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Lars Juhl Jensen
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CPR Seminar, University of Copenhagen, Copenhagen, Denmark, February 6, 2009
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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
apidays
In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
WSO2
The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
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ICT role in 21st century education and its challenges
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Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
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Strategies for Landing an Oracle DBA Job as a Fresher
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Unraveling signaling networks by data integration
1.
Unraveling signaling networks
by data integration
2.
Lars Juhl Jensen
3.
4.
5.
promoter analysis
6.
Jensen & Knudsen,
Bioinformatics , 2000
7.
genome visualization
8.
Pedersen, Jensen et
al., Journal of Molecular Biology , 2000
9.
function prediction
10.
Jensen, Gupta et
al., Journal of Molecular Biology , 2002
11.
12.
13.
data integration
14.
Jensen & Bork,
Drug Discovery Today: TARGETS , 2004
15.
Gavin, Aloy et
al., Nature , 2006
16.
cell-cycle regulation
17.
de Lichtenberg, Jensen
et al., Science , 2005
18.
Jensen, Jensen, de
Lichtenberg et al., Nature , 2006
19.
drug repurposing
20.
Campillos, Kuhn et
al., Science , 2008
21.
signaling networks
22.
phosphoproteomics
23.
Linding, Jensen, Ostheimer
et al., Cell , 2007
24.
in vivo
phosphosites
25.
kinases are unknown
26.
peptide assays
27.
Miller, Jensen et
al., Science Signaling , 2008
28.
kinase-specific
29.
in vitro
30.
no context
31.
machine-learning methods
32.
Phospho.ELM
33.
Miller, Jensen et
al., Science Signaling , 2008
34.
kinase-specific
35.
no context
36.
context
37.
association networks
38.
Linding, Jensen, Ostheimer
et al., Cell , 2007
39.
NetworKIN
40.
Linding, Jensen, Ostheimer
et al., Cell , 2007
41.
sequence motifs
42.
NetPhorest
43.
Miller, Jensen et
al., Science Signaling , 2008
44.
data organization
45.
Miller, Jensen et
al., Science Signaling , 2008
46.
automated pipeline
47.
compilation of datasets
48.
redundancy reduction
49.
training and evaluation
50.
classifier selection
51.
motif atlas
52.
53.
179 kinases
54.
93 SH2 domains
55.
8 PTB domains
56.
BRCT domains
57.
WW domains
58.
14-3-3 proteins
59.
comparison
60.
Miller, Jensen et
al., Science Signaling , 2008
61.
association networks
62.
STRING
63.
functional associations
64.
630 genomes
65.
genomic context
66.
gene fusion
67.
Korbel et al.,
Nature Biotechnology , 2004
68.
conserved neighborhood
69.
Korbel et al.,
Nature Biotechnology , 2004
70.
phylogenetic profiles
71.
Korbel et al.,
Nature Biotechnology , 2004
72.
primary experimental data
73.
protein interactions
74.
Jensen & Bork,
Science , 2008
75.
gene coexpression
76.
77.
literature mining
78.
79.
curated knowledge
80.
Letunic & Bork,
Trends in Biochemical Sciences , 2008
81.
benchmarking
82.
von Mering et
al., Nucleic Acids Research , 2005
83.
transfer by orthology
84.
combine all evidence
85.
Frishman et al.,
Modern Genome Annotation , 2009
86.
small molecules
87.
STITCH
88.
Kuhn et al.,
Nucleic Acids Research , 2008
89.
kinase inhibitor screens
90.
Fedorov et al.,
PNAS , 2007
91.
design optimal experiments
92.
multiple reaction monitoring
93.
Linding, Jensen, Ostheimer
et al., Cell , 2007
94.
high-throughput validation
95.
NetworKIN predictions
96.
augmented browsing
97.
Reflect
98.
99.
100.
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