place to Work in Massachusetts by The Boston Globe and recognized on Forbes' America's Best Startup Employers 2025 list and Inc.'s Best Workplaces, RapDev continues to invest in both its people and its delivery. As it continues to scale across the ServiceNow and Datadog ecosystems and expand into Europe, the company remains committed to hiring top-tier talent and giving them the space, support, and trust to do their best work. Founded in 2019, RapDev is the go-to partner for Fortune 1000 organizations looking to accelerate and optimize their Datadog and ServiceNow implementations. As a trusted Datadog Premier Partner and ServiceNow Elite Partner, RapDev offers unparalleled expertise in implementation at scale. RapDev expertly guides organizations through their Engineering and DevOps transformations from beginning to end, with a focus on automation and AI-driven service operations. For more information, visit View original content to download multimedia: SOURCE RapDev Sign in to access your portfolio
